Dabin Zhang

ORCID: 0000-0001-9803-9795
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About
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Research Areas
  • Energy Load and Power Forecasting
  • Stock Market Forecasting Methods
  • Grey System Theory Applications
  • Additive Manufacturing Materials and Processes
  • High Entropy Alloys Studies
  • Advanced Sensor and Control Systems
  • Time Series Analysis and Forecasting
  • Forecasting Techniques and Applications
  • Welding Techniques and Residual Stresses
  • Market Dynamics and Volatility
  • Advanced Algorithms and Applications
  • Atmospheric and Environmental Gas Dynamics
  • Metaheuristic Optimization Algorithms Research
  • Advanced battery technologies research
  • High-Temperature Coating Behaviors
  • Currency Recognition and Detection
  • Advanced Computational Techniques and Applications
  • Laser and Thermal Forming Techniques
  • Electrocatalysts for Energy Conversion
  • Industrial Technology and Control Systems
  • Thermochemical Biomass Conversion Processes
  • Domain Adaptation and Few-Shot Learning
  • Polyoxometalates: Synthesis and Applications
  • Lubricants and Their Additives
  • Cellular and Composite Structures

South China Agricultural University
2015-2025

Guizhou University
2015-2025

Shandong Agricultural University
2024-2025

Jiangnan University
2025

Gansu Coalfield Geology Bureau
2024

Shandong University
2023-2024

Weihai Chest Hospital
2024

North University of China
2023-2024

Key Laboratory of Guangdong Province
2024

Guangdong Baiyun University
2019-2023

The fluctuations of agricultural commodity prices have a great impact on people's daily lives as well the inputs and outputs production. An accurate forecast is therefore essential if authorities are to make scientific decisions. To more adaptively, this study proposes novel model selection framework which includes time series features horizons. Twenty-nine used depict three intelligent models specified candidate models; namely, artificial neural network (ANN), support vector regression...

10.1109/access.2020.2971591 article EN cc-by IEEE Access 2020-01-01

The most significant challenges in the laser additive manufacturing of high-nitrogen steel are nitrogen loss and pores, which significantly impact microstructure mechanical properties fabricated parts. In this paper, regulation mechanisms loss, microstructure, laser-directed energy deposition nickel-free stainless were systematically investigated. results indicate that gradually increases, porosity deposited samples first increases then decreases with increase heat input. These changes...

10.1080/17452759.2024.2445711 article EN cc-by Virtual and Physical Prototyping 2025-01-05

Chicken anemia virus (CAV), when primarily transmitted through the vertical route, could result in a significant global prevalence. Specifically, CAV transmission, especially newly-hatched chicks, may cause and immunosuppression, leading to losses poultry industry. Although infection of chick embryos is critical its pathogenicity these remains unclear. Herein, CAV-infected exhibited reduced hatchability rate, decreased embryo weight, anemia. Furthermore, histopathological findings revealed...

10.1016/j.psj.2025.104857 article EN cc-by-nc-nd Poultry Science 2025-01-01

The effects of the two types typical spatial laser beam profiles (SLBP), including super-Gaussian profile (SGP) and Gaussian (GP), on thermal-fluid transport during laser-based d...

10.1080/17452759.2021.1960734 article EN Virtual and Physical Prototyping 2021-07-04

The electric power industry is the key to achieving goals of carbon peak and neutrality. Accurate forecasting emissions in can aid prompt adjustment generation policies early achievement reduction targets. This study proposes a new approach that combines decomposition-ensemble paradigm with knowledge distillation forecast daily emissions. First, Seasonal Trend decomposition using Locally weighted scatterplot smoothing (STL) used decompose data into three subcomponents. Second, two...

10.1016/j.dsm.2023.09.001 article EN cc-by-nc-nd Data Science and Management 2023-09-06
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