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007			cr nn 008mamaa
008			230121s2022 si | s |1|| 0|eng d
020			_a9789811666360
024	7		_a10.1007/978-981-16-6636-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.B45 _b2022 EB
245	0	0	_aProceedings of the International Conference on Big Data, IoT, and Machine Learning : _bBIM 2021 _cedited by Mohammad Shamsul Arefin, M. Shamim Kaiser, Anirban Bandyopadhyay, Md. Atiqur Rahman Ahad, Kanad Ray
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXIV, 801 páginas) _b322 ilustraciones, 253 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes on Data Engineering and Communications Technologies _x2367-4520 _v95
505	0		_aPerformance Analysis of Classifier for Chronic Kidney Disease Prediction Using SVM, DNN, and KNN -- Comparative Analysis of Machine Learning Techniques in Classification Cervical Cancer using Isolation Forest with ADASYN -- Computer-Aided Cataract Detection Using Random Forest Classifier -- COV-Doctor: A Machine Learning Based Scheme for Early Identification of COVID-19 in Patients -- Ovarian Cancer Prediction from Ovarian Cysts Based on TVUS Using Machine Learning Algorithms -- A Comprehensive Analysis of Most Relevant Features Causes Heart Disease using Machine Learning Algorithms -- Early Stage Detection of Heart Failure using Machine Learning Techniques -- Automatic License Plate Recognition System For Bangladeshi Vehicles Using Deep Neural Network -- Vulnerability Analysis and Robust Training with Additive Noise for FGSM attack on Transfer Learning based Brain Tumor Detection from MRI -- Performance Evaluation of Convolution Neural Network based Object Detection Model for Bangladeshi Traffic Vehicle Detection -- Hyperspectral Image Classification Using Factor Analysis and Convolutional Neural Networks -- A Convolutional Neural Network Model for Screening COVID-19 Patients Based on CT Scan Images -- Real-Time Face Recognition System for Remote Employee Tracking.
520			_aThis book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2021), held in Cox's Bazar, Bangladesh, during 23-25 September 2021. The book covers research papers in the field of big data, IoT and machine learning. The book will be helpful for active researchers and practitioners in the field.
988			_aSpringer_Engineering_2022
650		7	_2embne _9495511 _aDatos masivos _vCongresos y asambleas
650		7	_2embne _9166090 _aAprendizaje automático _vCongresos y asambleas
650		7	_2embne _9483083 _aInternet de los objetos _vCongresos y asambleas
776	0	8	_iPrinted edition: _z9789811666353
776	0	8	_iPrinted edition: _z9789811666377
776	0	8	_iPrinted edition: _z9789811666384
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-6636-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI