Proceedings of the International Conference on Big Data, Iot, and Machine Learning: Bim 2021

By Anirban Bandyopadhyay

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.

• Format: Hardcover
• Language: English
• ISBN: 9811666350
• ISBN13: 9789811666353
• Release Date: December 2021
• Publisher: Springer
• Length: 801 Pages
• Weight: 2.92 lbs.
• Dimensions: 1.8" x 6.1" x 9.2"