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Applications in Electronics Pervading Industry, Environment and Society: APPLEPIES 2025 [Kõva köide]

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  • Formaat: Hardback, 363 pages, kõrgus x laius: 235x155 mm, 132 Illustrations, color; 13 Illustrations, black and white
  • Sari: Lecture Notes in Electrical Engineering
  • Ilmumisaeg: 20-Feb-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032171733
  • ISBN-13: 9783032171733
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  • Kõva köide
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  • Formaat: Hardback, 363 pages, kõrgus x laius: 235x155 mm, 132 Illustrations, color; 13 Illustrations, black and white
  • Sari: Lecture Notes in Electrical Engineering
  • Ilmumisaeg: 20-Feb-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032171733
  • ISBN-13: 9783032171733
Teised raamatud teemal:
This book provides a thorough overview of cutting-edge research on electronics applications relevant to industry, the environment, and society at large. It covers a broad spectrum of application domains, from automotive to space and from health to security, while devoting special attention to the use of embedded devices and sensors for imaging, communication, and control. The book is based on the 2025 ApplePies Conference, held in Turin, Italy, on September 1112, 2025, which brought together researchers and stakeholders to consider the most significant current trends in the field of applied electronics and to debate visions for the future. Areas addressed by the conference included information communication technology; biotechnology and biomedical imaging; space; secure, clean, and efficient energy; the environment; and smart, green, and integrated transport. As electronics technology continues to develop apace, constantly meeting previously unthinkable targets, further attention needs to be directed toward the electronics applications and the development of systems that facilitate human activities. This book, written by industrial and academic professionals, represents a valuable contribution in this endeavor.
AI-based Privacy Management and Awareness for Smart Environments.-
EmotiBitSec: A Security Layer for Wearable Bio-Sensing Devices.- Edge DEvice
Training Testbed.-  Lightweight Deep Learning for SOC Estimation of Various
Lithium-Ion Batteries on Xilinx ZCU104 FPGA.- Evolutionary NASApproach to
Object Classification for Wearable Device.- Wireless Batteryless RF Energy
Harvester for Smart Devices.