Computing

Nonlocal Quantum Computing Theory offers a fresh perspective on quantum computing, moving beyond the traditional qubit-based approach to a physics-driven interpretation of computation. This book highlights the limitations and logical flaws in mainstream quantum computing theories and introduces a rule-based, nonlocal quantum computing framework. Covering general-purpose quantum computing, biological applications, and atomic chains in full superposition and entanglement, this book presents a bold new theoretical foundation for the field.Key Features: Provides a comprehensive introduction to quantum computing from a nonlocal perspective. Critically examines the limitations of the standard qubit-based approach. Explores applications in biological systems and atomic chain computations. Introduces rule-based nonlocal quantum computing theory as an alternative framework. Includes a historical overview and discussion of quantum parallelism. This book is an essential resource for graduate stud

Visual Sensing and Ubiquitous Computing explores applied machine learning and deep learning in the field of sensing, vision and sensor-based applications. It includes a series of methodologies, exploration of new applications, presentations on relevant datasets, challenging applications, guidelines, ideas and future scopes.Edited by leading experts in these arenas, the book will be of great interest to academic researchers, graduate students, and industry professionals in the fields of machine learning, deep learning, artificial intelligence (AI), sensing, computer vision, and sensors.

Quantum computing is not merely an incremental advancement in computing technology; it represents a fundamentally new paradigm, distinct from classical computing. Rooted in quantum mechanics, it introduces an entirely novel information theory. As a result, translating existing models, solution designs, and approaches to quantum computing is a complex, non-trivial task. This comprehensive book demystifies quantum concepts through accessible explanations, practical case studies, and real-world examples from industries such as aerospace, agriculture, automotive, chemicals, energy, finance, government, healthcare, manufacturing, supply chain, and telecommunications.Blending a business perspective with a scientific rigor, this book is divided into two parts. The first part covers foundational technical concepts, including quantum mechanics principles that enable quantum technologies, key quantum algorithms, mathematical frameworks, quantum computing technologies, post-quantum cryptography,

This book presents the reader with comprehensive insight into various kinds of mathematical modeling and numerical computation for problems arising in several branches of engineering, such as mechanical engineering, computer science engineering, electrical engineering, electronics and communication engineering, and civil engineering.The book: ‧ Discusses topics related to clean and green energy production and storage ‧ Bridges the gap between core theory and costly industrial experiments ‧ Covers advanced biomechanics and nanodrug delivery topics ‧ Explores diversified applications of mathematical techniques to solve practical engineering problems The text in this book emphasizes mathematical treatment of soft computing, image and signal processing, fluid flows in various geometries, biomechanics, biological modeling, a mathematical description of the solar cell, analytical and numerical treatment of problems in fracture mechanics, and antenna design modeling. It also discusses the num