New Advances, Challenges, and Illustrations in Applied Geochemistry
Modelling and Mining Networks
This book constitutes the refereed proceedings of the 20th International Workshop on Modelling and Mining Networks, WAW 2025, held in Vilnius, Lithuania, during June 30-July 3, 2025.The 13 full papers presented in this book were carefully reviewed and selected from 20 submissions.The aim of the 20th Workshop on Modelling and Mining Networks was to further the understanding of networks that arise in theoretical as well as applied domains. The goal was also to stimulate the development of high performance and scalable algorithms that exploit these networks.
Data Science and Analytics with Python
Since the first edition of "Data Science and Analytics with Python" we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This surge has led to the widespread adoption of the book, not just among business practitioners, but also by universities as a key textbook. In response to this growth, this new edition builds upon the success of its predecessor, expanding several sections, updating the code to reflect the latest advancements in Python libraries and modules, and addressing the ever-evolving landscape of generative AI (GenAI).This updated edition ensures that the examples and exercises remain relevant by incorporating the latest features of popular libraries such as Scikit-learn, pandas, and Numpy. Additionally, new sections delve into cutting-edge topics like generative AI, reflecting the advancements and the expanding role these technologies play. This edition also addresses crucial issues of explainability, transparency, and fairness in AI. These topics have rightly gained significant attention in recent years. As AI integrates more deeply into various aspects of our lives, understanding and mitigating biases, ensuring fairness, and maintaining transparency become paramount. This book provides comprehensive coverage of these topics, offering practical insights and guidance for data scientists and analysts.Designed as a practical companion for data analysts and budding data scientists, this book assumes a working knowledge of programming and statistical modelling but aims to guide readers deeper into the wonders of data analytics and machine learning. Maintaining the book's structure, each chapter stands alone as much as possible, allowing readers to use it as a reference as well as a textbook. Whether revisiting fundamental concepts or diving into new, advanced topics, this book offers something valuable for every reader.
Conceptualizing Digital Responsibility for the Information Age
Video Based Machine Learning for Traffic Intersections
Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions.The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection.Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development.Key Features: Describes the development and challenges associated with Intelligent Transportation Systems (ITS) Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersection Has the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts
The Smart Life Revolution
This book explores the integration of Artificial Intelligence (AI) across areas such as IoT, big data, healthcare, business, economics, and security, and improving the quality of life (QoL) in smart cities today.By looking in depth at the different application areas of AI, the reader learns about the broad and impactful ways AI is transforming our world, its profound influence in enhancing service efficiency, personalization, accessibility, and fostering both scientific and social advancement. The editors consider the importance of bridging theory and practice by offering a practical understanding of how key AI technologies can be applied in real-world scenarios for QoL. By covering both foundational concepts and advanced applications with case studies and practical examples, this approach ensures the reader obtains a comprehensive understanding of the technologies and their impact. An innovation mindset is emphasized with discussion about the challenges, opportunities, future trends, and potential research directions to prepare readers for ongoing technological advancements. The book takes an interdisciplinary approach by integrating knowledge from computer science, engineering, and social sciences, to offer a holistic view of technology's role in society.This book serves as a valuable resource for both undergraduate and postgraduate students in the study of AI applications in society. The book may be used for researchers and communities to identify the different challenges associated with key technologies for building new applications for improving quality of lives in smart cities.
Machine Learning
Machine Learning: Concepts, Techniques and Applications starts at basic conceptual level of explaining machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. The book then goes on to describe important machine learning algorithms along with appropriate use cases. This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them. A comprehensive account of various aspects of ethical machine learning has been discussed. An outline of deep learning models is also included. The use cases, self-assessments, exercises, activities, numerical problems, and projects associated with each chapter aims to concretize the understanding. Features Concepts of Machine learning from basics to algorithms to implementation Comparison of Different Machine Learning Algorithms - When to use them & Why - for Application developers and Researchers Machine Learning from an Application Perspective - General & Machine learning for Healthcare, Education, Business, Engineering Applications Ethics of machine learning including Bias, Fairness, Trust, Responsibility Basics of Deep learning, important deep learning models and applications Plenty of objective questions, Use Cases, Activity and Project based Learning Exercises The book aims to make the thinking of applications and problems in terms of machine learning possible for graduate students, researchers and professionals so that they can formulate the problems, prepare data, decide features, select appropriate machine learning algorithms and do appropriate performance evaluation.
