Ecommerce Fastlane

Delivery Estimate Accuracy: What Does It Mean & Who Does It Impact?

Delivery estimate accuracy (DEA) refers to the ability of an ecommerce business to correctly predict when a customer’s order ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

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 ...
University of Chicago News

Why can’t powerful AIs learn basic multiplication?

New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

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 ...
IEEE

Analytical Accuracy Prediction Model for Fourier Transform-Based Coating Thickness Estimation in Eddy Current Testing of Coated Steel Sheets Using a Multi-Frequency Approach

Abstract: Accurate thickness determination of thin electrically conductive coatings on ferromagnetic steel substrates using eddy current testing is crucial in industrial applications. In the ...
IEEE

Analysis of Ansätze Expressibility and Complexity and Their Impact on Classification Accuracy Using QNN and QLSTM

Abstract: Quantum Neural Networks (QNN) and Quantum Long Short-Term Memory (QLSTM) models are emerging as powerful tools in quantum machine learning. The effectiveness of these models is largely ...