Ramesh Chandra Poonia – författare

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and practitioners will find it very useful. Chapters go from basic methodology to advanced methods, including detailed descriptions of proposed approaches and comprehensive critical discussions on experimental results and how they are applied to Biomedical Engineering, Electronic Health Records, and medical image processing.

Examines a wide range of Deep Learning applications for Biomedical Engineering and Health Informatics, including Deep Learning for drug discovery, clinical decision support systems, disease diagnosis, prediction and monitoring Discusses Deep Learning applied to Electronic Health Records (EHR), including health data structures and management, deep patient similarity learning, natural language processing, and how to improve clinical decision-making Provides detailed coverage of Deep Learning for medical image processing, including optimizing medical big data, brain image analysis, brain tumor segmentation in MRI imaging, and the future of biomedical image analysis

Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS).

The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture.

Offers perspectives on the design, development and commissioning of intelligent applications Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of COVID-19 Puts forth insights on how future illnesses can be supported using intelligent corona virus monitoring techniques

The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm.

Introduces new deep learning models developed to address sustainable solutions for issues related to agriculture Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable agriculture Illustrates through case studies how deep learning has been used to address a variety of agricultural diseases that are currently on the cutting edge Delivers an accessible explanation of artificial intelligence algorithms, making it easier for the reader to implement or use them in their own agricultural domain

Smart Healthcare 2.0: Integrating Digital Twins with AI-Driven Predictive Analytics offers a groundbreaking exploration of how digital twin technology, combined with real-time sensing and predictive analytics, is transforming healthcare delivery. As the global healthcare landscape shifts toward proactive, personalized care, this book addresses the urgent need for comprehensive resources that unify artificial intelligence, Internet of Things (IoT), and biomedical engineering within the digital twin framework. It provides an essential guide for researchers, engineers, and clinicians aiming to harness virtual patient models and data-driven insights to improve health outcomes and system efficiency in the era of ubiquitous healthcare.This volume covers a wide spectrum of topics, starting with foundational concepts of digital twins in precision health and advancing through smart sensing technologies, scalable system architectures, and AI-powered predictive analytics. Readers will explore detailed discussions on edge-cloud computing, secure communication protocols including blockchain, and simulation platforms that enable virtual patient modeling. The book also addresses critical themes such as chronic disease management, emergency response optimization, ethical AI deployment, interoperability standards, and workforce readiness. Real-world case studies and future-focused chapters on cognitive twins and quantum simulation provide a rich, multidisciplinary perspective.Bridges AI, IoT, and biomedical engineering for comprehensive digital twin healthcare system design and deploymentOffers practical frameworks for secure, scalable, and real-time patient monitoring and predictive health interventionsIntegrates ethical, legal, and interoperability considerations to ensure trustworthy and clinically relevant healthcare solutionsProvides case studies and simulation tools to support research, education, and innovation in smart healthcare technologies

Smart cyber‑physical systems (SCPS) are revolutionizing the interaction between the physical and digital realms, driving innovation across diverse fields. This book provides an extensive overview of cutting‑edge SCPS technologies, highlighting their applications, challenges, and transformative potential. Designed for researchers, professionals, and students, it offers foundational insights and advanced applications in urban planning, healthcare, transportation, finance, and cybersecurity. It also bridges the gap between theory and practice through real‑world case studies and in‑depth analysis, showcasing how SCPS address critical global challenges. This book:Provides a comprehensive introduction to SCPS, their components, and their applications in various domains and explores their role in enabling sustainable smart cities and urban planningProvides advanced SCPS‑based solutions for optimizing supply chain logistics and route planning and real‑world applications of SCPS in healthcare, including wearable technology and remote patient monitoring, and financial modeling, comparing investment indices using advanced techniquesDiscusses the integration of artificial intelligence and machine learning in autonomous vehicle systems and transportationAnalyzes cybersecurity challenges in cryptocurrency and blockchain ecosystemsFocuses on innovations in energy management, including smart grids and sustainable practices powered by SCPS, and explores adaptive human–machine interaction frameworks for enhanced decision‑makingThis book serves as a vital resource for understanding the transformative power of SCPS and inspires further research and development in this dynamic and rapidly evolving field.

