Nature-inspired Optimization Algorithms and Soft Computing: Methods, technology and applications for IoTs, smart cities, healthcare and industrial automation (Computing and Networks)
Idioma: inglés
Editorial: The Institution of Engineering and Technology, 2023
- Tapa dura
- Nuevo
Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
Vendedor de AbeBooks desde 25 de marzo de 2015
Condición: Nuevo
EUR 153,32
Cantidad disponible: Más de 20 disponibles
Añadir al carritoDescripción del artículo del vendedor
In English.
N° de ref. del artículo ria9781839535161_new
- Título
- Nature-inspired Optimization Algorithms and Soft Computing: Methods, technology and applications for IoTs, smart cities, healthcare and industrial automation (Computing and Networks)
- Editorial
- The Institution of Engineering and Technology
- Año de publicación
- 2023
- Estado
- New
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 1839535164
- ISBN 13
- 9781839535161
- Peso del artículo
- 715 gramos
This edited book reviews the intertwining disciplines of nature-inspired optimization algorithms and bio-inspired soft-computing for real world applications, with the interaction between metaheuristics with complex systems. The authors present methods and techniques in IoT, image processing, smart manufacturing and healthcare.
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Acerca del autor
Rajeev Arya is an assistant professor in the Department of Electronics and Communication Engineering at the National Institute of Technology, Patna, India. His research interests cover the fields of wireless communication and security issues, device-to-device communication based IoT System, UAV communications in 5G and beyond networks, soft computing techniques and applications. He has published in international journals and conferences. He is a member of IEI, IEEE ISRD-, and IAENG. He received his Ph.D. degree in Communication Engineering from the Indian Institute of Technology (IIT Roorkee), India.
Sangeeta Singh is an assistant professor in the Department of Electronics and Communication Engineering at the National Institute of Technology, Patna, India. Her research interests include soft computing techniques and applications and beyond CMOS Devices Green Electronics steep switching transistors. She has actively participated in technical courses, workshops, and seminars at the NITs. She is a member of IEEE and IEEE EDS Society. She received her Ph.D. degree in Electronics and Communication Engineering from PDPM-IIITDM Jabalpur, India.
Maheshwari P. Singh is a professor in the Department of Computer Science and Engineering at NIT Patna, India. He has written and edited several research books. His research interests include machine learning and wireless sensor networks, fuzzy set, social media and security. He has actively participated in technical courses, workshops and seminars at the IITs and NITs. He is a member of IE (Fellow), ACM (Senior), IEEE (Senior), and ISTE (Life Member). He received his Ph.D. degree in Computer Science and Engineering from MNNIT Allahabad, India.
Brijesh Iyer holds a Ph.D. degree in Electronics and Telecommunication Engineering from Indian Institute of Technology, Roorkee, India. He is presently a senior faculty member in the Department of E&TC Engineering, Dr Babasaheb Ambedkar Technological University, India (a state technological University of Maharashtra-India). His research interests include RF front end design for 5G and beyond, IoT, biomedical imaging and signal processing. He has two patents to his credit, has authored five books on cutting edge technologies, and published over 40 research papers in peer-reviewed journals and conference proceedings. He has served as a program committee member of various international conferences. He is a member of IEEE MTTS, ISTE, IEANG, and IETE.
Venkat N. Gudivada is the chairperson of and a professor in the Computer Science Department at East Carolina University, USA. His research has been funded by NSF, NASA, U.S. Department of Energy, US Department of Navy, US Army Research Office, Marshall University Foundation, and West Virginia Division of Science and Research. His research interests include cognitive computing, computational linguistics/NLP, information retrieval, automated question generation, data management and NoSQL systems, and personalization of learning. He has published over 110 articles in peer reviewed journals, book chapters, and conference proceedings. He is an IEEE Senior Member, and member of IARIA) and the Honor Society of Phi Kappa Phi. He received his PhD degree in Computer Science from the University of Louisiana - Lafayette, Louisiana, The USA.
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Ria Christie Collections
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