Search Results - "Dong, XiaoGang"

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  1. 1

    Dynamic Variability in Daily Temperature Extremes and Their Relationships with Large-scale Atmospheric Circulation During 1960–2015 in Xinjiang, China by Zhang, Kexin, Dai, Shengpei, Dong, Xiaogang

    Published in Chinese geographical science (01-04-2020)
    “…Climate changes are likely to increase the risk of numerous extreme weather events throughout the world. The objectives of this study were to investigate and…”
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  2. 2

    A hybrid ensemble forecasting model of passenger flow based on improved variational mode decomposition and boosting by Qin, Xiwen, Leng, Chunxiao, Dong, Xiaogang

    “…An accurate passenger flow forecast can provide key information for intelligent transportation and smart cities, and help promote the development of smart…”
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  3. 3

    Automotive adhesive defect detection based on improved YOLOv8 by Wang, Chunjie, Sun, Qibo, Dong, Xiaogang, Chen, Jia

    Published in Signal, image and video processing (01-04-2024)
    “…In automotive adhesive defect detection, manual inspection suffers from low efficiency and blind spots in human vision, which affects the performance of parts…”
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  4. 4

    Emotion recognition of EEG signals based on variational mode decomposition and weighted cascade forest by Xu, Dingxin, Qin, Xiwen, Dong, Xiaogang, Cui, Xueteng

    “…Emotion recognition is of a great significance in intelligent medical treatment and intelligent transportation. With the development of human-computer…”
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  5. 5

    The Fault Diagnosis of Rolling Bearing Based on Ensemble Empirical Mode Decomposition and Random Forest by Lv, Siqi, Dong, Xiaogang, Li, Qiaoling, Qin, Xiwen

    Published in Shock and vibration (01-01-2017)
    “…Accurate diagnosis of rolling bearing fault on the normal operation of machinery and equipment has a very important significance. A method combining Ensemble…”
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  6. 6

    Interval Wind-Speed Forecasting Model Based on Quantile Regression Bidirectional Minimal Gated Memory Network and Kernel Density Estimation by Qin, Xiwen, Sheng, Han, Dong, Xiaogang

    “…To deal with the randomness, intermittence and fluctuation of wind speed, reasonable dispatch and economic prediction model are necessary. For this purpose, a…”
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  7. 7

    SAR-to-Optical Image Translation via an Interpretable Network by Zhang, Mingjin, Zhang, Peng, Zhang, Yuhan, Yang, Minghai, Li, Xiaofeng, Dong, Xiaogang, Yang, Luchang

    Published in Remote sensing (Basel, Switzerland) (01-01-2024)
    “…Synthetic aperture radar (SAR) is prevalent in the remote sensing field but is difficult to interpret by human visual perception. Recently, SAR-to-optical…”
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  8. 8

    Which slope aspect and gradient provides the best afforestation-driven soil carbon sequestration on the China's Loess Plateau? by Zhang, Xiaofang, Adamowski, Jan F., Liu, Chunfang, Zhou, Junju, Zhu, Guofeng, Dong, Xiaogang, Cao, Jianjun, Feng, Qi

    Published in Ecological engineering (15-03-2020)
    “…On China's Loess Plateau, where the distribution of soil organic carbon (soil − Corg) is mainly influenced by topography, afforestation is an important…”
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  9. 9

    Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism by Chen, Chen, Chen, Cheng, Ma, Mingrui, Ma, Xiaojian, Lv, Xiaoyi, Dong, Xiaogang, Yan, Ziwei, Zhu, Min, Chen, Jiajia

    “…Abstract Purpose Liver cancer is one of the most common malignant tumors in the world, ranking fifth in malignant tumors. The degree of differentiation can…”
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  10. 10

    NVS-ZP7-4 inhibits hepatocellular carcinoma tumorigenesis and promotes apoptosis via PI3K/AKT signaling by Tong, Qing, Yan, Dong, Cao, Yan, Dong, Xiaogang, Abula, Yimamumaimaitijiang, Yang, Huan, Kong, Panpan, Yi, Mingyu

    Published in Scientific reports (21-07-2023)
    “…NVS-ZP7-4 was identified as a novel chemical reagent targeting the zinc input protein ZIP7, which accounts for the zinc surge from the apparatus to the…”
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  11. 11

    DGQR estimation for interval censored quantile regression with varying-coefficient models by Li, ChunJing, Li, Yun, Ding, Xue, Dong, XiaoGang

