[HTML][HTML] Advances and challenges in drone detection and classification techniques: A state-of-the-art review

U Seidaliyeva, L Ilipbayeva, K Taissariyeva, N Smailov… - Sensors, 2023 - mdpi.com
The fast development of unmanned aerial vehicles (UAVs), commonly known as drones, has
brought a unique set of opportunities and challenges to both the civilian and military sectors …

A comprehensive survey of transformers for computer vision

S Jamil, M Jalil Piran, OJ Kwon - Drones, 2023 - mdpi.com
As a special type of transformer, vision transformers (ViTs) can be used for various computer
vision (CV) applications. Convolutional neural networks (CNNs) have several potential …

An efficient and robust phonocardiography (pcg)-based valvular heart diseases (vhd) detection framework using vision transformer (vit)

S Jamil, AM Roy - Computers in Biology and Medicine, 2023 - Elsevier
Background and objectives: Valvular heart diseases (VHDs) are one of the dominant causes
of cardiovascular abnormalities that have been associated with high mortality rates globally …

Systematic review on civilian drones in safety and security applications

K AL-Dosari, Z Hunaiti, W Balachandran - Drones, 2023 - mdpi.com
The employment of unmanned aerial vehicles, also known as UAVs, is expanding rapidly
across various civil application areas. Some of these domains include real-time tracking, the …

[HTML][HTML] A comprehensive survey of digital twins and federated learning for industrial internet of things (IIoT), internet of vehicles (IoV) and internet of drones (IoD)

S Jamil, MU Rahman, Fawad - Applied System Innovation, 2022 - mdpi.com
As a result of the advancement in the fourth industrial revolution and communication
technology, the use of digital twins (DT) and federated learning (FL) in the industrial Internet …

[HTML][HTML] UAV detection and tracking in urban environments using passive sensors: A survey

X Yan, T Fu, H Lin, F Xuan, Y Huang, Y Cao, H Hu… - Applied Sciences, 2023 - mdpi.com
Unmanned aerial vehicles (UAVs) have gained significant popularity across various
domains, but their proliferation also raises concerns about security, public safety, and …

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 …

[HTML][HTML] Drone model classification using convolutional neural network trained on synthetic data

M Wisniewski, ZA Rana, I Petrunin - Journal of Imaging, 2022 - mdpi.com
We present a convolutional neural network (CNN) that identifies drone models in real-life
videos. The neural network is trained on synthetic images and tested on a real-life dataset of …

SLBAF-Net: Super-Lightweight bimodal adaptive fusion network for UAV detection in low recognition environment

X Cheng, K Geng, Z Wang, J Wang, Y Sun… - Multimedia Tools and …, 2023 - Springer
Unmanned aerial vehicle (UAV) detection has significant research value in the field of
military and civilian applications. However, the traditional object detection algorithms …

[HTML][HTML] Development of an acoustic system for UAV detection

C Dumitrescu, M Minea, IM Costea, I Cosmin Chiva… - Sensors, 2020 - mdpi.com
The purpose of this paper is to investigate the possibility of develo** and using an
intelligent, flexible, and reliable acoustic system, designed to discover, locate, and transmit …