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

Format:

Book

Author/Creator:

Arefin, Mohammad Shamsul, author.

Series:

Lecture Notes on Data Engineering and Communications Technologies, 2367-4520 ; 95

Language:

English

Subjects (All):

Internet of things.

Big data.

Artificial intelligence.

Internet of Things.

Big Data.

Artificial Intelligence.

Local Subjects:

Internet of Things.

Big Data.

Artificial Intelligence.

Physical Description:

1 online resource (784 pages)

Edition:

1st ed. 2022.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2022.

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.

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.

ISBN:

981-16-6635-0

981-16-6636-9

OCLC:

1295270842