Zobrazeno 1 - 10
of 2 344
pro vyhledávání: '"Behavior recognition"'
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2024, Vol. 17, Issue 4, pp. 869-889.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-07-2024-0317
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Stroke is the prevalent cerebrovascular disease characterized by significant incidence and disability rates. To enhance the early perceive and detection of potential stroke patients, the early stroke behavior detection based on improved Vide
Externí odkaz:
https://doaj.org/article/a8d9ee27e37b4e74bbaef1675aef5dd3
Autor:
Jifeng LU, Chaoyu YANG
Publikováno v:
Meikuang Anquan, Vol 55, Iss 11, Pp 250-256 (2024)
A lightweight miner illegal behavior intelligent detection algorithm based on M3CFC-YOLOv7-tiny is proposed to address the three challenges of deploying lightweight equipment in coal mines, low recognition precision in complex environment, and imbala
Externí odkaz:
https://doaj.org/article/526b01653c0c4b158e3d0af62737c826
Autor:
Zhang Dawei
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 142-6 (2024)
In the process of behavior recognition, the recognition operation may be carried out in various environments such as sunny, cloudy, and night. Since traditional recognition algorithms are judged by identifying the pixels of the image, the intensity o
Externí odkaz:
https://doaj.org/article/c44ceb3b30eb49b3815e68e6b115f894
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 7, Pp 55-65 (2024)
This paper is dedicated to exploring the practical implementation of deep learning and Internet of Things (IoT) technology within systems designed for recognizing human motion behavior. It places a particular emphasis on evaluating performance in com
Externí odkaz:
https://doaj.org/article/d47b8b17540b494e91a8770ae9818979
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract A new video based multi behavior dataset for cows, CBVD-5, is introduced in this paper. The dataset includes five cow behaviors: standing, lying down, foraging,rumination and drinking. The dataset comprises 107 cows from the entire barn, mai
Externí odkaz:
https://doaj.org/article/c23970384bdd4b8bb307f8f244e54619
Publikováno v:
Electronic Research Archive, Vol 32, Iss 7, Pp 4321-4339 (2024)
Traditional predictive models, often used in simpler settings, face issues like high latency and computational demands, especially in complex real-world environments. Recent progress in deep learning has advanced spatiotemporal prediction research, y
Externí odkaz:
https://doaj.org/article/88c88d45e4f44098bbc7f87d36e9e662
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol 12, Iss 1 (2024)
Abnormal or violent behaviour by individuals with mental disorders presents significant risks to public safety, necessitating advanced systems capable of detecting such behaviours in real time. Traditional single-sensing methods for human activity re
Externí odkaz:
https://doaj.org/article/f384f3d24b8c4e1482c93a56451ae531
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100539- (2024)
Technological advancements have revolutionized livestock farming, notably in health monitoring. Traditional methods, which have been criticized for subjectivity and treatment delays, can be replaced with efficient health monitoring systems, thereby r
Externí odkaz:
https://doaj.org/article/8b50e000f4a74ef0893655450f74195a
Publikováno v:
Poultry Science, Vol 103, Iss 11, Pp 104122- (2024)
ABSTRACT: Automatically identifying abnormal behaviors of caged laying hens in a thermal environment improves manual management efficiency. It also provides reference indicators for breeding heat-tolerant hens. In this study, we propose a deep learni
Externí odkaz:
https://doaj.org/article/33a6334b1f4c4409af7eb8dc035d590c