Research Challenges in Science, Engineering and Technology

Author:   S Kannadhasan ,  R Narayanan ,  M Shanmuganantham
Publisher:   Nova Science Publishers Inc
ISBN:  

9781685070083


Pages:   343
Publication Date:   01 October 2021
Format:   Hardback
Availability:   In stock   Availability explained
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Research Challenges in Science, Engineering and Technology


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Overview

This edited volume includes eighteen chapters and discusses various research challenges in science, engineering and technology. Topics discussed include learning methods of artificial intelligence, computerised medical image processing, human-computer interaction for detection of hand gestures, community energy storage, e-learning, prediction of diabetic risk, hydrogen fuel cells for automobiles, solar cells, and more.

Full Product Details

Author:   S Kannadhasan ,  R Narayanan ,  M Shanmuganantham
Publisher:   Nova Science Publishers Inc
Imprint:   Nova Science Publishers Inc
Weight:   0.605kg
ISBN:  

9781685070083


ISBN 10:   1685070086
Pages:   343
Publication Date:   01 October 2021
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Preface; Evaluation and Learning Methods of Artificial Intelligence; Computerised Medical Image Processing; A Review on Data Driven based Discrimination Techniques between Faults and Power Swing for Hybrid Renewable Energy Systems; Antimicrobial Behaviour of Substituted Styryl 3-Nitro-4-Chlorophenyl Ketone; Computation of Congestion Cost in Transmission Lines; Human Computer Interaction for Detection of Hand Gesture Using 3D Convolutional Neural Network in Machine Learning Techniques; Community Energy Storage: National and International Scenario A Review; Modelling of Multi-Input Three Level DC-DC Converter; E-Learning and Beyond: The Future of Technology in Education; State of Charge Estimation Techniques Using the Filter-Based and Data-Driven Approach: A Review; A Superlative Set Theory for the Prediction of Diabetic Risk; Investigation of Boost Converter Using Enhanced Dynamic Power Factor Rectification; Hydrogen Fuel Cell for Automobile Industries: A Review; MediSearch: A Framework for Keyword Search on Medical Terms Related to Air Pollution; Automatic Hibiscus Leaf Disease Detection and Classification Using Unsupervised Learning Techniques; Recent Trends in Solar Energy Generation, Challenges and Opportunities; Optimized Antireflection Coatings for Higher Efficiency ZnO Solar Cell; Structural Properties of Fe Doped ZnO Nanoparticles; Index.

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Author Information

R. Nagarajan, PhD Professor, Department of Electrical and Electronics Engineering, Gnanamani College of Technology, India M. Shanmuganantham Vice-Principal and Lecturer, Department of Electrical and Electronics Engineering, Tamilnadu Government Polytechnic College, India

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