Machine Learning Methods to Improve Crystallization through the Prediction of Solute–Solvent Interactions
A Kandaswamy, SP Schwaminger - Crystals, 2024 - mdpi.com
Crystallization plays a crucial role in defining the quality and functionality of products across
various industries, including pharmaceutical, food and beverage, and chemical …
various industries, including pharmaceutical, food and beverage, and chemical …
[HTML][HTML] MURE: Multi-layer real-time livestock management architecture with unmanned aerial vehicles using deep reinforcement learning
In recent years, the combination of unmanned aerial vehicles (UAVs) and wireless sensor
networks (WSNs) has gained popularity in livestock management (LM) due to energy …
networks (WSNs) has gained popularity in livestock management (LM) due to energy …
Optimal Motion Design for Autonomous Vehicles With Learning Aided Robust Control
This paper presents a control design framework for the integration of robust controller and
reinforcement learning-based (RL) control agent. The proposed integration method is …
reinforcement learning-based (RL) control agent. The proposed integration method is …
Innovative Dual-Stage Blind Noise Reduction in Real-World Images Using Multi-Scale Convolutions and Dual Attention Mechanisms
The distribution of real noise in images can disrupt the inherent symmetry present in many
natural visuals, thus making its effective removal a paramount challenge. However …
natural visuals, thus making its effective removal a paramount challenge. However …
Integration of Robust Control with Reinforcement Learning for Safe Autonomous Vehicle Motion
This paper presents a control design framework for the integration of robust control and
reinforcement learning-based (RL) control agent. The proposed integration method is …
reinforcement learning-based (RL) control agent. The proposed integration method is …
Controlled descent training
V Andersson, B Varga, V Szolnoky… - … Journal of Robust …, 2024 - Wiley Online Library
In this work, a novel and model‐based artificial neural network (ANN) training method is
developed supported by optimal control theory. The method augments training labels in …
developed supported by optimal control theory. The method augments training labels in …
Optimal taxation by two-agent reinforcement learning
E Lindau - 2023 - diva-portal.org
An economy's tax policy is one of the vital moments for, on the one hand, stimulating
economic growth and labor, and, on the other hand gaining revenues from economic …
economic growth and labor, and, on the other hand gaining revenues from economic …