A5101660119- Water Quality Monitoring and Analysis
- Data Mining Algorithms and Applications
- Technology and Security Systems
- Advanced Neural Network Applications
- Coal Properties and Utilization
- Sports Analytics and Performance
- Video Analysis and Summarization
- Spectroscopy and Chemometric Analyses
- Rough Sets and Fuzzy Logic
- Imbalanced Data Classification Techniques
- Rock Mechanics and Modeling
- Advanced Computational Techniques and Applications
- Water Quality Monitoring Technologies
- Methane Hydrates and Related Phenomena
- Vehicle License Plate Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Data Storage Technologies
- Electricity Theft Detection Techniques
- Domain Adaptation and Few-Shot Learning
- Distributed and Parallel Computing Systems
- Remote Sensing in Agriculture
Henan Polytechnic University
2025
Hainan University
2025
Wuhan University of Technology
2022
Jiangsu University of Science and Technology
2021
National University of Defense Technology
2018
Shanxi University
2006
For freezing method for rock cross-cut coal uncovering, heat transfer in body has an essential role predicting effective distance. Thermal conductivity is the critical variable to characterize water-bearing bodies. Therefore, a hyperbolic thermal model with three parameters presented compute its change rule, moisture-bearing temperature, and this model, artificial neural network (ANN) utilized obtain by optimizing influencing factors of dry density, moisture content, specific surface area,...
Leaf nitrogen content is a critical quantitative indicator for the growth of rubber trees, and accurately determining this holds significant value agricultural management precision fertilization. This study introduces novel feature extraction framework—SFS-CAE—that integrates Sequential Feature Selection (SFS) method with Convolutional Autoencoder (CAE) technology to enhance accuracy estimation. Initially, SFS algorithm was employed select spectral bands from hyperspectral data collected...
Convolutional Neural Networks (CNNs) have attracted significant attention in visual recognition. To fully exploit the potential advantages of CNN models for image classification, this paper introduces several new ideas, ranging from feature generation to classifier selection. We start by transforming existing into convolutional networks (FCNs). This eliminates restriction resolution and improves efficiency data augmentation. Next, we propose a cross pooling strategy aggregate top-layer...
Class imbalance learning (CIL) is an important branch of machine as, in general, it difficult for classification models to learn from imbalanced data; meanwhile, skewed data distribution frequently exists various real-world applications. In this paper, we introduce a novel solution CIL called Probability Density Machine (PDM). First, the context Gaussian Naive Bayes (GNB) predictive model, analyze reason why makes performance model decline theory and draw conclusion regarding impact class...
With the explosive growth of total amount global information data, centralized heat dissipation subsea data center servers has become a mainstream. In this paper, container storage optimization model based on convective transfer is established to obtain maximum number that can be stored in single container. Firstly, conduction equation between and sea water obtained by using Fourier law Newton cooling, definite solution condition determined. Then, server temperature volume constraints....