Search Results - "Ye, Jiaxing"

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  1. 1

    Computerized Ultrasonic Imaging Inspection: From Shallow to Deep Learning by Ye, Jiaxing, Ito, Shunya, Toyama, Nobuyuki

    Published in Sensors (Basel, Switzerland) (07-11-2018)
    “…For many decades, ultrasonic imaging inspection has been adopted as a principal method to detect multiple defects, e.g., void and corrosion. However, the data…”
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    Journal Article
  2. 2

    Drone-based displacement measurement of infrastructures utilizing phase information by Ri, Shien, Ye, Jiaxing, Toyama, Nobuyuki, Ogura, Norihiko

    Published in Nature communications (09-01-2024)
    “…Drone-based inspections provide an efficient and flexible approach to assessing aging infrastructures while prioritizing safety. Here, we present a pioneering…”
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    Journal Article
  3. 3

    Benchmarking Deep Learning Models for Automatic Ultrasonic Imaging Inspection by Ye, Jiaxing, Toyama, Nobuyuki

    Published in IEEE access (01-01-2021)
    “…The success of deep neural networks in carrying out a wide variety of cognitive tasks also raised expectations regarding the advent of AI for the ultrasonic…”
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    Journal Article
  4. 4

    CTG-Net: Cross-task guided network for breast ultrasound diagnosis by Yang, Kaiwen, Suzuki, Aiga, Ye, Jiaxing, Nosato, Hirokazu, Izumori, Ayumi, Sakanashi, Hidenori

    Published in PloS one (11-08-2022)
    “…Deep learning techniques have achieved remarkable success in lesion segmentation and classification between benign and malignant tumors in breast ultrasound…”
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    Journal Article
  5. 5

    Computerized Hammer Sounding Interpretation for Concrete Assessment with Online Machine Learning by Ye, Jiaxing, Kobayashi, Takumi, Iwata, Masaya, Tsuda, Hiroshi, Murakawa, Masahiro

    Published in Sensors (Basel, Switzerland) (09-03-2018)
    “…Developing efficient Artificial Intelligence (AI)-enabled systems to substitute the human role in non-destructive testing is an emerging topic of considerable…”
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    Journal Article
  6. 6

    Non-Contact Ultrasonic Inspection of Impact Damage in Composite Laminates by Visualization of Lamb wave Propagation by Toyama, Nobuyuki, Ye, Jiaxing, Kokuyama, Wataru, Yashiro, Shigeki

    Published in Applied sciences (01-01-2019)
    “…This study demonstrates a rapid non-contact ultrasonic inspection technique by visualization of Lamb wave propagation for detecting impact damage in carbon…”
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    Journal Article
  7. 7

    An Efficient In-Situ Debris Flow Monitoring System over a Wireless Accelerometer Network by Ye, Jiaxing, Kurashima, Yuichi, Kobayashi, Takeshi, Tsuda, Hiroshi, Takahara, Teruyoshi, Sakurai, Wataru

    Published in Remote sensing (Basel, Switzerland) (01-07-2019)
    “…Debris flow disasters pose a serious threat to public safety in many areas all over the world, and it may cause severe consequences, including losses,…”
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    Journal Article
  8. 8

    In Situ LID and Regeneration of PERC Solar Cells from Different Positions of a B-Doped Cz-Si Ingot by Yuan, Shuai, Ding, Siqi, Ai, Bin, Chen, Daming, Jin, Jingsheng, Ye, Jiaxing, Qiu, Depeng, Sun, Xiaopu, Liang, Xueqin

    Published in International journal of photoenergy (04-01-2022)
    “…In order to investigate the light-induced-degradation (LID) and regeneration of industrial PERC solar cells made from different positions of silicon wafers in…”
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    Journal Article
  9. 9

    Acoustic Scene Classification Using Efficient Summary Statistics and Multiple Spectro-Temporal Descriptor Fusion by Ye, Jiaxing, Kobayashi, Takumi, Toyama, Nobuyuki, Tsuda, Hiroshi, Murakawa, Masahiro

    Published in Applied sciences (01-08-2018)
    “…This paper presents a novel approach for acoustic scene classification based on efficient acoustic feature extraction using spectro-temporal descriptors…”
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    Journal Article
  10. 10

    Study on the Electrical Injection Regeneration of Industrialized B-Doped Czochralski Silicon PERC Solar Cells by Liang, Runxiong, Qiu, Depeng, Jin, Jingsheng, Ai, Bin, Ye, Jiaxing, Shen, Hui

