Search Results - "Tang, Jingwei"
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1
Application and Evaluation of Artificial Intelligence Technology in Collegiate Soccer Sports
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…”
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2
Research on Wind Power Short-Term Forecasting Method Based on Temporal Convolutional Neural Network and Variational Modal Decomposition
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…”
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3
Design and Implementation of a Lightweight Deep CNN-Based Plant Biometric Authentication System
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…”
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4
GSH-activable heterotrimeric nano-prodrug for precise synergistic therapy of TNBC
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…”
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5
A novel Bayesian ensembling model for wind power forecasting
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…”
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6
Design of a Bearingless Outer Rotor Induction Motor
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…”
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Cross-sectional survey of gender differences in gross motor skills among preschool children in Jinhua City, China
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…”
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High-quality-draft genome sequence of the heavy metal resistant and exopolysaccharides producing bacterium Mucilaginibacter pedocola TBZ30T
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…”
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9
Frontal-posterior functional imbalance and aberrant function developmental patterns in schizophrenia
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…”
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10
A Physics-Aware Neural Network Approach for Flow Data Reconstruction From Satellite Observations
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…”
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11
Artificial intelligence-based needs analysis for english specific purposes in digital environment
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…”
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A novel wind power probabilistic forecasting approach based on joint quantile regression and multi-objective optimization
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…”
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13
Artificial Intelligence System Detection in English Teaching Based on Heuristic Genetic Algorithm
Published in Computational intelligence and neuroscience (12-08-2022)“…Using the traditional English teaching mode is difficult to help correct students, and it is difficult to achieve human-computer interaction in oral English…”
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14
A novel time series probabilistic prediction approach based on the monotone quantile regression neural network
Published in Information sciences (01-01-2024)Get full text
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15
Conformalized temporal convolutional quantile regression networks for wind power interval forecasting
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…”
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16
Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network
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…”
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A novel transformer ordinal regression network with label diversity for wind power ramp events forecasting
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…”
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Research and application of a hybrid model based on Meta learning strategy for wind power deterministic and probabilistic forecasting
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…”
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A new wind power interval prediction approach based on reservoir computing and a quality-driven loss function
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…”
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20
Learning-Based Sampling for Natural Image Matting
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2019)“…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…”
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