5 citations · 6 across the 7 of their papers we have counts for
7 papers · 1 filter
AIRO: A Streaming-Based Machine Learning Framework for Threat Detection and Security in Industrial Internet of Things
Raima Deb, Pranav M Pawar, Mithun Mukherjee +2
Modern Industrial Internet of Things (IIoT) im- plementations now connect edge gateways, cloud dashboards and business applications. This improves visibility and remote monitoring.…
A Contrastive Learning Framework for Label-Efficient Gastric Cancer Detection and Intra-Tumour Progression Analysis
Aleakhya Pandeti, Pranav M. Pawar, Mithun Mukherjee +1
Gastric Cancer is among the leading causes of cancer-related mortality worldwide. The complexity and variability of histopathological images pose significant challenges for both pa…
Digital Privacy in IoT: Exploring Challenges, Approaches and Open Issues
Shini Girija, Pranav M. Pawar, Raja Muthalagu +1
Privacy has always been a critical issue in the digital era, particularly with the increasing use of Internet of Things (IoT) devices. As the IoT continues to transform industries…
Deep learning based intelligent IDS for Large-scale IoT networks
Isha Andrade, Shalaka S Mahadik, Mithun Mukherjee +2
The proliferation of large-scale IoT networks has been both a blessing and a curse. Not only has it revolutionized the way organizations operate by increasing the efficiency of aut…
An Interpretable Machine Learning Framework for Non-Small Cell Lung Cancer Drug Response Analysis
Ann Rachel, Pranav M Pawar, Mithun Mukharjee +2
Lung cancer is a condition where there is abnormal growth of malignant cells that spread in an uncontrollable fashion in the lungs. Some common treatment strategies are surgery, ch…
XAI and Few-shot-based Hybrid Classification Model for Plant Leaf Disease Prognosis
Diana Susan Joseph, Pranav M Pawar, Raja Muthalagu +1
Performing a timely and accurate identification of crop diseases is vital to maintain agricultural productivity and food security. The current work presents a hybrid few-shot learn…
Multi-model approach for autonomous driving: A comprehensive study on traffic sign-, vehicle- and lane detection and behavioral cloning
Kanishkha Jaisankar, Pranav M. Pawar, Diana Susan Joseph +4
Deep learning and computer vision techniques have become increasingly important in the development of self-driving cars. These techniques play a crucial role in enabling self-drivi…