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 ...
The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
Vitalik ZK-proofs help make platforms like X fair and secure by verifying algorithm decisions with timestamps and controlled code release. Summary is AI generated, newsroom reviewed. Vitalik urges ...
Objective: To explore the risk factors of cognitive dysfunction in patients with leukoaraiosis (LA) and to construct a predictive model using machine learning. Methods: A total of 273 patients with LA ...
Abstract: In the realm of pharmaceutical research and development, accurate classification of drugs is of paramount importance for effective therapeutic interventions. This paper proposes a novel ...
Abstract: This research article identifies the fault occurrence in the blowfish cryptography algorithm using a modified Decision Tree classifier. Though there are several cryptography algorithms, the ...
A newly enacted New York law requires retailers to say whether your data influences the price of basic goods like a dozen eggs or toilet paper, but not how. If you’re near Rochester, New York, the ...
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