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Free Download Computational Social Science of Social Cohesion and Polarization
English | 2026 | ISBN: 3032013720 | 286 Pages | PDF EPUB (True) | 94 MB
This is an open access book. What holds societies together-and what drives them apart? As worry over political polarization and social cohesion intensifies across the globe, this volume explores timely and vital questions of social cohesion and polarization through the lens of Computational Social Science. It brings together leading and junior scholars who harness the power of computational methods to analyze, model, and understand discourse, social relationships, and beliefs. Drawing on tools such as agent-based modeling, social network analysis, and natural language processing, the book offers a range of innovative approaches to study how belief systems form, attitudes polarize, and communities fragment.

Free Download Computational Intelligent Systems: Applications of AI and Machine Learning
English | 2026 | ISBN: 9819522110 | 411 Pages | PDF EPUB (True) | 76 MB
This book contains select chapters on a broad spectrum of topics on artificial intelligence, machine learning, and computational methodologies. Presented at the 3rd International Conference on Computational Intelligent Systems (ICCIS2024), held at Kohat University of Science and Technology (KUST), Kohat, Pakistan, from 2 to 3 December 2024, it contains 27 chapters. Each chapter offers insightful perspectives on tackling real-world challenges through intelligent algorithms and systems, from optimizing traffic management in smart cities and enhancing healthcare diagnostics with machine learning to advancing information security and leveraging quantum deep learning for innovative applications.

Free Download Computational Infodemiology: Belief System Mapping and Social Stress
English | 2026 | ISBN: 3032101298 | 75 Pages | PDF EPUB (True) | 12 MB
Computational Infodemiology is a novel discipline that maps the indicators that underpin digital discourse. Being able to fundamentally map belief systems within a scale free network and provide a framework by which the evolution of belief can be mapped, outlines the impact uncertainty has on an echo chamber and models the spread of misinformation. This book provides the framework and empirical data to outline these scenarios.

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Free Download Computational Homological Algebra (Mathematical Engineering)
English | 2026 | ISBN: 3032086337 | 514 Pages | PDF EPUB (True) | 31 MB
This book is an attempt to reduce the barrier to entry for the key tools of homological algebra and develops the basic notions of homological algebra by emphasizing concrete, elementary, and computational examples in finite dimensional vector spaces. Linear algebra is the study of linear maps between vector spaces.

Free Download Computational Bioacoustic Artificial Intelligence
English | 2026 | ISBN: 3032060877 | 245 Pages | PDF EPUB (True) | 55 MB
This book deep dives into the theoretical background of bioacoustics, signal processing techniques, feature extraction and pattern recognition algorithms, and technically advanced case studies in bioacoustics AI. By exploring the intricate characteristics of bioacoustic signals, this book offers a comprehensive understanding of the underlying principles and practical implementations. The fundamental chapters provide readers the basics by discussing the statistical and deterministic models of bioacoustic signals, including parametric and non-parametric approaches, time-frequency representations, and stochastic processes. Furthermore, this book delves into the complexities of bioacoustic signal generation and propagation, considering physiological factors, acoustic media, and signal degradation. The feature engineering methodology upon the complex and noisy sound data is understood and explored using advanced signal processing techniques, such as wavelet transforms, matching pursuit, higher-order statistics, and fractal analysis. The subsequent chapters focus on feature engineering and pattern recognition. The feature extraction methods under subject of discussion include time-domain, frequency-domain, and time-frequency features, as well as statistical and structural features. The advanced techniques related to deep learning such as convolutional neural networks and recurrent neural networks are also explored. Traditional classification techniques, including statistical pattern recognition and syntactic pattern recognition, are covered, followed by a deep dive into the application of deep learning for bioacoustic classification. The later chapters detail on the futuristic topics such as bioacoustic localization, source separation, change detection, and monitoring. The bioacoustic data collected with other sensor modalities are significant in the development of bioacoustic indices. This book leads the assessment techniques to determine the quality of ecosystem and its performance. Furthermore, the application of bioacoustic AI in man-machine interaction is examined.

Free Download Computational Aspects of Social Networks
English | 2026 | ISBN: 3032148324 | 418 Pages | PDF EPUB (True) | 34 MB
This book offers a comprehensive exploration of computational social networks, focusing on the algorithmic and optimization aspects crucial for applications across diverse domains. As social data proliferates through platforms like Facebook, LinkedIn, and Skype, the need for efficient techniques to extract meaningful insights becomes paramount. This volume provides readers with a robust foundation in computational methods tailored for social networks. Key concepts include combinatorial optimization, machine learning applications, and advanced computational techniques. The chapters are meticulously organized to guide readers through fundamental knowledge, optimization strategies, and cutting-edge topics in the field. By integrating lecture notes and selected materials from leading IEEE/ACM publications, this book serves as an essential resource for understanding the complexities of social data analysis. Designed for graduate and senior undergraduate students in computer science and applied mathematics, this book assumes a foundational knowledge of programming and algorithm design. It is an invaluable tool for those seeking to harness the power of computational social networks in fields such as public safety, viral marketing, and misinformation clarification.

Computational Social Science of Social Cohesion and Polarization

Computational Intelligent Systems Applications of AI and Machine Learning

Computational Infodemiology

Computational Homological Algebra (Mathematical Engineering)

Computational Fluid Dynamics Modelling of PEM Fuel Cells From Theory to Practice

Computational Fluid Dynamics Numerical Methods and Applications

Computational Finance MATLAB® Oriented Modeling

Computational Bioinorganics From Description to Prediction

Computational Bioacoustic Artificial Intelligence

Computational Aspects of Social Networks