Results 141 to 150 of about 12,214 (239)

MTD-YOLOv5: Enhancing marine target detection with multi-scale feature fusion in YOLOv5 model

Underwater light attenuation leads to decreased image contrast. This reduction in contrast subsequently decreases target visibility. Additionally, marine target detection is challenging due to multi-scale problems from varying target-to-device distances,
Huang Shen-hao, W.E.I. Lian-suo, Ma Long-yu   +2 more
core   +1 more source

Classification and Counting of Mycobacterium Tuberculosis using YOLOv5

Background: Indonesia is a nation with the third-highest number of tuberculosis (TB) cases worldwide, after China and India. TB detection has been facilitated using YOLOv5 deep learning framework despite previous studies not having incorporated ...
Nia Saurina, Riries Rulaningtyas, Aryati Aryati, Nur Chamidah   +3 more
core   +1 more source

PED-AI: Pedestrian Detection for Autonomous Vehicles using YOLOv5

Pedestrian detection is crucial for autonomous vehicles, surveillance, and pedestrian safety. This abstract introduces a novel pedestrian detection method using the YOLOv5 algorithm, known for its real-time object detection prowess.
Lois Fernando Ilustre, Yuneza Claire Mortos, Jennalyn Mindoro, Mon Arjay Malbog, Rufo Jr. Marasigan   +4 more
core   +1 more source

NL-YOLOv5: a model with a larger receptive field and the ability to globally acquire features. [PDF]

Front Neurorobot
Li Z, Liu J, Zhuo Z, Chen L, Zeng X, Li D, Zhou Y, Huang C.   +7 more
europepmc   +1 more source

Design and development of an SDR-based system for real-time detection and characterization of drone RF signatures. [PDF]

Sci Rep
Saber M, Aloui R, Delleji T, Hamdi B, Mhatli S, Slimeni F, LLamas-Garro I, Siala A.   +7 more
europepmc   +1 more source

DeepTrackSecure: an integrated classification-detection system with predictive risk analytics for proactive railway safety management. [PDF]

Front Artif Intell
Balakrishnan P, Leema AA, Suresh Nagarajan S, Rashmika KS, Rahul Kumar J.   +4 more
europepmc   +1 more source

SAB-YOLOv5: An Improved YOLOv5 Model for Permanent Magnetic Ferrite Magnet Rotor Detection

Surface defects on the permanent magnetic ferrite magnet rotor are the primary cause for the decline in performance and safety hazards in permanent magnet motors. Machine-vision methods offer the possibility to identify defects automatically. In response
Qi Li, Wenhua Jiao, Bo Yu, Shiyang Zhang, Yongjun Zhu   +4 more
core   +1 more source

A physic-guided YOLO framework for pavement deformation distress detection. [PDF]

Sci Rep
Sheikholeslami D, Golroo A, Khodaii A, Daneshvar A, Moghadas Nejad F.   +4 more
europepmc   +1 more source

ECTR-YOLOv5:Pedestrian detection in dense scenes based on improved YOLOv5

Abstract Pedestrian detection technology has reached a relatively mature level in sparse environments. However, accurate pedestrian detection in packed scenes still presents challenges owing to factors such as occlusion, high crowd density, and scale changes.
yiheng wu, laichun li, taihui liu, wei meng, chenwei wu   +4 more
openaire   +1 more source

UAV-based RGB and multispectral mango leaf disease detection with benchmarking of YOLOv5 to YOLOv10 and SeqOpt-optimised YOLOv8 for real-time edge deployment. [PDF]

PLoS One
Karthik RP, Murugesan G, Ballaji HK, Anitha J.   +3 more
europepmc   +1 more source