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 ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Morning Overview on MSNOpinion
Firms hire AI specialists over data engineers, and it’s backfiring
Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...
Discover why startups in 2026 prefer trusted fuel delivery app development companies for safety compliance, logistics and ...
As digital marketing ecosystems expand, advertising creative production demands have risen significantly alongside requirements for visual coherence and style ...
Abstract: In this article, a disturbance observer-based model predictive control (DOB-based MPC) strategy is proposed for the trajectory tracking of cable-driven parallel robots (CDPRs). The original ...
Abstract: Model predictive control (MPC) has proven useful in enabling safe and optimal motion planning for autonomous vehicles. In this article, we investigate how to achieve MPC-based motion ...
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