11 citations · 30 across the 12 of their papers we have counts for
12 papers
Advancements in Non-Invasive Neuroimaging: Exploring the Potential of Radar Technology for Brain Imaging and Tumour Detection
Keniel Peart, Indu Bodala, Shelly Vishwakarma
This study investigates radar technology for non-invasive brain imaging and tumour detection, offering an alternative to MRI and CT scans. Using Ansys HFSS to simulate electromagne…
BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction
Ubaid Azam, Imran Razzak, Shelly Vishwakarma +3
Predicting legal judgments with reliable confidence is paramount for responsible legal AI applications. While transformer-based deep neural networks (DNNs) like BERT have demonstra…
From Uncertainty to Trust: Kernel Dropout for AI-Powered Medical Predictions
Ubaid Azam, Imran Razzak, Shelly Vishwakarma +3
AI-driven medical predictions with trustworthy confidence are essential for ensuring the responsible use of AI in healthcare applications. The growing capabilities of AI raise ques…
MDPose: Human Skeletal Motion Reconstruction Using WiFi Micro-Doppler Signatures
Chong Tang, Wenda Li, Shelly Vishwakarma +3
Motion tracking systems based on optical sensors typically often suffer from issues, such as poor lighting conditions, occlusion, limited coverage, and may raise privacy concerns.…
OPERAnet: A Multimodal Activity Recognition Dataset Acquired from Radio Frequency and Vision-based Sensors
Mohammud J. Bocus, Wenda Li, Shelly Vishwakarma +8
This paper presents a comprehensive dataset intended to evaluate passive Human Activity Recognition (HAR) and localization techniques with measurements obtained from synchronized R…
Neural Style Transfer Enhanced Training Support For Human Activity Recognition
Shelly Vishwakarma, Wenda Li, Chong Tang +3
This work presents an application of Integrated sensing and communication (ISAC) system for monitoring human activities directly related to healthcare. Real-time monitoring of huma…
FMNet: Latent Feature-wise Mapping Network for Cleaning up Noisy Micro-Doppler Spectrogram
Chong Tang, Wenda Li, Shelly Vishwakarma +3
Micro-Doppler signatures contain considerable information about target dynamics. However, the radar sensing systems are easily affected by noisy surroundings, resulting in uninterp…
SimHumalator: An Open Source WiFi Based Passive Radar Human Simulator For Activity Recognition
Shelly Vishwakarma, Wenda Li, Chong Tang +3
This work presents a simulation framework to generate human micro-Dopplers in WiFi based passive radar scenarios, wherein we simulate IEEE 802.11g complaint WiFi transmissions usin…
Learning from Natural Noise to Denoise Micro-Doppler Spectrogram
Chong Tang, Wenda Li, Shelly Vishwakarma +3
Micro-Doppler analysis has become increasingly popular in recent years owning to the ability of the technique to enhance classification strategies. Applications include recognising…
Sparsity Based Autoencoders for Denoising Cluttered Radar Signatures
Shobha Sundar Ram, Shelly Vishwakarma, Akanksha Sneh +1
Narrowband and broadband indoor radar images significantly deteriorate in the presence of target dependent and independent static and dynamic clutter arising from walls. A stacked…
Mitigation of Through-Wall Distortions of Frontal Radar Images using Denoising Autoencoders
Shelly Vishwakarma, Shobha Sundar Ram
Radar images of humans and other concealed objects are considerably distorted by attenuation, refraction and multipath clutter in indoor through-wall environments. While several me…
Doppler-Resilient 802.11ad-Based Ultra-Short Range Automotive Joint Radar-Communications System
Gaurav Duggal, Shelly Vishwakarma, Kumar Vijay Mishra +1
We present an ultra-short range IEEE 802.11ad-based automotive joint radar-communications (JRC) framework, wherein we improve the radar's Doppler resilience by incorporating Prouhe…