Information, Communication and Computing Technology

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Details

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.

Inhalt
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.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Herausgeber Springer Nature Switzerland
    • Gewicht 265g
    • Untertitel 7th International Conference, ICICCT 2022, New Delhi, India, July 16, 2022, Revised Selected Papers
    • Titel Information, Communication and Computing Technology
    • Veröffentlichung 13.11.2022
    • ISBN 3031209761
    • Format Kartonierter Einband
    • EAN 9783031209765
    • Jahr 2022
    • Größe H235mm x B155mm x T10mm
    • Anzahl Seiten 168
    • Lesemotiv Verstehen
    • Editor Costin Badica, Deepak Chahal, Latika Kharb, Marcin Paprzycki
    • Auflage 1st edition 2022
    • GTIN 09783031209765

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