IEEE

High-Dimension Bayesian Parameter Estimation for WECC Composite Load Model Using Realistic Event Measurements

Abstract: Calibration of the composite load model with distributed generation (CMPLDWG) can be challenging due to its nonlinear and high-dimensional characteristics. To address this issue, this paper ...
IEEE

Multi-channel Steady-state visual evoked potential generation based on classifier-free conditional denoising diffusion probabilistic model

Abstract: Brain computer interface (BCI) is an interactive way of communication between the brain and external devices such as computers, without the need for peripheral neural pathways and muscles.
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 ...
Scientific Research Publishing

Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.