Distinguishing malicious drones using vision transformer

S Jamil, MS Abbas, AM Roy - AI, 2022 - mdpi.com
Drones are commonly used in numerous applications, such as surveillance, navigation,
spraying pesticides in autonomous agricultural systems, various military services, etc., due …

Colour and texture descriptors for visual recognition: A historical overview

F Bianconi, A Fernández, F Smeraldi, G Pascoletti - Journal of Imaging, 2021 - mdpi.com
Colour and texture are two perceptual stimuli that determine, to a great extent, the
appearance of objects, materials and scenes. The ability to process texture and colour is a …

[HTML][HTML] Deep learning in computed tomography pulmonary angiography imaging: A dual-pronged approach for pulmonary embolism detection

F Bushra, MEH Chowdhury, R Sarmun, S Kabir… - Expert Systems with …, 2024 - Elsevier
The increasing reliance on Computed Tomography Pulmonary Angiography (CTPA) for
Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved …

Fractured elbow classification using hand-crafted and deep feature fusion and selection based on whale optimization approach

S Malik, J Amin, M Sharif, M Yasmin, S Kadry, S Anjum - Mathematics, 2022 - mdpi.com
The fracture of the elbow is common in human beings. The complex structure of the elbow,
including its irregular shape, border, etc., makes it difficult to correctly recognize elbow …

Fine-Grained and Multiple Classification for Alzheimer's Disease With Wavelet Convolution Unit Network

J Wen, Y Li, M Fang, L Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we propose a novel wavelet convolution unit for the image-oriented neural
network to integrate wavelet analysis with a vanilla convolution operator to extract deep …

An improved faster RCNN-based weld ultrasonic atlas defect detection method

C Chen, S Wang, S Huang - Measurement and control, 2023 - journals.sagepub.com
In view of the complex multi-scale target detection environment of ultrasonic atlas of weld
defect and the poor detection performance of existing algorithms for the multiple small target …

Enhancing X-ray-Based Wrist Fracture Diagnosis Using HyperColumn-Convolutional Block Attention Module

J Oh, S Hwang, J Lee - Diagnostics, 2023 - mdpi.com
Fractures affect nearly 9.45% of the South Korean population, with radiography being the
primary diagnostic tool. This research employs a machine-learning methodology that …

CB‐HRNet: A Class‐Balanced High‐Resolution Network for the evaluation of endoscopic activity in patients with ulcerative colitis

G Wang, S Zhang, J Li, K Zhao, Q Ding… - Clinical and …, 2023 - Wiley Online Library
Endoscopic evaluation is the key to the management of ulcerative colitis (UC). However,
there is interobserver variability in interpreting endoscopic images among …

Velocity Estimations in Blood Microflows via Machine Learning Symmetries

G Alfonso Perez, JV Colchero Paetz - Symmetry, 2024 - mdpi.com
Improving velocity forecasts of blood microflows could be useful in biomedical applications.
We focus on estimating the velocity of the blood in capillaries. Modeling blood microflow in …

Artificial intelligence model for analyzing colonic endoscopy images to detect changes associated with irritable bowel syndrome

K Tabata, H Mihara, S Nanjo, I Motoo, T Ando… - PLOS digital …, 2023 - journals.plos.org
IBS is not considered to be an organic disease and usually shows no abnormality on lower
gastrointestinal endoscopy, although biofilm formation, dysbiosis, and histological …