No-Reference Image Quality Assessment
No-reference image quality assessment plays an important role in various applications. This book provides a thorough exploration of NR-IQA, including an introduction to fundamental concepts and principles, representative traditional and DNN-based approaches, as well as some human-inspired NR-IQA models that draw on insights from human visual perception to further improve the performance of NR-IQA models. The main goal of this book is to offer a comprehensive resource for researchers interested in this field, to provide valuable insights and guidance in understanding and applying these innovative no-reference image quality assessment techniques.
Fuzzy Modeling and Fuzzy Control Systems
In recent years, with the rapid development of advanced machine learning, artificial intelligence, robot technology, networked control methods, deep space exploration, and other fields, successful applications in fuzzy control systems or even nonlinear dynamics systems (FCS/NDSs) have emerged. The modeling, analysis, and optimal control of FCS/NDSs have received considerable attention in the last two decades. As usual, the design and analysis of classic dynamics systems rely on deterministic mathematical models. However, dynamical systems are riddled with nonlinearity, complexity and time-delay properties, which make it difficult to obtain system optimization. Certain linearization assumptions are often employed to obtain the optimal theoretical closed-form solution in FCS/NDSs, which are inconsistent with the real engineering applications. Therefore, these advanced nonlinear sciences motivate us to explore new solutions to the problems abundant in FCS/NDSs. For this Special Issue, 10 papers have been peer-reviewed and accepted for publication. These papers can be categorized into nonlinear intelligent control, and the readers can read a brief description of each paper in the preface.
Cloud Application Architecture Patterns
If you're developing or considering cloud application architectures for your company's projects, this practical guide is an ideal place to learn and understand best practices for developing in the cloud. Architects and lead developers will learn how cloud applications should be designed, how they fit into a larger architectural picture, and how to make them operate efficiently. Authors Kyle Brown, Bobby Woolf, and Joe Yoder take you through the process step by step. You'll learn: Proven architectural practices for developing applications for the cloud Why some architectural choices are better suited than others for applications intended to run on the cloud How different technical choices work together to make applications better suited for the cloud Design and Implementation techniques that work well for developing cloud applications Ways to select the most appropriate cloud adoption patterns for your organization How all potential choices in application design relate to each other through the connections of the patterns How to chart your own course in adopting the right strategies for developing application architectures for the cloud Kyle Brown is an IBM Fellow, vice president and CTO for the IBM CIO and author of The Cloud Adoption Playbook. Bobby Woolf is an Open Group Certified Distinguished Technical Specialist who works with IBM clients and partners and is coauthor of Enterprise Integration Patterns. Joe Yoder is a distinguished member of the Association for Computing Machinery and a founder and principal of The Refactory. He's coauthor of A Scrum Book: The Spirit of the Game.
Anomaly Detection With Time Series Forecasting
Anomaly detection time series is a very large and complex field. In the past few years, many tech-niques based on data science were designed in order to improve the efficiency of methods developedfor this purpose. In this paper, we introduce Recurrent Neural Networks (RNNs) with LSTM units, ARIMA and Facebook Prophet library for anomaly detection with time series forcasting. Becauseof the difficulty in obtaining labeled anomaly datasets, an unsupervised technique will be experimented. Unsupervised anomaly detection is the process of detecting abnormal points in a given dataset without prior label for training. An anomaly could become normal during the data evolu-tion, therefore it is important to maintain a dynamic system to monitor the abnormality. While LSTMs and ARIMA are powerful methods for time series forecasting the future, the Prophet package works best with time series that have strong seasonal effects and several seasons of historical data. The Prophet is very powerful with missing data and shifts in the trend, and specially handles anomalies well.
