This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan's Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in…mehr
This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan's Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.
Produktdetails
Produktdetails
Advances in Intelligent Systems and Computing 1280
Debnath Bhattacharyya is associated as a Professor with the Computer Science and Engineering Department, K.L. University, KLEF, Guntur 522502, India. Dr. Bhattacharyya is presently an Invited International Professor of Lincoln University College, KL, Malaysia. He is also working as a Visiting Professor, MPCTM, Gwalior, India, in the Department of Computer Science and Engineering. Dr. Bhattacharyya received his Ph.D. (Tech., Computer Science and Engineering) from the University of Calcutta, Kolkata. He is the Editor of many international journals (indexed by Scopus, SCI, and Web of Science). He published 163 Scopus Indexed Papers and 128 Web of Science Papers. His Research interests include security engineering, pattern recognition, biometric authentication, multimodal biometric authentication, data mining, and image processing. In addition, he is serving as a Reviewer of various international journals of Springer, Elsevier, IEEE, etc., and international conferences. N. Thirupathi Rao is currently associated as Associate Professor in the Department of CSE, Vignan's Institute of Information Technology (Autonomous), Duvvada, Visakhapatnam, India. He did his PhD from Andhra University, India. His research interests include networking and security. He published 35 indexed research papers in Scopus and Web of Science. He is working as Editors in many international Journals as well.
Inhaltsangabe
A Comparative Study on Automated Detection of Malaria by Using Blood Smear Images.- A Survey on Techniques for Android Malware Detection.- Comparative Analysis of Prevalent Disease by Pre-processing Techniques using Big Data and Machine Learning: An Extensive Review.- Prediction of Diabetes using Ensemble Learning Model.- Improve K-Mean Clustering Algorithm in Large Scale Data for Accuracy Improvement.- A Novel Approach to Predict Cardiovascular Disease Using Machine Learning.- Comparative Analysis of Machine Learning Models on Loan Risk Analysis.- Compact MIMO Antenna for Evolving 5G Applications with Two / Four Elements.- Accurate Prediction of Fake Job Offers Using Machine Learning.- Emotion Recognition through Human Conversation using Machine Learning Techniques.
A Comparative Study on Automated Detection of Malaria by Using Blood Smear Images.- A Survey on Techniques for Android Malware Detection.- Comparative Analysis of Prevalent Disease by Pre-processing Techniques using Big Data and Machine Learning: An Extensive Review.- Prediction of Diabetes using Ensemble Learning Model.- Improve K-Mean Clustering Algorithm in Large Scale Data for Accuracy Improvement.- A Novel Approach to Predict Cardiovascular Disease Using Machine Learning.- Comparative Analysis of Machine Learning Models on Loan Risk Analysis.- Compact MIMO Antenna for Evolving 5G Applications with Two / Four Elements.- Accurate Prediction of Fake Job Offers Using Machine Learning.- Emotion Recognition through Human Conversation using Machine Learning Techniques.
A Comparative Study on Automated Detection of Malaria by Using Blood Smear Images.- A Survey on Techniques for Android Malware Detection.- Comparative Analysis of Prevalent Disease by Pre-processing Techniques using Big Data and Machine Learning: An Extensive Review.- Prediction of Diabetes using Ensemble Learning Model.- Improve K-Mean Clustering Algorithm in Large Scale Data for Accuracy Improvement.- A Novel Approach to Predict Cardiovascular Disease Using Machine Learning.- Comparative Analysis of Machine Learning Models on Loan Risk Analysis.- Compact MIMO Antenna for Evolving 5G Applications with Two / Four Elements.- Accurate Prediction of Fake Job Offers Using Machine Learning.- Emotion Recognition through Human Conversation using Machine Learning Techniques.
A Comparative Study on Automated Detection of Malaria by Using Blood Smear Images.- A Survey on Techniques for Android Malware Detection.- Comparative Analysis of Prevalent Disease by Pre-processing Techniques using Big Data and Machine Learning: An Extensive Review.- Prediction of Diabetes using Ensemble Learning Model.- Improve K-Mean Clustering Algorithm in Large Scale Data for Accuracy Improvement.- A Novel Approach to Predict Cardiovascular Disease Using Machine Learning.- Comparative Analysis of Machine Learning Models on Loan Risk Analysis.- Compact MIMO Antenna for Evolving 5G Applications with Two / Four Elements.- Accurate Prediction of Fake Job Offers Using Machine Learning.- Emotion Recognition through Human Conversation using Machine Learning Techniques.
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