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E-raamat: Research Challenges in Science, Engineering and Technology

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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.
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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Püsilink: https://www.kriso.ee/db/97816850702812e.html
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