Artificial Intelligence and Machine Learning
This book offers a detailed exploration of Artificial Intelligence (AI) and Machine Learning (ML), presenting the foundational principles that define these rapidly evolving fields. It covers essential AI concepts such as neural networks, natural language processing, robotics, and expert systems, while providing a deep dive into various machine learning techniques, including supervised, unsupervised, and reinforcement learning.Beginning with the history and development of AI, the book explains core techniques such as search algorithms, knowledge representation, and decision-making processes. Moving to ML, it introduces modern learning algorithms, classification techniques, and models like decision trees, support vector machines, and neural networks. Advanced topics such as deep learning, convolutional networks, and recurrent neural networks are also covered.Additionally, the book discusses the ethical implications of AI and ML, challenges in development, and their transformative impact across different sectors, from healthcare to finance.
The Ultimate Cyber Security Guide for Tiktok Everyday Users, Influencers and Content Creators
This Book is for you. It's written specially for all TikTok Everyday Users, Influencers and Content Creators around the world. We'll show you how you can make the most of TikTok - safely and securely! You'll find the knowledge and guidance you need to protect your TikTok account effectively. Think of it as your personal TikTok safety guide.You'll get to know the criminals, hackers, and trolls out there. What do they want with you and how do they attack TikTokers?We'll explain why you need to protect your TikTok account. Throughout the Book we'll show you how to stay safe by following the best practices experts recommend.This Book will help you understand the basic concepts of safety and security on TikTok. It's not for specialists, it's for TikTokers like you. We want you to have a better understanding of the importance of security. Most of all, we want you to have a better TikTok experience.
Applied Artificial Intelligence and Machine Learning
The click-through rate on web ads measures the number of clicks they receive from all customers who view them from web browsers.This paper, with the aim of anticipating customer preferences, proposes an approach that uses AI and ML to design and implement hyper-personalized experiences to automate the complex tasks related to predicting customer behaviors to better understand them and offer them intelligent web advertising.The proposed approach is based on granular customer segmentation, dynamic content adaptation, precise product recommendations and predictive analysis. To implement cognitive functions, data comes from Chatbots processed with data analysis, multivariate testing, attribution modeling and predictive optimization.A case study is discussed and the solution proposed and programmed with the Python language and its machine learning libraries: Pandas, NumPy, Matplotlib and Scikit-learn.
Introduction to Quantum Computing
This book offers a comprehensive exploration of quantum computing, a transformative field poised to revolutionize the landscape of computation. It introduces the fundamental concepts of quantum mechanics that underpin quantum computing, including qubits, superposition, and entanglement. The book covers core quantum algorithms and their potential applications, ranging from cryptography to optimization problems.Key topics include the principles of quantum gates and circuits, quantum error correction, and the current state of quantum hardware. The book also examines the practical challenges and limitations of building quantum computers, providing insights into the latest advancements and future directions in the field. Readers will gain a deep understanding of how quantum computing differs from classical computing and how it can be harnessed to solve complex problems that are currently intractable for classical machines.
Cloud Computing and Its Applications
Cloud computing (or cloud) has emerged as a breakthrough technology for sharing resources over the Internet. It is a newly emerging computing paradigm in which computing virtualized resources such as hardware, software, development, CPU, memory, network bandwidth, and data storage are provisioned as on demand services and released with minimal effort.Cloud computing refers to a setup of computing resources that can be shared anywhere, irrespective of the location of the users. It is the pay-as-you-go service for IT resources over the Internet, including applications, data storage, and data processing. Rather than building, owning, and maintaining their own IT infrastructure, businesses can use cloud to access technology resources such as computing capacity, storage, and databases on a pay-as-you-go basis. There is no doubt about the impact that cloud computing is having on businesses in all sectors.This is a comprehensive introductory text on the issues, ideas, theories, and problems on cloud computing. It is a must-read book for anyone who wants to learn about cloud computing, which is undoubtedly one of the most important technologies that has emerged in the last decade.
