A5101446242- Anomaly Detection Techniques and Applications
- Energy Efficient Wireless Sensor Networks
- Traffic Prediction and Management Techniques
- Personal Information Management and User Behavior
- Remote-Sensing Image Classification
- AI in cancer detection
- Advanced Algorithms and Applications
- Network Traffic and Congestion Control
- Wireless Sensor Networks and IoT
- Time Series Analysis and Forecasting
- Advanced Sensor and Control Systems
- Face and Expression Recognition
- Stock Market Forecasting Methods
- Computational Drug Discovery Methods
- Topic Modeling
- Educational Technology and Pedagogy
- Energy Load and Power Forecasting
- Advanced Text Analysis Techniques
- Power System Reliability and Maintenance
- Railway Systems and Energy Efficiency
- Enhanced Recovery After Surgery
- Software-Defined Networks and 5G
- Software Reliability and Analysis Research
- Safety Systems Engineering in Autonomy
- Economic and Financial Impacts of Cancer
Inner Mongolia University of Technology
2023
NARI Group (China)
2009-2022
Jiangxi University of Traditional Chinese Medicine
2021
Impact
2021
Triological Society
2021
Shanghai Electric (China)
2018-2021
Princess Margaret Cancer Centre
2012-2020
University of Toronto
2020
Public Health Ontario
2020
University Health Network
2020
Research supports the potential use of microbiome as a predictor some diseases. Motivated by findings that data is complex in nature, and there an inherent correlation due to hierarchical taxonomy microbial Operational Taxonomic Units (OTUs), we propose novel machine learning method incorporating stratified approach group OTUs into phylum clusters. Convolutional Neural Networks (CNNs) were used train within each clusters individually. Further, through ensemble approach, features obtained...
Traditional physical education methods are unable to meet this requirement due the practical nature of sports skill teaching. As a result, as times demanded, flipped classroom based on neural network technology arose. It has potential not only promote modernization but also ensure that it positive educational impact. This is mode instruction. Furthermore, colleges and universities increasingly focusing college students’ overall quality development. A method for predicting performance using...
This study is based on the BP neural network regression model optimised by genetic algorithm and dedicated to predicting amount of car purchase, this important for all parties in automotive industry. By plotting violins six indicators, including gender, age, annual salary, credit card debt, net worth, purchase amount, we found that, except other data showed a trend dense middle gradually decreasing upper lower sides, with an overall normal distribution. The correlation analysis shows that...
In view of textual remote sensing image classification, a classification approach based on Extreme Learning Machine (ELM) in introduced. As the performance ELM is mainly affected by value input weights and hidden biases genetic algorithm (GA) particle swarm optimization (PSO) have been used to learn these parameters for order improve stability extreme learning machine. However, algorithms are easy fall into local optimum themselves. Therefore, newly proposed hybrid rice (HRO) train best...
The healthcare benefits associated with regular physical activity recognition and monitoring have been considered in several research studies. Regular of health status can potentially assist managing reducing the risk many diseases such as cardiovascular disease, diabetes, obesity. Using equipment hospitals, people conduct examinations to check their status. However, most time, it is difficult reach a specific medical environment use special equipment. In this paper, deep learning framework...
Abstract Background Being able to predict negative postoperative outcomes is important for helping select patients treatment as well informed decision‐making by patients. Frailty measures are often time and resource intensive use screening measures, whereas the Braden scale, a commonly used measure assess at risk of developing pressure ulcers after surgery, may be potential tool complication rates longer length stay (LOS) in undergoing major head neck cancer surgery. Methods A retrospective...
Since 2006, the empiric use of azithromycin in women at risk premature birth has become prevalent our institution without any evidence its efficacy. Although antibiotics can prolong pregnancy preterm prolonged rupture membranes, no published data are available for with intact membranes.To describe purpose adding to usual treatments (cerclage, tocolysis, rest, etc.) membranes who or already labour.A retrospective observational cohort study was done a Mother-Child University Hospital Centre....
7 Background: Health utility values (HUVs) play an integral role when conducting health economic analyses, but a paucity of reference HUVs exists for cancer patients. Using EQ-5D, we generated multiple malignancies. We further assessed patient willingness to compete the instrument on regular basis by adding EQ-5D Ontario-wide patient-reported symptom tool mandated Cancer Care Ontario, provincial government agency. Methods: 1,831 patients across all non-CNS solid and hematologic sites at...
The common toxicity and societal bias in contents generated by large language models (LLMs) necessitate strategies to reduce harm. Present solutions often demand white-box access the model or substantial training, which is impractical for cutting-edge commercial LLMs. Moreover, prevailing prompting methods depend on external tool feedback fail simultaneously lessen bias. Motivated social psychology principles, we propose a novel strategy named \textbf{perspective-taking (\textsc{PeT})} that...
A fast loss recovery scheme for IP multicast services is presented in this paper. In scheme, the head field of retransmission request packets contains one-way delay between requestor and sender lost packet, repair repairer requestor. Each member group compares its own to or with those advertised packets, decides how long it should wait before sending a packet next round. This distributed request/repair timer setting algorithm shows significant performance gains terms latency number...
In recent years, competitive aerobics has developed rapidly in my country, and the corresponding sports injury risks have gradually increased. A number of studies shown that due to characteristics itself, difficult movement requirements, fast-paced music accompaniment coherent coordinated movements, athletes will suffer injuries if they are not paying attention. Therefore, discovering causes athletes’ time preventing them is crucial for improving skill level prolonging life. Through...
318 Background: Canadians are among the highest users of Internet. Online health information resources easily accessible and provide quick information, but concerns exist about their role within a physician–patient relationship. Methods: Cancer patients across multiple disease sites, recruited from regional cancer center, were interviewed regarding internet use for health-related data. Descriptive statistics characterized online resource usage. Univariate multivariate logistic regression...
Abstract Accurate railway passenger volume prediction plays an important role in the development of transport industry. Taking national as example, based on data 2005-2017, LSTM neural network model is established. The results are compared with actual situation, and relative error rate analyzed. show that has low good effect.
Electrical coordinate based on impedance electrical distance is an effective feature expression method of fault location. Applied to data-driven dynamic security assessment, can improve assessment accuracy significantly. Based the concept system, expansion system proposed, which further improves assessment. First, reasons why representation low in partial areas are analyzed. The blind point, line, and area for location defined. Then, by analyzing relationship between two points, judgment...
In the feature expression of fault location in data-driven dynamic security assessment, Euclidean distance is generally used to measure between features. However, cannot accurately reflect electrical relationship described locations, which limits further improvement accuracy assessment. This paper proposes concept strict preservation Based on based coordinate system, mathematical definition coordinates constructed. metric p-norm, conjecture that Chebyshev only satisfy proposed and proved....
Object detection in remote sensing images is a challenging task field of computer vision since performance negatively influenced by complicated background and various object size. However, most studies have only focused on appearance, with few taking into account scene information, which closely related to existence category objects. In this paper, we put forward new method integrating information aim generating more powerful feature. Specifically, made use GRU cell, special kind RNN, order...