Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

“…LSTM provided the best results with an accuracy of 95% for predicting the most appropriate power rating (PR) for EVCS, followed by RF, DT, DNN, SVM, KNN, and NB. Additionally, LSTM was also the model with the smallest error rate, at a value of ±0.7%, followed by RF, DT, KNN, SVM, DNN, and NB. …”

Aortic valve function post-replacement of severe aortic stenosis by transcatheter procedure versus surgery: a systematic review and metanalysis by Charbel Abi Khalil (14150028)

“…TAVR was associated with 37% (95% CI [0.51–0.78) mean RR reduction of post-procedural PPM, a decrease that was not affected by the surgical risk at inclusion, neither by the transcatheter heart valve system. …”

High-Performance Acetic Acid Sensing Using Cerium-MoS₂ Composite for Beverages and Food Processing Industry by E. Safamariyam (22330186)

“…Furthermore, the repeatability of the Ce_0.6 -MoS₂ sensor was assessed over 30 days, and a marginal decrease of 5% in response was observed from day 1 to day 30.…”