Even weak ocean models can provide valuable information for environmental forecasts, study shows

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...
acm.org

From Prediction to Intervention: Integrating Counterfactual Reasoning into AI Decision-Making

The analysts working on AI projects have a crucial question: How will the interventions brought about by the AI cause the desired outcomes? To date, only about 20% of companies have managed to scale ...
GitHub

Predictive Biomarker Modeling Framework (PBMF)

The PBMF (Publised in Cancer cell ) is an automated neural network framework based on contrastive learning. This general-purpose framework explores potential predictive biomarkers in a systematic and ...
IEEE

Optimal Economic Schedule for a Network of Microgrids With Hybrid Energy Storage System Using Distributed Model Predictive Control

Abstract: In this paper, an optimal procedure for the economic schedule of a network of interconnected microgrids with hybrid energy storage system is carried out through a control algorithm based on ...
SciELO

Predictive Modeling of Rheological Behavior in Semisolid Pharmaceutical Formulations Using Computational Tools.

Topical treatments for skin conditions offer significant benefits, yet understanding the rheological characteristics of semi-solid formulations is crucial, as they directly influence treatment ...
IEEE

Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control

Abstract: Electric motors are used in many applications, and their efficiency is strongly dependent on their control. Among others, linear feedback approaches or model predictive control methods are ...