Artificial Intelligence and Evolutionary Computations in Engineering Systems (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.

Produktdetails

• Verlag: Springer Singapore
• Erscheinungstermin: 8. Februar 2020
• Englisch
• ISBN-13: 9789811501999
• Artikelnr.: 58646588

Autorenporträt

Dr. Subhransu Sekhar Dash is presently a Professor and HOD in the Department of Electrical Engineering, Government College of Engineering, Keonjhar, Odisha, India. He received his Ph.D. degree from College of Engineering, Guindy, Anna University, Chennai, India. He has more than 22 years of research and teaching experience. His research areas are AI techniques application to power system, modeling of FACTS controller, power quality and smart grid. He is a Visiting Professor at Francois Rabelais University, POLYTECH, France. He has published more than 220 research articles in peer-reviewed international journals and conferences.
Dr. C. Lakshmi is working as a Professor and Head in the Department of Software Engineering, SRM Institute of Science & Technology, India. She received her B.E., M.E., and Ph.D., degree in Computer Science and Engineering in 1990, 2001 and 2010 respectively. Her research interests include Pattern Recognition, Image Processing, Machine learning and Software Engineering. She has published many papers in International Journals and Conferences. She has served as guest editor in various international journals.
Dr. Swagatam Das received the B. E. Tel. E., M. E. Tel. E (Control Engineering specialization), and Ph.D. degrees, all from Jadavpur University, India, in 2003, 2005, and 2009, respectively. Currently, he is serving as an Assistant Professor at the Electronics and Communication Sciences Unit of Indian Statistical Institute, Kolkata. His research interests include evolutionary computing, pattern recognition, multi-agent systems, and wireless communication. Dr. Das has published one research monograph, one edited volume, and more than 150 research articles in peer-reviewed journals and international conferences. He is the founding co-editor-in-chief of “Swarm and Evolutionary Computation,”, an international journal from Elsevier. He serves as associate editor of the IEEE Transactions on Systems, Man, and Cybernetics: Systems and Information Sciences (Elsevier). He is an editorial board member of Progress in Artificial Intelligence (Springer), Mathematical Problems in Engineering, International Journal of Artificial Intelligence and Soft Computing, and International Journal of Adaptive and Autonomous Communication Systems. He is the recipient of the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE).
Dr. B K Panigrahi is working as a Professor in the Electrical Engineering Department, IIT Delhi, India. Prior to joining IIT Delhi in 2005, he has served as a faculty in Electrical Engineering Department, UCE Burla, Odisha, India, from 1992 to 2005. Dr Panigrahi is a senior member of IEEE and Fellow of INAE, India. His research interest includes the application of soft computing and evolutionary computing techniques to power system planning, operation, and control. He has also worked in the fields of bio-medical signal processing and image processing. He has served as the editorial board member, associate editor, and special issue guest editor of different international journals. He is also associated with various international conferences in various capacities. Dr. Panigrahi has published more than 100 research papers in various international and national journals.

Inhaltsangabe

Automatic Generation Control Using Novel PD plus FOPI Controller Tuned By Salp Swarm Algorithm.- Plant Disease Identification and Detection Using Support Vector Machines and Artificial Neural Networks.- Efficiency Comparison and Analysis of Pseudo-Random Generators in Network Security.- A Detailed Analysis of Intruders’ Activities in the Network through the Real-Time Virtual Honeynet Experimentation.- Global and Local Signed Pressure Force Functions Active Contour Model Based on Entropy.- Optimization of Big Data Using Rough Set Theory and Data Mining for Textile Applications.- Machine Learning Based Device for Visually Impaired Person.- Forest Cover Classification Using Stacking Of Ensemble Learning and Neural Networks.- Predicting the Trends of Price for Ethereum Using Deep Learning Techniques.- Development of a Novel Embedded Board: Canduino.- Sales Demand Forecasting using Lstm Network.- Privacy Enhanced Emotion Recognition Approach for Remote Health Advisory System.- An EffectiveApproach for Plant Monitoring, Classification and Prediction Using Iot and Machine Learning.- Encrypted Transfer of Confidential Information Using Steganography and Identity Verification Using Face Data.- Intelligent Wireless Sensor Networks for Precision Agriculture.- Mining Of Removable Closed Patterns in Goods Dataset.- Comparative Analysis and Performance of D-STATCOM Device Using PI and Second Order Sliding Mode Control.- Stock Market Prediction Using Long Short Term Memory.- Dragonfly Algorithm for Optimal Allocation of D-STATCOM in Distribution Systems.- SRF Control Algorithm for Five Level Cascaded H-Bridge D-STATCOM in Single Phase Distribution System.

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Automatic Generation Control Using Novel PD plus FOPI Controller Tuned By Salp Swarm Algorithm.- Plant Disease Identification and Detection Using Support Vector Machines and Artificial Neural Networks.- Efficiency Comparison and Analysis of Pseudo-Random Generators in Network Security.- A Detailed Analysis of Intruders' Activities in the Network through the Real-Time Virtual Honeynet Experimentation.- Global and Local Signed Pressure Force Functions Active Contour Model Based on Entropy.- Optimization of Big Data Using Rough Set Theory and Data Mining for Textile Applications.- Machine Learning Based Device for Visually Impaired Person.- Forest Cover Classification Using Stacking Of Ensemble Learning and Neural Networks.- Predicting the Trends of Price for Ethereum Using Deep Learning Techniques.- Development of a Novel Embedded Board: Canduino.- Sales Demand Forecasting using Lstm Network.- Privacy Enhanced Emotion Recognition Approach for Remote Health Advisory System.- An EffectiveApproach for Plant Monitoring, Classification and Prediction Using Iot and Machine Learning.- Encrypted Transfer of Confidential Information Using Steganography and Identity Verification Using Face Data.- Intelligent Wireless Sensor Networks for Precision Agriculture.- Mining Of Removable Closed Patterns in Goods Dataset.- Comparative Analysis and Performance of D-STATCOM Device Using PI and Second Order Sliding Mode Control.- Stock Market Prediction Using Long Short Term Memory.- Dragonfly Algorithm for Optimal Allocation of D-STATCOM in Distribution Systems.- SRF Control Algorithm for Five Level Cascaded H-Bridge D-STATCOM in Single Phase Distribution System.