- Disaster Response and Management
- Disaster Management and Resilience
- Flood Risk Assessment and Management
- Housing Market and Economics
- Air Quality and Health Impacts
- Imbalanced Data Classification Techniques
- Air Quality Monitoring and Forecasting
- Traffic Prediction and Management Techniques
- Topic Modeling
- Big Data and Digital Economy
- Face and Expression Recognition
- Machine Learning and Data Classification
- Peripheral Artery Disease Management
- Brain Tumor Detection and Classification
- Advanced Algorithms and Applications
- Occupational exposure and asthma
- Military Defense Systems Analysis
- Indoor Air Quality and Microbial Exposure
- Financial Reporting and Valuation Research
- State Capitalism and Financial Governance
- Text and Document Classification Technologies
- Safety and Risk Management
- Economic Growth and Development
- Cognitive Computing and Networks
- Fecal contamination and water quality
National Yang Ming Chiao Tung University
2022-2024
Beijing Jiaotong University
2024
Beijing Institute of Technology
2024
Xi'an University of Architecture and Technology
2021-2024
Taishan University
2023
Beijing Normal University
2021
Dalian Polytechnic University
2019
Shaanxi Normal University
2014
Yang-En University
2011
University of British Columbia
2011
Floods are the most common hazard to cause disasters and have led extensive morbidity mortality throughout world. The impact of floods on human community is related directly location topography area, as well demographics characteristics built environment.The aim this study identify health impacts underlying causes associated with floods. A conceptual framework developed that may assist development a rational comprehensive approach prevention, mitigation, management.This involved an...
Flood is the most common natural disaster in Australia and causes more loss of life than any other disaster. This article describes incidence deaths directly associated with floods contemporary Australia.The present study compiled a database flood fatalities period 1997-2008 inclusive. The data were derived from newspapers historic accounts, as well government scientific reports. Assembled include date location fatalities, age gender victims circumstances death.At least 73 persons died...
This paper presents a state-of-the-art solution to the LT-EDI-ACL 2022 Task 4: Detecting Signs of Depression from Social Media Text. The goal this task is detect severity levels depression people social media posts, where often share their feelings on daily basis. To signs depression, we propose framework with pre-trained language models using rich information instead training scratch, gradient boosting and deep learning for modeling various aspects, supervised contrastive generalization...
The size of the population can be critical in many application genetic algorithm. And probabilities crossover and mutation have an effect on diversity convergence In this paper we propose adaptive method for probabilities, which change with varying size. This algorithm could make great progress searching global optimization. experimental results indicate some merits proposed method.
Most existing risk prediction methods focus on constructing element sets and analyzing their uncertainties but do not deeply explore the correlation types intensities of factors, resulting in large errors comprehensive results. In this paper, a new integrated method is proposed based tasks defense task planning execution. The approach mainly includes following steps: First, difference sequence mode action link tasks, three (hierarchical, synergistic, independent) are defined among them,...
In recent years, badminton analytics has drawn attention due to the advancement of artificial intelligence and efficiency data collection. While there is a line effective applications improve investigate player performance, are only few public datasets that can be used by researchers outside domain. Existing singles focus on specific matchups; however, they cannot provide comprehensive studies different players various matchups. this paper, we dataset, ShuttleSet22, which collected from...
Purpose The purpose of this paper is to propose and demonstrate criteria for omnibearing imbalance macroeconomic system structure (regions, industries, urban rural areas, departments, ownership, etc.) their strategic optimization, structural optimization the global regional system, providing universal application formula calculating, quantitative basis. Design/methodology/approach Relevant statistical data will compare receipts (GBC) model calculation quantitatively determine formation...
Self-supervised learning (SSL) has been incorporated into many state-of-the-art models in various domains, where SSL defines pretext tasks based on unlabeled datasets to learn contextualized and robust representations. Recently, a new trend exploring the representation capability realm of tabular data, which is more challenging due not having explicit relations for descriptive This survey aims systematically review summarize recent progress challenges non-sequential data (SSL4NS-TD). We...
As a key water source for urban landscape entertainment and miscellaneous municipal uses, the reuse safety of reclaimed has attracted much attention. Given deficiencies in current research on bacterial aerosol-related risks, this study conducted systematic spatial distribution law aerosols spraying environments exposure characteristics various populations through simulated experiments population surveys, basis, quantitatively evaluated inhalation risk aerosols. Results indicated that...
Information technology such as Internet, Internet of Things and mobile communication is the infrastructure information under network digital space. With increasingly completion technology, people can instantly access get in The cognition learning human brain achieve real-time synchronization with cyberspace. Digital cyberspace like an external a public brain, they are part brain's memory thinking. This paper defines summarizes attributes relationships three, moreover proposes action models...
The marketplace system connecting demands and supplies has been explored to develop unbiased decision-making in valuing properties. Real estate appraisal serves as one of the high-cost property valuation tasks for financial institutions since it requires domain experts appraise estimation based on corresponding knowledge judgment market. Existing automated models reducing subjectivity require a large number transactions effective evaluation, which is predominantly limited not only labeling...
The partial and complete periodic synchronization in coupled discontinuous map lattices consisting of both non-invertible maps are discussed. We classify three typical types states, which give rise to different spatiotemporal patterns including static synchronization, dynamically patterns. A special prelude dynamics motion, is shown by five separated concave curves the time series plots order parameters, observed. detailed analysis shows that induced competition between two synchronized...
Human beings live in the physical space, think and judge information act back space. Their thinking judgment greatly depend on accumulation environmental stimulation their spaces. Therefore, cognition actions are formed under guidance of both space Based three-element engineering model, this paper takes present characteristics time to reinterpret properties relationships among out-structure information. The findings analysis intended provide a precise guide for people individual or...
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The direct-billing collaboration between medical institutions and commercial health insurance is an internationally applied method of claims. This paper discusses the reasons why service currently limited, including trivial size hospitals’ concern on cost control, by taking practice in a certain hospital Wuhan as example. It also summarizes problems encountered operation, refusal to payment, risks excessive care, increasing costs acting against equalization principle service. author then...