GitHub

MDDTA: A Drug Target Binding Affinity Prediction Method Based on Molecular Dynamics Simulation Data Enhancement

This repository contains the MDDTA model, a deep learning-based approach for drug target binding affinity prediction. The code and data provided facilitate training the model and conducting drug ...
IEEE

Adaptive Intermediate Class-Wise Distribution Alignment: A Universal Domain Adaptation and Generalization Method for Machine Fault Diagnosis

Abstract: Many transfer learning methods have been proposed to implement fault transfer diagnosis, and their loss functions are usually composed of task-related losses, distribution distance losses, ...
IEEE

Classes of Dilemma Problems and Their Multi-Agent Reinforcement Learning Method

Abstract: Multi-agent systems appear in a wide variety of fields and there have been several studies on multi-agent reinforcement learning. Dilemma problems are typical classes of multi-agent problems ...
Frontiers

Neurological Autoimmunity: etiology, infectious complications, treatment strategies and outcomes in antibody-associated syndromes and beyond

Autoimmune neurology encompasses a wide spectrum of immune-mediated disorders with various neurologic manifestations. New neuronal antibodies are discovered each year; thus, the field continues to ...