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Dr Victor Ikechukwu Agughasi

vidwan id: 169687
Male

Assistant Professor, Department of Computer Science and Engineering
Maharaja Institute of Technology, Mysore

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 15
Books 0
Proceedings 0

Publications

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Scopus

Citations 78
h-index 5

CrossRef

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Citations 122
h-index 4
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Professional Recognition

2016

Gold Medalist and Best Graduating Student of 2016 Batch

Bangalore University

Community & Membership

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Bio

Medical Imaging and Machine Learning

Personal Details

  • Male
  • Assistant Professor , Maharaja Institute of Technology, Mysore
  • Department of Computer Science and Engineering, Maharaja Institute of Technology
Ph.D
University of Mysore 2024
MSc
Bangalore University 2016
Assistant Professor Oct 2023 – Present
Maharaja Institute of Technology, Mysore | Department of Computer Science and Engineering

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Co-Authors (3)

Deepu

Dr Deepu R

Maharaja Institute of Technology, Mysore

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Scholarly Work

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Scholarly Publications

Enhancing Early Breast Cancer Detection with Infrared Thermography: A Comparative Evaluation of Deep Learning and Machine Learning Models

Open Access
Article
Authors: Reem Jalloul ., Chethan Hasigala Krishnappa ., Victor Ikechukwu Agughasi ., Ramez Alkhatib .,

Energy-efficient deep Q-network: reinforcement learning for efficient routing protocol in wireless internet of things

Open Access
Article

Advances in Thermal Imaging: A Convolutional Neural Network Approach for Improved Breast Cancer Diagnosis

Open Access
Conference Paper
Authors: Agughasi Victor Ikechukwu ., Sampoorna Bhimshetty ., Deepu R ., M.V Mala .,

The Superiority of Fine-tuning over Full-training for the Efficient Diagnosis of COPD from CXR Images

Open Access
Article

Advances in Thermal Imaging: A Convolutional Neural Network Approach for Improved Breast Cancer Diagnosis

Open Access
conference proceedings
Authors: Agughasi Victor Ikechukwu ., Sampoorna Bhimshetty ., Deepu R ., M.V Mala .,

Leveraging Transfer Learning for Efficient Diagnosis of COPD Using CXR Images and Explainable AI Techniques

Open Access
Article

Effective Approach for Fine-Tuning Pre-Trained Models for the Extraction of Texts From Source Codes

Open Access
conference proceedings
Authors: D. Shruthi ., H.K. Chethan ., Victor Ikechukwu Agughasi .,

CX-Net: an efficient ensemble semantic deep neural network for ROI identification from chest-x-ray images for COPD diagnosis

Open Access
Article
Authors: Victor Ikechukwu A.;Murali S.