Symmetrical and Asymmetrical Distributions in Statistics and Data Science
Probability distributions are a fundamental topic of statistics and data science that is highly relevant in both theory and practical applications. There are numerous probability distributions that come in many shapes and with different properties. In order to identify an appropriate distribution for modeling the statistical properties of a population of interest, one should consider the shape of the distribution as the crucial factor. In particular, the symmetry or asymmetry of the distribution plays a decisive role. This reprint is a collection of articles on a wide range of topics in the field of symmetrical and asymmetrical distributions that are relevant in statistics and data science. The proposed methods and concepts are discussed in detail and illustrated with several real-life data examples.
Cooperative MCR-NOMA For 5G Systems
The main concept and idea is to improve spectrum utilization for the wireless networks in the fifth generation (5G) using Non Orthogonal Multiple Access (NOMA). This is the new technique which useful for multiple access technology. In this, the main application of Non Orthogonal Multiple Access to Multicast Cognitive Radio networks (MCR-NOMA) is studied, here to make better performance of the primary and secondary user networks, the multicast secondary users will serve as relays. Depend on the accessible Channel State Information (CSI), there are three different secondary user scheduling strategies for the cooperative MCR-NOMA scheme are conferred. In order to calculate the performance of the system, we need to derive the closed form expressions of both networks such as outage probability and diversity order. Additionally, we have introduce a new system which is referred to as mutual outage probability to identify the cooperation benefit when compared to the non-cooperative MCR-NOMA scheme. The simulation results will prove powerful achievement gains are obtained for the primary and secondary networks with the of proposed cooperative MCR-NOMA.
Angular for Kids
Welcome to the book "Angular for Kids: Start your Coding Adventure". This book is your introduction to the world of Angular. It's your first step towards developing websites and mobile applications. With Angular, you can turn your ideas into reality. Learning should be fun, so you will feel like you are reading a story. By the end of this book, you will have a good understanding of Angular. You will have taken the first steps in your modern web programming adventure. Have fun programming!
Leveraging Cyber Threats and National Security
The more sophisticated and wide-ranging cyber-attacks present new threats to governments, critical infrastructures, and businesses across the world. National interest and public safety demand these dynamic hazards be understood for safeguarding. Cyber threats include APTs, ransomware, and cyber espionage. The threats touch on economic stability, resilient infrastructure, military operations, and personal privacy, which put national security at risk. Despite the growing threat environment, the landscape of detecting, analyzing, and responding to cybersecurity threats has been changing through artificial intelligence. AI-based solutions detect abnormalities, trends, and threats swiftly and effectively in terms of security through state-of-the-art algorithms, machine learning, and predictive analysis. Soon, AI is predicted to aid cybersecurity experts in attack prediction, defense, and enhancing national cyber resilience. This book reflects on AI-led cybersecurity solutions and supports persistent research, investment, and collaboration on the front to tackle new cyber threats.
Fantasy Sports Meets Reality
The thesis explores the transformative impact of Fantasy Cricket platforms like Dream11 on sports engagement, focusing on how data-driven decisions shape team management. It emphasizes the significance of datasets, such as Head-to-Head Stats and Venue Records, in player selection. Using the K-Nearest Neighbors algorithm, the study identifies promising players to form a winning Dream11 team, highlighting the intersection of cricket, fantasy sports, and data analytics. The research introduces innovative methodologies and comprehensive data analysis tailored to the dynamic landscape of fantasy sports, aiming to enhance understanding and decision-making in this field.
Embedded Machine Learning
This book represents a first step towards embedded machine learning. It presents techniques for optimizing and compressing deep learning models. These techniques make it easier to deploy a high-performance, lightweight deep learning model on resource-constrained devices such as smartphones and microcontrollers. This paper also explores a topical knowledge transfer technique, namely knowledge distillation. This technique makes it possible to improve the performance of a lightweight deep learning model, while transferring to it the knowledge of a complex, high-performance deep learning model. All these techniques have been detailed in this book and illustrated with practical Python implementations, generally based on the use of the pytorch and tensorflow libraries.
Introduction to Computer
This book presents a complete history of the production and construction of computers which includes definitions and types of computers and their applications. In addition, it talks about the use of new technology and its various applications in educational classes. One of the important features of this book is that it shows students and teachers the methods of using computers and modern technology to solve educational problems.
Sophisticated Persistent Threats and Electronic Forensics Examination
This is a very dedicated book for digital forensics which includes memory, mobile forensics and advanced persistent threats. This brings a single book which has knowledge from literature surveys, research journals and industrial professionals which gives the user to consider a detailed analysis for the development of any software and tool for the betterment and solving problems with related to the memory extraction after deleting and even one such tool is under development which will recover the deleted data manually by only one single tool will be very useful to recover the data. This book can also be used to develop open-source intelligence tool for systematic backtracking and information gathering. The basic of every memory is very deeply defined which includes the File Allocation Table, Master boot Record, New Technology File System and memory management techniques.
