Showing 761 - 780 results of 2,209 for search 'Code training', query time: 0.11s Refine Results
  1. 761
  2. 762

    Fish keypoint detection for offshore aquaculture: a robust deep learning approach with PCA-based shape constraint by Gen Li, Gen Li, Anji Lian, Zidan Yao, Yu Hu, Yu Hu, Guoliang Pang, Guoliang Pang, Taiping Yuan, Taiping Yuan, Zhenhua Li, Xiaohua Huang, Xiaohua Huang, Gang Wang

    Published 2025-07-01
    “…Furthermore, we have comprehensively explored the impact of key hyperparameters on detection performance and robustness to labeling outliers in the training set. The code is available at https://github.com/LMX-BY/fish_landmark_detection_using_PCA_based_fish_shape_model.…”
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  3. 763
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  6. 766

    A Cross-Project Defect Prediction Model Based on Deep Learning With Self-Attention by Wanzhi Wen, Ruinian Zhang, Chuyue Wang, Chenqiang Shen, Meng Yu, Suchuan Zhang, Xinxin Gao

    Published 2022-01-01
    “…However, traditional features lack sufficient semantic information of source code resulting in poor performance of the prediction models. …”
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  7. 767
  8. 768

    Digital Intervention in Children With Developmental Language Disorder: Systematic Review by Zhaowen Zhou, Cheng Deng, Dongling Yin, Qiaoxue Yang, Zhuoming Chen

    Published 2025-05-01
    “…MethodsThe study protocol was registered in the International Prospective Register for Systematic Reviews (PROSPERO) and was ascribed the CRD42023477946 registration code. The initial search was conducted on May 2023 from 4 databases: “PubMed,” “Scopus,” “PsycInfo,” and “IEEE Xplore,” following a method adapted from PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). …”
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  9. 769

    Syn‐Aug: An Effective and General Synchronous Data Augmentation Framework for 3D Object Detection by Huaijin Liu, Jixiang Du, Yong Zhang, Hongbo Zhang, Jiandian Zeng

    Published 2025-06-01
    “…On nuScenes, four different types of baseline models using Syn‐Aug improved mAP by 14.93%, 10.42%, 8.47% and 6.81% respectively. The code is available at https://github.com/liuhuaijjin/Syn‐Aug.…”
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  10. 770

    Flame Evolution Characteristics for Hydrogen/LPG Co-Combustion in a Counter-Burner by Rabeea M. Ghazal, Abdulrazzak Akroot, Hasanain A. Abdul Wahhab

    Published 2025-02-01
    “…In addition, a MATLAB R2023b program code was developed based on flame front image frames to analyze data and measure flame parameters, i.e., laminar burning velocity, flame temperature, and flame front diameter. …”
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  11. 771

    S2NN: Spectra-spiking neural network for energy-efficient wheat protein estimation using hyperspectral imaging by Apurva Sharma, Tarandeep Singh, Neerja Mittal Garg, Quoc Cuong Ngo, Nemuel D Pah, Dinesh Kumar

    Published 2025-12-01
    “…., ANN, CNN, and Transformer) in terms of accuracy, training time, floating-point operations (FLOPs), and energy consumption. …”
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  12. 772

    A hyperspectral unmixing approach for ink mismatch detection in unbalanced clusters by Faryal Aurooj Nasir, Salman Liaquat, Khurram Khurshid, Nor Muzlifah Mahyuddin

    Published 2024-03-01
    “…Randomization techniques and anomaly detection mechanisms are used in our methodology which increases the difficulty for adversaries to predict and manipulate specific aspects of the input data in questioned documents, thereby enhancing the robustness of our method. The code for conducting this research can be accessed at GitHub repository.…”
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  13. 773

    PROJECT METHOD IN STEM EDUCATION USING ARDUINO SOFTWARE AND HARDWARE PLATFORM by Олексій Воронкін, Сергій Лущин

    Published 2023-09-01
    “…One of the promising methods of training in STEM education is the method of projects. …”
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  14. 774

    One to All: Toward a Unified Model for Counting Cereal Crop Heads Based on Few-Shot Learning by Qiang Wang, Xijian Fan, Ziqing Zhuang, Tardi Tjahjadi, Shichao Jin, Honghua Huan, Qiaolin Ye

    Published 2024-01-01
    “…The CHCNet model adopts a 2-stage training procedure. The initial stage focuses on latent feature mining to capture common feature representations of cereal crops. …”
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    Adoption and perception of prescribable digital health applications (DiGA) and the advancing digitalization among German internal medicine physicians: a cross-sectional survey stud... by Lasse Cirkel, Fabian Lechner, Nadine Schlicker, Jan Leipe, Felix Mühlensiepen, Ivica Grgic, Martin C. Hirsch, Sebastian Kuhn, Johannes Knitza

    Published 2024-11-01
    “…Participants could respond by scanning a QR code or directly on a tablet. Results A total of 100 physicians completed the survey, with a mean age of 43.4 years. …”
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  17. 777

    Deep Hashing Based Fusing Index Method for Large-Scale Image Retrieval by Lijuan Duan, Chongyang Zhao, Jun Miao, Yuanhua Qiao, Xing Su

    Published 2017-01-01
    “…In our method, we train two different architecture’s deep hashing subnetworks and fuse the hash codes generated by the two subnetworks together to unify images. …”
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  18. 778

    Robotics in higher education and its impact on digital learning by Patrick Zamora, Alan Lozada, Jorge Buele, Fátima Avilés-Castillo

    Published 2025-06-01
    “…This study was registered in the Open Science Framework under the code: 10.17605/OSF.IO/KHDTU.…”
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  19. 779

    Improved Correlation of Oil Recovery Factor for Water Driven Reservoirs in the Niger Delta by Ayodele Daniel, Faisal Olasubomi Olanipekun, Sunday Oloruntoba Isehunwa

    Published 2025-07-01
    “…This was implemented using Python code developed for this work. The model developed had an excellent performance on the training set as the coefficient was about 0.84. …”
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  20. 780

    DeepDISC-photoz: Deep Learning-Based Photometric Redshift Estimation for Rubin LSST by Grant Merz, Xin Liu, Samuel Schmidt, Alex I. Malz, Tianqing Zhang, Doug Branton, Colin J. Burke, Melissa Delucchi, Yaswant Sai Ejjagiri, Jeremy Kubica, Yichen Liu, Olivia Lynn, Drew Oldag, The LSST Dark Energy Science Collaboration

    Published 2025-04-01
    “…Our code is fully public and integrated in the RAIL photo-z package for ease of use and comparison to other codes at https://github.com/LSSTDESC/rail_deepdisc…”
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