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Proceedings of the International Con...

International Conference on Big Data, IoT, and Machine Learning ((2021 :)

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Proceedings of the International Conference on Big Data, IoT, and Machine Learning = BIM 2021 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of the International Conference on Big Data, IoT, and Machine Learning/ edited by Mohammad Shamsul Arefin ... [et al.].
其他題名:	BIM 2021 /
其他題名:	BIM 2021
其他作者:	Arefin, Mohammad Shamsul.
團體作者:	International Conference on Big Data, IoT, and Machine Learning
出版者:	Singapore :Springer Singapore : : 2022.,
面頁冊數:	xxiv, 801 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Big data - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-16-6636-0
ISBN:	9789811666360

Proceedings of the International Conference on Big Data, IoT, and Machine Learning = BIM 2021 /
Proceedings of the International Conference on Big Data, IoT, and Machine LearningBIM 2021 /[electronic resource] :BIM 2021edited by Mohammad Shamsul Arefin ... [et al.]. - Singapore :Springer Singapore :2022. - xxiv, 801 p. :ill. (some col.), digital ;24 cm. - Lecture notes on data engineering and communications technologies,v. 952367-4520 ;. - Lecture notes on data engineering and communications technologies ;v. 95..

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.

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.

ISBN: 9789811666360

Standard No.: 10.1007/978-981-16-6636-0doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45 / I57 2021

Dewey Class. No.: 005.7

Proceedings of the International Conference on Big Data, IoT, and Machine Learning = BIM 2021 /
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