Results 51 to 60 of about 150,958 (135)

Abnormality prediction and forecasting of laboratory values from electrocardiogram signals using multimodal deep learning

Scientific Reports
This study investigates the feasibility of using electrocardiogram (ECG) data combined with basic patient metadata to estimate and monitor prompt laboratory abnormalities.
Juan Miguel Lopez Alcaraz, Nils Strodthoff   +1 more
doaj   +1 more source

A Lightweight and High-Precision Passion Fruit YOLO Detection Model for Deployment in Embedded Devices

Sensors
In order to shorten detection times and improve average precision in embedded devices, a lightweight and high-accuracy model is proposed to detect passion fruit in complex environments (e.g., with backlighting, occlusion, overlap, sun, cloud, or rain ...
Qiyan Sun, Pengbo Li, Chentao He, Qiming Song, Jierui Chen, Xiangzeng Kong, Zhicong Luo   +6 more
doaj   +1 more source

(C; C')-Controlled g-Fusion Frames in Hilbert Spaces

Iranian Journal of Mathematical Sciences and Informatics, 2023
Habib shakoory, Reza ahmadi, Gholamreza Rahimlou, Vahid Sadri   +3 more
openaire   +1 more source

Field-deployable lightweight YOLOv8n for real-time detection and counting of Maize seedlings using UAV RGB imagery

Frontiers in Plant Science
The aim of this study is to propose a lightweight YOLOv8n maize seedling detection algorithm that incorporates multi-scale features to address the problems of large number of model parameters and computation, low real-time performance, and small ...
Pengbo Feng, Zhigang Nie, Zhigang Nie, Guang Li, Guang Li   +4 more
doaj   +1 more source

Research on real-time monitoring method of mine personnel protective equipment with improved YOLOv8

Meitan kexue jishu
Wearing personal protective equipment is an important means to ensure the safety of mine personnel. It is an important task of mine safety management to carry out mine personnel protective equipment monitoring.
Lei ZHANG, Zhipeng SUN, Hongjing TAO, Shangkai HAO, Qianru YAN, Xiwei LI   +5 more
doaj   +1 more source

Multi-Strategy Enhancement of YOLOv8n Monitoring Method for Personnel and Vehicles in Mine Air Door Scenarios

Sensors
The mine air door is the primary facility for regulating airflow and controlling the passage of personnel and vehicles. Intelligent monitoring of personnel and vehicles within the mine air door system is a crucial measure to ensure the safety of mine ...
Lei Zhang, Hongjing Tao, Zhipeng Sun, Weixun Yi   +3 more
doaj   +1 more source

YOLO-PowerLite V2: An Enhanced Lightweight Detector for Real-Time Tiny Anomaly Identification on Overhead Transmission Lines in Complex Environments

Remote Sensing
Aiming at the core pain point that in existing object detection models, it is difficult to balance detection accuracy and real-time inference efficiency on edge computing devices in UAV-based intelligent inspection of power transmission lines, this paper
Shuangfeng Wei, Yuhang Cai, Shaobo Zhong, Zheng Lv   +3 more
doaj   +1 more source

MangoStem-YOLOv8n: An improved YOLOv8n for mango and stem detection in natural orchard environments

Smart Agricultural Technology
To address low accuracy of fruiting stem and mango detection and low efficiency of end-side deployment of real-time detection in complex orchard environments, this study reported a real-time detection algorithm for fruiting stem and mango detection with ...
Shengang Diao, Jingan Feng, Bin Zhang, Yuyang Xia, Yang Gu, Dong Li, Wei Fu   +6 more
doaj   +1 more source

YOLO-FCAP: An improved lightweight object detection model based on YOLOv8n for citrus yield prediction in complex environments

Smart Agricultural Technology
In citrus orchard, accurate object detection serves as a critical technology and an essential prerequisite for achieving precise yield prediction.
Tiwei Zeng, Jintao Tong, Xudong Sun, Jiacheng Liu, Xiangguo He, Zhenzhen Guan, Lingfeng Liu, Nan Jiang, Tao wan   +8 more
doaj   +1 more source

A Low-Cost Smart Helmet with Accident Detection and Emergency Response for Bike Riders

Journal of Sensor and Actuator Networks
The high rate of bike commuting around the globe has greatly transformed the mode of transportation in cities, but the high speeds of motorized cycling have contributed to a high rate of serious road trauma.
Muhammad Irfan Minhas, Imran Shah, Yasir Ali, Fawaz Nashmi M Alhusayni   +3 more
doaj   +1 more source