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008			231001s2024 si | fo |1|| 0|eng d
020			_a9789819960620
024	7		_a10.1007/978-981-99-6062-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTS183 _b2024 EB
245	0	0	_aAdvances in Intelligent Manufacturing and Service System Informatics : _bProceedings of IMSS 2023 _cedited by Zekâi Şen, Özer Uygun, Caner Erden
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		_aLecture Notes in Mechanical Engineering _x2195-4364
505	0		_aProject Idea Selection in an Automotive R&D Center -- Modeling Electro-Erosion Wear of Cryogenic Treated Electrodes of Mold Steels Using Machine Learning Algorithms -- Determination of the Most Suitable New Generation Vacuum Cleaner Type with PFAHP-PFTOPSIS Techniques Based on E-WOM -- Quality Control in Chocolate Coating Processes by Image Processing: Determination of Almond Mass and Homogeneity of Almond Spread -- Internet of Medical Things (IoMT): An Overview and Applications -- Forecasting Electricity Prices for the Feasibility of Renewable Energy Plants.
520			_aThis book comprises the proceedings of the 12th International Symposium on Intelligent Manufacturing and Service Systems 2023. The contents of this volume focus on recent technological advances in the field of artificial intelligence in manufacturing & service systems including machine learning, autonomous control, bioinformatics, human-artificial intelligence interaction, digital twin, robotic systems, sybersecurity, etc. This volume will prove a valuable resource for those in academia and industry.
988			_aSpringer_Engineering_2024
650		7	_2embne _9163432 _aProcesos de fabricación
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-6062-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2024 _dz _eb _zSI