Rajanikanth Aluvalu - Böcker

This book covers the fundamental concepts of private AI and its applications. It also covers fusion of Private AI with cutting-edge technologies like cloud computing, federated learning and computer vision.Security Models and Applications for Sustainable Development Using Private AI reviews various encryption algorithms used for providing security in private AI. It discusses the role of training machine learning and Deep learning technologies in private AI. The book provides case studies of using private AI in various application areas such as purchasing, education, entertainment, medical diagnosis, predictive care, conversational personal assistants, wellness apps, early disease detection, and recommendation systems. The authors provide additional knowledge to handling the customer’s data securely and efficiently. It also provides multi-model dataset storage approaches along with the traditional approaches like anonymization of data and differential privacy mechanisms.The target audience includes undergraduate and postgraduate students in Computer Science, Information technology, Electronics and Communication Engineering and related disciplines. This book is also a one stop reference point for professionals, security researchers, scholars, various government agencies and security practitioners, and experts working in the cybersecurity Industry specifically in the R & D division.

EVOLUTION and APPLICATIONS of QUANTUM COMPUTING The book is about the Quantum Model replacing traditional computing’s classical model and gives a state-of-the-art technical overview of the current efforts to develop quantum computing and applications for Industry 4.0. A holistic approach to the revolutionary world of quantum computing is presented in this book, which reveals valuable insights into this rapidly emerging technology. The book reflects the dependence of quantum computing on the physical phenomenon of superposition, entanglement, teleportation, and interference to simplify difficult mathematical problems which would have otherwise taken years to derive a definite solution for. An amalgamation of the information provided in the multiple chapters will elucidate the revolutionary and riveting research being carried out in the brand-new domain encompassing quantum computation, quantum information and quantum mechanics. Each chapter gives a concise introduction to the topic. The book comprises 18 chapters and describes the pioneering work on the interaction between artificial intelligence, machine learning, and quantum computing along with their applications and potential role in the world of big data. Subjects include: Combinational circuits called the quantum multiplexer with secured quantum gate (CSWAP);Detecting malicious emails and URLs by using quantum text mining algorithms to distinguish between phishing and benign sites;Quantum data traffic analysis for intrusion detection systems;Applications of quantum computation in banking, netnomy and vehicular ad-hoc networks, virtual reality in the education of autistic children, identifying bacterial diseases and accelerating drug discovery;The critical domain of traditional classical cryptography and quantum cryptography.Audience The book will be very useful for researchers in computer science, artificial intelligence and quantum physics as well as students who want to understand the history of quantum computing along with its applications and have a technical state-of-the-art overview.

This new volume covers a diverse range of advances in intelligent systems that involve applications of AI and digital automation, such as machine learning, deep learning, sectional convolutional neural network models, and much more. It explores advances in predictive analysis, such as using AI for leukemia detection and other diseases, strategic decision-making models using data analytics, video object detection using convolution, CNN-based mask detection, medical image watermarking using RDWT-SVD-DCT, and more.

Cyber-physical systems (CPS) are intelligent robotics systems that cleverly merge computing algorithms with physical operations, enabling state-of-the-art response systems by integrating the virtual and physical dimensions and enhancing efficiency, automation, and interconnectedness in many sectors. With examples of real-world implementation, this new book explores many facets of CPS in robotics and engineering and presents a host of cutting-edge technologies and approaches in industrial applications as well as in other sectors, such transportation, gaming, medicine and healthcare, civil engineering and infrastructure, communications and internet security, library science, election integrity, music, etc., providing inspiration for new ideas for CPS applications.

This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector.

This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector.

This book constitutes the refereed proceedings of the Second EAI International Conference on Pervasive Knowledge and Collective Intelligence on Web and Social Media, PerSOM 2023, which took place in Hyderabad, India, during November 24–25, 2023.The 28 full papers included in the proceedings were carefully reviewed and selected from 70 submissions. They focus on information and Web mining, social network analysis, semantic network analysis, trust, reputation, social control and privacy, information reliability, and Web and content authenticity.

This book focuses on the latest developments in the fields of visual AI, image processing and computer vision. It shows research in basic techniques like image pre-processing, feature extraction, and enhancement, along with applications in biometrics, healthcare, neuroscience and forensics. The book highlights algorithms, processes, novel architectures and results underlying machine intelligence with detailed execution flow of models.

This book provides a comprehensive review of the latest research in the area of explainable artificial intelligence (XAI) in health informatics.