Comparing Supervised & Unsupervised ML for Fake News Detection
This investigation aims to develop a robust framework for detecting false information by comparing supervised and unsupervised machine learning algorithms. Unsupervised algorithms identify patterns without pre-labeled data, while supervised algorithms use labeled datasets to guide detection. The evaluation focuses on accuracy, precision, recall, and F1 score to assess each algorithm's effectiveness. The study details dataset composition, preprocessing techniques, and the strengths and limitations of each method. It utilizes Kaggle's dataset, featuring various news stories classified through meticulous verification, including real, fraudulent, and mixed authenticity levels. This research emphasizes the importance of precise labeling and preprocessing, aiming to enhance the development of effective fake news detection systems using advanced machine learning and natural language processing techniques.
Fantasy Sports Meets Reality
In the dynamic and ever-evolving realm of cricket, the emergence of Fantasy Cricket platforms, exemplified by Dream11, has heralded a transformative era in sports engagement. The symbiotic relationship between the traditional sport of Cricket and the innovative world of Fantasy Cricket, with a particular focus on the pivotal role that data plays in team selection on the Dream11 platform, is explored. The significance of Head-to-Head Stats and Venue Records is underscored, employing a sophisticated approach by utilizing the K-Nearest Neighbors algorithm. This algorithm serves as a key tool in identifying promising players, thereby facilitating the creation of a data-driven winning eleven for the Dream11 platform.By navigating the intricate intersection of Cricket, Fantasy Cricket, and data analytics, valuable insights into the strategic aspects of team formation are contributed, shedding light on the evolving sports engagement landscape in the digital age. In this landscape, where the ability to make strategic, data-driven decisions stands as the cornerstone of success, a new paradigm is unveiled where technology and analytics redefine the dynamics of sports participation.
Data Mining
The book describes a review of a new product recommender system that uses natural language processing (NLP) and text mining to analyze customer reviews. This system, designed to enhance product recommendations, processes reviews from platforms like Amazon and eBay to categorize and rank products based on user queries. It clusters products according to features mentioned in reviews and ranks them based on sentiment (positive or negative). The proposed system, PR-CT, was tested against existing systems using metrics such as Precision, Recall, F1 Score, and Average Response Time, and was found to perform better. However, the abstract notes that more data and development are needed to improve the system's efficiency.
Internet of Things
About this Book The Internet of Things (IoT) paradigm promises to make "things" including consumer's electronic devices or home appliances, such as medical devices, fridge, cameras, and sensors, to be the part of Internet environment. This exemplar opens the way to new innovations that will build fresh type of communications among things and humans, and enables the understanding of smart cities, environments, farming, infrastructures, and services for enhancing the quality of life and utilization of resources. IoT as an emerging paradigm supports integration, transfer, and analytics of data generated by smart devices. This book is written as a textbook on Internet of Things for educational programs at colleges and universities. The book goes over protocols and communications between devices. The book is organized into 5 chapters focusing on Physical and Logical Designs of IoT with its enabling technologies. Also introduces the reader about a generic design methodology for IoT and IoT system management approach using NETCONF-YANG. with IoT models along with various IoT Protocols and how to build IoT with Raspberry Pi and Arduino.
The Artificial Intelligence Papers
Modern artificial intelligence (AI) is built upon a relatively small number of foundational research papers, which have been collected and republished in this unique 350-page book. The first chapter provides a summary of the historical roots of AI, and subsequent chapters trace its development, from Rosenblatt's perceptron in 1958 to one of the early GPT models in 2019. Each paper is introduced with a commentary on its historical context and a tutorial-style technical summary. In several chapters, additional context is provided by the paper's original author(s). Written in an informal style, with a comprehensive glossary and tutorial appendices, this book is essential reading for students and researchers who wish to understand the fundamental building blocks of modern AI.
Home Computer Security On the Cheap
Keep your family safe from pornography, malware and other online threats. Every day we browse hundreds of websites hoping to make a purchase, interact with friends, read the news, watch movies or explore the next big thing. Unfortunately the Internet is ripe with information, movies, and pictures that we should avoid in order to keep our identities, children and our computers safe. Armed with the knowledge of how to implement the free tools mentioned in this book you will be able to take back your Internet freedom and remove the possibility of stumbling across one of "those" sites.
