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Scientific Research Publishing7h
Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
The new battlefield: AI-based warfare in the ‘agentic’ age, multi-domain ops and energy as a big constraining factor
Fields such as Big Data analysis, machine learning, predictive analysis, and natural language processing need a lot of energy ...
IEEE3d
Comparative Analysis of Machine Learning Algorithms for Alzheimer's Disease Identification: A Comprehensive Evaluation - IEEE Xplore
A brain disorder, Alzheimer's disease (AD), impacts the lifestyle of around 6.5 million people around the globe, generally people over 65, which causes advanced cognitive dete-rioration. Despite the ...
Study uses machine learning to map pH-dependent performance of tin catalysts
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
Fairfax County Times4d
Local student uses machine learning to combat fentanyl crisis
According to the Virginia Department of Health (VDH), drug overdose deaths among Virginia residents decreased by 43% in 2024.
IEEE4d
TFA-Net: A Deep Learning-Based Time-Frequency Analysis Tool
Recently, synchrosqueenzing transform (SST)-based time-frequency analysis (TFA) methods have been developed for achieving the highly concentrated TF representation (TFR). However, SST-based methods ...
Frontiers4d
Machine Learning Algorithms for Brain Imaging: New Frontiers in Neurodiagnostics and Treatment
Advancements in machine learning hold great promise for the analysis of multimodal neuroimaging data. They can help identify biomarkers and improve diagnosis for various neurological disorders.