activity
20182022
most citedGas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion

116 citations · 340 across the 6 of their papers we have counts for

collaborators

9 papers

eess.IV20221 cited

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…

eess.SP202148 cited

Incremental learning of LSTM framework for sensor fusion in attitude estimation

Parag Narkhede, Rahee Walambe, Shashi Poddar +1

This paper presents a novel method for attitude estimation of an object in 3D space by incremental learning of the Long-Short Term Memory (LSTM) network. Gyroscope, accelerometer,…

eess.SY202164 cited

Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation

Parag Narkhede, Shashi Poddar, Rahee Walambe +2

Attitude estimation is the process of computing the orientation angles of an object with respect to a fixed frame of reference. Gyroscope, accelerometer, and magnetometer are some…

eess.SP2021116 cited

Gas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion

Parag Narkhede, Rahee Walambe, Shruti Mandaokar +3

With the rapid industrialization and technological advancements, innovative engineering technologies which are cost effective, faster and easier to implement are essential. One suc…

cs.AI202164 cited

Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media

Hema Karande, Rahee Walambe, Victor Benjamin +2

The evolution of electronic media is a mixed blessing. Due to the easy access, low cost, and faster reach of the information, people search out and devour news from online social n…

cs.AI2021

A Review on Explainability in Multimodal Deep Neural Nets

Gargi Joshi, Rahee Walambe, Ketan Kotecha

Artificial Intelligence techniques powered by deep neural nets have achieved much success in several application domains, most significantly and notably in the Computer Vision appl…