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Proceedings of the International Conference on Big Data, Iot, and Machine Learning: Bim 2021
Anirban Bandyopadhyay
(Illustrated by)
·
Mohammad Shamsul Arefin
(Illustrated by)
·
M. Shamim Kaiser
(Illustrated by)
·
Springer
· Paperback
Proceedings of the International Conference on Big Data, Iot, and Machine Learning: Bim 2021 - Arefin, Mohammad Shamsul ; Kaiser, M. Shamim ; Bandyopadhyay, Anirban
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Synopsis "Proceedings of the International Conference on Big Data, Iot, and Machine Learning: Bim 2021"
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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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