This repository contains the implementation of a novel multi-agent reinforcement learning approach for molecular optimization and drug discovery, combining genetic algorithms with deep reinforcement ...

All these fixes are explained below in detail. 1] Are you saving the file as CSV? CSV is the Comma-Separated Values format for Excel files. Excel does not save formatting in CSV. Therefore, if you are ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c00584. Supplementary Table 1: shows the initial data ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

1 Energy, Materials and Methods Research Laboratory, National High Polytechnic School of Douala, Douala, Cameroon. 2 National Advanced School of Engineering, University of Yaounde I, Yaounde, Cameroon ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...

Penman-Monteith; hyperparameter tuning; Genetic Algorithms (GAs); grid search; random search In Brazil, water crises have exposed the importance of water management in various sectors, particularly ...

More sustainable chemical processes require the selection of suitable molecules, which can be supported by computer-aided molecular design (CAMD). CAMD often generates and evaluates molecular ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...