Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
A team of scientists at Northwest A and F University has developed a data-driven framework that can accurately predict the ...
Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...
As an assignment under the module of Applied Machine Learning, our task was to create 3 classification models and compete on a private Kaggle competition. The data provided had 97 masked variables. I ...
Before feeding the training data into the model, it is crucial to carefully preprocess the dataset by identifying and addressing any anomalies. Step 1: The Pauta criterion was applied to establish the ...
Rapid, accurate, and efficient prediction of surrounding rock grades is crucial for ensuring the safety and enhancing the efficiency of tunnel boring machine (TBM) construction. To achieve intelligent ...
Underwater waste detection with YOLOv8 Underwater image enhancement using Dark Channel Prior Water quality classification with XGBoost Aquatic habitat assessment ...