Search Results - "Learning algorithms"

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  1. 1

    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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    Journal Article
  2. 2

    Towards User‐Centered Active Learning Algorithms by Bernard, Jürgen, Zeppelzauer, Matthias, Lehmann, Markus, Müller, Martin, Sedlmair, Michael

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.06.2018
    Published in Computer graphics forum (01.06.2018)
    “…The labeling of data sets is a time‐consuming task, which is, however, an important prerequisite for machine learning and visual analytics. Visual‐interactive…”
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  3. 3

    A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation by Han, Dong, Mulyana, Beni, Stankovic, Vladimir, Cheng, Samuel

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 05.04.2023
    Published in Sensors (Basel, Switzerland) (05.04.2023)
    “… We give an overview of the recent advances in deep reinforcement learning algorithms for robotic manipulation tasks in this review…”
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  4. 4

    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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  5. 5

    Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data by Gianfrancesco, Milena A, Tamang, Suzanne, Yazdany, Jinoos, Schmajuk, Gabriela

    ISSN: 2168-6114, 2168-6114
    Published: United States 01.11.2018
    Published in JAMA internal medicine (01.11.2018)
    “… information that can improve clinical decisions. Machine learning algorithms, however, may also be subject to biases…”
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  6. 6

    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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  7. 7

    Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area by Mohajane, Meriame, Costache, Romulus, Karimi, Firoozeh, Bao Pham, Quoc, Essahlaoui, Ali, Nguyen, Hoang, Laneve, Giovanni, Oudija, Fatiha

    ISSN: 1470-160X, 1872-7034
    Published: Elsevier Ltd 01.10.2021
    Published in Ecological indicators (01.10.2021)
    “… In this study, we developed five new hybrid machine learning algorithms namely, Frequency Ratio-Multilayer Perceptron (FR-MLP…”
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  8. 8

    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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  9. 9

    Design of subject independent 3D VAD emotion detection system using EEG signals and machine learning algorithms by Nandini, Durgesh, Yadav, Jyoti, Rani, Asha, Singh, Vijander

    ISSN: 1746-8094
    Published: Elsevier Ltd 01.08.2023
    Published in Biomedical signal processing and control (01.08.2023)
    “…•Three subject-independent emotion detection systems: EDS1, EDS2, and EDS3, are designed…”
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  10. 10

    Subject-independent hand gesture recognition using normalization and machine learning algorithms by Wahid, Md Ferdous, Tafreshi, Reza, Al-Sowaidi, Mubarak, Langari, Reza

    ISSN: 1877-7503, 1877-7511
    Published: Elsevier B.V 01.07.2018
    Published in Journal of computational science (01.07.2018)
    “… To improve the gesture recognition accuracy without training the machine learning algorithm subject specifically, the time-domain EMG features are normalized to the area under the averaged…”
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  11. 11

    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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  12. 12

    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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  13. 13

    Experimental Investigation of Body-Centric Indoor Localization Using Compact Wearable Antennas and Machine Learning Algorithms by Bharadwaj, Richa, Alomainy, Akram, Koul, Shiban K.

    ISSN: 0018-926X, 1558-2221
    Published: New York IEEE 01.02.2022
    “…) wearable technology. The algorithm has been validated through measurement campaigns with a human subject volunteer in an indoor environment…”
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  14. 14

    Facial geometric feature extraction based emotional expression classification using machine learning algorithms by M, Murugappan, A, Mutawa

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 18.02.2021
    Published in PloS one (18.02.2021)
    “… The subject’s face is recognized by using Haar-like features. A mathematical model has been applied to positions of eight virtual markers in a defined location…”
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  15. 15

    Prediction of brain maturity in infants using machine-learning algorithms by Smyser, Christopher D., Dosenbach, Nico U.F., Smyser, Tara A., Snyder, Abraham Z., Rogers, Cynthia E., Inder, Terrie E., Schlaggar, Bradley L., Neil, Jeffrey J.

    ISSN: 1053-8119, 1095-9572
    Published: United States Elsevier Inc 01.08.2016
    Published in NeuroImage (Orlando, Fla.) (01.08.2016)
    “…Recent resting-state functional MRI investigations have demonstrated that much of the large-scale functional network architecture supporting motor, sensory and…”
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  16. 16

    Performance analysis of machine learning algorithms and screening formulae for β–thalassemia trait screening of Indian antenatal women by Das, Reena, Saleh, Sarkaft, Nielsen, Izabela, Kaviraj, Anilava, Sharma, Prashant, Dey, Kartick, Saha, Subrata

    ISSN: 1386-5056, 1872-8243, 1872-8243
    Published: Elsevier B.V 01.11.2022
    “…•27 discrimination formulae and 13 machine learning algorithms were evaluated.•SCSBTT and Shine & Lal formulae and ELM and GBC algorithms were found suitable…”
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  17. 17

    Estimating pulse wave velocity from the radial pressure wave using machine learning algorithms by Jin, Weiwei, Chowienczyk, Philip, Alastruey, Jordi

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 28.06.2021
    Published in PloS one (28.06.2021)
    “… The study populations were the Twins UK cohort containing 3,082 subjects aged from 18 to 110 years, and a database containing 4,374 virtual subjects aged from 25 to 75 years…”
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  18. 18

    Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition by Stallkamp, J., Schlipsing, M., Salmen, J., Igel, C.

    ISSN: 0893-6080, 1879-2782, 1879-2782
    Published: United States Elsevier Ltd 01.08.2012
    Published in Neural networks (01.08.2012)
    “… Both image processing and machine learning algorithms are continuously refined to improve on this task…”
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  19. 19

    Student Performance Prediction Model based on Supervised Machine Learning Algorithms by Salah Hashim, Ali, Akeel Awadh, Wid, Khalaf Hamoud, Alaa

    ISSN: 1757-8981, 1757-899X
    Published: Bristol IOP Publishing 01.11.2020
    “…) are the main essential factors that can represent the training dataset for supervised machine learning algorithms…”
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  20. 20

    Hspb1 and Lgals3 in spinal neurons are closely associated with autophagy following excitotoxicity based on machine learning algorithms by Yan, Lei, Li, Zihao, Li, Chuanbo, Chen, Jingyu, Zhou, Xun, Cui, Jiaming, Liu, Peng, Shen, Chong, Chen, Chu, Hong, Hongxiang, Xu, Guanhua, Cui, Zhiming

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 10.05.2024
    Published in PloS one (10.05.2024)
    “… Subsequently, we performed transcriptome sequencing. Leveraging machine learning algorithms, including weighted correlation network analysis (WGCNA…”
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