Search Results for author:
Found 6 papers, 1 papers with code
Real-time Strawberry Detection Based on Improved YOLOv5s Architecture for Robotic Harvesting in open-field environment
This study proposed a YOLOv5-based custom object detection model to detect strawberries in an outdoor environment.
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.
Machine Vision System for Early-stage Apple Flowers and Flower Clusters Detection for Precision Thinning and Pollination
Early-stage identification of fruit flowers that are in both opened and unopened condition in an orchard environment is significant information to perform crop load management operations such as flower thinning and pollination using automated and robotic platforms.
Performance Analysis and Evaluation of Cloud Vision Emotion APIs
The performance was evaluated in each class of emotions using prediction accuracy.
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".
