GitHub

Infosys Model Inference Library

The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.
IEEE

Enhanced Motor Imagery Decoding by Calibration Model-Assisted With Tactile ERD

Abstract: Objective. In this study, we propose a tactile-assisted calibration method for a motor imagery (MI) based Brain-Computer Interface (BCI) system. Method. In the proposed calibration, tactile ...
GitHub

jikrant3/sed-analysis-tools

A Python module to model, fit, and analyse single and binary spectral energy distributions (SEDs). This theory behind the code, and the method it implements, are ...
IEEE

LogitAC: Logit Amplitude Constraints for Confidence Calibration and Out-of-Distribution Detection

Abstract: Discriminating out-of-distribution (OOD) input is critical for safely deploying deep learning models in reality. A primary challenge in OOD detection is that the model produces abnormally ...
C&EN

Experimental Nonlinear Model Predictive Control of Crystal Size and Yield in Batch Cooling Crystallization Enabled by Soft Sensor and Symbolic-Based Calibration Model

Escola de Química, EPQB, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil Programa de Engenharia Química, PEQ/COPPE, Universidade Federal do Rio de Janeiro, Rio ...