    Published in PloS one (10-11-2020)
    “…This paper propose a direct generalization quantile regression estimation method (DGQR estimation) for quantile regression with varying-coefficient models with…”
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  12. 12

    Quantifying changes in soil organic carbon density from 1982 to 2020 in Chinese grasslands using a random forest model by Chen, Jie, Biswas, Asim, Su, Haohai, Cao, Jianjun, Hong, Shuyan, Wang, Hairu, Dong, Xiaogang

    Published in Frontiers in plant science (08-05-2023)
    “…China has the second-largest grassland area in the world. Soil organic carbon storage (SOCS) in grasslands plays a critical role in maintaining carbon balance…”
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  13. 13

    Two-stage feature selection for classification of gene expression data based on an improved Salp Swarm Algorithm by Qin, Xiwen, Zhang, Shuang, Yin, Dongmei, Chen, Dongxue, Dong, Xiaogang

    “…Microarray technology has developed rapidly in recent years, producing a large number of ultra-high dimensional gene expression data. However, due to the huge…”
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  14. 14

    Deep learning with multilayer perceptron for optimizing the heat transfer of mixed convection equipped with MWCNT-water nanofluid by Dong, Xiaogang, Knani, Salah, Ayed, Hamdi, Mouldi, Abir, Mahariq, Ibrahim, Alhoee, Javid

    Published in Case studies in thermal engineering (01-05-2024)
    “…In the modern era, Artificial Intelligence (AI) has emerged as a powerful tool that can rapidly generate highly accurate data, offering tremendous potential…”
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  15. 15

    Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China by Cao, Jianjun, Gong, Yifan, Adamowski, Jan F., Deo, Ravinesh C., Zhu, Guofeng, Dong, Xiaogang, Zhang, Xiaofang, Liu, Haibo, Xin, Cunlin

    Published in Scientific reports (28-02-2019)
    “…At an ecosystem level, stand age has a significant influence on carbon storage (CS). Dragon spruce ( Picea asperata Mast.) situated along the upper reaches of…”
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  16. 16

    The Fault Diagnosis of Rolling Bearing Based on Improved Deep Forest by Qin, Xiwen, Xu, Dingxin, Dong, Xiaogang, Cui, Xueteng, Zhang, Siqi

    Published in Shock and vibration (2021)
    “…Rolling bearing fault diagnosis is a meaningful and challenging task. Most methods first extract statistical features and then carry out fault diagnosis. At…”
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  17. 17

    Self-Triggered Model Predictive Control of AC Microgrids with Physical and Communication State Constraints by Dong, Xiaogang, Gan, Jinqiang, Wu, Hao, Deng, Changchang, Liu, Sisheng, Song, Chaolong

    Published in Energies (Basel) (01-02-2022)
    “…In this paper, we investigate the secondary control problems of AC microgrids with physical states (i.e., voltage, frequency and power, etc.) constrained in…”
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  18. 18

    Inhibitions of epithelial to mesenchymal transition and cancer stem cells-like properties are involved in miR-148a-mediated anti-metastasis of hepatocellular carcinoma by Yan, Han, Dong, Xiaogang, Zhong, Xiaoqin, Ye, Jing, Zhou, Yun, Yang, Xiaojun, Shen, Jian, Zhang, Jianping

    Published in Molecular carcinogenesis (01-12-2014)
    “…The epithelial–mesenchymal transition (EMT) and acquisition of cancer stem cells (CSCs)‐like properties are essential steps in the metastasis and postsurgical…”
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  19. 19

    Survival prediction model for right-censored data based on improved composite quantile regression neural network by Qin, Xiwen, Yin, Dongmei, Dong, Xiaogang, Chen, Dongxue, Zhang, Shuang

    “…With the development of the field of survival analysis, statistical inference of right-censored data is of great importance for the study of medical diagnosis…”
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  20. 20

    Controlled mechanical and swelling properties of poly(vinyl alcohol)/sodium alginate blend hydrogels prepared by freeze-thaw followed by Ca2+ crosslinking by Xie, Liang, Jiang, Man, Dong, Xiaogang, Bai, Xia, Tong, Jin, Zhou, Jiang

    Published in Journal of applied polymer science (05-04-2012)
    “…Poly(vinyl alcohol) (PVA)/sodium alginate (SA) blend hydrogels have immense potential for use as functional biomaterials. Understanding of influences of…”
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