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Proceedings of Data Analytics and Management = ICDAM 2021, Volume 2 /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Proceedings of Data Analytics and Management / edited by Deepak Gupta, Zdzislaw Polkowski, Ashish Khanna, Siddhartha Bhattacharyya, Oscar Castillo.
Reminder of title:
ICDAM 2021, Volume 2 /
other author:
Gupta, Deepak.
Description:
XXIV, 859 p. 430 illus., 329 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-981-16-6285-0
ISBN:
9789811662850
Proceedings of Data Analytics and Management = ICDAM 2021, Volume 2 /
Proceedings of Data Analytics and Management
ICDAM 2021, Volume 2 /[electronic resource] :edited by Deepak Gupta, Zdzislaw Polkowski, Ashish Khanna, Siddhartha Bhattacharyya, Oscar Castillo. - 1st ed. 2022. - XXIV, 859 p. 430 illus., 329 illus. in color.online resource. - Lecture Notes on Data Engineering and Communications Technologies,912367-4520 ;. - Lecture Notes on Data Engineering and Communications Technologies,3.
CNN Based Feature Extraction for Visual Speech Recognition in Malayalam -- Effective Rate of Minority Class Over-Sampling for Maximizing the Imbalanced Dataset -- Spectral Efficiency Analysis of Massive MIMO -- Dental Cavity Detection using YOLO -- Development of Data Set for Automatic News Telecast System for Deaf Using ISL Videos -- A Comprehensive Survey on Content Based Image Retrieval using Machine Learning -- Machine Learning Techniques for Keystroke Dynamics -- Artificial Neural Network Approach for Multimodal Biometric Authentication System -- Malware Classification and Defence Against Adversarial Attacks -- Test Suite minimization based upon CMIMX and ABC -- Comparative Analysis on Machine Learning Methodologies for the Effective Usage of Medical WSNs -- Convolutional Neural Networks for Malaria Image Classification -- Plant Leaf Disease Identification and Prescription Suggestion Using Deep Learning -- Efficient Spectrum Allocation in Wireless Networks Using Channel Aggregation Fragmentation with Reservation Channels -- Toxic Comment Classification using Bi-Directional GRUs & CNN -- Climate Dependent Crop Management through Data Modeling -- Translate2Classify: Machine Translation for E-Commerce Product Categorization in comparison to Machine Learning & Deep Learning Classification -- Multimodal Biometric Authentication by Slap Swarm based Score Level Fusion -- Hybrid Metaheuristic Algorithm based Clustering with Multi-hop Routing Protocol for Wireless Sensor Networks.
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.
ISBN: 9789811662850
Standard No.: 10.1007/978-981-16-6285-0doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Proceedings of Data Analytics and Management = ICDAM 2021, Volume 2 /
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CNN Based Feature Extraction for Visual Speech Recognition in Malayalam -- Effective Rate of Minority Class Over-Sampling for Maximizing the Imbalanced Dataset -- Spectral Efficiency Analysis of Massive MIMO -- Dental Cavity Detection using YOLO -- Development of Data Set for Automatic News Telecast System for Deaf Using ISL Videos -- A Comprehensive Survey on Content Based Image Retrieval using Machine Learning -- Machine Learning Techniques for Keystroke Dynamics -- Artificial Neural Network Approach for Multimodal Biometric Authentication System -- Malware Classification and Defence Against Adversarial Attacks -- Test Suite minimization based upon CMIMX and ABC -- Comparative Analysis on Machine Learning Methodologies for the Effective Usage of Medical WSNs -- Convolutional Neural Networks for Malaria Image Classification -- Plant Leaf Disease Identification and Prescription Suggestion Using Deep Learning -- Efficient Spectrum Allocation in Wireless Networks Using Channel Aggregation Fragmentation with Reservation Channels -- Toxic Comment Classification using Bi-Directional GRUs & CNN -- Climate Dependent Crop Management through Data Modeling -- Translate2Classify: Machine Translation for E-Commerce Product Categorization in comparison to Machine Learning & Deep Learning Classification -- Multimodal Biometric Authentication by Slap Swarm based Score Level Fusion -- Hybrid Metaheuristic Algorithm based Clustering with Multi-hop Routing Protocol for Wireless Sensor Networks.
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