Deep Learning Closes Technology Gap in Tart Cherry Counting
When it comes to counting tart cherries and estimating yield, USU researchers are adopting YOLO: You Only Look Once.YOLO is...
deep
Research and application of deep learning object detection methods for forest fire smoke recognition
Evaluation and analysis of loss functionsIn object detection tasks, model performance is typically assessed through the comprehensive optimization of multiple...
Deep learning-based multi-criteria recommender system for technology-enhanced learning
This section presents a conceptual summary of the proposed approach. It discusses the dataset used, the experimental framework of the...
Gated recurrent deep learning approaches to revolutionizing English language learning for personalized instruction and effective instruction
The gated recurrent neural network (GRNN-ELL) model is a tailored training corpus designed for English language learners, enhancing recognition through...
Exploring the categories of students’ interest and their relationships with deep learning in technology supported environments
Harackiewicz, J. M., Smith, J. L. & Priniski, S. J. Interest matters: The importance of promoting interest in education. Policy...
Improvement of flipped classroom teaching in colleges and universities based on virtual reality assisted by deep learning
Datasets collectionBefore the training and evaluation of VR-Flipped model, it is necessary to collect multimodal teaching materials such as text,...
