Overview

This book constitutes proceedings of the 7th International Conference on Information, Communication and Computing Technology, ICICCT 2022, held in New Delhi, India, in July 2022. The 11 papers presented in this volume were carefully reviewed and selected from 65 submissions. The papers cover a great variety of topics, such as wireless networks, deep learning, machine learning, neural networks, natural language processing, sentiment analysis, network security, image processing, image augmentation and others.  The contributions are divided into the following thematic blocks: Networking and Communication; Evolutionary Computing through Machine Learning.

Full Product Details

Author:   Costin Badica ,  Marcin Paprzycki ,  Latika Kharb ,  Deepak Chahal
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2022
Volume:   1670
Weight:   0.267kg
ISBN:  

9783031209765

ISBN 10:   3031209761
Pages:   151
Publication Date:   13 November 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Networking and Communication.- Energy Efficient Communication using Constrained Application Protocol for IoT Devices.- A Systematic Study on LoRa Communication in IoT: Implementation Challenges and Research Solutions.- A Low Complexity CFO Reduction Technique for LFDMA Systems.- DICCh-D: Detecting IPv6-based Covert Channels using DNN.- Evolutionary Computing through Machine Learning.- Image Caption Generation for Low Light Images.- A Study On Feature Selection For Gender Detection In Speech Processing For Assamese Language.- Bengali Fake News Detection: Transfer Learning Based Technique with Masked LM Process by BERT.- Crowd Counting Using Federated Learning And Domain Adaptation.- News Headline Generation using Abstractive Text Summarization.- Facial Based Age Estimation Among Dark Skinned Hominid Species.- Multi-class Classification of Leaves using Transfer Learning.

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