Visakhapatnam: Nearly 15% of Visakhapatnam's hilly terrain has been identified as highly vulnerable to landslides, with risks concentrated in the Kail.

If a tree falls in the forest, it can create an opening for more incoming light, and that makes a significant impact on the surrounding environment, according to new research. An international science ...

Abstract: In the field of abnormal data detection, the isolated forest algorithm is widely used and is suitable for mass data processing. The existing isolated forest algorithms only focus on the ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Abstract: The risk of pedestrian-involved traffic accidents represents a significant challenge to road safety and necessitates objective methods for analyzing the contributing factors. This study ...

Heat stress is widely recognized as a critical risk factor in livestock systems. Rising temperatures and humidity levels can ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

“Tooth agenesis, a congenital condition characterized by the absence of one or more teeth, is among the most common and ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...