Restoring haptic feedback remains a major challenge in robot-assisted minimally invasive surgery (RMIS), especially for localizing subsurface tumors and estimating their depth. This paper presents a c...
This study investigates electrical energy conservation opportunities at SABIC Research and Technology Centre, Bangalore, aligning with SABIC’s global sustainability goal of a 15% reduction in energy c...
This paper proposes a novel deep learning model named RTEU-Transformers (Residual Temporal Enhancement Unit) for abstractive text summarization, specifically applied to the Samsum dataset, which consi...
As mental health disorders continue to rise globally and access to specialised care remains a persistent challenge, AI-powered conversational agents have emerged as a credible avenue for early screeni...
Automatic Grammar Error Correction (GEC) is a classic NLP challenge that has been applied to language education, professional writing aid, and cross-lingual communication. Despite considerable progres...
Network intrusion detection systems play a vital role in safeguarding digital infrastructure. Still, significant challenges persist due to the highly imbalanced nature of network traffic and the lack ...
Meaningful public engagement is central to transportation planning, yet agencies face challenges in synthesizing large volumes of unstructured comments from hearings, news media, and social platforms....
Background Postoperative atrial fibrillation (POAF) affects 20 ̶50% of patients undergoing cardiac surgery and is associated with prolonged hospital stays and adverse outcomes. Although several risk f...
Judicial decision-making involves complex reasoning based on legal facts, statutory interpretation, and precedent analysis. Although transformer-based language models have improved the automated analy...
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