Analyzing Machine Learning Algorithms
Exploring the realm of machine learning involves monitoring the health of elderly loved ones by tracking their motions to keep them healthy. Datasets created by recording the body movements of elderly people are input to machine learning models for prediction. In this study, the proposal is to compare two popular machine learning algorithms KNN and K-Means for parameters like accuracy and precision. The ageing population has become a significant concern worldwide, as it poses a significant challenge to healthcare systems. The deterioration of health in elderly individuals is multifactorial, and it is essential to develop predictive models to identify potential health risks and intervene early. This study aims to explore using KNN(K-Nearest Neighbours) and K Means algorithms to analyse the health data of elderly individuals. The study collected and analyzed data from a cohort of elderly individuals, including demographic, lifestyle, and clinical parameters. The KNN algorithm was used to predict the likelihood of developing chronic diseases, such as diabetes, hypertension, and cardiovascular diseases, based on the input features.
Practical Exercises - Relational, Periodic Motion & Waves Calculators
After twenty-eight preceding sets of practical exercises laid forward in preceding manuscripts, I have inspired from my core ICT academic and research experience to produce this manuscript. Here, a successive set of 31 cohesively written practical exercises in softwares, directly related to the scientific field of Relational, Periodic Motion and Waves Calculators, is laid forward, in a similar style as in the preceding manuscripts. Such exercises apply better to beginner levels in university courses. Of course, its applicability to advanced level courses may be appreciated by many academicians to their discretion. It is retained here that adaptations of these exercises by academicians to their requirements is very possible. It is recommended for students to devise good/workable summary sheets for each exercise, along with writing proper report and referencing needed. For each exercise, a share of analysis is required to develop thinking and critical/professional abilities. Most exercises are devised for computers/laptops along with currently trending smart phones/tablets. Students must communicate properly with their coach, who in turn, are recommended to perform good follow-ups.
Anomaly Detection in Log Files
"Anomaly Detection in Log Files: A Comprehensive Guide" by Tathagata Roy Chowdhury is an in-depth exploration of the methodologies and techniques used to identify anomalies in log files. This guide delves into the critical role of anomaly detection in enhancing cybersecurity and system monitoring by identifying unusual patterns and behaviors in data that deviate from the norm. The book begins with an introduction to AI and machine learning, providing a solid foundation for understanding the advanced techniques discussed later. Key chapters cover various aspects such as the architecture of distributed database management systems, data collection, data cleaning, and the creation of CSV files. The guide emphasizes the importance of data preparation, visualization, and the use of confusion matrices to evaluate model performance. By offering a detailed review of supervised methods and a thorough analysis of web servers, this book is an invaluable resource for both beginners and advanced practitioners in the field of anomaly detection.
Writing a scientific paper in Business Informatics
Scientific work reflects the value of its author in relation to his or her scientific skills and knowledge, although plagiarism raids the field as a result of poor choice of supervisor, and increased incompetence, nevertheless, any scientific discipline exhorts us to refer to the work of others and not to copy-paste, with no raison d'礙tre in the subject explored.When we produce a scientific work, we need to know what it is intended to achieve, both in general and in business informatics in particular. Does this book concern only computer scientists?On the one hand, yes; on the other, no. How?No, for the simple reason that any researcher who reads it will have gained at least one useful element contributing in one way or another to his or her knowledge.
The Role of Computerisation in Brazilian Small and Medium-sized Enterprises
Considering the current environment of extreme competition in almost all environments, it is imperative for companies to have a great capacity for transformation in order to continue competing, and innovations in the area of information technology have shown themselves to be important enablers of this transformation. Special attention should be paid to small and medium-sized businesses that don't have the same resources as large companies. Smart companies are those that manage to survive in increasingly competitive environments, especially because they have the agility needed to carry out the digital transformation process, which can often be simpler for small and medium-sized businesses. Find out in this book what the main challenges of this process are, and how smart companies have managed to overcome them.
Mastering Drone Technology with AI
DESCRIPTION"Mastering Drone Technology with AI" is a detailed guide to the transformational power of AI in drone technology. It investigates how AI is transforming numerous elements of drone operations, from navigation and flight automation to data analysis and decision-making processes. The book gives readers a thorough knowledge of cutting-edge advancements including Machine Learning, computer vision, and autonomous flight systems, making it an indispensable resource for anybody interested in the convergence of AI and unmanned aerial vehicles (UAVs).This book is a valuable resource for professionals in agriculture, logistics, surveillance, and environmental monitoring looking to integrate AI-powered drones into their work. It offers step-by-step guides and practical projects to help readers gain the skills needed to excel. By exploring the latest advancements and strategies, professionals can stay competitive in this rapidly evolving field. The book also covers safety and regulatory issues, ensuring that AI-equipped drones are used ethically and legally.By promoting a thorough awareness of both the theoretical and practical elements of AI in drone technology, the book enables professionals to innovate and lead in their respective sectors.WHAT YOU WILL LEARN● Understand the basic components, types, and flying mechanisms of drones.● Learn how AI enhances drone capabilities like object detection, navigation, and decision-making.● Explore real-world uses of AI in drones for agriculture, surveillance, delivery, and environmental monitoring.● Gain awareness of legal and ethical issues, including airspace regulations and privacy concerns.● Get insights into future trends in drone technology and AI to stay ahead in this fast-growing industry.WHO THIS BOOK IS FORThe target audience for this book includes undergraduate students from diverse academic backgrounds, including engineering, life sciences, mathematics, and technology. Additionally, it is beneficial for drone enthusiasts, tech experts, students, educators, industry professionals, academics, entrepreneurs, and policymakers interested in integrating AI with drones for a variety of applications.