This book serves as a comprehensive guide, covering the fundamentals of cloud computing, advanced concepts, and practical applications.Discusses cyber-physical systems, cloud integration for environmental management, and cloud security intelligence systems for sustainable operationsPresents case studies based on computational intelligence-based optimization for sustainable operations and cloud integrationEmphasizes how cloud computing revolutionizes traditional processes, enabling direct input of assembly details into a computation model, streamlining development cycles, and reducing costsBridges the gap between theory and practice by offering guidelines on problem encoding and implementation strategies, empowering readers to apply their acquired knowledge to solve complex industrial problemsCovers wireless security in the cloud era, mechatronics and cloud integration, and cloud-enabled manufacturing for eco-friendly operationsThe text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer engineering, and information technology.

Amidst the global challenges of climate change, rapid urbanization, and resource depletion, there is an urgent need for intelligent and environmentally friendly infrastructure. This ambitious book explores how artificial intelligence (AI) is altering the landscape of infrastructure planning, development, and management, reigning in a new era of environmentally friendly and intelligent systems meant to propel a brighter future. This book focuses on the revolution of urban planning, renewable energy, waste management, disaster resilience, and precision agriculture through compelling concepts and practical applications using artificial intelligence. The chapters are enriched with recent case studies, which serve to demonstrate the real-world impact and implementation of Artificial Intelligence. The chapters of this book will help the readers acquire knowledge of the novel concepts regarding green structures and policy formulation, all of which are interconnected by the objective of sustainable development. The book provides an interdisciplinary perspective on the impact of artificial intelligence on the development of sustainable, resilient, and adaptive infrastructure, with contributions from academics and experts. This book offers a comprehensive overview of the AI-driven advancements that are paving the path to a sustainable future, suitable for individuals of any level of expertise, including researchers, policymakers, or technologists.Let us create a sustainable future that is governed by artificial intelligence!

This book gathers high-quality papers presented at the First International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2019), which was organized by Sri Balaji College of Engineering and Technology, Jaipur, Rajasthan, India, on March 29–30, 2019.

This book offers a collection of high-quality peer-reviewed research papers presented at the Second International Conference on Communication and Computational Technologies (ICCCT 2019), held at Rajasthan Institute of Engineering and Technology, Jaipur, Rajasthan, India, on 30–31 August 2019.

This book offers a collection of high-quality peer-reviewed research papers presented at the Second International Conference on Communication and Computational Technologies (ICCCT 2019), held at Rajasthan Institute of Engineering and Technology, Jaipur, Rajasthan, India, on 30–31 August 2019.

The book includes a selection of the best papers presented at the Third International Conference on Sustainable Computing (SUSCOM 2021), held in Jaipur, India, during 19 – 20 March 2021. intelligent cognitive and bio-inspired computing and management science.

This book gathers high-quality papers presented at the Second International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2021) held at Graphic Era University, Dehradun, India, during May 22–23, 2021.

This book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

This book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

This book includes high-quality research papers presented at International Conference on AI Systems and Sustainable Technologies (ASSET 2025), organized by Department of Computer Science and Information Technology, School of CS and IT at IIS (deemed to be University), Jaipur, India, during 28–29 March 2025.

This book discusses the outcome of the ICSCPS 2024 conference proceedings which provide a comprehensive exploration of Smart Cyber-Physical Systems (CPS), delivering deep into the intersection of the physical and digital worlds. The book is a must-read for researchers, engineers, students, and professionals seeking to understand and harness the power of CPS in today's technology-driven landscape. This conference's main topics encompass CPS's foundational principles, from mathematical modeling and control theory to real-time systems and cyber-security. It unravels the intricacies of sensors and actuators, shedding light on their design and applications in various domains. With a focus on communication and networks, readers will gain insights into the critical aspects of data exchange and connectivity in CPS, including wireless communication, IoT integration, and network security.