215 citations · 789 across the 20 of their papers we have counts for
7 papers · 1 filter
Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research
Shreyas Gawde, Shruti Patil, Satish Kumar +3
Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of machinery. Majority of these machines comprise rotating components and are called rota…
Securing AI-based Healthcare Systems using Blockchain Technology: A State-of-the-Art Systematic Literature Review and Future Research Directions
Rucha Shinde, Shruti Patil, Ketan Kotecha +3
Healthcare systems are increasingly incorporating Artificial Intelligence into their systems, but it is not a solution for all difficulties. AI's extraordinary potential is being h…
A Review on Text-Based Emotion Detection -- Techniques, Applications, Datasets, and Future Directions
Sheetal Kusal, Shruti Patil, Jyoti Choudrie +3
Artificial Intelligence (AI) has been used for processing data to make decisions, interact with humans, and understand their feelings and emotions. With the advent of the internet,…
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems
Aboli Marathe, Pushkar Jain, Rahee Walambe +1
Modern applications such as self-driving cars and drones rely heavily upon robust object detection techniques. However, weather corruptions can hinder the object detectability and…
In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles
Aboli Marathe, Rahee Walambe, Ketan Kotecha
Several popular computer vision (CV) datasets, specifically employed for Object Detection (OD) in autonomous driving tasks exhibit biases due to a range of factors including weathe…
Explainable Misinformation Detection Across Multiple Social Media Platforms
Gargi Joshi, Ananya Srivastava, Bhargav Yagnik +6
In this work, the integration of two machine learning approaches, namely domain adaptation and explainable AI, is proposed to address these two issues of generalized detection and…