Content oriented 3D-CNN sequence learning architecture for academic activities recognition using a realistic CAD dataset
Abstract In computer vision, video analytic researchers have been developing techniques for human activity recognition in several application domains. Academic institutions are in possession of rich video repository generated by the surveillance system in respective campuses. One major requirement i...
Saved in:
| Main Authors: | Muhammad Wasim, Imran Ahmed, Naveed Abbas, Tanzila Saba, Faten S. Alamri, Alex Elyassih, Amjad Rehman |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-07620-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Incorporating Attention Mechanism Into CNN-BiGRU Classifier for HAR
by: Ohoud Nafea, et al.
Published: (2024-01-01) -
Using Deep Learning (CNN, RNN, LSTM, GRU) methods for the prediction of Protein Secondary Structure
by: Ezgi Çakmak, et al.
Published: (2022-06-01) -
Enhanced wheat yield prediction through integrated climate and satellite data using advanced AI techniques
by: Muhamad Ashfaq, et al.
Published: (2025-05-01) -
A New Model Design for Combating COVID -19 Pandemic Based on SVM and CNN Approaches
by: Sura Monther Alnedawe, et al.
Published: (2023-08-01) -
Enhancing intrusion detection systems: Innovative deep learning approaches using CNN, RNN, DBN and autoencoders for robust network security
by: Yakub HOSSAIN, et al.
Published: (2025-03-01)