Title Proceedings of the International Conference on Big Data, IoT, and Machine Learning : BIM 2021 / Mohammad Shamsul Arefin, M. Shamim Kaiser, Anirban Bandyopadhyay, Md. Atiqur Rahman Ahad, Kanad Ray, editors

Published Singapore : Springer, [2022]

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Description 1 online resource (xxiv, 801 pages) : illustrations (some color) Series Lecture notes on data engineering and communications technologies, 2367-4520 ; volume 95 Lecture notes on data engineering and communications technologies ; v. 95. Contents Performance 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 Summary This 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 Notes "However, due to the COVID-19 pandemic situation, BIM 2021 took place in full virtual mode."--Preface Includes author index Online resource; title from PDF title page (SpringerLink, viewed December 15, 2021) Subject Big data -- Congresses Machine learning -- Congresses Internet of things -- Congresses Big data Internet of things Machine learning Genre/Form proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Arefin, Mohammad Shamsul, editor Kaiser, M. Shamim, editor Bandyopadhyay, Anirban, editor Ahad, Md. Atiqur Rahman, editor Ray, Kanad, editor ISBN 9789811666360 9811666369

Other Titles BIM 2021

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