Search Results - "Deep Learning Algorithms"

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  1. 1

    Deep learning algorithms for automated detection of Crohn’s disease ulcers by video capsule endoscopy by Klang, Eyal, Barash, Yiftach, Margalit, Reuma Yehuda, Soffer, Shelly, Shimon, Orit, Albshesh, Ahmad, Ben-Horin, Shomron, Amitai, Marianne Michal, Eliakim, Rami, Kopylov, Uri

    ISSN: 0016-5107, 1097-6779, 1097-6779
    Published: United States Elsevier Inc 01.03.2020
    Published in Gastrointestinal endoscopy (01.03.2020)
    “…The aim of our study was to develop and evaluate a deep learning algorithm for the automated detection of small-bowel ulcers in Crohn’s disease (CD…”
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    Journal Article
  2. 2

    Application of deep learning algorithms in geotechnical engineering: a short critical review by Zhang, Wengang, Li, Hongrui, Li, Yongqin, Liu, Hanlong, Chen, Yumin, Ding, Xuanming

    ISSN: 0269-2821, 1573-7462
    Published: Dordrecht Springer Netherlands 01.12.2021
    Published in The Artificial intelligence review (01.12.2021)
    “…With the advent of big data era, deep learning (DL) has become an essential research subject in the field of artificial intelligence (AI…”
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  3. 3

    Fault detection diagnostic for HVAC systems via deep learning algorithms by Taheri, Saman, Ahmadi, Amirhossein, Mohammadi-Ivatloo, Behnam, Asadi, Somayeh

    ISSN: 0378-7788, 1872-6178
    Published: Lausanne Elsevier B.V 01.11.2021
    Published in Energy and buildings (01.11.2021)
    “…Because of high detection accuracy, deep learning algorithms have recently become the focus of increased attention for fault detection diagnostic (FDD…”
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  4. 4

    A short-term building cooling load prediction method using deep learning algorithms by Fan, Cheng, Xiao, Fu, Zhao, Yang

    ISSN: 0306-2619, 1872-9118
    Published: Elsevier Ltd 01.06.2017
    Published in Applied energy (01.06.2017)
    “… Conventional methods, which heavily rely on physical principles, have limited power in practice as their performance is subject to many physical assumptions…”
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  5. 5

    Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces by Kim, Taemin, Shin, Yejee, Kang, Kyowon, Kim, Kiho, Kim, Gwanho, Byeon, Yunsu, Kim, Hwayeon, Gao, Yuyan, Lee, Jeong Ryong, Son, Geonhui, Kim, Taeseong, Jun, Yohan, Kim, Jihyun, Lee, Jinyoung, Um, Seyun, Kwon, Yoohwan, Son, Byung Gwan, Cho, Myeongki, Sang, Mingyu, Shin, Jongwoon, Kim, Kyubeen, Suh, Jungmin, Choi, Heekyeong, Hong, Seokjun, Cheng, Huanyu, Kang, Hong-Goo, Hwang, Dosik, Yu, Ki Jun

    ISSN: 2041-1723, 2041-1723
    Published: London Nature Publishing Group UK 03.10.2022
    Published in Nature communications (03.10.2022)
    “… Hence, here, we present a novel SSI by utilizing crystalline-silicon-based strain sensors combined with a 3D convolutional deep learning algorithm…”
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  6. 6

    Make deep learning algorithms in computational pathology more reproducible and reusable by Wagner, Sophia J., Matek, Christian, Shetab Boushehri, Sayedali, Boxberg, Melanie, Lamm, Lorenz, Sadafi, Ario, Waibel, Dominik J. E., Marr, Carsten, Peng, Tingying

    ISSN: 1078-8956, 1546-170X, 1546-170X
    Published: New York Nature Publishing Group US 01.09.2022
    Published in Nature medicine (01.09.2022)
    “…Greater emphasis on reproducibility and reusability will advance computational pathology quickly and sustainably, ultimately optimizing clinical workflows and…”
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  7. 7

    Deep learning algorithms for detecting freezing of gait in Parkinson’s disease: A cross-dataset study by Sigcha, Luis, Borzì, Luigi, Olmo, Gabriella

    ISSN: 0957-4174, 1873-6793
    Published: Elsevier Ltd 01.12.2024
    Published in Expert systems with applications (01.12.2024)
    “…’ quality of life and increases the risk of falls and related injuries. This study aims to evaluate the generalization capability of deep learning algorithms in freezing of gait detection…”
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  8. 8

    Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005–2018 by Qu, Zihan, Wang, Yashan, Guo, Dingjie, He, Guangliang, Sui, Chuanying, Duan, Yuqing, Zhang, Xin, Lan, Linwei, Meng, Hengyu, Wang, Yajing, Liu, Xin

    ISSN: 1471-244X, 1471-244X
    Published: London BioMed Central 23.08.2023
    Published in BMC psychiatry (23.08.2023)
    “… This study used a deep learning algorithm to identify depression in veterans and its factors associated with clinical manifestations…”
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  9. 9

    Investigation of Unsafe Construction Site Conditions Using Deep Learning Algorithms Using Unmanned Aerial Vehicles by Kumar, Sourav, Poyyamozhi, Mukilan, Murugesan, Balasubramanian, Rajamanickam, Narayanamoorthi, Alroobaea, Roobaea, Nureldeen, Waleed

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 01.10.2024
    Published in Sensors (Basel, Switzerland) (01.10.2024)
    “…The rapid adoption of Unmanned Aerial Vehicles (UAVs) in the construction industry has revolutionized safety, surveying, quality monitoring, and maintenance…”
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  10. 10