    “…In this paper, 156 mm×156 mm boron-doped Czochralski silicon (Cz-Si) wafers were fabricated into PERC solar cells by using the industrial standard process;…”
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    Journal Article
  11. 11

    Discriminatively learned filter bank for acoustic features by Kobayashi, Takumi, Jiaxing Ye

    “…Filter banks on a frequency domain are widely applied and studied mainly for MFCC and its variant methods on speech recognition tasks. In recent years, other…”
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    Conference Proceeding Journal Article
  12. 12

    AI-aided Hammering Test System to Automatically Generate Anomaly Maps by Iwata, Masaya, Kasai, Yuji, Ye, Jiaxing, Chang, Ching-Tzun, Okuma, Takashi, Nozoe, Yusuke, Takatsu, Sota, Kubota, Yuichi, Murakawa, Masahiro

    Published in Sensors and materials (01-01-2019)
    “…The purpose of this work is to establish a hammering echo inspection technology capable of detecting damage accurately irrespective of the skill of the…”
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    Journal Article
  13. 13

    Kernel discriminant analysis for environmental sound recognition based on acoustic subspace by Jiaxing Ye, Kobayashi, Takumi, Murakawa, Masahiro, Higuchi, Tetsuya

    “…In this paper, we propose an effective discriminant subspace learning framework to recognize the environmental sounds. Firstly, Gabor transform is adopted to…”
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    Conference Proceeding
  14. 14

    Robust acoustic feature extraction for sound classification based on noise reduction by Jiaxing Ye, Kobayashi, Takumi, Murakawa, Masahiro, Higuchi, Tetsuya

    “…In this paper, we present a novel method for environmental sound classification in non-stationary noise environment. The proposed method mainly consists of…”
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    Conference Proceeding
  15. 15

    Automatic defect detection for ultrasonic wave propagation imaging method using spatio-temporal convolution neural networks by Ye, Jiaxing, Toyama, Nobuyuki

    Published in Structural health monitoring (01-11-2022)
    “…Ultrasonic wave propagation imaging enables the detection of anomalies in various structures; hence, it has been applied as one of the promising techniques for…”
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    Journal Article
  16. 16

    Spatio-temporal Filter Analysis Improves 3D-CNN For Action Classification by Kobayashi, Takumi, Ye, Jiaxing

    “…As 2D-CNNs are growing in image recognition literature, 3D-CNNs are enthusiastically applied to video action recognition. While spatio-temporal (3D)…”
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    Conference Proceeding
  17. 17

    Modified Single-Edge Modulation to Decrease Common-Mode Voltage With Considering Deadtime Effects and Switching Losses for Three-Phase VSIs by Ye, Jiaxing, Wang, Mingyi, Cui, Sihang, Zhang, Chengming, Li, Liyi

    Published in IEEE transactions on power electronics (01-08-2024)
    “…As the switching frequency of power semiconductor devices increases, it is necessary to suppress the common-mode voltage (CMV) generated by the pulsewidth…”
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    Journal Article
  18. 18

    Urban sound event classification based on local and global features aggregation by Ye, Jiaxing, Kobayashi, Takumi, Murakawa, Masahiro

    Published in Applied acoustics (01-02-2017)
    “…The automatic content-based classification of complex and dynamic urban sound is an important aspect of various emerging applications, such as surveillance,…”
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    Journal Article
  19. 19

    Discriminant kernel learning for acoustic scene classification with multiple observations by Jiaxing Ye, Kobayashi, Takumi, Tsuda, Hiroshi, Murakawa, Masahiro

    “…In this paper, we propose a novel kernel learning scheme for acoustic scene classification using multiple short-term observations. The method takes inspiration…”
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    Conference Proceeding
  20. 20

    Self-powered biodegradable and antibacterial MoS2-based triboelectric nanogenerators for the acceleration of wound healing in diabetes by Yu, Hongrui, Kong, Jianglong, Mao, Meiru, Ge, Xiaohan, Sun, Yuting, Liu, Jiawen, Ye, Jiaxing, Wang, Yi

    Published in Nano energy (01-03-2024)
    “…Recently, there has been significant interests in the use of wearable triboelectric nanogenerators (TENGs) to accelerate wound healing. In this study, a…”
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    Journal Article