Guohu Wang

ORCID: 0000-0002-6330-2271
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About
Contact & Profiles
Research Areas
  • Metaheuristic Optimization Algorithms Research
  • Mechanical Engineering and Vibrations Research
  • Solar Thermal and Photovoltaic Systems
  • Selenium in Biological Systems
  • Grey System Theory Applications
  • Engineering Applied Research
  • Photovoltaic System Optimization Techniques
  • Tunneling and Rock Mechanics
  • Advanced Multi-Objective Optimization Algorithms
  • Aerodynamics and Fluid Dynamics Research
  • Plant responses to water stress
  • Mining Techniques and Economics
  • Plant Stress Responses and Tolerance
  • Polysaccharides and Plant Cell Walls
  • MicroRNA in disease regulation
  • Mechanical Engineering Research and Applications
  • Cancer-related molecular mechanisms research
  • RNA modifications and cancer
  • Machine Learning and ELM
  • Solar Radiation and Photovoltaics
  • Energy Load and Power Forecasting
  • Advanced Algorithms and Applications
  • Evaluation Methods in Various Fields
  • Heavy Metal Exposure and Toxicity
  • Plant Micronutrient Interactions and Effects

Zhengzhou University
2024-2025

South China Agricultural University
2023-2024

Zhengzhou University of Industrial Technology
2019-2021

Northwest A&F University
2021

Henan University of Science and Technology
2016

Jilin University
2013

Accumulation of cadmium (Cd) ions in soil is an increasingly acute ecological problem agriculture production. Selenium nanoparticles (SeNPs) can mediate Cd tolerance plants; however, the underlying mechanisms remain unclear. Herein, we show that foliar application SeNPs improved adaptive capacity tomato plants to decrease Cd-induced damage. induced more roots but not shoots despite greater accumulation selenium and sulfur both tissues high selenate influx. Additionally, significantly...

10.1021/acs.jafc.3c07504 article EN cc-by-nc-nd Journal of Agricultural and Food Chemistry 2024-01-12

Abstract With the development of deep learning, potential for its use in remaining useful life (RUL) has substantially increased recent years due to powerful data processing capabilities. However, relationships and interdependencies operation parameters non-Euclidean space are ignored utilizing current learning-based methods during degradation process engine. To address this challenge, an improved sand cat swarm optimization-assisted Graph SAmple aggregate gate recurrent unit...

10.1038/s41598-025-91418-w article EN cc-by Scientific Reports 2025-02-26

This paper proposed an improved optimization algorithm for engineering problems. algorithm, namely, gravitational search strategy-assisted rider (GSSROA), combines the strategy (GSS) with (ROA). In GSSROA, step can be adaptively adjusted in each iteration. The performance of GSSROA has been verified three benchmark design results indicate that feasibility and good robustness. Then, is applied to optimize weight front axle automobile under non-linear constraints. show achieve optimal...

10.1109/access.2019.2923468 article EN cc-by IEEE Access 2019-01-01

In highly intensive greenhouse vegetable production, soil acidification was caused by excessive fertilization, increasing cadmium (Cd) concentrations in the vegetables, which bears environmental hazards and is a negative influence on vegetables humans. Transglutaminases (TGases), central mediator for certain physiological effects of polyamines (PAs) plant kingdom, play important roles development stress response. Despite increased research crucial role TGase protecting against stresses,...

10.1016/j.ecoenv.2023.115023 article EN cc-by Ecotoxicology and Environmental Safety 2023-05-17

Abstract Accurate prediction of the engine's remaining useful life (RUL) is essential to ensure safe operation aircraft because. However, traditional deep‐learning based methods for RUL has been limited by interpretability and adjustment hyperparameters in practical applications due intricate potential relations during degradation process. To address these dilemmas, an improved multi‐strategy tuna swarm optimization‐assisted graph convolutional neural network (IMTSO‐GCN) developed achieve...

10.1002/qre.3651 article EN Quality and Reliability Engineering International 2024-08-28

Preadipocyte proliferation is a critical and precisely orchestrated procedure in adipogenesis, which highly regulated by microRNAs (miRNAs). A previous study identified that the expression of miR-33a different intramuscular fat (IMF) tissues from steers bulls. In present study, was overexpressed bovine preadipocytes, total 781 differentialy expressed genes were found, including 348 upregulated 433 downregulated genes. Gene Ontology Kyoto Encyclopaedia Genes Genomes (KEGG) pathway analyses...

10.1080/21623945.2021.1908655 article EN cc-by Adipocyte 2021-01-01

Bucket wheel reclaimer (BWR) is a complex engineering machine widely used in the open pit mine; it characterized by low efficiency and high maintenance cost.The boom, namely typical framework structure, core component of BWR, which affects performance BWR directly.For addressing this issue, paper proposes self-adaptive genetic algorithm (AGA) to improve (GA).The standard has been improved enhance optimization efficiency, because problem believed be highly non-linear.The AGA verified two...

10.1109/access.2019.2910185 article EN cc-by-nc-nd IEEE Access 2019-01-01

A swarm intelligent optimization strategy, namely, the elite opposition-based learning (EOBL) is proposed for heat transfer search algorithm (HTSA), aiming to achieve global solutions non-linear problems. An improved (IHTSA), EOBL enhance correlation between upper and lower generations. The performance of IHTSA has been verified with nine test functions, results are compared corresponding instinctive reaction strategy based on Harris hawks HTSA. experimental show that achieves first rank in...

10.1063/5.0060730 article EN cc-by AIP Advances 2021-08-01
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