The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 81(1)
Published: Nov. 6, 2024
Language: Английский
The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 81(1)
Published: Nov. 6, 2024
Language: Английский
Computer Science Review, Journal Year: 2025, Volume and Issue: 56, P. 100725 - 100725
Published: Feb. 6, 2025
Language: Английский
Citations
1Current Issues in Tourism, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22
Published: May 7, 2024
Barrage as an emerging type of user-generated review has been adopted by almost all tourism live-streaming platforms. However, few studies have conducted to understand how travel barrage attributes affect intention (TI). This study adopts a mixed method examine the effectiveness content and form reviews in influencing potential tourists' intentions. Two jointly revealed that tourists were more willing adopt central path process content, while perceived trust usefulness played mediating roles. Conversely, peripheral when social presence role. Furthermore, moderating effect opinion leaders on relationship between changing TI was considered. extended previous work online field provided guidance practitioners engage marketing.
Language: Английский
Citations
2Deleted Journal, Journal Year: 2024, Volume and Issue: 20(2), P. 2244 - 2254
Published: April 18, 2024
The use of computer vision technology for our system has taken a huge leap and revolutionized the way in which road safety is managed maintained. This part paper represents key components functionalities such helps enhancing also traffic management. proposed meant to contain algorithms some machine learning techniques. These will help detecting recognizing signs real time video streams. With deep models like convolutional neural networks, can precisely identify various present on roads. major include camera interface capture frames from road, image processing modules color space conversions, binary thresholding, contour detection classification module purpose sign recognition. Deep frameworks TensorFlow OpenCV libraries are used model training In system. nature this allows spontaneous recognition enabling us change conditions. Hence, contributes prevent accidents provide timely warnings drivers. addition, offers potential applications management autonomous driving accurate information, contribute towards more efficient flow reduce congestion Overall, very good impacts efficiency. It shows advancement
Language: Английский
Citations
1Deleted Journal, Journal Year: 2024, Volume and Issue: 20(2), P. 2296 - 2305
Published: April 18, 2024
The population of old age peoples are increasing day by and it will grow up 31% today’s till 2031. In many cases the people prone to fall. So, can help in various aspect using advanced technology. We already know that fall discovery is very much critical part senior care as pose a threat their health. To this challenge, discussion study proposes detection model comprising three crucial phases: Pose Estimation, Fall Detection, Smart Alerting System. Using computer vision similar OpenPose, PoseNet, MoveNet YOLOv7. By models, we directly track act individualities real time identifies incidents grounded abnormal changes posture. When detect, WhatsApp Alert message with detected frame phone call be received Caregiver or family members take urgent actions. case fall, one prevent from severe injuries which could caused due delay mediation. These proposed models enhance safety population.
Language: Английский
Citations
0Scientific Journal of Technology, Journal Year: 2024, Volume and Issue: 6(6), P. 26 - 33
Published: June 21, 2024
With the continuous development of computer technology, embedded real-time software is also developing and improving. In design software, core part, its reasonable application can effectively improve function performance ensure stable reliable operation. At same time, realize operation computers bring convenience to people's daily life work. This paper deeply studies in design. The key technologies methods such as operating system, task scheduling algorithm, mode testing verification method are discussed detail. Combined with specific cases, practice analyzed, including requirements analysis, optimization, resource management fields. analyzes design, provides some reference for related workers.
Language: Английский
Citations
0The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 81(1)
Published: Nov. 6, 2024
Language: Английский
Citations
0