This book gathers high-quality papers presented at the International Conference on Artificial Intelligence and Applications (ICAIA 2020), held at Maharaja Surajmal Institute of Technology, New Delhi, India, on 6-7 February 2020. The book covers areas such as artificial neural networks, fuzzy systems, computational optimization technologies and machine learning.
This book gathers high-quality papers presented at the International Conference on Artificial Intelligence and Applications (ICAIA 2020), held at Maharaja Surajmal Institute of Technology, New Delhi, India, on 6-7 February 2020. The book covers areas such as artificial neural networks, fuzzy systems, computational optimization technologies and machine learning.
Produktdetails
Produktdetails
Advances in Intelligent Systems and Computing 1164
Dr. Poonam Bansal is currently a Professor at the Computer Science & Engineering Department & Deputy Director of the Maharaja Surajmal Institute of Technology, New Delhi, India. She has 30 years of teaching, industry and research experience. She received her B.Tech. and M.Tech. from Delhi College of Engineering, and her Ph.D. in Computer Science and Engineering from GGSIP University, Delhi. Her research interests include neural networks, speech technology, digital image processing and pattern recognition, and she has published more than 50 research papers in respected international journals and at conferences. She is a member of IEEE, ASI, ISTE and CSI. Dr. Meena Tushir is a Professor and Head of the Electrical & Electronics Engineering Department at Maharaja Surajmal Institute of Technology, New Delhi, India. She holds a Ph.D. degree in Instrumentation and Control Engineering from Delhi University, and she has over 25 years of teaching experience. Her research areas include fuzzy logic and neural networks, pattern recognition and image segmentation. She has published more than 50 research papers in various respected international journals and at conferences. Dr. Valentina E. Balas is a Professor at the Department of Automatics and Applied Software at the Faculty of Engineering, Aurel Vlaicu University of Arad, Romania, where she is also Head of the Intelligent Systems Research Centre. Her research interests include intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling and simulation, and she has published more than 300 research papers in refereed journals and at international conferences. She is a member of EUSFLAT and SIAM and a senior member IEEE, where she is a member of TC - Fuzzy Systems (IEEE CIS), Emergent Technologies (IEEE CIS), and Soft Computing (IEEE SMCS). Dr. Rajeev Srivastava is currently a Professor and Head of the Department of Computer Science& Engineering, IIT (BHU), Varanasi, India. He has over 20 years of teaching experience and has published more than 100 research papers in respected international journals and at conferences. His research interests are in the field of image processing, computer vision, pattern classification, video surveillance, medical image processing and pattern recognition, mathematical image modeling and analysis, artificial intelligence and machine vision and processing. He is a Fellow of IETE, IEI and ISTE (India).
Inhaltsangabe
Analysis of Breast Cancer Detection Techniques Using Rapid Miner.- Software Cost Estimation Using LSTM - RNN.- Artificial Neural Network (ANN) to Design Microstrip Transmission Line.- Classifying Breast Cancer based on Machine learning.- Comparison of Various Statistical Techniques Used in Meta-Analysis.- Stress Prediction Model Using Machine Learning.- Finger Vein Recognition Using Deep Learning.- Cyber Security Safeguards among Parents/Guardians in the Facet of Arba Minch, Ethiopia.- Secure Communication: Using Double Compound-Combination Hybrid Synchronization.- Fractional Inverse Matrix Projective Combination Synchronization with Application in Secure Communication.- Cryptosystem Based on hybrid Chaotic Structured Phase Mask and Hybrid Mask Using Gyrator Transform.- PE Files based Malware Detection Using Machine Learning.
Analysis of Breast Cancer Detection Techniques Using Rapid Miner.- Software Cost Estimation Using LSTM - RNN.- Artificial Neural Network (ANN) to Design Microstrip Transmission Line.- Classifying Breast Cancer based on Machine learning.- Comparison of Various Statistical Techniques Used in Meta-Analysis.- Stress Prediction Model Using Machine Learning.- Finger Vein Recognition Using Deep Learning.- Cyber Security Safeguards among Parents/Guardians in the Facet of Arba Minch, Ethiopia.- Secure Communication: Using Double Compound-Combination Hybrid Synchronization.- Fractional Inverse Matrix Projective Combination Synchronization with Application in Secure Communication.- Cryptosystem Based on hybrid Chaotic Structured Phase Mask and Hybrid Mask Using Gyrator Transform.- PE Files based Malware Detection Using Machine Learning.
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