4 citations · 12 across the 14 of their papers we have counts for
14 papers
Explainable Anomaly Detection: Counterfactual driven What-If Analysis
Logan Cummins, Alexander Sommers, Sudip Mittal +4
There exists three main areas of study inside of the field of predictive maintenance: anomaly detection, fault diagnosis, and remaining useful life prediction. Notably, anomaly det…
A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics
Ivan A. Fernandez, Subash Neupane, Trisha Chakraborty +5
Industry 4.0 has witnessed the rise of complex robots fueled by the integration of Artificial Intelligence/Machine Learning (AI/ML) and Digital Twin (DT) technologies. While these…
A Survey of Transformer Enabled Time Series Synthesis
Alexander Sommers, Logan Cummins, Sudip Mittal +4
Generative AI has received much attention in the image and language domains, with the transformer neural network continuing to dominate the state of the art. Application of these m…
Generating Synthetic Time Series Data for Cyber-Physical Systems
Alexander Sommers, Somayeh Bakhtiari Ramezani, Logan Cummins +4
Data augmentation is an important facilitator of deep learning applications in the time series domain. A gap is identified in the literature, demonstrating sparse exploration of th…
MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses using Large Language Models
Subash Neupane, Shaswata Mitra, Sudip Mittal +3
Large Language Models (LLMs) have shown impressive capabilities in generating human-like responses. However, their lack of domain-specific knowledge limits their applicability in h…
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System
Majid Memari, Khaled R. Ahmed, Shahram Rahimi +1
This research addresses a critical challenge in the field of generative models, particularly in the generation and evaluation of synthetic images. Given the inherent complexity of…