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Applications of Firefly Algorithm and its Variants
Case Studies and New Developments
von Nilanjan Dey
Verlag: Springer Nature Singapore
Reihe: Springer Tracts in Nature-Inspired Computing
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ISBN: 9789811503061
Auflage: 1st ed. 2020
Erschienen am 09.11.2019
Sprache: Englisch
Umfang: 266 Seiten

Preis: 149,79 €

Biografische Anmerkung
Inhaltsverzeichnis

Dr. Nilanjan Dey is an Assistant Professor in Department of Information Technology at Techno India College of Technology, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He is a Visiting Professor at Wenzhou Medical University, China and Duy Tan University, Vietnam. He was an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD from Jadavpur University in 2015. 
He has authored/edited more than 45 books with Elsevier, Wiley, CRC Press and Springer, and published more than 300 papers. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, IGI Global, Associated Editor of IEEE Access and International Journal of Information Technology, Springer. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing, Springer, Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier, Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and data analysis, CRC. His main research interests include Medical Imaging, Machine learning, Computer Aided Diagnosis, Data Mining etc. He is the Indian Ambassador of International Federation for Information Processing - Young ICT Group. Recently, he has been awarded as one among the top 10 most published academics in the field of Computer Science in India (2015-17).



Firefly Algorithm and its Variants in Digital Image Processing: A Comprehensive Review.- Development of firefly algorithm interface for parameter optimization of electrochemical based machining processes.- A Firefly Algorithm-based Approach for Identifying Coalitions of Energy Providers that Best Satisfy the Energy Demand.- Structural damage identification using adaptive hybride volutionary Firefly algorithm.- An automated approach for developing a Convolutional Neural Network using a modified Firefly algorithm for Image Classification.


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