Machine Learning Techniques for Bird Sound Classification
Conservation of biodiversity is necessary for our existence. Birds are an integral part of biodiversity. Birds play an important role in controlling the functioning of ecosystem. Monitoring a region for presence of bird species is an important task required for conservation of biodiversity. Hence, monitoring avian behavior accurately and efficiently will be beneficial to the mankind. Acoustic communication in birds is rich and is the most important way by which they make their presence felt in the surroundings. Birds are difficult to be sighted, and therefore, their sounds are the most direct ways for the humans to detect them. In order to assess the biodiversity of a region, there is a great need for development of automatic analysis of avian sounds. This book discusses machine learning techniques used to analyze, classify and recognize bird species. Recognizing bird species, through their sounds, is a typical pattern recognition problem. Audio classification basically involves vital temporal, spectral and statistical features and classifiers. In this research, various feature extraction methods and classifiers are compared in order to develop a system with high accuracy.
Executive Agile
DESCRIPTION Introducing a groundbreaking book designed to bridge the gap between Agile methodologies and executive leadership. This comprehensive guide offers insights for individuals who want to collaborate effectively with CEOs and C-suite executives in steering organizations towards Agile excellence.This book offers a detailed guide to organizational change management, exploring popular models like Kotter's model, Kubler-Ross grief cycle, Gartner Hype Cycle, and diffusion of innovation. It provides a solid foundation in Agile and DevOps mindsets, focusing on how to support CEOs and lead Agile transformations. The book introduces the Agile Coaching Competency Model, helping you understand the roles and skills needed for Agile leadership. You will also learn how to enhance your executive presence and influence within your organization. Through practical advice, real-world examples, and proven strategies, this book equips you to excel as an executive Agile coach, driving successful transformations and building strong relationships with C-level executives.This book is a must-read for anyone looking to work with executives on implementing Agile practices, offering practical guidance and deep insights into the challenges and opportunities that come with leading change in today's fast-paced business environment.WHAT YOU WILL LEARN● Learn about the roles and perspectives of C-suite executives like CEO, CFO, and CTO.● Differentiate between organizational coaching, mentoring, and executive coaching.● Master Agile foundations and Agile Transformations. ● Understand change management models like Kotter's 8-step and Kubler-Ross Change Curve.● Develop skills in executive presence, strategic thinking, and stakeholder management.● Develop your career in the organization and unlock your talents. WHO THIS BOOK IS FORThis book is for specialists, professionals, consultants, and leaders aiming to drive organizational transformation. It provides insights into the C-suite perspective on Agile, helping readers influence change at all levels.
Canva for Creators
This book serves as a comprehensive guide to mastering Canva, a versatile design tool that has become essential for both beginners and seasoned professionals in graphic design. From the very beginning, it introduces the core features and applications of Canva, enabling users to familiarize themselves with its interface and tools. Each chapter provides a detailed exploration of Canva's functionality, such as creating layouts, working with templates, and editing photos, making it easy for anyone to bring their design ideas to life. The emphasis on dashboard exploration and tool navigation builds a solid foundation for users, allowing them to approach the platform with confidence. As the book progresses, it delves deeper into Canva's advanced features, providing insights on using templates, adding animations, and publishing professional content. Readers are guided through essential design aspects like creating charts, graphs, and managing the visual aesthetics of their work. The chapters on presentation design and portfolio creation give valuable tips on organizing content and aligning elements for maximum impact, catering to those looking to craft visually stunning presentations.
Practical Insights into Data-Driven Urban Development
As urban areas continue to grow at an unprecedented pace, the need for innovative and efficient urban development strategies has never been more critical. The transition from traditional urban planning to data-driven urban development marks a significant evolution in how cities are designed, built, and managed. In this context, the role of Building Information Modeling (BIM) and the concept of the smart city have emerged as pivotal elements in the modern urban landscape.This book aims to bridge the gap between theoretical concepts and practical applications. It continues the discussion from the previous volume, delving deeper into the pragmatic aspects of data-driven urban development and offering concrete examples to guide professionals in the field.While the potential of data-driven urban development and smart cities is widely recognized, the path to implementation is fraught with challenges. This book seeks to address these challenges by offering practical insights and real-world examples that demonstrate how to translate data-driven theories into actionable strategies.
