T�tulo: Next-Generation Electronic Textiles and Conductive Materials for Smart Wearables
Editor: Igi Global Scientific Publishing
Fecha de publicaci�n: 2025
Idioma: Ingl�s
ISBN 13: 9798337342870
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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Sinopsis

The rapid convergence of material science, electronics, and wearable technology has catalyzed the emergence of electronic textiles and conductive materials as foundational elements in the next generation of smart wearables. These innovative fabrics go beyond traditional clothing, integrating sensing, communication, and energy management capabilities to transform how we interact with the digital world. As demand grows for flexible, durable, and comfortable wearable systems that can monitor physiological signals, support remote healthcare, and enhance human-machine interaction, electronic textiles are poised to redefine both consumer applications and industrial solutions. Next-Generation Electronic Textiles and Conductive Materials for Smart Wearables brings together interdisciplinary research and innovation across smart materials, nanoengineering, textile manufacturing, and biomedical integration. It highlights the latest advances in conductive polymers, graphene-infused fabrics, flexible printed electronics, and fiber-based sensors, while addressing critical challenges such as washability, signal fidelity, and data security. Covering topics such as 3D printing, nanomaterials, and wireless communications, this book is an excellent resource for researchers, engineers, academicians, healthcare professionals, product developers, innovators, and more.

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Dr. Pranshu Saxena is an Assistant Professor at Bennett University, Greater Noida, with a Ph.D. in Computer Science and Engineering from Punjab Technical University, Jalandhar. With 11+ years of academic and research experience, his expertise includes medical image processing, automated image segmentation, texture analysis, and pattern recognition. He has published high-impact SCI and SCOPUS-indexed research papers in reputed journals and authored books in computer-assisted medical image analysis. Recognized for his contributions to histopathological image analysis and AI-driven medical diagnostics, he continues to make significant strides in research, teaching, and academic leadership.

Mandeep Singh is an accomplished academician and Assistant Professor in the School of Computer Science, Engineering, and Technology (SCSET) at Bennett University, Greater Noida, India. He holds a Master’s degree with Distinction in Information Security from Ambedkar Institute of Advanced Communication Technologies and Research (AIACTR) (now NSUT East Campus). With over nine years of teaching experience, he is currently pursuing a Ph.D. in Computer Science & Engineering from Dr. B.R. Ambedkar National Institute of Technology (NIT) Jalandhar, where he completed his coursework with Distinction (8.00 CGPA). Mr. Singh's expertise spans Computer Networks, Mobile Ad Hoc Networks (MANETs), Machine Learning, and Deep Learning. His research contributions include book chapters, international journals, and conference proceedings, alongside a notable track record of patent publications. Additionally, he actively reviews papers for international conferences and journals and has held special sessions at prestigious events. His dedication to excellence has earned him awards and recognition from the Institute of Industrial Development (IID) and MSME, Government of India for contributions to research and entrepreneurship.

Sanjay Kumar Singh is currently working as an assistant professor in university school of automation and Robotics, Guru Gobind Singh Indraprastha University, East Delhi campus, Delhi. He has more than 12 years of experience in teaching and received integrated postgraduate (B. Tech + M. Tech) degree from ABV-Indian Institute of Information Technology & Management, Gwalior and Ph. D. degree from IKG-Punjab Technical University. He has published more than 50 papers in reputed journals and international conferences. His area of research in the field of machine learning, deep learning, soft computing and intelligent systems.

Mamoon Rashid is currently working as an Assistant Professor at the School of Information Communication and Technology, Bahrain Polytechnic, Bahrain. He received his Ph.D. from the Department of Computer Engineering, Punjabi University, Punjab, India in the field of Medical Imaging Informatics. He is carrying 10+ years of teaching experience at university level as an Assistant Professor. He has published 150+ papers indexed in SCI/SCIE journals and conferences of international repute with JCR Impact Factor of 300+. His area of interest includes Data Analytics, Computational Medical Imaging- (fMRI, MRI, 3D-Amplified MRI, CT Scan Imaging) and Computer Vision.

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