Embedded Software System Testing
This book introduces embedded software engineering and management methods, proposing the relevant testing theory and techniques that promise the final realization of automated testing of embedded systems.The quality and reliability of embedded systems have become a great concern, faced with the rising demands for the complexity and scale of system hardware and software. The authors propose and expound on the testing theory and techniques of embedded software systems and relevant environment construction technologies, providing effective solutions for the automated testing of embedded systems. Through analyzing typical testing examples of the complex embedded software systems, the authors verify the effectiveness of the theories, technologies and methods proposed in the book.In combining the fundamental theory and technology and practical solutions, this book will appeal to researchers and students studying computer science, software engineering, and embedded systems, as well as professionals and practitioners engaged in the development, verification, and maintenance of embedded systems in the military and civilian fields.
The Smart Life Revolution
This book serves as a valuable resource for both undergraduate and postgraduate students in the study of AI applications in society. The book may be used for researchers and communities to identify the different challenges associated with key technologies for building new applications in improving quality of lives in smart cities.
The Art of Systems Architecting
This new edition provides structured heuristics to improve the least structured, most art-like elements of systems design. It offers unique techniques to bridge the difference between scientific engineering and qualitative design along with comprehensive methods for combining architectural design with digital engineering.
Architectural Design Based on the Influence of Indoor and Outdoor Environments
The Art of Cartooning Anything
The Art of Cartooning Anything by Himanshu Mire is a dynamic guide that introduces readers to the exciting world of cartooning. Drawing from his unique expertise, Himanshu explores the creative process behind cartoon creation, offering valuable insights for artists at any level. The book covers a wide array of techniques, including 3D animation, 2D illustration, and character development, while also delving into the art of storytelling. Additionally, it provides practical advice on how to turn your passion for cartooning into a profitable career, with proven strategies for earning income. Whether you're a beginner or an experienced artist, this book is packed with inspiration and actionable tips to help you unlock your creative potential and confidently master the art of cartooning.
Visionaries, Rebels and Machines
The electrifying story behind technology's greatest breakthroughs.From the first sparks of electrification to the dawn of artificial intelligence, Visionaries, Rebels and Machines is a rip-roaring adventure through the history of technology.It reveals how curiosity, ingenuity, bold breakthroughs and pure chance have driven progress, leading to the artificial intelligence, automation and cloud computing that's reshaping our world today. It's not just about how we got here, but also where we're heading. Understanding this evolution helps us make informed decisions, seize opportunities and stay ahead in a rapidly shifting landscape.Discover the domino effect of innovation - those unexpected connections and coincidences that have triggered ideas, innovation, experimentation and technological revolution. And, along the way, meet an eccentric cast of fascinating characters that include a video-rental entrepreneur, a bookseller-turned-tech titan, scientists electrifying frogs and a teenage cybercriminal.With wit, insight and a touch of irreverence, industry expert Jamie Dobson tells a gripping tale of risk-takers and revolutionaries, taking you on a whirlwind ride through tech's surprising history that's bigger, bolder and more astonishing than you ever imagined.
Verified Software. Theories, Tools and Experiments
This book constitutes the refereed proceedings of the 16th International Conference on Verified Software, VSTTE 2024, held in Prague, Czech Republic, during October 14-15, 2024. The 6 full papers, as well as one invited paper, were carefully reviewed and selected for inclusion in the book. The conference received 6 submissions this year. The papers deal with the interaction of theory development, tool evolution and experimental validation in science and technology of software verification.
Tools and Algorithms for the Construction and Analysis of Systems
Data Mining
-The book covers a wide range of topics related to data mining, including deep learning, decision tree induction, association rule mining, analytical statistics techniques, clustering, and more.-The book provides numerous case studies and examples that illustrate how data mining techniques can be applied in real-world settings, such as in banking, education, software engineering, and weather forecasting.-The book emphasizes the importance of machine learning in data mining and provides a detailed discussion of various machine learning techniques, such as regression and classification.-The book uses Python programming language and MapReduce algorithms to illustrate various data mining techniques, making it accessible to readers with programming experience.
Fundamentals of Database Design
-The book covers fundamental concepts such as data, information, metadata, and database. It explains the differences between these terms and how they are interconnected.-The book explores the characteristics of a database system and its benefits, such as data independence, data security, and efficient data access.-The book covers the entity-relationship data model, which is a widely used modelling technique for designing relational databases. It explains the concepts of entities, attributes, and relationships.-The book describes the importance of maintaining data integrity in a database system and explains how to enforce integrity rules and constraints.-The book covers ER modelling, explains how to create an ER diagram and explores the concept of functional dependencies and how they are used in database design.-The book covers SQL's data manipulation language, which includes statements used for inserting, updating, and deleting data in a database.-This book is intended for computer science majors and the study matter lays special emphasis on designs issues, relational calculus, mathematical models and relational algebra.