Neural network methods for monitoring dynamic objects
This monograph is devoted to the neural network methods for monitoring dynamic objects during the development of operating mode (using the example of helicopter turboshaft engines in flight operation mode). The variants of neural network monitoring methods have been developed depending on the operating modes. A method for optimising the object operating parameters for further operation has been developed.
Energy Harvesting and Energy Storage Systems, Volume II
The research and development on energy harvesting and energy storage methodology are growing very rapidly. Hence, a summary of recent advances in energy harvesting and energy storage methodology is needed. This reprint discusses the recent developments in energy harvesting and energy storage systems. Sustainable development systems are based on three pillars: economic development, environmental stewardship, and social equity. One of the guiding principles for finding the balance between these pillars is to limit the use of non-renewable energy sources.
SAP S/4hana
Whether you're making the move to SAP S/4HANA, or just curious about what the suite has to offer, this introductory guide is your starting point. Explore your business processes in SAP S/4HANA, now optimized by AI: finance, manufacturing, supply chain, sales, human capital management, and more. Get insight into SAP S/4HANA's architecture and key features for reporting, sustainability, extensibility, and artificial intelligence. Build your business case, choose your adoption path, and get ready for your implementation! In this book, you'll learn about: a. Key Capabilities Learn about SAP S/4HANA's core offerings. Explore new-and-improved features such as the Universal Journal, advanced intercompany sales, centralized procurement, and much more. Discover how embedded and generative AI capabilities enhance your business processes and reporting options. b. System Architecture Understand how SAP S/4HANA is built from the ground up. Compare SAP S/4HANA's on-premise, private cloud, and public cloud architectures. Then see how to extend and optimize your system using a clean core strategy and SAP Business Technology Platform. c. Your SAP S/4HANA JourneyTake your first steps towards implementation. Navigate your adoption path, whether you're planning a new implementation, system conversion, or selective data transition. Follow the SAP Activate methodology to plan your SAP S/4HANA project. Highlights include: 1) Finance2) Manufacturing3) Supply chain4) Sales, marketing, and commerce5) Sourcing and procurement6) Human capital management7) Sustainability8) Clean core9) Intelligent technologies10) Reporting and analytics11) Deployment12) Case studies
The Fate of AI Society
Hackers who exploit binary computers become expert cybercriminals. A vicious cycle of undetected attacks by criminal gangs, spies, and foreign enemies' fuels skilled staff shortages and escalating costs. Ken Hamer-Hodges, explains why outdated computers cannot stop malware and how democracy is undermined by corrupt dictators. Digital convergence subverts yesterday's binary computer, allowing advanced malware, pervasive cameras, misinformation, AI, and deep-fakes to destroy our culture and civilization. His inspiring examples explain the perfection of computer science that all can grasp. How malware thrives and why operating systems lead to Orwellian dictatorship. To prevent catastrophe computer hardware must catch up with software progress, preventing malware and stopping AI breakout. He explains how to transition to a well-engineered, crime free, global cybersociety. How machine code achieves Alonzo Church's vision of networked function abstractions that avoid disaster by accelerating scientific progress. Plotting the path for radical improvement is vital for civilization to flourish as democratically controlled, Al-empowered, global cyber societies. Ken shows how science drives high performance with high reliability for independent applications needed in a world run by superhuman software. Join the author as he explores the fix to computer science. He shows how nations can thrive in a world run by dubious software, governed by superhuman AI, working as functional democracies kept safe from criminals, spies, and dictators.
Crowd Analysis
This Book focuses on crowd behavior analysis for public safety, using advanced deep neural networks and CCTV footage. It reviews the latest CNN software tools and techniques, presenting a taxonomy of crowd behavior analysis architectures and datasets. The study proposes a novel system using CNN models like Inception-V4 and InceptionResNet, along with RNN models such as LSTM and GRU, to enhance accuracy in detecting suspicious activities and improving crowd management strategies.
Deep Learning Methods for Sentiment Analysis Using Bert and Gru Models
"Deep Learning Methods for Sentiment Analysis Using BERT & GRU Models" addresses the need for advanced sentiment analysis in financial markets, where traditional tools often fail to capture complex market emotions.This book presents deep learning techniques with Gated Recurrent Unit (GRU) and Bidirectional Encoder Representations from Transformers (BERT), offering enhanced analysis of sentiment patterns in financial data. It outlines a methodical approach involving data gathering, preprocessing, downsampling, and sentiment classification, using GRU and BERT for precise results.The book is ideal for finance, data science, and AI professionals, the book provides valuable insights to improve sentiment analysis, benefiting those engaged in financial market analysis, investment strategies, and natural language processing, and aims to enhance decision-making and strategic planning.
