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- This research project is aimed at developing an algorithm for the detection and repair of one or a few of the identified imperfection patterns in process mining event logs. Our goal is to create a plugin for Praeclarus, a PDQ (Process Data Quality) framework that addresses imperfections, enhancing the accuracy and reliability of process analysis.
portal.ce.pdn.ac.lk
Publicpeople.ce.pdn.ac.lk
Publiccepdnaclk.github.io
PublicGithub pages website for Department of Computer Engineering, University of Peradeniya. https://cepdnaclk.github.ioprojects.ce.pdn.ac.lk
PublicPeracom-PGC
Publice20-co225-Mentormate
Publiccompbio
Publicapi.ce.pdn.ac.lk
Publicwww.ce.pdn.ac.lk
Public- Addressing data quality concerns is crucial since it plays a significant role in process mining. Nevertheless, the current strategy frequently targets symptoms rather than underlying issues. So, here presents prevention and mitigation of the data quality issues in event logs.
- A tool for refining long-reads binning using kingdom level information
e20-co225-Food-Buddy
Publicfaq.ce.pdn.ac.lk
Public- In this research, we introduce a personalized emotion prediction model that focuses on four key emotions: happy, sad, neutral, and angry. What makes this model special is its ability to adapt to each individual user, learning from how they personally express emotions and adjusting the importance of each modality accordingly.
- At the moment there are some proven Correlation Power Analysis attacks against AES cipher with help of on-chip sensors and machine learning techniques. The aim of this research project is to investigate other ciphers for Remote Power Analysis Attacks and propose countermeasures to prevent RPA attacks on those ciphers.
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