Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...
A team of scientists at Northwest A and F University has developed a data-driven framework that can accurately predict the characteristics of an enigmatic substance within biochar known as persistent ...
Abstract: Heart rhythm disturbances (arrhythmias) in the elderly are chronic conditions that are high risk and often difficult to detect early because the symptoms are not always obvious. Automatic ...
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 ...
Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
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 ...
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