Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Discover why options market data suggests a lower crash risk for U.S. stocks than pundit surveys, and how to optimize asset ...

AI ran 10,000 XRP price simulations for 2026. Base range: $1.04-$3.40 (60% probability). Best case: $6+. Worst case: below $0 ...

To be regarded as a serious title contender, a team has to always be among the top xG difference rankings. Eleven players do ...

Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in the accounting and finance industries for more than 20 years. Her expertise covers a ...

This workshop provides a comprehensive review of fundamental statistical concepts using the R software. Participants will revisit key topics, including descriptive statistics, probability ...

Predicting how complex stochastic systems respond to small external perturbations is central in physics, climate science, and engineering. We combine the generalized fluctuation–dissipation theorem ...

Abstract: This paper revisits the ordered statistics decoding (OSD). It provides a comprehensive analysis of the OSD algorithm by characterizing the statistical properties, evolution and the ...

Statistics for Data Science is a Git project that explores fundamental statistical concepts essential for data analysis and machine learning. It covers topics like descriptive statistics, probability ...

Future events are far from certain in the business world. This is especially true for smaller businesses, which tend to have more volatility than larger organizations, or newer businesses without a ...