Human Hacked
Discover the future of cybersecurity through the eyes of the world's first augmented ethical hacker In Human Hacked: My Life and Lessons as the World's First Augmented Ethical Hacker by Len Noe, a pioneering cyborg with ten microchips implanted in his body, you'll find a startlingly insightful take on the fusion of biology and technology. The author provides a groundbreaking discussion of bio-implants, cybersecurity threats, and defenses. Human Hacked offers a comprehensive guide to understanding an existing threat that is virtually unknown. How to implement personal and enterprise cybersecurity measures in an age where technology transcends human limits and any person you meet might be augmented. The book provides: Exposure of a subculture of augmented humans hiding in plain sight Explorations of the frontier of bio-Implants, showing you the latest advancements in the tech and how it paves the way for access to highly restricted technology areas Discussions of cybersecurity tactics, allowing you to gain in-depth knowledge of phishing, social engineering, MDM restrictions, endpoint management, and more to shield yourself and your organization from unseen threats A deep understanding of the legal and ethical landscape of bio-implants as it dives into the complexities of protections for augmented humans and the ethics of employing such technologies in the corporate and government sectors Whether you're a security professional in the private or government sector, or simply fascinated by the intertwining of biology and technology, Human Hacked is an indispensable resource. This book stands alone in its category, providing not just a glimpse into the life of the world's first augmented ethical hacker, but also offering actionable insights and lessons on navigating the evolving landscape of cybersecurity. Don't miss this essential read on the cutting edge of technology and security.
Bridging the Digital Divide
In the not-too-distant future, in the heart of the entertainment industry, Samantha Sands is the visionary force behind her family's production empire. But when a revolutionary AI writing bot named IRIS is introduced by her budget-wary Board of Directors, her creative world is turned upside down.Initially resistant, Sam embarks on a transformative journey with IRIS, uncovering hidden energetic abilities and exploring the intricate intersections of technology, spirituality, and human consciousness.Then tragedy strikes, and Sam is pushed toward a radical decision-using advanced AI tech to bridge the gap between life and death.Guided by Professor Brad Falls, the brilliant creator of IRIS, Sam delves into a digital-spiritual nexus that blends science with the divine. As their bond deepens, they navigate the complexities of sexuality, addiction, and evolution, uncovering profound truths about themselves and each other.Bridging the Digital Divide, written by best-selling author Stephanie Brandolini, is a compelling tale of self-discovery. Follow Samantha Sands as she unearths her deepest wounds and embraces the power within to heal and transcend the boundaries of our 3D reality.This novel touches on the raw and real aspects of our human experience and is a must-read for fans of science, fantasy, spirituality, and faith. It's a testament to the courage it takes to express our true selves and the breakthroughs that come from pushing through fear and letting go of what no longer serves us.Prepare to be captivated by a story that expands the dimensions of imagination and explores the timeless quest for connection and authenticity. Bridging the Digital Divide promises to be the page-turner you've been waiting for.
Significance of Mathematical Modelling and Control in Real-World Problems
Mathematical modeling and system control are employed in many research problems, ranging from physical and chemical processes to biomathematics and life sciences. Their theoretical description is closely connected with various areas of pure and applied mathematics, including nonlinear modeling, integro-differential equations, nonlinear dynamics, pattern formation, non-Markovian processes, nonlinear and anomalous transport, time-delay equations, and so on. Thus, the further research and development of modeling in different research areas is still a hot research topic.
Applied and Computational Mathematics for Digital Environments, 2nd Edition
The present reprint contains a total of 10 articles accepted and published in the Special Issue "Applied and Computational Mathematics for Digital Environments, 2nd Edition". The topics of interest include, among others, scientific research, applied tasks, and problems in the following areas: 1. Building mathematical, structural, and information models of intelligent computer systems for monitoring and managing the parameters of digital environments;2. Software and mathematical technologies in the implementation of the intelligent monitoring and computer control of digital environments' parameters; 3. The application of mathematical models, Internet of Things technologies, machine learning, and artificial intelligence for big data analysis of digital environments; 4. Mathematical models and algorithms for identifying stable patterns between the parameters of digital environments and their complex and separate influence; 5. Mathematical modeling, machine learning, and their implementation within the concept of "smart" digital environments. I hope that this reprint will be useful to those who are interested in different aspects of applied and computational mathematics for digital environments in solving actual practical problems in all spheres of human life and activity.
