About
Contact & Profiles
A5102843911
Research Areas
- Remote Sensing in Agriculture
- Advanced Vision and Imaging
- Remote-Sensing Image Classification
- Smart Agriculture and AI
- Advanced Image and Video Retrieval Techniques
- Digitalization and Economic Development in Agriculture
- Video Surveillance and Tracking Methods
- Infrared Target Detection Methodologies
COMSATS University Islamabad
2024
We propose a novel deep learning architecture, called XcelNet17, for image classification in remote sensing. Comprising fourteen convolutional and three fully connected layers, XcelNet17 outperforms several benchmark architectures available the literature terms of accuracy. Additionally, we present BA-ABC, new hybrid feature selection algorithm that inherits strengths Bat Algorithm (BA) Artificial Bee Colony (ABC) algorithm. Together these contributions significantly enhance performance...
10.1109/access.2024.3422368
article
EN
cc-by-nc-nd
IEEE Access
2024-01-01
10.1109/access.2024.3471647
article
EN
cc-by-nc-nd
IEEE Access
2024-01-01
10.1109/access.2024.3519341
article
EN
cc-by-nc-nd
IEEE Access
2024-01-01
Coming Soon ...