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Proceedings of Data Analytics and Management ICDAM 2021, Volume 2
Title
Proceedings of Data Analytics and Management [electronic resource] : ICDAM 2021, Volume 2 / edited by Deepak Gupta, Zdzislaw Polkowski, Ashish Khanna, Siddhartha Bhattacharyya, Oscar Castillo.
ISBN
9789811662850
Edition
1st ed. 2022.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Physical Description
1 online resource (XXIV, 859 p.) 430 illus., 329 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June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.
Variant and related titles
Springer ENIN.
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Printed edition:
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Format
Books / Online
Language
English
Added to Catalog
July 26, 2023
Series
Lecture Notes on Data Engineering and Communications Technologies, 91
Contents
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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