Vijayalakshmi G. V. Mahesh

Vijayalakshmi G. V. MaheshVijayalakshmi G. V. Mahesh received her BE in Electronics and Communication Engineering from Bangalore University, India in 1999, and M.Tech in Digital Communication and Networking from Visvesvaraya Technological University in 2005 and the Ph.D. degree from the Vellore Institute of Technology, Vellore, India. Currently she is working as an Associate Professor at BMS Institute of Technology and Management, Bangalore, India. She has been in academics for over 19 years and has published her research in various reputed journals and conferences. Dr. Vijayalakshmi is serving as academic editor for various journals. She has edited and published two books " Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments" and " Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks" with IGI Global publishers. Her research interests include Machine Learning, Image Processing, Pattern Recognition and Deep learning, Affective computing.

Publications

Machine Learning-Based Prediction Analysis of Unlawful Activities to Aid Law Enforcement
Machine Learning-Based Prediction Analysis of Unlawful Activities to Aid Law Enforcement
Vijayalakshmi G. V. Mahesh, Shilpa Hiremath, Chandra Prabha R.. © 2024. 18 pages.
One of our society's most significant and pervasive issues is crime. Numerous crimes are perpetrated often each day. The development of policing strategies and the...
Segmentation of Optic Disc From Fundus Image Based on Morphology and SVM Classifier
Segmentation of Optic Disc From Fundus Image Based on Morphology and SVM Classifier
Jiamin Luo, Alex Noel Joseph Raj, Nersisson Ruban, Vijayalakshmi G. V. Mahesh. © 2023. 29 pages.
Color fundus image is the most basic way to diagnose diabetic retinopathy, papillary edema, and glaucoma. In particular, since observing the morphological changes of the optic...
Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks
Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks
Alex Noel Joseph Raj, Vijayalakshmi G. V. Mahesh, Ruban Nerssison, Ang Yu, Jennifer Gentry. © 2022. 273 pages.
It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities...
Implementation of Machine Learning-Aided Speech Analysis for Speaker Accent Identification Applied to Audio Forensics
Implementation of Machine Learning-Aided Speech Analysis for Speaker Accent Identification Applied to Audio Forensics
Vijayalakshmi G. V. Mahesh, Alex Noel Joseph Raj, Ruban Nersisson. © 2022. 21 pages.
Accent recognition as a subset of speech recognition is crucial in audio forensics as it provides the authenticity of the speech that can be presented to the judicature as...
Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments
Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments
Alex Noel Joseph Raj, Vijayalakshmi G. V. Mahesh, Ruban Nersisson. © 2021. 381 pages.
Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential...
Segmentation of Optic Disc From Fundus Image Based on Morphology and SVM Classifier
Segmentation of Optic Disc From Fundus Image Based on Morphology and SVM Classifier
Jiamin Luo, Alex Noel Joseph Raj, Nersisson Ruban, Vijayalakshmi G. V. Mahesh. © 2021. 29 pages.
Color fundus image is the most basic way to diagnose diabetic retinopathy, papillary edema, and glaucoma. In particular, since observing the morphological changes of the optic...
Finding Facial Emotions From the Clutter Scenes Using Zernike Moments-Based Convolutional Neural Networks
Finding Facial Emotions From the Clutter Scenes Using Zernike Moments-Based Convolutional Neural Networks
Wencan Zhong, Vijayalakshmi G. V. Mahesh, Alex Noel Joseph Raj, Nersisson Ruban. © 2021. 25 pages.
Finding faces in the clutter scenes is a challenging task in automatic face recognition systems as facial images are subjected to changes in the illumination, facial expression...