A5051449178- Remote Sensing and Land Use
- Data Management and Algorithms
- Anomaly Detection Techniques and Applications
- Transportation Planning and Optimization
- Thermal properties of materials
- Crop Yield and Soil Fertility
- Network Security and Intrusion Detection
- Organic Light-Emitting Diodes Research
- Flood Risk Assessment and Management
- Organic Electronics and Photovoltaics
- Technology and Security Systems
- Hydrological Forecasting Using AI
- Chalcogenide Semiconductor Thin Films
- Wireless Sensor Networks and IoT
- Web Applications and Data Management
- Environmental and Agricultural Sciences
- Simulation and Modeling Applications
- Machine Learning in Bioinformatics
- Hydrology and Watershed Management Studies
- Advanced Algorithms and Applications
- Advanced Thermoelectric Materials and Devices
- Conducting polymers and applications
- Transportation and Mobility Innovations
Xenobe Research Institute
2025
Xinjiang University
2024
Chinese Academy of Sciences
2001-2020
Institute of Physics
2020
State Key Laboratory of Polymer Physics and Chemistry
2001
Changchun Institute of Applied Chemistry
2001
Organic electroluminescent devices with a structure of ITO/ploy (9-vinylcarbazole)/tris (8-hydroxyquinoline) aluminum (Alq3)/Mg:Ag are fabricated at different substrate temperatures (77, 298, and 438 K) during Alq3 deposition. It is found that the surface morphologies thin films greatly affect I–V characteristics by contact area between metal cathode light-emitting layer. There an increase in luminous efficiency order 77 K<298 K<438 K. We attribute this trend to structures films.
<title>Abstract</title> Flood disasters are characterized by high frequency, severe destructive power, and extensive impact. The prediction of flood holds great significance. This paper proposes a disaster model based on multi-layer perceptron (MLP). Firstly, the employs Spearman correlation coefficient random forest feature importance algorithm to identify most influential indicators. Subsequently, an MLP neural network is established, trained, optimized. Experimental findings demonstrate...
<title>Abstract</title> This paper presents a multi-stage crop planting strategy optimization model utilizing the Particle Swarm Optimization (PSO) algorithm. The aims to address key challenges in agriculture, such as fluctuating market demands, climate variability, and rising production costs. Over seven-year planning horizon (2024–2030), dynamically adjusts strategies by integrating factors like yield, prices, rotation. proposed framework optimizes both selection area allocation maximize...
The route planning problem based on the greedy algorithm represents a method of identifying optimal or near-optimal between given start point and end point. In this paper, PCA is employed initially to downscale city evaluation indexes, extract key principal components, then data using KMO TOPSIS algorithms, all which are MindSpore framework. Secondly, for dataset that does not pass test, entropy weight will be comprehensive evaluation. Finally, proposed optimised algorithm, provides...
Abstract Flood disasters are characterized by high frequency, severe destructive power, and extensive impact. The prediction of flood holds great significance. This paper proposes a disaster model based on multi-layer perceptron (MLP). Firstly, the employs Spearman correlation coefficient random forest feature importance algorithm to identify most influential indicators. Subsequently, an MLP neural network is established, trained, optimized. Experimental findings demonstrate that accurately...