Study on automatic lithology identification based on convolutional neural network and deep transfer learning
Authors (first, second and last of 9)
Collection
Engineering: Application of Machine Learning, Artificial Intelligence and Deep Learning in the Field of Microwave Engineering: Devices and Communication
This Topical Collection is dedicated to highlighting the application of Machine Learning (ML), Artificial Intelligence (AI) and Deep Learning (DL) in the field of Microwave Engineering: Devices and Communication. It will concentrate on AI/ML/DL approaches in Microwave Engineering, which includes new breakthroughs, design and performance techniques of various Microwave Devices like Antennas, Filters, Couplers etc. Starting with single/multiband antennas, this topical collection will showcase the application of AI/ML/DL in the design and/or performance features of wideband to super wideband antennas including Multiple-Input-Multiple-Output (MIMO) antenna structures suited for wireless communication.
It will also focus on the use of AI/ML/DL in various aspects of Terrestrial and/or Satellite-based Microwave Communication: Processes, Algorithms and Protocols.Editors
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Ankan Bhattacharya
Dr. Ankan Bhattacharya, Associate Professor, Hooghly Engineering & Technology College, India. His areas of research/expertise are Antenna Engineering, Computational Electromagnetics, Electronic Circuits and Systems, Signal Processing, Microwave Devices, Wireless Communication Technologies and related fields. Presently he is associated with Hooghly Engineering & Technology College (HETC), Hooghly, West Bengal, India as an Associate Professor of the Electronics and Communications Engineering Department.
