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Implementation of the iQR smart attendance system
As smartphones become much more popular and preferred in the modern world, university traditional attendance marking systems can also be digitalized through smartphones. Attendance marking can be somewhat troublesome in some manner, but it is imperative in a university environment. Quick Response code-based solution is the most productive and cost-efficient alternative solution for every existing …
A Large Scaled Drunk Drivers Detection System For Police Checkpoints
Even though people know it is too risky, they used to drink and drive. So the police put a significant effort to catch them. There are some systems to verify that a person has consumed alcohol or not. But still, a lot of drunk drivers are escaping from police checkpoints. The goal of this project …
A Large Scaled Drunk Drivers Detection System For Police CheckpointsRead More
Performance Comparison of ONOS and ODL Controllers in Software Defined Networks Under Different Network Typologies
A controller is a fundamental component of the Software-Defined Network (SDN) architecture that will contribute to the success or failure of SDN. Although it can be implemented using different open source and proprietary tools, selecting the best would eventually contribute to the success of implementation. Therefore, there is a need to assess and compare other …
Web Based Leave Management System for University College of Jaffna
In the existing Leave Management System, University College follows paper-based procedure to maintain leave of employee and administration department record those leave information in a record book. At the end of each month, the administration department calculates the leaves of every employee, which is a time-consuming process, and there are chances of losing data. The …
Web Based Leave Management System for University College of JaffnaRead More
A Feasibility study for Deep Learning Based Automated Brain Tumor Segmentation using Magnetic Resonance Images
Deep learning algorithms have accounted for the rapid acceleration of artificial intelligence research in medical image analysis, interpretation, and segmentation with many potential applications across various sub-disciplines in medicine. However, only a limited number of research investigating these application scenarios is deployed into the clinical sector to evaluate the real requirement and the practical challenges …
ISSN
2714-1837
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