Tech Xplore

Detection of concealed explosives using terahertz spectral imaging and deep learning

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
IEEE

Herbguard: An Ensemble Deep Learning Framework With Efficientnet and Vision Transformers for Fine-Grained Classification of Medicinal and Poisonous Plants

Abstract: Classifying whether a plant is herbal or poisonous is a significant challenge for trekkers, hikers, and nature enthusiasts, particularly in remote areas where several unfamiliar plant ...
Frontiers

Deep learning–based approaches for weed detection in crops

Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.
Frontiers

Evaluation of deep learning tools in medical diagnosis and treatment of cancer: research analysis of clinical and randomized clinical trials

Department of Biotechnology, School of Arts and Sciences, American University of Ras Al Khaimah, Ras Al Khaimah, United Arab Emirates Artificial Intelligence and machine learning tools have brought a ...
IEEE

A Lightweight Spatial–Spectral Deformable CNN for UAV Hyperspectral Image Classification

Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...