Sudan Jha – författare

Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on 'daily life.' Contributors from various experts then discuss 'computer assisted anthropology,' CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining.

This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic.

Presents recent advances in IoT for biomedical engineering, covering biometrics, bioinformatics, artificial intelligence, computer vision and various network applications Discusses big data and data mining in healthcare and other IoT based biomedical data analysis Includes discussions on a variety of IoT applications and medical information systems Includes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT

Industrial Internet of Things: Technologies, Design, and Applications addresses the complete functional framework workflow in IoT technology. It explores basic and high-level concepts, thus serving as a manual for those in the industry while also helping beginners. The book incorporates the working methodology of Industrial IoT works, is based on the latest technologies, and will cover the major challenges, issues, and advances while exploring data-based intelligent and automated systems and their implications to the real world. The book discusses data acquisition, security, learning, intelligent data analysis, and case studies related to Industrial IoT-based applications.

Industrial Internet of Things: Technologies, Design, and Applications addresses the complete functional framework workflow in IoT technology. It explores basic and high-level concepts, thus serving as a manual for those in the industry while also helping beginners. The book incorporates the working methodology of Industrial IoT works, is based on the latest technologies, and will cover the major challenges, issues, and advances while exploring data-based intelligent and automated systems and their implications to the real world. The book discusses data acquisition, security, learning, intelligent data analysis, and case studies related to Industrial IoT-based applications.

Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery: Unveiling Biological Frontiers introduces revolutionary techniques that merge artificial intelligence with graph-based methods to uncover complex biological networks. Through detailed examples and case studies, the book provides researchers and practitioners the essential tools to analyze molecular interactions, identify key biomarkers, and hasten the discovery of novel therapeutics. Chapters delve into the sophisticated interplay between advanced AI techniques and graph models, specially designed to decode the intricacies of biological systems. By utilizing cutting-edge AI algorithms, readers can explore complex biological networks, forecast molecular interactions, and pinpoint new drug targets with exceptional precision.Offers an innovative approach by combining artificial intelligence with graph-based techniques to delve into complex biological networksIncludes practical examples and case studies, providing researchers and practitioners with the tools they need to analyze molecular interactions and identify crucial biomarkersEnables researchers to predict molecular interactions and identify novel drug targets with unparalleled accuracy and efficiencyUnlocks new avenues for biological discovery, facilitating precise and effective research outcomes

Soft Computing in Smart Manufacturing and Materials explains the role of soft computing in the manufacturing industries. It presents the techniques, concepts and design principles behind smart soft computing, and describes how they can be applied in the development and manufacture of smart materials. It provides perspectives for design and commissioning of intelligent applications, including in health care, agriculture, and production assembly, and reviews the latest intelligent technologies and algorithms related to the methodologies of monitoring and mitigation of sustainable engineering.Introduces soft computing techniques for the creation of sustainable solutions for smart materials and manufacturingOffers perspectives for design, development, and commissioning of intelligent applicationsReviews the latest intelligent technologies and algorithms related to monitoring and mitigation of sustainable engineeringDiscusses the implementation of soft computing in the various areas of engineering materialsLooks at future sustainable and intelligent monitoring techniques that will benefit manufacturing

This book highlights authentication and trust evaluation models in the Industrial Internet of Things. It further discusses data breaches and security issues in various Artificial Intelligence-enabled systems and uses Blockchain to resolve the challenges faced by the Industrial Internet of Things. The text showcases performance quality assessment for the Industrial Internet of Things’ applications.This book:Discusses and evaluates different quality assessment systems and authentication of smart devicesAddresses data handling, data security, confidentiality, and integrity of data in the Industrial Internet of ThingsFocuses on developing framework and standardization of quality assessment for diverse Internet of Things-enabled devicesExplains the designing, developing, and framing of smart machines, that are equipped with tools for tracking and logging data to provide advanced security featuresPresents the convergence of the Internet of Things toward Industry 4.0 through quality assessment via analyzing data security and identifying vulnerabilitiesIt is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics, and communications engineering, industrial and production engineering, computer science, and engineering.

This book highlights authentication and trust evaluation models in the Industrial Internet of Things. It further discusses data breaches and security issues in various Artificial Intelligence-enabled systems and uses Blockchain to resolve the challenges faced by the Industrial Internet of Things. The text showcases performance quality assessment for the Industrial Internet of Things’ applications.This book:Discusses and evaluates different quality assessment systems and authentication of smart devicesAddresses data handling, data security, confidentiality, and integrity of data in the Industrial Internet of ThingsFocuses on developing framework and standardization of quality assessment for diverse Internet of Things-enabled devicesExplains the designing, developing, and framing of smart machines, that are equipped with tools for tracking and logging data to provide advanced security featuresPresents the convergence of the Internet of Things toward Industry 4.0 through quality assessment via analyzing data security and identifying vulnerabilitiesIt is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics, and communications engineering, industrial and production engineering, computer science, and engineering.

Industry 4.0, marked by the integration of cyber-physical systems, automation, and smart manufacturing, has greatly enhanced the intricacy and interconnectedness of industrial operations. Industrial Internet of Things (IIoT) systems allow for smooth communication and collaboration among machines, devices, and sensors, enabling real-time monitoring, data collection, and decision-making. As a result, this increased connectivity leaves IIoT networks vulnerable to a wider array of cyber threats, underscoring the need for more advanced security protocols.Cognitive Security for Industrial IoT AI-Driven Approaches to Industry 4.0 examines cognitive security principles for IIoT environments, emphasizing artificial intelligence (AI) and machine learning (ML) in security measures. This book provides practical case studies and real-world examples while addressing the unique security challenges inherent in Industry 4.0 technologies. Key focus areas include predictive maintenance, proactive threat mitigation, behavioral analytics, emerging trends, and best practices for implementing cognitive security in industrial environments.This comprehensive resource explores cutting-edge trends and future prospects in IIoT security, including quantum-resilient technologies and decentralized security frameworks. Readers will find step-by-step guidelines and proven best practices for implementing cognitive security in industrial settings. This practical approach equips both practitioners and organizations to effectively combat evolving cyber threats, making it an invaluable resource for staying ahead in cybersecurity's rapidly changing landscape.

This book presents best-selected papers presented at the Second International Conference on Computational Technologies and Electronics (ICCTE 2025), organized by Department of Computer Science & Technology, University of North Bengal, Darjeeling, West Bengal, India, from 20–22 November 2025. The book targets current research in the areas of pattern recognition, data communication, applied electronics, artificial intelligence, and related application areas.

This book presents best-selected papers presented at the Second International Conference on Computational Technologies and Electronics (ICCTE 2025), organized by Department of Computer Science & Technology, University of North Bengal, Darjeeling, West Bengal, India, from 20–22 November 2025. The book targets current research in the areas of pattern recognition, data communication, applied electronics, artificial intelligence, and related application areas.