The rapid identification of landslides in mountainous terrain through remote sensing imagery after earthquakes or heavy rainfall is crucial for assessing the severity of the situation and providing timely assistance for post-disaster rescue operations ...
Chang Liu +3 more
core +1 more source
Yolov8-CA-EYHL: A bridge crack detection algorithm based on improved YOLOv8. [PDF]
Zhu X, Chao H, Zhang Y.
europepmc +1 more source
YOLOv8-GR: real time gesture recognition by improving of YOLOv8 algorithm
Gesture recognition is pivotal for enabling intuitive human-computer interaction in resource-constrained environments such as smart homes, wearable systems, and edge computing devices. Although YOLOv8 achieves a good balance between speed and accuracy in
Haitao Meng, Yi Ding, Naixuan Guo
core +1 more source
Benchmarking Visual Detection Tiers for Event-Centric Edge Intelligence in Maritime Disaster Response. [PDF]
Habibullaev S, Choi J.
europepmc +1 more source
Review of Application YOLOv8 in Medical Imaging
Deep learning has revolutionized medical imaging analysis, with YOLOv8 emerging as a promising tool forvarious tasks like lesion detection, organ segmentation and disease classification.
Adi, Dea Zalfa Cahyla +4 more
core
YOLOV8 Kütüphanesi ile Görüntü İşleme ve Mobil Entegrasyon
Günümüzde, mobil cihazların yaygın kullanımıyla birlikte, kullanıcıların kişisel fotoğraf arşivleri giderek genişlemektedir. Bu fotoğraflar, kullanıcıların tercihleri, yaşam tarzları ve geçmiş deneyimleri hakkında zengin bilgiler içermektedir.
Biçek, Emre, Görgülü, Alper
core
OIL: A Closed-Loop Periodic Batch Adaptation Framework for Object Detection on Industrial Variable-Speed Conveyor Lines. [PDF]
Liu X +5 more
europepmc +1 more source
Classification of gestational diabetes mellitus placental histopathological images based on MONAI and improved GAMatrix-YOLOv8. [PDF]
Jiang Z +7 more
europepmc +1 more source
Development of an Artificial Intelligence Platform for Surgical Tool Detection and Phase Recognition in Laparoscopic Distal Gastrectomy. [PDF]
Kim J +11 more
europepmc +1 more source
An offline deep learning model for bovine muzzle identification using the variance of the laplacian, YOLOv8, EfficientNetV2-S, and ArcFace. [PDF]
Khalifa AG, Abdultawab AS.
europepmc +1 more source

