[HTML][HTML] Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous …
The integration of thermal imaging data with multimodal large language models (MLLMs)
offers promising advancements for enhancing the safety and functionality of autonomous …
offers promising advancements for enhancing the safety and functionality of autonomous …
Transit Pulse: Utilizing Social Media as a Source for Customer Feedback and Information Extraction with Large Language Model
Users of the transit system flood social networks daily with messages that contain valuable
insights crucial for improving service quality. These posts help transit agencies quickly …
insights crucial for improving service quality. These posts help transit agencies quickly …
[HTML][HTML] From Detection to Action: A Multimodal AI Framework for Traffic Incident Response
With the rising incidence of traffic accidents and growing environmental concerns, the
demand for advanced systems to ensure traffic and environmental safety has become …
demand for advanced systems to ensure traffic and environmental safety has become …
Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity
AA Najjar, HI Ashqar, OA Darwish… - arXiv preprint arXiv …, 2025 - arxiv.org
This study seeks to enhance academic integrity by providing tools to detect AI-generated
content in student work using advanced technologies. The findings promote transparency …
content in student work using advanced technologies. The findings promote transparency …
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm
This study introduces a novel approach for traffic control systems by using Large Language
Models (LLMs) as traffic controllers. The study utilizes their logical reasoning, scene …
Models (LLMs) as traffic controllers. The study utilizes their logical reasoning, scene …