A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
Researchers from Washington and Puerto Rico found that an AI recycling system that pairs spectroscopy with deep learning dramatically improves plastic sorting accuracy.
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...
Abstract: Hierarchical Multilabel Classification (HMC) is a challenging task in information retrieval, especially within scientific textbooks, where the objective is to allocate multiple labels ...
Abstract: Uncertainty analysis of classification or regression models is a key feature of probabilistic approaches to supervised learning, allowing the assessment of how trustworthy predictions are.
1 School of Mechanical Engineering, Vellore Institute of Technology, Chennai, India 2 Centre for e-Automation Technologies, Vellore Institute of Technology, Chennai, India Introduction: Friction Stir ...
I have been analyzing the research paper titled "Application of Remote Sensing Technology in Water Resources Management", which serves as the foundation for the Irrigation Classification Probability ...
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