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Research on Wind Power Short-Term Forecasting Method Based on Temporal Convolutional Neural Network and Variational Modal Decomposition

Sensors (Basel, Switzerland), 2022-09, Vol.22 (19), p.7414

2022

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Design and Implementation of a Lightweight Deep CNN-Based Plant Biometric Authentication System

IEEE access, 2023, Vol.11, p.79984-79993

2023

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GSH-activable heterotrimeric nano-prodrug for precise synergistic therapy of TNBC

Biomedicine & pharmacotherapy, 2024-04, Vol.173, p.116375-116375, Article 116375

2024

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Artificial intelligence-based needs analysis for english specific purposes in digital environment

Learning and motivation, 2023-08, Vol.83, p.101914, Article 101914

Tang, Jingwei

2023

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A novel Bayesian ensembling model for wind power forecasting

Heliyon, 2022-11, Vol.8 (11), p.e11599-e11599, Article e11599

2022

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Design of a Bearingless Outer Rotor Induction Motor

Energies (Basel), 2017-05, Vol.10 (5), p.705

2017

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High-quality-draft genome sequence of the heavy metal resistant and exopolysaccharides producing bacterium Mucilaginibacter pedocola TBZ30T

Environmental microbiome, 2018-11, Vol.13

2018

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Input of Chunks and Its Effects on L2 Learners’ Listening Competency

Theory and practice in language studies, 2013-07, Vol.3 (7), p.1264

Tang, Jingwei

2013

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Frontal-posterior functional imbalance and aberrant function developmental patterns in schizophrenia

Translational psychiatry, 2021-09, Vol.11 (1), p.495-495, Article 495

2021

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A Review on the Research of English Reading Theories--A Perspective from Second Language Acquisition

Language in India, 2022-06, Vol.22 (6), p.93

Tang, Jingwei

2022

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A Review on the Research of English Reading Theories --A Perspective from Second Language Acquisition

Language in India, 2022-05, Vol.22 (5), p.190

Tang, Jingwei

2022

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A Physics-Aware Neural Network Approach for Flow Data Reconstruction From Satellite Observations

Frontiers in climate, 2021-04, Vol.3

2021

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A novel wind power probabilistic forecasting approach based on joint quantile regression and multi-objective optimization

Renewable energy, 2020-04, Vol.149, p.141-164

2020

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Training Model and Quality of College Students in English Major

International journal of emerging technologies in learning, 2021-01, Vol.16 (4), p.152

Tang, Jingwei

2021

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Artificial Intelligence System Detection in English Teaching Based on Heuristic Genetic Algorithm

Computational intelligence and neuroscience, 2022-08, Vol.2022, p.1-8

2022

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A novel time series probabilistic prediction approach based on the monotone quantile regression neural network

Information sciences, 2024-01, Vol.654, p.119844, Article 119844

2024

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Conformalized temporal convolutional quantile regression networks for wind power interval forecasting

Energy (Oxford), 2022-06, Vol.248, p.123497, Article 123497

2022

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The Design Model of English Graded Teaching Assistant Expert System Based on Improved B/S Three-Tier Structure System

Mobile information systems, 2022-05, Vol.2022, p.1-9

2022

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Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network

IEEE transactions on sustainable energy, 2024-07, Vol.15 (3), p.1946-1956

2024

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A Case Study on the Effectiveness of Applying Content and Language Integrated Learning in an Artificial Intelligence English Reading Course

Arab world English journal, 2022-09, Vol.13 (3), p.236-253

2022

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A novel transformer ordinal regression network with label diversity for wind power ramp events forecasting

Energy (Oxford), 2023-10, Vol.280, p.128075, Article 128075

2023

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Research and application of a hybrid model based on Meta learning strategy for wind power deterministic and probabilistic forecasting

Energy conversion and management, 2018-10, Vol.173, p.197-209

2018

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A new wind power interval prediction approach based on reservoir computing and a quality-driven loss function

Applied soft computing, 2020-07, Vol.92, p.106327, Article 106327

2020

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Learning-Based Sampling for Natural Image Matting

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.3050-3058

2019

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Integrating a softened multi-interval loss function into neural networks for wind power prediction

Applied soft computing, 2021-12, Vol.113, p.108009, Article 108009

2021

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Research on Wind Power Short-Term Forecasting Method Based on Temporal Convolutional Neural Network and Variational Modal Decomposition

Design and Implementation of a Lightweight Deep CNN-Based Plant Biometric Authentication System

GSH-activable heterotrimeric nano-prodrug for precise synergistic therapy of TNBC

Artificial intelligence-based needs analysis for english specific purposes in digital environment

A novel Bayesian ensembling model for wind power forecasting

Design of a Bearingless Outer Rotor Induction Motor

High-quality-draft genome sequence of the heavy metal resistant and exopolysaccharides producing bacterium Mucilaginibacter pedocola TBZ30T

Input of Chunks and Its Effects on L2 Learners’ Listening Competency

Frontal-posterior functional imbalance and aberrant function developmental patterns in schizophrenia

A Review on the Research of English Reading Theories--A Perspective from Second Language Acquisition

A Review on the Research of English Reading Theories --A Perspective from Second Language Acquisition

A Physics-Aware Neural Network Approach for Flow Data Reconstruction From Satellite Observations

A novel wind power probabilistic forecasting approach based on joint quantile regression and multi-objective optimization

Training Model and Quality of College Students in English Major

Artificial Intelligence System Detection in English Teaching Based on Heuristic Genetic Algorithm

A novel time series probabilistic prediction approach based on the monotone quantile regression neural network

Conformalized temporal convolutional quantile regression networks for wind power interval forecasting

The Design Model of English Graded Teaching Assistant Expert System Based on Improved B/S Three-Tier Structure System

Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network

A Case Study on the Effectiveness of Applying Content and Language Integrated Learning in an Artificial Intelligence English Reading Course

A novel transformer ordinal regression network with label diversity for wind power ramp events forecasting

Research and application of a hybrid model based on Meta learning strategy for wind power deterministic and probabilistic forecasting

A new wind power interval prediction approach based on reservoir computing and a quality-driven loss function

Learning-Based Sampling for Natural Image Matting

Integrating a softened multi-interval loss function into neural networks for wind power prediction

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