Augmented Reality
-Presents various modern and practical applications of augmented reality technology and explores the use of augmented reality in the education sector and its potential to enhance the learning experience.-Discusses the use of digital holographic microscopy for cytopathology, which allows for high-resolution imaging of biological samples and explores the latest advances in single and multiwavelength digital holography and holographic microscopy.-Examines the use of augmented reality in technical and vocational education and training and describes the use of intelligent virtual and augmented reality for managing natural disasters.-Presents the latest advances in spatially faithful 3D telepresence technology and discusses the use of augmented reality in different building information modeling (BIM) workflows.-It explores the use of design thinking for computer-aided co-design in architecture and discusses the potential of augmented reality as an emerging technology for promoting products and services.-This book is for game developers interested in adding AR capabilities to their games and apps. The book assumes beginner-level knowledge of Unity development and C# programming, familiarity with 3D graphics, and experience in using existing AR applications.
Brain-Computer Interface
-It explores the idea that language serves as a model for how the human mind works, and how it can be used to develop brain-computer interfaces (BCIs) that facilitate communication between the brain and external devices.-It provides an overview of methods used to handle artifacts in electroencephalography (EEG) signals, and discusses the use of a fuzzy inference system to identify pain in EEG signals.-It explores the use of unsupervised machine learning algorithms to analyze multivariate real-time series data in BCIs, with the potential to improve the accuracy and efficiency of these systems.-It discusses the potential therapeutic effect of infra-low-frequency neurofeedback training on children and adolescents with attention deficit hyperactivity disorder (ADHD) and provides an overview of research exploring the relationship between entropy and the emotional brain.-This book discusses the use of wavelet features and various machine learning methods to evaluate steady-state visually evoked potentials-based BCIs, with the potential to improve the accuracy and efficiency of these systems.-It explores the use of a brain-computer interface drone, which can be controlled by the user's thoughts and may have potential applications in areas such as search and rescue, surveillance, and agriculture.-This book is an excellent reference for scientists, researchers, neurologists, psychiatrists, and other medical professionals, engineers, technologists and the general public may be interested in learning about the latest research findings, as well as the potential benefits and risks of BCI technology.
Building Information Modeling
-Provides a comprehensive overview of the principles and practices of BIM, a digital modeling process used in the Architecture, Engineering, Construction, and Operations (AECO) industry. Begins with an introduction to the concept of BIM and its evolution over the years.-Covers the basics of digital information and its importance in the AECO industry. It also discusses the process of digitization and its role in improving efficiency and accuracy in the industry.-Provides the different types of representation used in the AECO industry, including symbolic and analogue representations. It also covers the specific representation techniques used in BIM.-Focuses on data and information management in BIM and explores the basics of data and information and their importance in decision-making processes.-Covers the various decision-making processes in the AECO industry and the role of information in these processes. It also covers process and information diagrams used in BIM to improve project management.-It is an essential guide for professionals and students in the AECO and it is a valuable resource for anyone looking to improve efficiency and accuracy in their projects
Tools and Algorithms for the Construction and Analysis of Systems
Open Source and Libraries
Open source library software in computer science provides an easier means for programmers to develop dynamic interfaces by storing readily accessible and frequently used routines and resources, such as classes, configuration data, documentation, help data, message templates, pre-written code and subroutines, type specifications, and values.
Ethics of Artificial Intelligence In Education
Introduction to AI in Education: Provide a comprehensive overview of how artificial intelligence (AI) is being integrated into educational settings, including applications such as adaptive learning systems, intelligent tutoring, automated grading, and administrative tools. Discuss the potential benefits and transformative impact of AI on teaching and learning.Ethical Principles and Frameworks: Explore the fundamental ethical principles and frameworks relevant to AI in education, including fairness, transparency, accountability, privacy, and bias. Discuss how these principles apply to the development and deployment of AI technologies in educational contexts.Bias and Equity: Address the challenges of bias and equity in AI systems, including how biases in algorithms and data can impact educational outcomes. Provide insights into strategies for mitigating bias, promoting inclusivity, and ensuring equitable access to AI-powered educational tools and resources.Ethical Governance and Policy Recommendations: Discuss the role of governance and policy in ensuring ethical AI use in education. Explore best practices for developing ethical guidelines, establishing oversight mechanisms, and fostering collaboration among educators, technologists, policymakers, and stakeholders to address ethical concerns and promote responsible AI use.
