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A re-organizing biosurveillance framework based on fog and mobile edge computing
(Springer, 2021)
Biological threats are becoming a serious security issue for many countries across the world. Effective biosurveillance systems can primarily support appropriate responses to biological threats and consequently save human ...
Multi-Person Tracking and Crowd Behavior Detection via Particles Gradient Motion Descriptor and Improved Entropy Classifier
(MDPI AG., 2021)
To prevent disasters and to control and supervise crowds, automated video surveillance has become indispensable. In today’s complex and crowded environments, manual surveillance and monitoring systems are inefficient, labor ...
A smart surveillance system for people counting and tracking using particle flow and modified som
(MDPI AG., 2021)
Based on the rapid increase in the demand for people counting and tracking systems for surveillance applications, there is a critical need for more accurate, efficient, and reliable systems. The main goal of this study was ...
A Systematic Deep Learning Based Overhead Tracking and Counting System Using RGB-D Remote Cameras
(MDPI AG., 2021)
Automatic head tracking and counting using depth imagery has various practical applications in security, logistics, queue management, space utilization and visitor counting. However, no currently available system can clearly ...
Test case prioritization for model transformations
(King Saud bin Abdulaziz University, 2021)
The application of model transformations is a critical component in Model-Driven Engineering (MDE). To ensure the correctness of the generated models, these model transformations need to be extensively tested. However, ...
A framework for the regression testing of model-to-model transformations
(Wroclaw University of Science and Technology, 2021)
Background: Model transformations play a key role in Model-Driven Engineering (MDE). Testing model transformation is an important activity to ensure the quality and correctness of the generated models. However, during the ...