A Hybrid Multi-Person Fall Detection Scheme Based on Optimized YOLO and ST-GCN. [PDF]
Human falls are a serious health issue for elderly and disabled people living alone. Studies have shown that if fallers could be helped immediately after a fall, it would greatly reduce their risk of death and the percentage of them requiring long-term ...
Ge, Xianlei, Liu, Lei, Sun, Yeguo
core +1 more source
Improved Deep Learning Model based Real-Time Recognition of Arabic Sign Language [PDF]
Sign Language (SL) recognition plays a crucial role in facilitating communication and inclusivity for the hearing-impaired community. In this paper, we introduce a novel approach that incorporates two distinct activation functions—Exponential Linear Unit
Alshewimy, Mahmoud A. M. +2 more
core +1 more source
An application of object detection in ship navigation [PDF]
Dimitrelos, Ioannis +1 more
core +1 more source
State estimation of multi-sensor systems based on error-state Kalman. [PDF]
Liu Y, Liu P, Shi Y.
europepmc +1 more source
Seafood Object Detection Method Based on Improved YOLOv5s. [PDF]
Zhu N, Liu Z, Wang Z, Xie Z.
europepmc +1 more source
AI in the Field: A Review of Deep Learning Methods for Weed Identification in Wheat Crops [PDF]
Weed infestation is a major constraint in wheat production, causing yield losses and higher herbicide dependence. Traditional control methods often lack precision, highlighting the need for intelligent, sustainable solutions.
Muhammad Abubakar Siddique +4 more
core +1 more source
Attention-guided YOLOv5s-SDF model for accurate detection of strip steel surface defects. [PDF]
Liu K, Chang X, Ma H, Lv L, Chen H.
europepmc +1 more source
Development of a federated learning system for automatic detection of gastro-intestinal tract polyps from endoscopic images on an IoT platform [PDF]
openLa tempestiva rilevazione dei polipi del tratto gastro-intestinale è di fondamentale importanza per la prevenzione del cancro colon-rettale. Le tecniche endoscopiche attuali presentano limitazioni in termini di accuratezza e efficienza della ...
BRUSADIN, NICCOLÒ
core
Robustness analysis of YOLO and faster R-CNN for object detection in realistic weather scenarios with noise augmentation. [PDF]
Gholinavaz S, Saeedi N, Gharehveran SS.
europepmc +1 more source
Real-time detection method for Litchi diseases and pests based on improved YOLOv5s. [PDF]
Ma X +5 more
europepmc +1 more source

