Showing 81 - 100 results of 3,823 for search '"Deep Learning"', query time: 0.10s Refine Results
  1. 81

    Multimedia Data Processing Technology and Application Based on Deep Learning by Guo Li, Wei Liu

    Published 2023-01-01
    “…With deep learning being widely used in various research fields, it is introduced into the research and analysis of multimedia data processing technology and application. …”
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  4. 84

    Application of Additive Manufacturing and Deep Learning in Exercise State Discrimination by Zhilong Zhao, Jiaxi Yang, Jiahao Liu, Shijie Soong, Yiming Wang, Juan Zhang

    Published 2025-01-01
    “…To address these challenges, this paper introduces 3D printing and deep learning to design a smart wearable sensing device to detect different states of sports fatigue. …”
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  5. 85

    An Intelligent Deep Learning Model for CO2 Adsorption Prediction by Hanan Ahmed Hosni Mahmoud, Nada Ali Hakami, Alaaeldin M. Hafez

    Published 2022-01-01
    “…In this paper, we propose a supervised deep learning neural network (D-CNN) approach to predict CO2 adsorption form the textural and compositional features of biomass porous carbon waste and adsorption features. …”
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  11. 91

    Ensemble Deep Learning Technique for Detecting MRI Brain Tumor by Rasool Fakhir Jader, Shahab Wahhab Kareem, Hoshang Qasim Awla

    Published 2024-01-01
    “…In the specifics, our models outperformed every other published modern ensemble model in the official deep learning challenge without any postprocessing. The ensemble model achieved an accuracy of 99.16%, a sensitivity of 98.47%, a specificity of 98.57%, a precision of 98.74%, a recall of 98.49%, and an F1-score of 98.18%. …”
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  12. 92

    Deep learning driven silicon wafer defect segmentation and classification by Rohan Ingle, Aniket K. Shahade, Mayur Gaikwad, Shruti Patil

    Published 2025-06-01
    Subjects: “…Wafer Defect Segmentation and classification using Deep Learning…”
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  13. 93
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    Uncertainty-aware deep learning in healthcare: A scoping review. by Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

    Published 2022-01-01
    “…Mistrust is a major barrier to implementing deep learning in healthcare settings. Entrustment could be earned by conveying model certainty, or the probability that a given model output is accurate, but the use of uncertainty estimation for deep learning entrustment is largely unexplored, and there is no consensus regarding optimal methods for quantifying uncertainty. …”
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  15. 95

    Performance Prediction for Higher Education Students Using Deep Learning by Shuping Li, Taotang Liu

    Published 2021-01-01
    “…Predicting students’ performance is very important in matters related to higher education as well as with regard to deep learning and its relationship to educational data. …”
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  16. 96
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    Advancements of Deep Learning Model-Based Rehabilitation Training System by Xu Chiyu

    Published 2025-01-01
    “…Traditional therapies for rehabilitation training in modern society are difficult to track patients dynamically, so this paper introduces a rehabilitation training evaluation system under deep learning modeling to help assess the effectiveness of rehabilitation training. …”
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    Article
  18. 98

    Recent advances in deep learning and language models for studying the microbiome by Binghao Yan, Yunbi Nam, Lingyao Li, Rebecca A. Deek, Hongzhe Li, Siyuan Ma

    Published 2025-01-01
    “…Recent advancements in deep learning, particularly large language models (LLMs), made a significant impact on how researchers study microbiome and metagenomics data. …”
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  19. 99

    An Experiment on the Use of Genetic Algorithms for Topology Selection in Deep Learning by Fernando Mattioli, Daniel Caetano, Alexandre Cardoso, Eduardo Naves, Edgard Lamounier

    Published 2019-01-01
    “…The choice of a good topology for a deep neural network is a complex task, essential for any deep learning project. This task normally demands knowledge from previous experience, as the higher amount of required computational resources makes trial and error approaches prohibitive. …”
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  20. 100

    An Improved Image Processing Based on Deep Learning Backpropagation Technique by Yang Gao, Yue Tian

    Published 2022-01-01
    “…Variables of randomness are used as features for the deep learning system, with feedback during iteration. …”
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    Article