Synthetic Dataset Generation Method for Object Detection by Ningning Zhou, Tong Li

Get full text

A Computable Phenotype Algorithm for Postvaccination Myocarditis/Pericarditis Detection Using Real-World Data: Validation Study by Matthew Deady, Raymond Duncan, Matthew Sonesen, Renier Estiandan, Kelly Stimpert, Sylvia Cho, Jeffrey Beers, Brian Goodness, Lance Daniel Jones, Richard Forshee, Steven A Anderson, Hussein Ezzeldin

“…Using the fast healthcare interoperability resources standard for secure data transmission, we implemented a computable phenotype algorithm on a new health care system. …”
Get full text

AADL architecture model construction based on FACE mode by LYU Guangzhe, YU Chunhai, KANG Kai, MA Chunyan, LIN Wei

Get full text

Feasibility of YOLOX computer model-based assessment of knee function compared with manual assessment for people with severe knee osteoarthritis by Tao Yang, Jie Zhao, Ben Wang, Li Wang, Hengzhe Bao, Bing Li, Wen Luo, Huiwen Zhao, Jun Liu

“…Methods This study consisted of two phases: (1) developing an automatic knee joint action recognition and classification system on the basis of improved YOLOX and (2) analyzing the feasibility of assessment by the software system and doctors, identifying the knee joint function of patients, and determining the accuracy of the software system. …”
Get full text

WiCNNAct: Wi-Fi-Based Human Activity Recognition Utilizing Deep Learning on the Edge Computing Devices by Venkata Raghava Shashank Viswanathuni, Rakesh Reddy Yakkati, Sreenivasa Reddy Yeduri, Linga Reddy Cenkeramaddi

“…Nowadays, human activity recognition plays an essential role in the application of human-computer interaction. Comprehensive systems, however, mostly rely on wearables, video cameras, and ambient sensors, which might be expensive and difficult to deploy or cause privacy issues. …”
Get full text

Automated Control Systems in Greenhouses by L. P. Skripko, A. A. Skripko

“…The adjustment can be carried out remotely through a computer connected to the controller. The automatic operating mode is provided by sensors and a controller with electronic control circuits, which ensure that the actuators operate in the required mode.Conclusion. …”
Get full text

An entire fruit surface imaging system with the support of a mirror system and a flipping mechanism by Nhut Thanh Tran, Minh Thuan Truong, Cao Tan Toi Huynh, Quoc Cong Pham, Chanh Nghiem Nguyen, Chi Ngon Nguyen

“… Computer vision is considered a useful tool for evaluating the external quality of fruits. …”
Get full text

An entire fruit surface imaging system with the support of a mirror system and a flipping mechanism by Nhut Thanh Tran, Minh Thuan Truong, Cao Tan Toi Huynh, Quoc Cong Pham, Chanh Nghiem Nguyen, Chi Ngon Nguyen

“… Computer vision is considered a useful tool for evaluating the external quality of fruits. …”
Get full text

Single-Scene SAR Image Data Augmentation Based on SBR and GAN for Target Recognition by Shangchen Feng, Xikai Fu, Yanlin Feng, Xiaolei Lv

Get full text

Remote Farm Monitoring and Irrigation System by Zena Faysal, Ghassan Mohammed

Get full text

VoiceTalk: A No-Code Approach for Creating Voice-Controlled Smart Home Applications by Yun-Wei Lin, Yi-Bing Lin, Yi-Feng Wu, Pei-Hsuan Shen

Get full text

Experience with artificial intelligence algorithms for the diagnosis of vertebral compression fractures based on computed tomography: from testing to practical evaluation by Zlata R. Artyukova, Alexey V. Petraikin, Nikita D. Kudryavtsev, Fedor A. Petryaykin, Dmitry S. Semenov, Daria E. Sharova, Zhanna E. Belaya, Anton V. Vladzimirskyy, Yuriy A. Vasilev

“…CONCLUSION: Artificial intelligence algorithms for the automatic diagnosis of vertebral compression fractures have been tested, demonstrating the high quality of their operation. artificial intelligence algorithms can be applied as a supplementary tool in the medical decision support system.…”
Get full text

Application of Traffic Cone Target Detection Algorithm Based on Improved YOLOv5 by Mingwu Wang, Dan Qu, Zedong Wu, Ao Li, Nan Wang, Xinming Zhang

“…The system used the lightweight shuffle Net network as a backbone for feature extraction, replaced convolutional layers with focus modules to reduce computational complexity, and reduced the use of the C3 layer to increase network speed, thereby meeting the speed and accuracy requirements of traffic cone placement and retraction operations while maintaining acceptable model inference accuracy. …”
Get full text

Revolutionizing Epithelial Differentiability Analysis in Small Airway-on-a-Chip Models Using Label-Free Imaging and Computational Techniques by Shiue-Luen Chen, Ren-Hao Xie, Chong-You Chen, Jia-Wei Yang, Kuan-Yu Hsieh, Xin-Yi Liu, Jia-Yi Xin, Ching-Kai Kung, Johnson H. Y. Chung, Guan-Yu Chen

Get full text

Image quality and radiation dose of reduced-dose abdominopelvic computed tomography (CT) with silver filter and deep learning reconstruction by Chuluunbaatar Otgonbaatar, Sang-Hyun Jeon, Sung-Jin Cha, Hackjoon Shim, Jin Woo Kim, Jhii-Hyun Ahn

Get full text

Machine Learning and Deep Learning Approaches for Accent Recognition: A Review by Muzaffar Ahmad Dar, Jagalingam Pushparaj

Get full text

Optimizing the Scheduling of Teaching Activities in a Faculty by Francis Patrick Diallo, Cătălin Tudose

Get full text

MetaLo: metabolic analysis of Logical models extracted from molecular interaction maps by Aghakhani Sahar, Niarakis Anna, Soliman Sylvain

“…Molecular interaction maps (MIMs) are static graphical representations depicting complex biochemical networks that can be formalized using one of the Systems Biology Graphical Notation languages. Regardless of their extensive coverage of various biological processes, they are limited in terms of dynamic insights. …”
Get full text

ResNet-SE-CBAM Siamese Networks for Few-Shot and Imbalanced PCB Defect Classification by Chao-Hsiang Hsiao, Huan-Che Su, Yin-Tien Wang, Min-Jie Hsu, Chen-Chien Hsu

Get full text

Aerial video & trajectory dataset of vehicles on circular roadYouTubeGitHubZenodo by Kevin Riehl, Shaimaa K. El-Baklish, Anastasios Kouvelas, Michail A. Makridis

“…This article presents aerial video and vehicle trajectory data collected during a phantom traffic jam experiment with the Swiss television (SRF) at the driving test centre TCS Derendingen, Solothurn, from March 12th 2024. 14 vehicles were recorded for a total duration of 40 minutes with a drone from above, and vehicle trajectories were extracted using computer vision and Kalman filtering methodology. The observed vehicles differ by their power train (combustion, electric, hybrid), gearbox (manual, automatic), and equipment with advanced driver assistance systems.The data provided in this article offers a valuable resource for researchers, industry representatives, public authorities, and other parties interested in mixed-traffic dynamics, traffic flow theory, computer vision. …”
Get full text