The first paper, "Process Discovery Automation: Benefits and Limitations," explores automation levels in process discovery for business processes, highlighting the advantages of semi-automated approaches and the superior performance of deep learning algorithms. You can view the paper through following the button below:
The second paper, "Prediction of Dental Fluorosis Infection based on Particle Optimized Scored KNN Approach," introduces a novel technique for predicting dental fluorosis using real-world data. This approach outperforms traditional methods with an accuracy rate of 94.5% when the K value is 11. You can view the paper through following the button below:
Congratulations to Reem Kadry for your outstanding work