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Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration! ![]() Computer Engineering Machine Learning and Neural Networks: A Computer Engineering Perspective English | 2026 | ISBN: 3032209781 | 319 Pages | PDF EPUB (True) | 71 MB This is the first textbook focusing on practicality of machine learning (ML) and deep neural networks (DNN), by introducing methods that enable engineering applications of ML and DNN models. The authors describe many methodologies that are widely used in designing, training, and deploying of these models and discuss their applicability under various contexts. Coverage begins with the basic knowledge of machine learning and deep neural networks and their applications in solving practical engineering problems. It then proceeds through a series of computer engineering methods commonly used in developing machine learning and deep neural network models. The book also explains how to improve the training and inference performance in terms of model accuracy, size, runtime, etc. by considering various requirements and availability of data in the applications. Techniques that are widely adopted in both industry and academia are discussed. Tutorials and projects designed to practice the introduced techniques are provided using popular development frameworks of machine learning. ![]() Computational Mineral Physics: A Practical Guide for Earth Scientists English | 2026 | ISBN: 1108416772 | 332 Pages | PDF | 22 MB Computational mineralogy is fast becoming the most effective and quantitatively accurate method for successfully determining structures, properties and processes at the extreme pressure and temperature conditions that exist within the Earth's deep interior. It is now possible to simulate complex mineral phases using a variety of theoretical computational techniques that probe the microscopic nature of matter at both the atomic and sub-atomic levels. This introductory guide is for geoscientists as well as researchers performing measurements and experiments in a lab, those seeking to identify minerals remotely or in the field, and those seeking specific numerical values of particular physical properties. Written in a user- and property-oriented way, and illustrated with calculation examples for different mineral properties, it explains how property values are produced, how to tell if they are meaningful or not, and how they can be used alongside experimental results to unlock the secrets of the Earth. ![]() Computational Mechanics and Virtual Engineering English | 2026 | ISBN: 3032207606 | 241 Pages | PDF EPUB (True) | 73 MB By addressing both fundamental principles and applied research, the volume serves as a valuable guide for academics, engineers, and industry professionals engaged in simulation, design, and performance assessment of complex mechanical systems. ![]() Computational Linguistics, Information, Reasoning, and AI 2024 English | 2026 | ISBN: 3032211425 | 174 Pages | PDF EPUB (True) | 12 MB This book covers theoretical work, applications, and techniques for computational models of information, language, and reasoning. Computational and technological developments that incorporate natural language and reasoning methods are proliferating. Adequate coverage of related works and advanced applications encounter difficult problems related to the phenomena of partiality, underspecification, perspectives of agents, and context dependency. These phenomena are signature features of information in nature, natural languages, and reasoning. ![]() Computational Approaches To Policy Challenges: Novel Methods And Applications English | 2026 | ISBN: 9819826683 | 232 Pages | PDF EPUB (True) | 37 MB This book addresses a critical gap between the nature of contemporary policy challenges and the way most academic research is conducted. Policymakers and practitioners routinely face complex, interconnected problems ― ranging from climate resilience and public health crises to social equity and organizational management ― that demand interdisciplinary perspectives and computationally informed approaches. Yet, public policy scholarship often remains fragmented, narrowly disciplinary, and slow to integrate the rapidly advancing tools of data science. This book provides a timely intervention by demonstrating how computational approaches can be meaningfully applied to policy analysis, bridging a persistent divide between aspiration and practice in the field. Through exploring cutting-edge interdisciplinary research and examples of how computational tools can address real-world problems, this book provides both inspiration and practical guidance for advancing public policy scholarship and practice. ![]() Computational Analysis of Perovskite Solar Cells: Predicting the Future Energy English | 2026 | ISBN: 9819565200 | 311 Pages | PDF EPUB (True) | 51 MB This book provides the detail analysis of various computations techniques such as Density Functional Theory (DFT), Solar Cell Capacitance Simulator (SCAPS), and COMSOL Multiphysics; to investigate the various properties and physical parameters of perovskite solar cells such as electrical and optoelectronic properties, band gap matching strategy, doping concentrations, defects density, grading effect, multivalent defects, scripting, multi-terminal/multi-junction tandem connection. The computational analysis technique is a low cost method to investigate doping concentration, device structure, operating conditions and material compositions of perovskite solar cells (PSCs). One of the prime areas of focus in this book is the computational study of the electronic structure and optoelectronic properties of perovskite materials. This scope of this book attracts researchers, scientists and industry practitioners who are interested in new materials and computational methods to increase the efficiency of photovoltaics and solar cell devices. ![]() Computation of Nonlinear Structures: Extremely Large Elements for Frames, Plates and Shells English | 2016 | ISBN: 111899695X | 1366 Pages | EPUB (True) | 25 MB Comprehensively introduces linear and nonlinear structural analysis through mesh generation, solid mechanics and a new numerical methodology called c-type finite element method ![]() Comprehensive Analysis and Computing of Real-World Medical Images English | 2026 | ISBN: 303216270X | 271 Pages | PDF (True) | 34 MB These tracks aim to advance real-world medical image computing by bridging the gap between AI model development and practical clinical applications. ![]() Composite Artificial Intelligence: Fundamentals, Challenges, and Applications English | 2026 | ISBN: 1394393032 | 437 Pages | EPUB (True) | 16 MB In the rapidly evolving landscape of artificial intelligence, the demand for more adaptive, intelligent, and context-aware systems has led to the emergence of composite artificial intelligence: a paradigm that integrates multiple AI techniques to solve complex real-world problems with higher efficiency and intelligence. This book is a groundbreaking exploration of the next evolution in AI, where diverse methodologies like machine learning, symbolic reasoning, and cognitive computing converge to solve complex, real-world problems with unprecedented intelligence and adaptability. Unlike traditional AI approaches that rely on singular techniques, composite AI harnesses the strengths of multiple paradigms, enabling systems that are more robust, interpretable, and capable of human-like decision-making. This book provides a comprehensive roadmap for understanding and implementing these advanced systems, from foundational theories to cutting-edge applications across industries such as healthcare, finance, and smart manufacturing. It delves into critical challenges, including bias mitigation, integration hurdles, and ethical governance, while showcasing real-world case studies that demonstrate the transformative potential of composite AI. With its balanced blend of theory, technical depth, and actionable insights, this book is a definitive resource for unlocking the full potential of AI in an increasingly complex world. ![]() Complex Fuzzy Rough Sets and Their Applications English | 2026 | ISBN: 874380781X | 203 Pages | PDF (True) | 7 MB This book explains the foundational principles of fuzzy algebra, including fuzzy sets, fuzzy operations, and fuzzy relations. It shows how fuzzy algebra can be applied in artificial intelligence, particularly in areas such as decision-making, pattern recognition, and machine learning, where uncertainty and imprecision are common. It demonstrates the use of fuzzy algebra in engineering disciplines, such as control systems, cybersecurity, signal processing, and robotics, where fuzzy logic can be used to model and solve complex and real-world problems. This makes the book valuable not just for process engineers, but also for researchers in multiple domains. |