Search Results - "Tang, Jingwei"

Refine Results
  1. 1

    Application and Evaluation of Artificial Intelligence Technology in Collegiate Soccer Sports by Tang, Jingwei

    Published in Applied mathematics and nonlinear sciences (01-01-2024)
    “…This paper discusses the development of school soccer with the help of artificial intelligence. Propose a machine learning-based action feature extraction…”
    Get full text
    Journal Article
  2. 2

    Research on Wind Power Short-Term Forecasting Method Based on Temporal Convolutional Neural Network and Variational Modal Decomposition by Tang, Jingwei, Chien, Ying-Ren

    Published in Sensors (Basel, Switzerland) (29-09-2022)
    “…Wind energy reserves are large worldwide, but their randomness and volatility hinder wind power development. To promote the utilization of wind energy and…”
    Get full text
    Journal Article
  3. 3

    Design and Implementation of a Lightweight Deep CNN-Based Plant Biometric Authentication System by Yan, Wenqing, Tang, Jingwei, Stucki, Sandro

    Published in IEEE access (2023)
    “…The wide application of personal biometric information such as face, fingerprint, iris, and voiceprint has simultaneously created many new ethical and legal…”
    Get full text
    Journal Article
  4. 4

    GSH-activable heterotrimeric nano-prodrug for precise synergistic therapy of TNBC by Zhang, Xiaojing, Chen, Yansong, Tang, Jingwei, Chen, Chen, Sun, Yanfeng, Zhang, Hao, Qiao, Mengxiang, Jin, Gongsheng, Liu, Xianfu

    Published in Biomedicine & pharmacotherapy (01-04-2024)
    “…Combination chemotherapy is an effective approach for triple-negative breast cancer (TNBC) therapy, especially when drugs are administered at specific optimal…”
    Get full text
    Journal Article
  5. 5

    A novel Bayesian ensembling model for wind power forecasting by Tang, Jingwei, Hu, Jianming, Heng, Jiani, Liu, Zhi

    Published in Heliyon (01-11-2022)
    “…Precise and robust wind power prediction can effectively alleviate the problem caused by the randomness and volatility of wind power. Ensemble learning can…”
    Get full text
    Journal Article
  6. 6

    Design of a Bearingless Outer Rotor Induction Motor by Sun, Yuxin, Tang, Jingwei, Shi, Kai

    Published in Energies (Basel) (17-05-2017)
    “…A bearingless induction (BI) motor with an outer rotor for flywheel energy storage systems is proposed due to the perceived advantages of simple rotor…”
    Get full text
    Journal Article
  7. 7

    Cross-sectional survey of gender differences in gross motor skills among preschool children in Jinhua City, China by Chen, Biqing, Liu, Yubo, Tang, Jingwei, Wang, Jing, Hong, Feng, Ye, Weibing

    Published in Heliyon (01-11-2024)
    “…While gender differences in ball skills are widely recognized, the differences in locomotor skills remain unclear. This study aims to explore these gender…”
    Get full text
    Journal Article
  8. 8

    High-quality-draft genome sequence of the heavy metal resistant and exopolysaccharides producing bacterium Mucilaginibacter pedocola TBZ30T by Fan, Xia, Tang, Jingwei, Nie, Li, Huang, Jing, Wang, Gejiao

    Published in Standards in genomic sciences (28-11-2018)
    “…Mucilaginibacter pedocola TBZ30.sup.T (= CCTCC AB 2015301.sup.T = KCTC 42833.sup.T) is a Gram- negative, rod-shaped, non-motile and non-spore-forming bacterium…”
    Get full text
    Journal Article
  9. 9

    Frontal-posterior functional imbalance and aberrant function developmental patterns in schizophrenia by Sun, Dandan, Guo, Huiling, Womer, Fay Y., Yang, Jingyu, Tang, Jingwei, Liu, Juan, Zhu, Yue, Duan, Jia, Peng, Zhengwu, Wang, Huaning, Tan, Qingrong, Zhu, Qiwen, Wei, Yange, Xu, Ke, Zhang, Yanbo, Tang, Yanqing, Zhang, Xizhe, Xu, Fuqiang, Wang, Jie, Wang, Fei

