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020 _a9789819920587
024 7 _a10.1007/978-981-99-2058-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ334
_b2023 EB
245 0 0 _aProceedings of the 4th International Conference on Data Science, Machine Learning and Applications :
_bICDSMLA 2022, 26-27 December, Hyderabad, India
_cedited by Amit Kumar, Vinit Kumar Gunjan, Yu-Chen Hu, Sabrina Senatore
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
490 0 _aLecture Notes in Electrical Engineering
_x1876-1119
_v1038
505 0 _aChapter 1: Mr. Bot - A Survey on Arduino Based Autonomous Robotic Vehicle -- Chapter 2: Opinion Mining based Fake Review Detection using Deep Learning Technique -- Chapter 3: Analysis of the Seer dataset for lung cancer diagnosis for Stage classification and survival Analysis -- Chapter 4: Data Analytics for Athlete Safety in Training -- Chapter 5: Social Media + Machine Learning to Offer Clues on Suicide Ideation Concerns -- Chapter 6: Analysis of Various Techniques of Fetal Growth Detection.
520 _aThis book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.
988 _aSpringer_Computer_2023
650 7 _2embne
_9413115
_aInteligencia artificial
_vCongresos y asambleas
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-2058-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2024
_dz
_ean
_zSI