Edge-Cloud Computing and Federated-Split Learning in the Internet of Things
Federated Learning (FL) is a new collaborative learning method that allows multiple data owners to cooperate in ML model training without exposing private data. Split Learning (SL) is an emerging collaborative learning method that splits an ML model into multiple portions that are trained collaboratively by different entities. FL and SL, each have unique advantages and respective limitations, may complement each other to facilitate effective collaborative learning in the Internet of Things (IoT). The rapid development of edge-cloud computing technologies enables a distributed platform upon which the FL and SL frameworks can be deployed. Therefore, FL and SL deployed upon an edge-cloud platform in an IoT environment have formed an active research area that attracts interest from both academia and industry. This reprint of the special issue "Edge-Cloud Computing and Federated-Split Learning in the Internet of Things" aims to present the latest research advances in this interdisciplinary field of edge-cloud computing and federated-split learning. This special issue includes twelve research articles that address various aspects of edge-cloud computing and federated-split learning, including technologies for improving the performance and efficiency of FL and SL in edge-cloud computing environments, mechanisms for protecting the data privacy and system security in FL and SL frameworks, and exploitation of FL/SL-based ML methods together with edge/cloud computing technologies for supporting various IoT applications.
Expert systems basic concepts
The goal of this book is to briefly introduce the techniques used in the design of Expert Systems. In the first chapter, we begin by presenting the basic concepts of artificial intelligence. The various schools of thought, the origins, and the domains of artificial intelligence are also discussed. In the second chapter, we will cover propositional logic, predicate logic, and various proof methods (equivalences and refutation). Chapter three is dedicated to representing the operational principles of expert systems, including the fact base, the rule base, and the inference engine. In chapter four, the logical programming language Prolog is briefly introduced, followed by chapter five, which includes examples of its use in demonstrating propositional logic or first-order logic, as well as in developing Expert Systems. In Chapter 6, we describe the IT elements required to develop an Expert System with a Web interface.To apply the various aspects covered in the different chapters, a series of exercises is provided at the end to conclude this book.
C++ Programming Lab Manual
The C++ Programming Lab Manual is a structured guide designed to help students learn and master the fundamentals of C++ programming through hands-on exercises and practical projects. This manual covers a wide range of topics from basic syntax and control structures to advanced concepts such as object-oriented programming, exception handling, and file manipulation.Key FeaturesComprehensive Coverage, Function and Scope, Object-Oriented Programming, Advanced Concepts, Project-Based Learning and Additional Resources.BenefitsHands-On Learning: Each chapter includes practical lab exercises that reinforce theoretical concepts and enhance programming skills.Structured Learning Path: Follows a logical progression from basic to advanced topics, allowing students to build a solid foundation in C++ programming.Real-World Applications: Emphasizes the application of C++ in real-world scenarios, preparing students for software development roles and further academic pursuits.The C++ Programming Lab Manual is an indispensable resource for both educators and students aiming to master C++ programming through structured learning, practical application, and project-based assignments.
Artificial intelligence in image resizing
The monograph outlines a method of distinguishing people in low-resolution television images using a histogram oriented gradients, a nonlinear processing model consisting of an adaptive interpolating and retrainable twelve- to twenty-seven dimensional artificial neural network to help reduce losses in television images, a mobile device that narrows the transmission band by compacting real-time television images by size and a hardware-software complex has been developed based on an improved method of identifying people in television images used for search purposes in emergencies.
Supervised Machine Learning
The book "Supervised Machine Learning: A Comprehensive Guide" by Dr. Subir Gupta aims to provide an in-depth understanding of supervised machine learning algorithms. It targets students, professionals, and researchers, offering clear explanations and practical applications. The book is divided into three main sections: an introduction to the fundamental concepts and types of supervised learning, a detailed exploration of regression algorithms, and an extensive examination of classification algorithms. Each algorithm is explained with definitions, practical uses, pseudocode, and discussions of their limitations. The guide is designed to be a valuable resource for anyone looking to apply machine learning techniques effectively to solve real-world problems.
Streamlit Essentials
DESCRIPTION Streamlit Essentials is a comprehensive guide aimed at helping you build interactive data applications using Python. With easy-to-use syntax, it allows developers to quickly build visualizations, dashboards, and machine learning models.This book is a practical guide to building data science applications using the Streamlit framework. It covers everything from installation to advanced topics like ML integration and deployment. With real-world projects and examples, you will learn how to use Streamlit's widgets, styling, and data visualization tools to create dynamic real-time dashboards, containerize your applications with Docker, securely handle sensitive data, and deploy the applications on leading cloud platforms, all while building practical projects that can be added to enhance your portfolio.Throughout the book, you will develop the skills needed to turn data insights into interactive visualizations, ensuring your projects are not only functional but also engaging. The focus is hands-on learning, with step-by-step guidance to help you build, optimize, and share your work. By the time you have completed this book, you will be able to confidently deploy applications, showcase your skills through a professional portfolio, and position yourself for success. WHAT YOU WILL LEARN● Understanding of Streamlit's capabilities, from its core functionalities to advanced features.● Create engaging and informative visualizations using Streamlit's extensive library of charts, graphs, and maps.● Develop efficiently using time-saving techniques for rapid prototyping and iterative development.● Optimize app performance with advanced topics like caching, session tracking, and theming.● Create a compelling portfolio to demonstrate your Streamlit proficiency.WHO THIS BOOK IS FORWhether you are a data scientist, analyst, developer, or business professional, this book will provide you with the knowledge and skills needed to build engaging and informative dashboards, visualizations, and ML models.
