Ding Liu

Restormer: Efficient Transformer for High-Resolution Image Restoration

Recent advances in physical reservoir computing: A review

Improving renewable energy policy planning and decision-making through a hybrid MCDM method

Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression

Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction

Optimal location selection for offshore wind-PV-seawater pumped storage power plant using a hybrid MCDM approach: A two-stage framework

Novel Extension of DEMATEL Method by Trapezoidal Fuzzy Numbers and D Numbers for Management of Decision-Making Processes

A novel hybrid decision making approach for the strategic selection of wind energy projects

Review on deep learning applications in frequency analysis and control of modern power system

Enhancement of Patient Facial Recognition through Deep Learning Algorithm: ConvNet

A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends

Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems

Biomass power generation fuel procurement and storage modes evaluation: A case study in Jilin

Investment risk evaluation for new energy resources: An integrated decision support model based on regret theory and ELECTRE III

Evaluating Green Supply Chain Management Practices Under Fuzzy Environment: A Novel Method Based on D Number Theory

A review on time series forecasting techniques for building energy consumption

Identification of Relevant Criteria Set in the MCDA Process—Wind Farm Location Case Study

Evaluating the sustainability of urban renewal projects based on a model of hybrid multiple-attribute decision-making

Object Detection With Deep Learning: A Review

A novel approach to extended fuzzy TOPSIS based on new divergence measures for renewable energy sources selection

D NUMBERS – FUCOM – FUZZY RAFSI MODEL FOR SELECTING THE GROUP OF CONSTRUCTION MACHINES FOR ENABLING MOBILITY

Novel machine learning applications on fly ash based concrete: An overview

Establishing environment sustentation strategies for urban and rural/town tourism based on a hybrid MCDM approach

Forecasting energy consumption and wind power generation using deep echo state network

Recognition of the optical packet header for two channels utilizing the parallel reservoir computing based on a semiconductor ring laser

The Application of Support Vector Machine in Load Forecasting

A Fast and Accurate Unconstrained Face Detector

A review of applications of artificial intelligent algorithms in wind farms

Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models

SHORT-TERM LOAD FORECASTING BASED ON WAVELET TRANSFORM AND LEAST SQUARE SUPPORT VECTOR MACHINES

Non-local recurrent network for image restoration

Linguistic hesitant fuzzy multi-criterion decision-making for renewable energy: A case study in Jilin

Risk identification and analysis for new energy power system in China based on D numbers and decision-making trial and evaluation laboratory (DEMATEL)

Short-term wind power prediction based on data mining technology and improved support vector machine method: A case study in Northwest China

Secure key distribution based on chaos synchronization of VCSELs subject to symmetric random-polarization optical injection

2D face fitting-assisted 3D face reconstruction for pose-robust face recognition