A5055761370- Smart Agriculture and AI
- Advanced Photocatalysis Techniques
- Metaheuristic Optimization Algorithms Research
- Plant Stress Responses and Tolerance
- Evolutionary Algorithms and Applications
- Meat and Animal Product Quality
- Plant Gene Expression Analysis
- Advanced Neural Network Applications
- Spectroscopy and Chemometric Analyses
- Photosynthetic Processes and Mechanisms
- Copper-based nanomaterials and applications
- Advanced Image and Video Retrieval Techniques
- Proteins in Food Systems
- ZnO doping and properties
- Electronic and Structural Properties of Oxides
- Ammonia Synthesis and Nitrogen Reduction
- Hydrogen Storage and Materials
- Irrigation Practices and Water Management
- Horticultural and Viticultural Research
- Remote-Sensing Image Classification
- Machine Learning and ELM
- Advanced Multi-Objective Optimization Algorithms
- Covalent Organic Framework Applications
- Protein Hydrolysis and Bioactive Peptides
- Bee Products Chemical Analysis
Hangzhou Normal University
2023-2025
Shenyang Aerospace University
2023-2025
South China University of Technology
2017-2024
Jilin University
2019-2024
Jilin Province Science and Technology Department
2020-2024
Ministry of Industry and Information Technology
2023
Northwest A&F University
2020-2023
Shenyang Pharmaceutical University
2022
Zhuhai Institute of Advanced Technology
2022
Yueyang Changling Equipment Research Institute (China)
2022
Applying data mining techniques for rainfall modeling because of a lack sufficient memory components may increase uncertainty in forecasting. To solve this issue, research, deep-learning-based long short-term (LSTM) model is developed the first time forecasting monthly data, and its capability compared with random forest (RF) data-driven model. end, period 41 years (1980–2020) from two meteorological stations Turkey, namely Rize Konya, different climatic conditions, are used. The analysis...
This study investigated the effects of ultra-high pressure (UHP) at different levels on physicochemical properties, gelling and in vitro digestion characteristics myofibrillar protein (MP) Tai Lake whitebait. The α-helix gradually unfolded transformed into β-sheet as increased from 0 to 400 MPa. In addition, elastic modulus (G') viscous (G'') MPa-treated MP samples by 4.8 3.8 times, respectively, compared with control group. gel properties also significantly after UHP treatment, e.g.,...
The present study aimed to investigate the impact of temperature on quality attributes, particularly lipid oxidation and phospholipid molecular species, Tai Lake whitebait during hot-air drying. Fresh samples were subjected heat treatment dried at temperatures 40, 50, 60, 70 °C for 12 h. results indicated significant continuous increases in peroxide values (POV), thiobarbituric acid reactive substances (TBARS), saturated fatty acids (SFA) contents drying, but reductions monounsaturated...
Accurate diagnosis of corn crop diseases is a complex challenge faced by farmers during the growth and production stages corn. In order to address this problem, paper proposes method based on K-means clustering an improved deep learning model for accurately diagnosing three common leaves: gray spot, leaf rust. First, diagnose diseases, use algorithm cluster sample images then feed them into model. This investigates impact various k values (2, 4, 8, 16, 32, 64) models (VGG-16, ResNet18,...
Core–shell Co@C shows excellent catalytic effects on MgH<sub>2</sub>. JMA modeling reveals that desorption of MgH<sub>2</sub> gradually occurs through lower-dimensional growth with increasing amounts Co@C.
In this study, screening bacteriocin-producing strains from 2,000 plant-derived by agar well diffusion method was conducted. The corresponding produced bacteriocin purified and identified Sephadex gel chromatography, reversed-phase high-performance liquid chromatography (RP-HPLC), coupled with tandem mass spectrometry (LC-MS/MS). Meanwhile, the biological characteristics of were investigated. targeted strain W3-2 obtained as Lactobacillus plantarum morphological observation 16S rRNA gene...
Semisupervised object detection (SSOD) has garnered significant interest for its capability to enhance the performance by leveraging large amounts of unlabeled data. However, current SSOD methods primarily focus on detecting horizontal objects, with little research devoted arbitrary-oriented objects in remote sensing images. Drawing inspiration from this limitation, article proposes a semisupervised oriented framework (S <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Maize is a major global food crop and as one of the most productive grain crops, it can be eaten; also good feed for development animal husbandry essential raw material light industry, chemical medicine, health. Diseases are main factor limiting high stable yield maize. Scientific practical identification vital link to reduce damage diseases accurate segmentation disease spots fundamental techniques identification. However, single method cannot achieve effect meet diversity complexity spots....
Abstract Swarm salp algorithm is a swarm intelligence optimization enlightened by the movement and foraging behaviors of population. The (SSA) has simple structure fast processing speed can gain significant results on objective functions with fewer local optima. However, it poor exploration ability easy to suffer from optimal solutions, so performs poorly multimodal functions. Besides, its unfair balance exploitation another notable shortcoming. To ameliorate these shortcomings enhance...
Four diverse metal oxide nanoparticles are synthesized successfully and CoO nano-cubes show excellent electrochemical properties.