Algorithmic Aspects in Information and Management
This two-volume set LNCS 15179-15180 constitutes the refereed proceedings of the 18th International Conference on Algorithmic Aspects in Information and Management, AAIM 2024, which took place virtually during September 21-23, 2024. The 45 full papers presented in these two volumes were carefully reviewed and selected from 76 submissions. The papers are organized in the following topical sections: Part I: Optimization and applications; submodularity, management and others, Part II: Graphs and networks; quantum and others.
500 Tips and Techniques for Peoplesoft Development and Troubleshooting
This book is the culmination of the author's 20+ years of experience as a PeopleSoft developer and consultant. Drawing from his extensive knowledge and expertise, the author has curated a collection of 500 intermediate and advanced-level technical tips that cater to developers at all stages of their careers.From mastering the fundamentals to tackling complex development challenges, the book covers a wide range of topics critical to PeopleSoft success. With over 100 commonly used code examples, developers can quickly apply these practical solutions to their everyday tasks, saving time and effort.One of the standout features of the book is its comprehensive troubleshooting section. Technical issues can pose significant hurdles in PeopleSoft development, but with the author's troubleshooting tips, developers gain invaluable strategies to identify and resolve problems efficiently. Whether it's debugging PeopleCode or troubleshooting integration errors, the book equips developers with the tools needed to overcome obstacles easily.
Cybersecurity Mastery
Cybersecurity Mastery from Fundamentals to Advanced Techniques is your comprehensive guide to mastering the ever-evolving field of cybersecurity. Designed for readers ranging from novices to seasoned professionals, this book offers a structured and engaging approach to understanding and implementing cybersecurity principles and practices. In a world where digital threats are increasingly sophisticated, securing information has never been more critical. This book provides a complete roadmap for anyone looking to gain a deep understanding of cybersecurity. It covers fundamental concepts, advanced techniques, and practical applications, ensuring that readers are well-equipped to protect themselves and their organizations from cyber threats.This book, is designed for a diverse audience, including beginners who need a solid introduction to cybersecurity basics and practical guidance, intermediate practitioners seeking to expand their knowledge and skills, advanced professionals aiming to stay current with cutting-edge techniques and emerging trends, and students and educators.
Sentiment Classification of Social Media Reviews
Social media platforms are the most popular and even more powerful forms of online communication. Through various platforms like reviews, tweets blogs etc., many information reflect people's opinion and attitudes towards any products, services or an organizations. These opinions are also published and shared among users online using social media platforms. This behaviour has recently brought great opportunities to companies in tracking and monitoring their business growth as well as product reputations by listening to the comments and opinions of their users. However, finding and monitoring opinion sites on the Web and distilling the information contained in them remains a formidable task for industries. This book presents a Natural Language Processing based Machine Learning techniques for mining user opinions from social media and presenting Aspect oriented summaries to the industries.
Sdn Implementation Using Floodlight Controller
Floodlight is an open source platform based on software-defined networking (SDN) that acts as a centralized controller for network management and configuration. This controller was developed by an open community of developers, many of whom belong to Big Switch Networks, that uses the OpenFlow protocol to orchestrate traffic flows in a software-defined networking (SDN) environment. Floodlight is used to implement and manage software-defined networks, which separate the control plane from the data plane in a network, allowing greater flexibility, scalability and control over the network infrastructure. This book is a guide for readers who wish to implement software-defined networks using the Floodlight controller. Initially, the theoretical background is described, followed by the installation of the controller and finally the implementation of SDN with the controller.
AI Fundamentals Explained
Welcome to my new book called AI Fundamentals Explained. My name is Brian Mackay and I have worked in the IT industry since 1997 when I started at BT Internet helpdesk in my home town of Thurso, in the county of Caithness on the north coast of Scotland. I then went on to work at BT Global Services, Nildram in Buckinghamshire, England, then I moved to Edinburgh, Scotland where I worked for Scottish and Newcastle UK the Heineken UK, NHS Quality Improvement Scotland, NHS Lothian, Bodycote Plc and BSKYB service desk. I passed my Masters in Cybersecurity from Edinburgh Napier University in 2019 and now work as a Cybersecurity consultant for The Scotcoin Project CIC. This book starts off by looking at the early days of AI and machine learning and moves on to the various types of AI today such as, what are LLM's, what is ethical AI, AI legislation, Chat GPT and what is Generative AI, how AI will benefit and be a challenge to the cybersecurity industry, then finally looks at the potential future of AI such as quantum AI.
Gene Expression Data Analysis
The book introduces phenomenal growth of data generated by increasing numbers of genome sequencing projects and other throughput technology-led experimental efforts. It provides information about various sources of gene expression data, and pre-processing, analysis, and validation of such data.
