Minghui Ma

ORCID: 0009-0001-0062-4687
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About
Contact & Profiles
Research Areas
  • Random lasers and scattering media
  • Advanced Optical Imaging Technologies
  • Refrigeration and Air Conditioning Technologies
  • Optical Coherence Tomography Applications
  • Geothermal Energy Systems and Applications
  • Regional Development and Environment
  • Medical Research and Treatments
  • Neural Networks and Reservoir Computing
  • Building Energy and Comfort Optimization

Wuhan University of Science and Technology
2025

Beijing University of Chemical Technology
2024

Changchun University
2024

University of Bologna
2024

With the continuous advancement of Mobility as a Service (MaaS), hybrid traffic flow comprising MaaS-based and conventional trips has emerged within transportation networks, leading to diverse behaviors among heterogeneous travelers. Given coexistence travelers during promotion MaaS, this paper investigates two distinct groups: using MaaS subscription services (defined “subscribed users”) traditional who rely on personal experience “decentralized users”). Accordingly, we propose day-to-day...

10.3390/su17072983 article EN Sustainability 2025-03-27

The coefficient of performance (COP) is a crucial metric for evaluating the efficiency heat pump systems. Real-time monitoring system necessitates continuously collecting and processing data from various components utilizing multiple sensors controllers. This process inherently complex presents significant challenges. In recent years, artificial intelligence (AI) models have increasingly been applied in refrigeration, pump, air conditioning systems due to their capability identify analyze...

10.3390/en17225607 article EN cc-by Energies 2024-11-09

In recent decades, Ghost Imaging (GI) has emerged as a focal point of research attention among scholars. The imaging quality GI remains challenge despite extensive research. this study, we propose new model aimed at improving quality. Being inspired by the possible nonlinear connections in GI, have developed based on bidirectional recurrent neural networks (BI-RNN), named GI-BRNN(ghost base network). This leverages mechanism and exhibits higher peak signal-to-noise ratio (PSNR) structural...

10.1145/3661725.3661780 article EN 2024-04-12
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