000			02040nam a22003615i 4500
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008			230904s2023 si | o |||| 0|eng d
020			_a9789819926091
024	7		_a10.1007/978-981-99-2609-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA75.5 _b2023 EB
245	0	0	_aArtificial Intelligence and Data Science Based R&D Interventions : _bProceedings of NERC 2022 _cedited by Ratnajit Bhattacharjee, Debanga Raj Neog, Konda Reddy Mopuri, Santosh Kumar Vipparthi
250			_a1st ed 2023
264		1	_aSingapore _bSpringer Nature _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aNegation in A Language -- A Computational Approach for the Tonal Identification in Bodo Language -- Real-Time Detection of Natural Scene Assamese Texts using Deep Learning -- Development Of Directional Drilling Well Profile Design App Using Python -- Prediction and forecasting municipal solid waste generation of Northeastern cities by retrofitting ML models of Guwahati, India.
520			_aThis book title is a composition of multiple research efforts that are based on cutting-edge Artificial Intelligence (AI) techniques. Some of the signal processing problems are addressed with techniques from the broad areas of machine learning and deep learning.
988			_aSpringer_Computer_2023
650		7	_2embne _9139268 _aInformática _vCongresos y asambleas
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-2609-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _ek _zSI