    Deep Learning Algorithms for Human Activity Recognition in Manual Material Handling Tasks by Bassani, Giulia, Avizzano, Carlo Alberto, Filippeschi, Alessandro

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 02.11.2025
    Published in Sensors (Basel, Switzerland) (02.11.2025)
    “…) activities, despite their diffusion and impact on the workers’ health. We propose four Deep Learning algorithms for HAR in MMH…”
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  11. 11

    A database of dentition images of Indian breed cattle and estimation of cattle’s age using deep learning algorithms by Patil, Chinmay Vijay, Bhurane, Ankit Ashokrao, Ghasad, Preeti, Kamble, Vipin, Sharma, Manish, Singh, Anand, Nandeshwar, Nareshkumar, Tan, Ru-San, Acharya, Rajendra

    ISSN: 0952-1976
    Published: Elsevier Ltd 24.12.2025
    “… Therefore, we created a database of dentition images for Indian livestock, covering an age range of 1 to 15 years, using 2,883 subjects…”
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  12. 12

    Surface Defects Detection of Cylindrical High-Precision Industrial Parts Based on Deep Learning Algorithms: A Review by Wei, Li, Solihin, Mahmud Iwan, Saruchi, Sarah ‘Atifah, Astuti, Winda, Hong, Lim Wei, Kit, Ang Chun

    ISSN: 2662-2556, 2662-2556
    Published: Cham Springer International Publishing 01.09.2024
    Published in Operations Research Forum (01.09.2024)
    “… Since these parts play a pivotal role in the performance and safety of the systems they are integrated into, they are often subject to stringent quality control measures…”
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    Development of a Smart Chair Sensors System and Classification of Sitting Postures with Deep Learning Algorithms by Aminosharieh Najafi, Taraneh, Abramo, Antonio, Kyamakya, Kyandoghere, Affanni, Antonio

    ISSN: 1424-8220, 1424-8220
    Published: Basel MDPI AG 26.07.2022
    Published in Sensors (Basel, Switzerland) (26.07.2022)
    “…Nowadays in modern societies, a sedentary lifestyle is almost inevitable for a majority of the population. Long hours of sitting, especially in wrong postures,…”
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  15. 15

    A Multi-Working States Sensor Anomaly Detection Method Using Deep Learning Algorithms by Wu, Di, Koskinen, Kari, Coatanea, Eric

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 12.09.2025
    Published in Sensors (Basel, Switzerland) (12.09.2025)
    “…The data collected from sensors are subject to the presence of anomaly data. These anomalies may stem from sensor malfunctions or poor communication…”
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  16. 16

    Optimizing Personalized Recommender Systems for Teachers' Digital Learning Models Using Deep Learning Algorithms by Zhong, Jun, Zhang, Wenjuan

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2025
    Published in IEEE access (2025)
    “…Digital Learning Models for Teachers represent a significant advancement in the education sector, leveraging digital technology to enhance teaching…”
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  17. 17

    Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms by Guo, Xiang, Wang, Jiehuan, Wang, Xiaoqiang, Liu, Wenjing, Yu, Hao, Xu, Li, Li, Hengyan, Wu, Jiangfen, Dong, Mengxing, Tan, Weixiong, Chen, Weijian, Yang, Yunjun, Chen, Yueqin

    ISSN: 0938-7994, 1432-1084, 1432-1084
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2022
    Published in European radiology (01.02.2022)
    “…) controls were included in this study. The data from these subjects were assigned to training and validation datasets…”
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  18. 18

    Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteers by Ravan, Maryam, Noroozi, Amin, Sanchez, Mary Margarette, Borden, Lee, Alam, Nafia, Flor-Henry, Pierre, Colic, Sinisa, Khodayari-Rostamabad, Ahmad, Minuzzi, Luciano, Hasey, Gary

    ISSN: 0165-0327, 1573-2517, 1573-2517
    Published: Netherlands Elsevier B.V 01.02.2024
    Published in Journal of affective disorders (01.02.2024)
    “… We used deep learning analysis (DLA) of resting electroencephalograph (EEG) to differentiate healthy control (HC) subjects (N = 239…”
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  19. 19

    Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms by Son, Jaemin, Shin, Joo Young, Chun, Eun Ju, Jung, Kyu-Hwan, Park, Kyu Hyung, Park, Sang Jun

    ISSN: 2164-2591, 2164-2591
    Published: United States 01.11.2020
    Published in Translational vision science & technology (01.11.2020)
    “… With this database, performances of deep learning algorithms (inception-v3) to distinguish high CACS from CACS of 0 were evaluated at various thresholds for high CACS…”
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  20. 20

    Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease by Prince, John, Maidens, John, Kieu, Spencer, Currie, Caroline, Barbosa, Daniel, Hitchcock, Cody, Saltman, Adam, Norozi, Kambiz, Wiesner, Philipp, Slamon, Nicholas, Del Grippo, Erica, Padmanabhan, Deepak, Subramanian, Anand, Manjunath, Cholenahalli, Chorba, John, Venkatraman, Subramaniam

    ISSN: 2047-9980, 2047-9980
    Published: England John Wiley and Sons Inc 17.10.2023
    Published in Journal of the American Heart Association (17.10.2023)
    “… 000 heart sound recordings. Methods and Results We validated the algorithms on a data set of 2375 recordings from 615 unique subjects…”
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