Hamido Fujita

Trajectory optimization of train cooperative energy-saving operation using a safe deep reinforcement learning approach

Two-Stage Integrated Planning of Energy-Saving Operations of Metro Trains Using MOJS and GWO Algorithms

Adjustment of Energy-Saving Train Operations Based on Synergies of All Trains in the Same Power Supply Area

Trisection-fusion and fusion-trisection methods of three-way conflict analysis with Pythagorean fuzzy information

Distributed Multi-Agent Reinforcement Learning for Cooperative Low-Carbon Control of Traffic Network Flow Using Cloud-Based Parallel Optimization

SDHGCN: A Heterogeneous Graph Convolutional Neural Network Combined With Shadowed Set

Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals

An attention-based deep learning model for multi-horizon time series forecasting by considering periodic characteristic

Novel nested patch-based feature extraction model for automated Parkinson's Disease symptom classification using MRI images

Energy-Saving Train Operation Synergy Based on Multi-Agent Deep Reinforcement Learning on Spark Cloud

Deep reinforcement learning with reference system to handle constraints for energy-efficient train control

Model Predictive Control for Hybrid Levitation Systems of Maglev Trains With State Constraints

Cooperative multi-agent actor–critic control of traffic network flow based on edge computing

Robust supervised rough granular description model with the principle of justifiable granularity

A novel three-way decision approach in decision information systems

Spark Cloud-Based Parallel Computing for Traffic Network Flow Predictive Control Using Non-Analytical Predictive Model

Energy-Saving Operation Synergy for Multiple Metro-Trains Using Map-Reduce Parallel Optimization

A novel fuzzy rough set model with fuzzy neighborhood operators

A competitive chain-based Harris Hawks Optimizer for global optimization and multi-level image thresholding problems

Traffic Network Flow Prediction Using Parallel Training for Deep Convolutional Neural Networks on Spark Cloud

Variable-precision three-way concepts in L-contexts

Data-Driven Models for Objective Grading Improvement of Parkinson’s Disease

An evolutionary gravitational search-based feature selection

ProUM: Projection-based utility mining on sequence data

Correlated utility-based pattern mining

Consensus reaching in social network group decision making: Research paradigms and challenges

A study of graph-based system for multi-view clustering

Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals

Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review

Parallel computing method of deep belief networks and its application to traffic flow prediction