A5011266256- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- Bayesian Methods and Mixture Models
- Environmental Impact and Sustainability
- Climate Change Policy and Economics
- Advanced Measurement and Detection Methods
- Geochemistry and Geologic Mapping
- Advanced Causal Inference Techniques
- Domain Adaptation and Few-Shot Learning
- Control Systems and Identification
- Air Quality and Health Impacts
- Probabilistic and Robust Engineering Design
- Environmental and Social Impact Assessments
- Energy Load and Power Forecasting
- Extraction and Separation Processes
- Fault Detection and Control Systems
- Recycling and Waste Management Techniques
- Global trade and economics
- Diverse Aspects of Tourism Research
- Spatial and Panel Data Analysis
- Advanced Neural Network Applications
- Insurance, Mortality, Demography, Risk Management
- COVID-19 epidemiological studies
Capital Normal University
2016-2025
Central South University
2024-2025
Northwestern Polytechnical University
2025
Hubei University
2023-2024
City University of Hong Kong
2024
Guizhou University
2019-2024
PLA Information Engineering University
2022-2024
Peking University
2024
Zhongnan Hospital of Wuhan University
2023
University of Electronic Science and Technology of China
2023
Taxi-booking apps have been very popular all over the world as they provide convenience such fast response time to users. The key component of a taxi-booking app is dispatch system which aims optimal matches between drivers and riders. Traditional systems sequentially taxis riders aim maximize driver acceptance rate for each individual order. However, traditional may lead low global success rate, degrades rider experience when using app. In this paper, we propose novel that attempts...
Data augmentation is usually adopted to increase the amount of training data, prevent overfitting and improve performance deep models. However, in practice, random data augmentation, such as image cropping, low-efficiency might introduce many uncontrolled background noises. In this paper, we propose Weakly Supervised Augmentation Network (WS-DAN) explore potential augmentation. Specifically, for each image, first generate attention maps represent object's discriminative parts by weakly...
Soil contamination by metals and metalloids (metal[loid]s) is a global issue with significant risks to human health, ecosystems, food security. Accurate risk assessment depends on understanding metal(loid) mobility, which dictates bioavailability environmental impact. Here we show theory-guided machine learning model that predicts soil fractionation across the globe. Our identifies total content organic carbon as primary drivers of mobility. We find 37% world's land at medium-to-high...
Interval-censored failure time data arise in a number of fields and many authors have discussed various issues related to their analysis. However, most the existing methods are for univariate there exists only limited research on bivariate data, especially regression analysis interval-censored data. We present class semiparametric transformation models problem inference, sieve maximum likelihood approach is developed. The model provides great flexibility, particular including commonly used...
The reusability of leachate is realized during the hydrometallurgical recycling spent LIBs based on dynamic regulation K sp .
Journal Article Sieve maximum likelihood regression analysis of dependent current status data Get access Ling Ma, Ma Department Statistics, University Missouri, Columbia, Missouri 65211, U.S.A., lingma@mizzou.edu sunj@missouri.edu Search for other works by this author on: Oxford Academic Google Scholar Tao Hu, Hu School Mathematical Sciences, Capital Normal University, Beijing 100048, China, hutaomath@foxmail.com Jianguo Sun U.S.A. Biometrika, Volume 102, Issue 3, September 2015, Pages...
Identification of constant coefficients in a semi-varying coefficient model is an important issue (Zhang et al (2002)). We propose novel method for this by combining local polynomial smoothing (Fan and Zhang (1999)) with shrinkage estimation (Tibshirani (1996)). Unlike the stepwise procedure (Xia, Zhang, Tong (2004)), our can identify estimate simultaneously. By imposing adaptive LASSO penalty starting Nadaraya-Watson estimator, varying consistently, oracle efficiency Li (2001)).
The present study proposes an integrated multipollutant cocontrol strategy framework in the context of Chinese iron and steel industry. unit cost pollutant reduction (UCPR) was used to examine cost-effectiveness each emission measure. marginal abatement (MAC) curves for SO2, NOx, PM2.5, CO2 were drawn based on UCPR potential. Air equivalence (APeq) captures nature damage value-weights various air pollutants acts as uniformization multiple index. Single routes designed accordance with...
Abstract Applying antibacterial polymers and pro‐regenerative small molecules are two individual strategies for accelerating wound healing. However, integrating those unique approaches into one therapeutic platform that meets clinical requirements is still a challenge. Herein, series of gelatin methacrylate (GelMA)/ε‐polylysine (ε‐PL) composite hydrogels (termed as GP‐n HGs, n = 0, 10, 20, 30, respectively) innovatively fabricated by ultraviolet light (UV) crosslinking. The HGs proved to be...
Abstract Soil moisture is a key factor affecting crop growth and yield. Information on soil critical for monitoring yield estimation. This study evaluated the OPtical TRApezoid Model (OPTRAM) estimates in Sanjiang Plain, China, using Moderate Resolution Imaging Spectroradiometer (MODIS) data situ acquired from May to September 2016 2017. model was empirically calculated by parameterizing relationship between normalized difference vegetation index (NDVI) shortwave infrared transformed...
Drought is an extreme climate phenomenon that has a great impact on the economy, tourism, agriculture, and water resources. prediction can provide early warning of occurrence drought reduce losses. In this article, standard precipitation evapotranspiration index (SPEI) four time scales: SPEI-3, SPEI-6, SPEI-9, SPEI-12 are used to measure predict drought. Unlike general methods directly modeling SPEI index, time-series imaging feature-based transfer learning extract features sequence use...
Microgrid has flexible composition, a complex operation mechanism, and large amount of data while operating. However, optimization methods microgrid scheduling do not effectively accumulate utilize the knowledge at present. This paper puts forward optimal method based on Deep Deterministic Policy Gradient (DDPG) Transfer Learning (TL). uses Reinforcement (RL) to learn strategy accumulates corresponding knowledge. Meanwhile, DDPG model is introduced extend action from discrete space...
Recently, realizing machine learning (ML)-based technologies with the aid of mobile edge computing (MEC) in vehicular network to establish an intelligent transportation system (ITS) has gained considerable interest. To fully utilize data and onboard units vehicles, it is possible implement federated (FL), which can locally train model centrally aggregate results, (VEC) for a vision connected autonomous vehicles. In this article, we review present concept FL introduce general architecture...