Artificial intelligence is turning a familiar medical workhorse into a window on one of the most pervasive health threats of modern life: chronic stress. By training deep learning systems on routine ...

Delivered a hands‑on workshop repository that showcases predictive modeling, anomaly detection, and automated hyperparameter optimization for manufacturing use cases.

Abstract: Long-term forecasting of multivariate time series has been an important research issue in the field of data mining and knowledge discovery. Fuzzy information granularity is used as an ...

Background: To develop and validate a predictive model for cancer-related fatigue (CRF) in patients with esophageal cancer. Methods: A convenience sample comprising patients diagnosed with esophageal ...

SDEvelo represents a significant advancement in the analysis of single-cell RNA sequencing (scRNA-seq) data, offering a novel approach to inferring RNA velocity through multivariate stochastic ...

Forbes contributors publish independent expert analyses and insights. Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University. Amidst all the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Quantitative determination of the relative contributions from multiple sources in ...

This white paper discusses the critical infrastructure needed for efficient AI model training, emphasizing the role of network capabilities in handling vast data flows and minimizing delays. It ...

aDepartment of Pediatrics, Peking University First Hospital, Beijing, 100034, China bDepartment of Pediatric Cardiology, Children's Hospital, Capital Institute of Pediatrics, Beijing, 100020, China ...