    Published in Translational psychiatry (27-09-2021)
    “…Schizophrenia (SZ) is a neurodevelopmental disorder. There remain significant gaps in understanding the neural trajectory across development in SZ. A major…”
    Get full text
    Journal Article
  10. 10

    A Physics-Aware Neural Network Approach for Flow Data Reconstruction From Satellite Observations by Schweri, Luca, Foucher, Sebastien, Tang, Jingwei, Azevedo, Vinicius C., Günther, Tobias, Solenthaler, Barbara

    Published in Frontiers in climate (09-04-2021)
    “…An accurate assessment of physical transport requires high-resolution and high-quality velocity information. In satellite-based wind retrievals, the accuracy…”
    Get full text
    Journal Article
  11. 11

    Artificial intelligence-based needs analysis for english specific purposes in digital environment by Tang, Jingwei

    Published in Learning and motivation (01-08-2023)
    “…Based on the needs theory, this study investigates the needs of learners, schools and society for English for specific purposes (ESP) based on artificial…”
    Get full text
    Journal Article
  12. 12

    A novel wind power probabilistic forecasting approach based on joint quantile regression and multi-objective optimization by Hu, Jianming, Tang, Jingwei, Lin, Yingying

    Published in Renewable energy (01-04-2020)
    “…Probabilistic forecasts of wind power generation play a significant role in operation management and decision-making for wind power producers and power system…”
    Get full text
    Journal Article
  13. 13

    Artificial Intelligence System Detection in English Teaching Based on Heuristic Genetic Algorithm by Tang, Jingwei, Deng, Yi

    “…Using the traditional English teaching mode is difficult to help correct students, and it is difficult to achieve human-computer interaction in oral English…”
    Get full text
    Journal Article
  14. 14
  15. 15

    Conformalized temporal convolutional quantile regression networks for wind power interval forecasting by Hu, Jianming, Luo, Qingxi, Tang, Jingwei, Heng, Jiani, Deng, Yuwen

    Published in Energy (Oxford) (01-06-2022)
    “…Wind power interval prediction is an effective technique for quantifying forecasting uncertainty caused by the intermittent and fluctuant characteristics of…”
    Get full text
    Journal Article
  16. 16

    Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network by Tang, Jingwei, Liu, Zhi, Hu, Jianming

    Published in IEEE transactions on sustainable energy (01-07-2024)
    “…Spatial-temporal wind power prediction is of enormous importance to the grid-connected operation of multiple wind farms in the wind power system. However, most…”
    Get full text
    Journal Article
  17. 17

    A novel transformer ordinal regression network with label diversity for wind power ramp events forecasting by Hu, Jianming, Zhang, Liping, Tang, Jingwei, Liu, Zhi

    Published in Energy (Oxford) (01-10-2023)
    “…Large-scale integration of wind energy and large-amplitude wind power fluctuation in minutes to hours, imposes unprecedented challenges of retaining reliable…”
    Get full text
    Journal Article
  18. 18

    Research and application of a hybrid model based on Meta learning strategy for wind power deterministic and probabilistic forecasting by Hu, Jianming, Heng, Jiani, Tang, Jingwei, Guo, Miaolin

    Published in Energy conversion and management (01-10-2018)
    “…•A hybrid model based on Meta learning strategy is developed for wind power forecasting.•A strategy based on Box-Cox transformation and normalization is…”
    Get full text
    Journal Article
  19. 19

    A new wind power interval prediction approach based on reservoir computing and a quality-driven loss function by Hu, Jianming, Lin, Yingying, Tang, Jingwei, Zhao, Jing

    Published in Applied soft computing (01-07-2020)
    “…Understanding the uncertainty of wind power forecasting is crucial for its practical application. This paper proposes a new forecasting approach to estimate…”
    Get full text
    Journal Article
  20. 20

    Learning-Based Sampling for Natural Image Matting by Tang, Jingwei, Aksoy, Yagiz, Oztireli, Cengiz, Gross, Markus, Aydin, Tunc Ozan

    “…The goal of natural image matting is the estimation of opacities of a user-defined foreground object that is essential in creating realistic composite imagery…”
    Get full text
    Conference Proceeding