Abstract: Landslide susceptibility prediction (LSP) modeling provides an effective means for exploring the spatial distribution patterns of landslides in the study area. However, challenges such as ...
Abstract: Software-defined networks (SDNs) face significant challenges from link flooding attacks (LFAs), where malicious bots flood towards a limited number of hidden hosts, known as decoys, at a low ...
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 ...
Forests around the world are quietly transforming, and not for the better. A massive global analysis of more than 31,000 tree species reveals that forests are becoming more uniform, increasingly ...
1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
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 ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
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