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020 _a9783031465734
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_223
245 1 0 _aIntelligence of Things: Technologies and Applications
_h[electronic resource] :
_bThe Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 1 /
_cedited by Nhu-Ngoc Dao, Tran Ngoc Thinh, Ngoc Thanh Nguyen.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aXV, 440 p. 192 illus., 167 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes on Data Engineering and Communications Technologies,
_x2367-4520 ;
_v187
500 _aAcceso multiusuario
505 0 _aFPGA/AI-Powered Data Security for IoT Edge Computing Platforms: A Survey and Open Issues -- A Review in Deep Learning-Based Thyroid Cancer Detection Techniques Using Ultrasound Images -- Bio-Inspired Clustering: An Ensemble Method for User-Based Collaborative Filtering -- Deep Reinforcement Learning-Based Sum-Rate Maximization for Uplink Multi-User SIMO-RSMA Systems -- Multiobjective Logistics Optimization for Automated ATM Cash Replenishment Process -- Adaptive Conflict-Averse Multi-Gradient Descent for Multi-Objective Learning -- Multicriteria Portfolio Selection with Intuitionistic Fuzzy Goals as a Pseudoconvex Vector Optimization -- Research and Develop Solutions to Traffic Data Collection Based on Voice Techniques -- Using Machine Learning Algorithms to Diagnosis Melasma from Face Images -- Reinforcement Learning for Solving Portfolio Selection Problems in the Vietnamese Market -- Towards a Smart Parking System with the Jetson Xavier Edge Computing Platform -- AlPicoSoC: A Low-Power RISC-V Based System on Chip for Edge Devices with a Deep Learning Accelerator -- A Transparent Scalable E-Voting Protocol Based on Open Vote Network Protocol and Zk-STARKs -- DarkMDE: Excavating Synthetic Images for Nighttime Depth Estimation Using Cross-Domain Supervision.
520 _aThis book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aCooperating objects (Computer systems).
650 0 _aArtificial intelligence.
650 1 4 _aComputational Intelligence.
650 2 4 _aCyber-Physical Systems.
650 2 4 _aArtificial Intelligence.
700 1 _aDao, Nhu-Ngoc.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aThinh, Tran Ngoc.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNguyen, Ngoc Thanh.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031465727
776 0 8 _iPrinted edition:
_z9783031465741
830 0 _aLecture Notes on Data Engineering and Communications Technologies,
_x2367-4520 ;
_v187
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-46573-4
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