A5069116609- Disability Education and Employment
- Higher Education and Teaching Methods
- Multi-Criteria Decision Making
- Electrocatalysts for Energy Conversion
- Fuel Cells and Related Materials
- Topic Modeling
- Web Data Mining and Analysis
- Advanced Battery Technologies Research
- Family and Disability Support Research
- Forecasting Techniques and Applications
- Energy Load and Power Forecasting
- Service-Oriented Architecture and Web Services
- Educational Technology and Assessment
- Educational Technology and Pedagogy
- Educational and Psychological Assessments
- Disability Rights and Representation
- Air Quality Monitoring and Forecasting
- Cognitive Science and Mapping
- Information Retrieval and Search Behavior
- Solar Radiation and Photovoltaics
- Optimization and Search Problems
- Machine Learning in Healthcare
- Biomedical Text Mining and Ontologies
- Advanced Decision-Making Techniques
- Advanced Computational Techniques and Applications
City University of Hong Kong
2023-2024
Central South University
2007-2024
Wuhan University of Technology
2022-2023
Shantou University Medical College
2020-2022
Shantou University
2020-2022
Beijing Normal University
2005-2020
China University of Political Science and Law
2020
Alibaba Group (China)
2017-2019
Yunnan Normal University
2007-2012
Yinchuan First People's Hospital
2012
In the 'Big Data' era, many real-world applications like search involve ranking problem for a large number of items. It is important to obtain effective results and at same time efficiently in timely manner providing good user experience saving computational costs. Valuable prior research has been conducted learning rank cascade (learning) model, which uses sequence functions progressively filter some items remaining However, most existing studied relatively small computing environments with...
Proton exchange membrane fuel cell (PEMFC) is a new type of clean energy with great development potential. However, as working time increase, the output power PEMFC will then be reduced. By predicting degradation trend, faults can detected in advance to ensure continuous and efficient FC. In this paper, convolutional neural network (CNN) bidirectional recurrent (BiRNN) are integrated into (CNN-BiRNN) model for voltage remaining useful life (RUL) prediction PEMFC. The validated by aging test...
Automatic Modulation Classification (AMC) is a crucial task in the field of wireless communication, allowing for identification modulation scheme received radio signal without prior knowledge communication system. Recently, AMC approaches based on Deep Learning (DL) have achieved outstanding results. However, majority current DL-based methods face challenges achieving high recognition accuracy while remaining computationally efficient. Some researchers designed autoencoder-based models to...
This study examines the psychometric properties of Mental Retardation Attitude Inventory-Revised (MRAI-R; Antonak & Harth) in Chinese college students. The research questions included: (1) Is MRAI-R a reliable measure for student? (2) related to familiarity with people intellectual disabilities (PWID) and professional training? (3) Does four-factor model fit student data?Five hundred thirty-four students from China participated study. Descriptive, Pearson product-moment correlation, Cronbach...
"Learning in a regular classroom" (LRC) is an educational policy adopted by the Chinese government for solving problem of enrollment children with disabilities general education schools. Better services are currently being provided classrooms students as this initiative progresses. This paper briefly reviews history LRC China, examines its current situation and issues, puts forward some perspectives on development China.
We aim to create a holistic competency-based assessment system measure competency evolution over time - one of the first such systems in China.Two rounds self-reported surveys were fielded among graduates from Shantou University Medical College: June through December 2017, and May August 2018. Responses three cohorts specializing clinical medicine new graduates, resident physicians, senior physicians analyzed. Gaps between respondents' expected existing levels competencies examined using...
Abstract As a promising energy conversion device, the proton exchange membrane fuel cell (PEMFC) has been widely used in many fields. However, its commercialization is limited by useful lifetime, so it's very important to predict remaining lifetime (RUL). In this paper, an RUL prediction method of PEMFC based on convolutional neural network (CNN) and long short‐term memory (LSTM) proposed. First, for data processing, we use Savitzky‐Golay smooth datasets, box plot remove outliers, Z‐score...
The purpose of the study was to explore relationships between traditional Chinese values and attitudes toward people with intellectual disabilities. A total 534 college students in China participated study. Two instruments that measure disabilities were used. Results indicated value cultivation virtues (benevolence, humanity, a sense justice) positively related disabilities; social traditionalism cultural inwardness (cultural superiority intolerance) negatively correlated Additionally,...
Since traffic congestion during peak hours has become the norm in daily life, research on short-term flow forecasting attracted widespread attention that can alleviate urban congestion. However, existing ignores uncertainty of forecasting, which will affect accuracy and robustness models. Therefore, this paper proposes a algorithm combining cloud model fuzzy inference system an uncertain environment, uses idea to process data describe its randomness fuzziness at same time. First, c-means is...
A podcast combines the liveliness of a FM radio channel with economy Internet blog posting. They are especially convenient for scenarios when there is limited internet ability and connectivity example in car, gym, etc. While both volume heterogeneity content huge it becomes operationally difficult to manually categorize or tag these audio items, thus manage them system users discover. Furthermore, due incompleteness associated meta data not enough features typical recommender learn item...
Abstract The stochastic configuration network (SCN), a type of randomized learning algorithm, can solve the infeasible problem in random vector functional link (RVFL) by establishing supervisory mechanism. advantages fast learning, convergence and not easily falling into local optima make SCN popular. However, prediction effect is affected parameter settings nonstationarity input data. In this paper, hybrid model based on variational mode decomposition (VMD), improved whale optimization...
Mesoporous molecular sieves, MCM‐41, were synthesized from sepiolite using acid leaching, followed by hydrothermal reconstruction and then calcinations at 540°C for 5 h. The structures the porosity of MCM‐41 investigated means small‐angle X‐ray diffraction patterns, Brunaer‐Emmett‐Teller (BET), 29 Si MAS NMR, Fourier transform infrared (FTIR), high resolution transmission electron microscope (HRTEM) methods. results showed that hexagonal was formed in an alkaline solution pH 12, when...