Transfer learning and its extensive appositeness in human activity recognition: A survey

A Ray, MH Kolekar - Expert Systems with Applications, 2024 - Elsevier
In this competitive world, the supervision and monitoring of human resources are primary
and necessary tasks to drive context-aware applications. Advancement in sensor and …

Modified Recurrent Residual Attention U-Net model for MRI-based brain tumor segmentation

AC Yadav, MH Kolekar, MK Zope - Biomedical Signal Processing and …, 2025 - Elsevier
Brain tumors are a leading cause of neurological impairment, often resulting in severe
consequences, including fatality. Timely detection of brain tumors is imperative for effective …

Advancements, challenges, and implications for navigating the autonomous vehicle revolution

MN Hossain, MM Rahman… - Journal of …, 2024 - journal.ump.edu.my
The deployment of self-driving cars has significantly impacted society, offering several
benefits such as better passenger safety, convenience, reduced fuel consumption …

Enhancing Image Contrast: A Novel Approach using Modified Transfer Function and Energy Curve Equalization

G Kumar, A Ray, MH Kolekar - 2024 15th International …, 2024 - ieeexplore.ieee.org
Enhancing image contrast plays a pivotal role in improving the visual perception of low-
contrast images. This paper introduces a novel and advanced method to take this crucial …

Attention Guided Human Fall Detection for Elderly Patient Monitoring

N Aslam, PD Hemrom, MH Kolekar - International Conference on …, 2022 - Springer
Fall has been a significant threat to life if not attended to immediately. Elderly patients have
problems with their motor activities, and patients with Alzheimer's, Dementia, and Autism …

Machine Learning Algorithms for Image Classification: A Comparative Review

BD Shivahare, RR Chandan - COMPUTING TRENDZ, 2022 - journals.smsvaranasi.com
In the realm of computer vision, one of the most important challenges is image
categorization. Its goal is to assign semantic labels to photographs based on a …