IEEE

Automated Machine Learning to Streamline Data-Driven Industrial Application Development

Abstract: The emergence of the fourth industrial revolution has resulted in a fundamental change in the way organisations function, highlighting the need to make decisions based on data. Automated ...
IEEE

Digital In-Memory Compute for Machine Learning Applications With Input and Model Security

Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...
Scientific Research Publishing

Data Factor Empowers New Quality Productive Forces: Evidence from China ()

Data Factor, New Quality Productive Forces, Industry-University-Research Cooperation, Industrial Structure Optimization Share ...
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 ...