Advances in Distance Learning in Times of Pandemic
The book Advances in Distance Learning in Times of Pandemic is devoted to the issues and challenges faced by universities in the field of distance learning in COVID-19 times. It covers both the theoretical and practical aspects connected to distance education. It elaborates on issues regarding distance learning, its challenges, assessment by students and their expectations, the use of tools to improve distance learning, and the functioning of e-learning in the industry 4.0 and society 5.0 eras. The book also devotes a lot of space to the issues of Web 3.0 in university e-learning, quality assurance, and knowledge management. The aim and scope of this book is to draw a holistic picture of ongoing online teaching-activities before and during the lockdown period and present the meaning and future of e-learning from students' points of view, taking into consideration their attitudes and expectations as well as industry 4.0 and society 5.0 aspects. The book presents the approach to distance learning and how it has changed, especially during a pandemic that revolutionized education. It highlights - the function of online education and how that has changed before and during the pandemic. - how e-learning is beneficial in promoting digital citizenship. - distance learning characteristic in the era of industry 4.0 and society 5.0. - how the era of industry 4.0 treats distance learning as a desirable form of education. The book covers both scientific and educational aspects and can be useful for university-level undergraduate, postgraduate and research-grade courses and can be referred to by anyone interested in exploring the diverse aspects of distance learning.
Technology and Education
The object of this study is the understanding of students in public schools in the Mamanguape Valley about the mediation of mobile devices - educational tablets - of new technologies in the teaching-learning process. The objectives were to: a) gather elements to characterize the students' view of new technologies in education, especially the use of the educational tablet tool in public schools; b) trace the use of mobile devices, educational tablets; c) analyze the relationship between the technologies allocated in schools to enable the use of educational tablets by students. Primary data was collected through questionnaires and interviews. All the information collected and systematized is incorporated into the database coordinated by GEPeeeS, where we record and analyse the presence of the Information Age and new technologies in education in the Mamanguape Valley. It is understood that the CCAE, through its courses, plays a fundamental role in the formation of cultural capital, involving new educational technologies through teaching, research and extension.
Platform Engineering
Until recently, infrastructure was the backbone of organizations operating software they developed in-house. But now that cloud vendors run the computers, companies can finally bring the benefits of agile custom-centricity to their own developers. Adding product management to infrastructure organizations is now all the rage. But how's that possible when infrastructure is still the operational layer of the company? This practical book guides engineers, managers, product managers, and leaders through the shifts that modern platform-led organizations require. You'll learn what platform engineering is--and isn't--and what benefits and value it brings to developers and teams. You'll understand what it means to approach a platform as a product and learn some of the most common technical and managerial barriers to success. With this book, you'll: Cultivate a platform-as-product, developer-centric mindset Learn what platform engineering teams are and are not Start the process of adopting platform engineering within your organization Discover what it takes to become a product manager for a platform team Understand the challenges that emerge when you scale platforms Automate processes and self-service infrastructure to speed development and improve developer experience Build out, hire, manage, and advocate for a platform team
Intelligent Computation and Analytics on Sustainable Energy and Environment
The 1st International Conference on Intelligent Computation and Analytics on Sustainable Energy (ICICASEE 2023) was held at Ghani Khan Choudhury Institute of Engineering & Technology (GKCIET), Malda, West Bengal, India.
Performance, Reliability, and Availability Evaluation of Computational Systems, Volume I
This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The first volume covers Chapter 1 to Chapter 14, whose subtitle is ``Performance Modeling and Background".
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.
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!
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