Mathematical Inequalities in Fractional Calculus and Applications
In recent years, fractional differential equations have been used frequently in modelling of real systems in numerous fields of applied sciences. To study the existence, uniqueness, and stability of solutions in a system of fractional differential equations, inequalities involving derivatives and integrals of arbitrary powers, also known as fractional inequalities, have been used. Additionally, fractional inequalities were used to find upper and lower bounds of solutions to a system of fractional differential equations. In addition, fractional inequalities were also used in the fields of probability, numerical quadrature, and many more. Over the years, many authors have extended several generalizations of the various classical inequalities to fractional calculus in the literature.This reprint is a compilation of fifteen original research articles on mathematical inequalities involving fractional derivatives and fractional integral operators and their many applications in various mathematical and related fields. The topics include: fractional integral inequalities; Inequalities of generalized functions in fractional calculus; Q-calculus; Inequalities in fractional calculus on time scales; fractional order derivatives; applications of fractional inequalities; fractals; non-local mathematical models; and fractional complicated systems.
Virtually Lost
This book examines connections between the psycho-social difficulties and challenges faced by children and younger people in their online lives and the possibility that the digital technostructure may come to form the backbone of a new post-democratic system of technocratic governance.
Computer networks
Computer networks and telecommunication is one of the fields of computer management, which the whole world is delighted about. As for the technicians in the profession, learners, researchers and others are experiencing enormous difficulties as a result of the lack of books in the field or in our libraries, as virtual books are not accessible everywhere.Putting such a book in the field is a way of overcoming these difficulties, so that every user can at least contribute to/benefit from it. Computer and telecommunication networks, which are shaking up all businesses in terms of their performance and trade, are helping and satisfying employers in the day-to-day running of their businesses, which has been difficult in previous years. People have to travel long distances, with all the possible risks, to obtain a document, to check a message, to follow a training course, to repair or buy an important tool, etc.
Advances in Fixed Point Theory and Its Applications
Currently, the field of fixed-point theory is a highly active area of research. Its applications extend to a wide range of disciplines, including different areas of mathematics, engineering, economics, and biology. Fixed-point theory continues to evolve, offering new insights and solutions to complex problems across these various fields. This reprint encompasses all the papers that were accepted and published in the Special Issue titled "Advances in Fixed Point Theory and Its Applications". We hope that these publications can provide inspiration for researchers in the fields of fixed-point results.
Advanced Signal Processing and Transceiver Programming for IoT Systems
Signal processing is a vital component in the Internet of Things (IoT) ecosystem, playing a pivotal role in extracting valuable insights from the vast amounts of data generated by IoT devices. The proliferation of IoT devices has led to an exponential increase in data, which, if not processed and analyzed efficiently, can result in information overload. Signal processing techniques are essential to convert this data into actionable intelligence, enabling IoT applications to make informed decisions in real-time. Signal processing is integral to the effective functioning of IoT systems, particularly in the context of RX/TX operations. By leveraging advanced signal processing techniques, IoT systems can efficiently manage and analyze the vast amounts of data generated, converting it into actionable intelligence. This capability not only helps in preventing information overload but also enhances the overall performance and decision-making processes of IoT applications.
Strategies For Higher Thinking
Boldly step into the world of AI and revamp your approach to innovation - even if technical jargon sends you into a tailspin. Your journey to mastering artificial intelligence starts here!Are you an innovator eager to leverage AI for groundbreaking solutions?A scientist intrigued by the mind-blowing advancements AI has brought to your field?Or you're an educator ready to modernize your curriculum and equip your students for a digitally driven future.Amidst the backdrop of the 21st-century AI revolution, this first step can feel humongous.But you're not alone.Today, people from all walks of life leverage AI to overcome challenges, streamline processes, and revolutionize their fields.Whether you're a scientist, technologist, artist, professional, or savvy teen, the good news is - AI doesn't have to be a mystery.Welcome to "Strategies for Higher Thinking: How AI Enhances Our Lives," the ultimate guide that breaks down AI's mind-boggling complexities and puts you in control.From practical applications to ethical considerations, this comprehensive guide empowers readers to navigate the AI landscape and harness its potential for personal and professional growth.Now, the future can unfold on your terms.Here's a peek into what you'll discover inside this guide: This is a detailed step-by-step guide to understanding AI, even if you're a complete newbie.The innovation of ethical AI is used in diverse fields such as the environment, agriculture, law enforcement, and the arts.The truth about AI in the job industry and the critical skills for career enhancement and job-ready results.The 40 frequently asked questions about AI were finally answered in one resource.This is a field-specific guide to applying AI in education, business, science, technology, environmental conservation, and more.The straightforward explanation of AI technological foundations such as machine learning and neural networks.An insight into the diversity and inclusion of AI systems and their impact on diverse audiences.The story of AI, from its earliest concepts to future speculations.And so much more!You might have objections fueled by misconceptions and fears. You might think, "AI is too complex," "The field evolves too rapidly," or worry that "AI resources don't apply to my specific interests." Rest assured, this guide is designed for readers like you. Our straightforward, inclusive approach ensures that no one is left behind.We simplify the complex, ensure content remains current, and provide broad yet specialized coverage - all while debunking common myths that could hold you back.Whether you're an AI novice eager to dip your toes or an enthusiast ready to plunge headfirst, "Strategies for Higher Thinking" gears you up for the journey. Explore the AI landscape, understand its impact, and harness its powerful potential across diverse fields.If you're ready to unlock the mystery of AI, elevate your innovative mindset, and take charge of your future.
