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Special Session

Bio-Signal Processing using Deep Learning

In the last few years, the technologies related to imaging, video processing, computer graphics, 3D modelling and multimedia have been greatly employed in various application areas such as detection, image analysis, image compression, face recognition etc. The continuous development of these technologies leads researchers to propose new methodologies and applications in bio-signal processing field by incorporating the techniques and methodology available in existing domains like image processing and analysis. Moreover, recent signal processing and machine learning algorithms give the opportunity to process large datasets with raw input signal as well as signals in real time analysis. In order to extract information and develop new analysis procedures and models. Deep Learning is the future, big as well as demanding things today. They cover not only Information and communication technology, but also all kinds of systems in our society, including business, finance, industry, manufacture, management, and environment. DL is going to be game changer for many applications areas, now it is going to be applied in various research fields.

Aim of this special session is to bring together researchers from different fields of expertise to discuss how deep learning could help analysis, modelling, simulation, and application in the Interdisciplinary domains of several cutting edge technologies with input as bio-signal. Topics to be discussed in this special session include (but are not limited to) the following:

● Bio-Signal Analysis using deep learning
● Bio-Signal Segmentation using deep learning
● Bio-Signal Recognition using deep learning
● Bio-Signal Processing Applications
● Active Machine Learning and Machine Learning Applications
● Clustering, Classification and Regression Methods
●Supervised, Semi-Supervised and Unsupervised Learning, Reinforcement Learning
● Unsupervised Pre-trained Networks (UPNs)
● Convolutional Neural Networks (CNNs)
● Recurrent Neural Networks


Important Information:

Session Chairs

Dr. Niha Kamal Basha, VIT , India
Dr. Dr. Christo Ananth ,Samarkand State University,Uzbekistan.
Dr. Swarnalatha P, VIT ,India

Important Dates:

Call for paper begins : 08/09/2022
Last date of paper submission : 30/09/2022
Author Notification : 25/10/2022
Early Bird Registration Closes : 31/10/2022
Camera Ready Copy & Copy Right submission : 31/10/2022
Conference Start : 20/01/2023

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Special Session Brochure



Conference Proceeding by

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Important Dates

NOV
15
2022

Registration Closes

SEP
30
2022

Last Date for Paper Submission - Final Extension

OCT
25
2022

Author Notification

OCT
31
2022

Early Bird Registration Closes

OCT
31
2022

Camera Ready Copy & Copy Right Submission

Latest News


AISC Series of Springer Book as proceedings of ICDMAI 2020 is available on Volume 1 - https://link.springer.com/book/10.1007/978-981-15-5616-6 Volume 2 - https://link.springer.com/book/10.1007/978-981-15-5619-7


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