Computational Methods in Wind Engineering
In wind engineering, in parallel to all other engineering disciplines, the impact of computational methods is rapidly increasing. As far as computational aspects are concerned, wind engineering embodies a series of specific challenges, including the availability of suitable validation data, the definition of boundaries and boundary conditions, scale disparities, and fluid-structure interaction. The present Special Issue shows recent advances in the development and application of computational methods in wind engineering.
Fiber Optic Sensors and Applications
-It constitutes the most complete, comprehensive, and up-to-date reference on the development of optical fiber sensors.-The book covers a wide range of topics related to fiber optic sensors and their applications, providing insights into the latest technologies and trends in the field.-Describes the emerging technology of multi-core fiber and its applications in optical communications and explores the exploration of tapered fiber devices and their use in various applications.-Explores the latest techniques used in optical fiber communication to enhance the system's performance, including coded modulation and impairment compensation techniques and the use of orbital angular momentum (OAM) modes in optical fibers for next-generation space division multiplexing (SDM) systems.-Provides detailed examination of optical fiber tweezers and their use in assembling living photonic probes and use of fiber optics in bio-sensing applications, such as biosensors and medical imaging.-It covers the photonics and artificial intelligence (AI) technologies and their potential applications and the laser opto-electronic oscillator and its use in the modulation of laser emission.-Students as well as professionals who work with optical fiber sensors will find this volume to be an indispensable resource and reference.
Intelligent Unmanned Robotics
-The book provides a comprehensive overview of the latest developments in the field of unmanned robotics and their applications and explores several topics related to the field of unmanned robotics.-It discusses the development of robotic systems that can navigate and explore narrow, confined spaces such as pipes to assist in search and rescue operations and focuses on the development of robotic systems that can perform search operations in hazardous environments.-It explores the use of quadrotor unmanned aerial vehicles (UAVs) for various applications, such as surveillance, inspection, and monitoring.-It describes the development of a robotic system that can continuously map and explore underground sites, such as mines or tunnels, without human intervention.-It focuses on the development of advanced nonlinear control systems for UAVs, which can improve their performance and enable them to perform complex tasks and discusses various applications of UAVs.-It will be useful for researchers, engineers, and students working in this field
Digital Accessibility
-This book provides a practical guide to implementing digital accessibility within an enterprise, covering everything from creating a culture of accessibility to hiring staff and developing procurement policies that prioritize accessibility.-Provides a comprehensive overview of digital accessibility, its importance, and its impact on businesses and also focuses on the role of a committee or team responsible for ensuring digital accessibility within an enterprise.-Describes how to create a culture of digital accessibility within an enterprise, including how to raise awareness among employees and foster a commitment to accessibility throughout the organization.-Focuses on how to develop procurement policies that prioritize accessibility when purchasing technology, software, or services. It may also discuss how to create an accessibility policy that outlines an enterprise's commitment to accessibility.
Machine Learning and Data Analytics for Cyber Security
The aim of this reprint is to provide an overview of the current challenges within the cyber security community today, as recognized by our contributors. This reprint provides 16 papers from the Topical Collection on "Machine Learning and Data Analytics for Cyber Security" that cover topics of large language models for cybersecurity claim classification, adversarial machine learning attacks against intrusion detection systems, the detection of PLC process control anomalies, identifying session-replay bots compared to human users, and mitigating against side-channel attacks.
Fractional Order Complex Systems
Fractional-order systems extend classical integer-order models, providing a more accurate description of real-world physical phenomena. In image processing, critical techniques like noise suppression and image fusion in medical imaging are essential for clinical diagnosis and treatment. The increasing diversity of image acquisition models has further emphasized the importance of these techniques. Recent advancements have positioned fractional operators as a key component in image processing, serving as powerful tools for noise reduction and feature enhancement. Additionally, the development of new fractional operating tools has significantly enhanced the analysis and design of nonlinear control systems. Singular systems, characterized by singular differential equations, exhibit unique properties distinct from classical systems. Methodologies for fractional-order control systems, inspired by integer-order approaches, are gaining traction within the control community due to their enhanced capabilities. This Special Issue highlights the latest developments in fractional calculus and its transformative impact across multiple disciplines, setting the stage for future innovations in applied mathematics and engineering.