Cybersecurity Lessons from Covid-19
Using the SARS-CoV-2/CoVID-19 pandemic as a giant case study, and structured by the domains of information security, this book looks at what the crisis teaches us about security.
Enterprise Architects
Enterprise architects are specialized industry professionals responsible for leading joint business and IT planning in organizations, thereby enabling the success of their digital transformation efforts. Despite their immediate relevance to today's ubiquitous digitalization tendencies, the very presence of enterprise architects, as unique organizational characters, is largely unnoticed in the mainstream discourse and their role undeservingly remains in the shadow. Even though enterprise architects have existed, in some form, since the dawn of business computing, no comprehensive information sources devoted specifically to their profession have been created so far. Whereas the broader phenomenon of enterprise architecture enjoyed significant attention in the industry, the central actors of the respective practices themselves relatively rarely became the subject of discussion, as if their behavior and activities are self-evident.Based on an extensive study of the work of enterprise architects and the existing topical literature, this book provides the first detailed and systematic description of various aspects of their occupation integrated into a coherent logical picture. In particular, this book offers clear, research-based, conceptually sound and practically actionable answers to the key questions about enterprise architects: Who are enterprise architects as personalities and what do they do?What knowledge, skills and experience do enterprise architects possess?What kind of instruments do enterprise architects employ?What activities do enterprise architects perform and how do these activities compose their work in organizations?What types and specializations of architects exist and how do they differ?What challenges do enterprise architects face in their job and how can they be overcome?What should one do to become an enterprise architect in the future?This book is organized in a highly structured, sequential manner and does not require any prior acquaintance with the trade of enterprise architects. The book is intended for a broad audience of people interested in enterprise architects including aspiring and experienced practitioners, architecture managers, academic researchers, lecturers and students in universities.
Digital Innovation for Pandemics
This book presents the potential of digital responses to pandemics including COVID-19. It explores new digital concepts for learning and teaching, provides an overview of organizational responses to the crisis through digital technologies, and examines digital solutions developed to manage the crisis.
Enterprise Architects
Enterprise architects are specialized industry professionals responsible for leading joint business and IT planning in organizations, thereby enabling the success of their digital transformation efforts. Despite their immediate relevance to today's ubiquitous digitalization tendencies, the very presence of enterprise architects, as unique organizational characters, is largely unnoticed in the mainstream discourse and their role undeservingly remains in the shadow. Even though enterprise architects have existed, in some form, since the dawn of business computing, no comprehensive information sources devoted specifically to their profession have been created so far. Whereas the broader phenomenon of enterprise architecture enjoyed significant attention in the industry, the central actors of the respective practices themselves relatively rarely became the subject of discussion, as if their behavior and activities are self-evident.Based on an extensive study of the work of enterprise architects and the existing topical literature, this book provides the first detailed and systematic description of various aspects of their occupation integrated into a coherent logical picture. In particular, this book offers clear, research-based, conceptually sound and practically actionable answers to the key questions about enterprise architects: Who are enterprise architects as personalities and what do they do?What knowledge, skills and experience do enterprise architects possess?What kind of instruments do enterprise architects employ?What activities do enterprise architects perform and how do these activities compose their work in organizations?What types and specializations of architects exist and how do they differ?What challenges do enterprise architects face in their job and how can they be overcome?What should one do to become an enterprise architect in the future?This book is organized in a highly structured, sequential manner and does not require any prior acquaintance with the trade of enterprise architects. The book is intended for a broad audience of people interested in enterprise architects including aspiring and experienced practitioners, architecture managers, academic researchers, lecturers and students in universities.
Imaging Methodologies for Lung Cancer Diagnosis
Computed Tomography (CT) is considered as the most sensitive imaging technique for early detection of lung cancer. On the other hand, there is a requirement for automated or semi-automated methodology in order to make use of large amount of data obtained from CT images and more accurately understanding of individual images. CAD can be used efficiently for early detection of lung cancer. Computer Aided Diagnosis (CAD) has been playing a significant role in cancer detection for the past two decades. Early detection of lung cancer is the only way by which the death rate can be reduced. But there is lot of difficulty in the early detection of lung cancer nodules. The usage of existing CAD systems for early detection of lung cancer with the help of CT images has been unsatisfactory because of its low sensitivity and high False Positive Rates (FPR).
