Modern Practices and Trends in Expert Applications and Security : Proceedings of MP-TEAS 2024, Volume 2

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Modern Practices and Trends in Expert Applications and Security : Proceedings of MP-TEAS 2024, Volume 2

  • 言語:ENG
  • ISBN:9789819657834
  • eISBN:9789819657841

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Description

This book is a collection of best -selected research papers presented at the International Conference on Modern Practices and Trends in Expert Applications and Security (MP-TEAS 2024). This book contains articles on current trends of machine learning, internet of things, and smart cities applications emphasizing on multi-disciplinary research in the areas of artificial intelligence and cyber- physical systems. The book is a great resource for scientists, research scholars and PG students to formulate their research ideas and find future directions in these areas.

Table of Contents

Fake Review Detection using BERT and ELECTRA.- Detection of Severe Acute Respiratory Syndrome Corona Virus Disease Using Transfer Learning Approach.- A comparative study of pre-GST & post GST scenarios- a revolutionary digital step towards digitalisation in India.- Harnessing Artificial Intelligence for Stock Market Price Forecasting.- Exploring Machine Learning Techniques in School Education: A Comprehensive Analysis of Student Academic Performance.- An Assistive Technology Solution for the Visually and Hearing Impaired integrating Raspberry Pi, Ultrasonic Sensors, and Braille Feedback.- GCNN: A Convolutional Neural Network with Gabor filter for the classification of Pelvic Bone Cancer MRI images.- Machine Learning-Driven Insights into the Impact of Sustainable Business Practices on Startup Financial Performance.- New Intelligent Computing Techniques for Engineering Materials  - A Comprehensive Review.- Transforming Green Finance and Investment Solutions with Blockchain Technology: A Sustainable Model for Green Bonds.- Unraveling the Drivers of Women's Entrepreneurial Intention: A Regression Analysis of Skills, Behavior, and Awareness.- Deep Learning Ensemble Model for Classification of Herbal Plant Leaves.- WinRan: Securing Image in a dual layered Image Steganography.

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