专题：Elevator Systems and Control

This cluster of papers focuses on the optimization of elevator traffic control systems, including group scheduling, energy efficiency, and simulation-based approaches. It explores the use of genetic algorithms, fuzzy logic, and IoT technology in supervisory control and addresses escalator-related injuries.
最新文献
Unsupervised subdomain contrastive adaptation for elevator fault diagnosis based on time-frequency feature attention mechanism segmentation

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Toward early warning of unsafe behavior of excavator operators under time pressure: experimental evidence and EEG-based detection via RCF-IncepLite model

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An extended cellular automaton model for crowd evacuation under multi-storey building with ControlNet

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Safety-oriented facility design and operation management for transportation hub station

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Active control for simultaneous vibration reduction of ropes in high-rise elevator systems under seismic excitation

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A unified ontology framework for cross-domain integration of BIM, IoT, and maintenance services in smart facility management

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Design Consideration and Stress Analysis of Arms for Two-Post Car Lift

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Integrating Pedestrian Simulation into Early Building Design: A Deep Learning Approach for Trajectory Prediction

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Passenger flow simulation model for urban rail transit hubs based on cellular automata and multi-agent systems

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AI-Based Prediction Models for Urban Parking Availability

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近5年高被引文献
A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem

article Full Text OpenAlex 286 FWCI35.8475

Deep reinforcement learning for dynamic scheduling of a flexible job shop

article Full Text OpenAlex 262 FWCI33.9493

Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities

article Full Text OpenAlex 185 FWCI20.5002

Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems

article Full Text OpenAlex 160 FWCI54.0546

Large-Scale Dynamic Scheduling for Flexible Job-Shop With Random Arrivals of New Jobs by Hierarchical Reinforcement Learning

article Full Text OpenAlex 149 FWCI31.1371

Adaptive control of time delay teleoperation system with uncertain dynamics

article Full Text OpenAlex 140 FWCI13.7796

A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances

article Full Text OpenAlex 137 FWCI18.0463

Challenges, tasks, and opportunities in teleoperation of excavator toward human-in-the-loop construction automation

article Full Text OpenAlex 136 FWCI22.3193

Reinforcement learning applied to production planning and control

article Full Text OpenAlex 127 FWCI14.5737

Flexible Job Shop Scheduling via Dual Attention Network-Based Reinforcement Learning

article Full Text OpenAlex 120 FWCI24.761