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Profile Details
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USD 30 /hr
Hire Dr. Akshya Kumar S.
India
USD 30 /hr

Image Processing, Computer vision and Deep learning

Profile Summary
Subject Matter Expertise
Services
Research Scientific and Technical Research
Work Experience

Affiliated Assistant Professor

GIET University

August 2008 - Present

Education

Doctor of Philosophy

GIET University

January 2021 - October 2024

Certifications

  • MOOC

    NPTEL

    July 2015 - Present

Publications
JOURNAL ARTICLE
Akshya Kumar Sahoo, Priyadarsan Parida, Manoj Kumar Panda, K. Muralibabu, Ashima Sindhu Mohanty (2024). MultiTumor Analyzer (MTA-20–55): A network for efficient classification of detected brain tumors from MRI images . Biocybernetics and Biomedical Engineering.
BISHWAJIT DEY, Srikant Misra, Tapas Chhualsingh, Akshya Kumar Sahoo, Dr. Arvind R. Singh (2024). A hybrid metaheuristic approach to solve grid centric cleaner economic energy management of microgrid systems . Journal of Cleaner Production.
Akshya Kumar Sahoo, Dr. Priyadarsan Parida, K. Muralibabu (2024). Hybrid deep neural network with clustering algorithms for effective gliomas segmentation . International Journal of System Assurance Engineering and Management.
Akshya Kumar Sahoo, Priyadarsan Parida, K. Muralibabu, sonali dash (2023). Efficient simultaneous segmentation and classification of brain tumors from MRI scans using deep learning . Biocybernetics and Biomedical Engineering.
Akshya Kumar Sahoo, Dr. Priyadarsan Parida, K Muralibabu, Sonali Dash (2023). An improved DNN with FFCM method for multimodal brain tumor segmentation . Intelligent Systems with Applications.
Akshya Kumar Sahoo, Priyadarsan Parida (2021). Automatic clustering based approach for brain tumor extraction . Journal of Physics: Conference Series.
Mohanty, A.S., Patra, K.C., Sahoo, A.K.(2019). Detection of human brain activities in a normal human being . International Journal of Innovative Technology and Exploring Engineering. 8. (10). p. 4004-4007.
CONFERENCE PAPER
Akshya Kumar Sahoo, Priyadarsan Parida, K Muralibabu (2023). Effective Use of Clustering Techniques for Brain Tumor Segmentation . 2023 IEEE 3rd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC).
Sahoo, A.K., Rudra, S., Mohanty, A.S.(2016). Artificial intelligence based electric grid operation enabled with data encryption . International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016. p. 275-280.