000			02996nam a22003015i 4500
001			402043
003			DE-He213
005			20240514120043.0
007			cr nn 008mamaa
008			240224s2024 si | o |||| 0|eng d
020			_a9789819987719
024	7		_a10.1007/978-981-99-8771-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5101-5105.9 _b2024 EB
245	0	0	_aIntelligent Signal Processing and RF Energy Harvesting for State of art 5G and B5G Networks _cedited by Javaid A Sheikh, Taimoor Khan, Binod Kumar Kanaujia
250			_a1st ed. 2024.
264		1	_aSingapore _bSpringer International Publishing _c2024
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aEnergy Systems in Electrical Engineering _x2199-8590
505	0		_aChapter 1. Radio Frequency Energy Harvesting for Low Power Applications -- Chapter 2. Intelligent and Reliable Cognitive 5G using Whale Optimization Techniques -- Chapter 3. Wearable Antennas for Indoor and Outdoor Communications -- Chapter 4. An Overview of Different Energy Efficient Optimization Methods -- Chapter 5. An Overview of Different Energy Efficient Methods for 5G and Beyond Networks -- Chapter 6. Design of Energy Efficient RF-MEMS based Energy Harvesters for Industrial Internet of Things (IIOT) -- Chapter 7. Meta-material Inspired Wideband on-body Antenna for Bio-medical Applications -- Chapter 8. Radio Frequency (RF) Energy Harvesting in IOT Devices and introduction to Rectennas -- .
520			_aThe book covers all the emerging paradigms of machine learning and bio-inspired algorithms and their synergies with communication networks which may prove to a core 5G and 6G enablers. It consists of 11 chapters with varied fields. The book introduces the fundamentals of broadband wireless networks and issues related to energy efficiency and optimization. Also, it discusses the efficient bio-inspired algorithms and their utility in wireless networks for 5G, B5G, and IoT. Different fitness functions for different bio-inspired and other artificial intelligence algorithms are described in the book. More importantly it also introduces the concept, implementation, and technological challenges of efficient wireless energy harvesting methods. The book discusses different methodologies for efficient antenna designs. It also covers real-time applications on the Internet of Medical Things (IOMT). The book helps the readers to understand the subject and solve many real-time issues. It proves a ready reference to the researchers working in RF, artificial intelligence, machine learning, and communication networks.
942			_2lcc _cLE
988			_aSpringer_Engineering_2024
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-8771-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
999			_c402043 _d402043