Proceedings of 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication : MARC 2023, Volume 1 (Lecture Notes in Electrical Engineering) (2024)

Proceedings of 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication : MARC 2023, Volume 1 (Lecture Notes in Electrical Engineering) (2024)

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  • 製本 Hardcover:ハードカバー版/ページ数 440 p.
  • 言語 ENG
  • 商品コード 9789819752263

Full Description

This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2023), held in Glocal University, Saharanpur, Uttar Pradesh, India, during 28-29 November 2023. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.

Contents

Sentiments Analysis Using Contextual Mining and Supervised Learning.- A Comprehensive Review on Artificial Intelligence  Security solutions in Blockchain based IoT.- Implementation of Document Management System using Cloud with the Schema of Marketing Database.- Framework for Image Processing Based Robotic Car for Agricultural Ploughing Using Ensembling Machine Learning Approach.- Security Measures for AI, IoT, and Blockchain Integration with Industrial Fuzzy Approach.- Fusion of Blockchain, Cloud Computing and Fuzzy Mathematics: Unlocking Innovative Solutions for Businesses.- Tracking of Missing Person Identification with Face Recognititon using Ensembling Approach.- File Tracking System using SAP Technology with Cloud Web Services.- Planet Re-Fill: Reducing Single Use Plastic Waste through Refill Stations.- "Contingency Analysis in Power System Studies: A critical review".- Solar Based Mulching Paper Hole Maker.- Fine tuning Bert-base-cased model on Covid vaccine tweets.- Sign Language Detection using AI Machine Learning.- CT Image Denoising Using Bilateral Filter and Convolutional Neural Network.- Masked face recognition using Deep Learning.

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