Search Results for author:
Found 6 papers, 1 papers with code
Sensors and Systems for Monitoring Mental Fatigue: A systematic review
Development of sensors and systems that can reliably track mental fatigue can prevent accidents, reduce errors, and help increase workplace productivity.
Performance of ChatGPT on USMLE: Unlocking the Potential of Large Language Models for AI-Assisted Medical Education
Considering the widespread use of ChatGPT and the reliance people place on it, this study determined how reliable ChatGPT can be for answering complex medical and clinical questions.
Screening Autism Spectrum Disorder in childrens using Deep Learning Approach : Evaluating the classification model of YOLOv8 by comparing with other models
By employing YoloV8, a deep learning technique, on a dataset of Kaggle, we achieved exceptional results.
Performance Analysis and Evaluation of Cloud Vision Emotion APIs
The performance was evaluated in each class of emotions using prediction accuracy.
Towards blind user's indoor navigation: a comparative study of beacons and decawave for indoor accurate location
To build a support system for navigation for visually impaired people, in this paper we present a comparison of indoor localization and navigation system, which performs continuous and real-time processing using commercially available systems (Beacons and Decawave) under the same experimental condition for the performance analysis.
Student Engagement Detection Using Emotion Analysis, Eye Tracking and Head Movement with Machine Learning
The system was tested in a typical e-learning scenario, and the results show that it correctly identifies each period of time where students were "very engaged", "nominally engaged" and "not engaged at all".
