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 ...

AI isn’t about if anymore — it’s where. Run inference at the edge when speed, privacy or outages matter, and use the cloud ...

Introduction​ The manufacturing sector has always been plagued by spring design failures as the main factor causing machinery to vibrate more than normal and th ...

The Colorado Buffaloes have been a dominant force in college basketball, boasting a 91% chance of winningagainst Portland State, according to advanced predictive models. Their consistent performance ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

As digital payments surge globally, sophisticated cyber threats are on the rise, necessitating advanced AI-powered fraud ...

Indoor 5G market generated USD 14.67 Billion in 2024 and is predicted to grow to about USD 87.9 Billion by 2034, recording a CAGR of 19.60% ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.

Explore how hybrid healthcare, wearable tech, and continuous monitoring are transforming medicine into proactive, data-driven, patient-centered care.

Background CFTR modulators have transformed cystic fibrosis (CF) treatment, but individual responses vary even among patients with identical CFTR genotypes. This underscores the need for predictive ...