Showing 101 - 120 results of 332 for search '"deep learning"', query time: 0.08s Refine Results
  1. 101

    Enhancing Arabic text-to-speech synthesis for emotional expression in visually impaired individuals using the artificial hummingbird and hybrid deep learning model by Mahmoud M. Selim, Mohammed S. Assiri

    Published 2025-04-01
    “…This study designs an Arabic Mood Changing and Depression Detection using the Artificial Hummingbird Optimization Algorithm with Deep Learning (AMCDD-AHODL) technique for visually impaired individuals. …”
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    TRANSFER LEARNING BASED OFFLINE YORÙBÁ HANDWRITTEN CHARACTER RECOGNITION SYSTEM by OLUWASHINA OYENIRAN, EBENEZER OYEBODE

    Published 2021-10-01
    Subjects: “…deep learning, Yorùbá, handwritten, character, recognition…”
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    Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

    Published 2024-03-01
    “…Introduction: Deep learning models can assess the quality of images and discriminate among abnormalities in small bowel capsule endoscopy (CE), reducing fatigue and the time needed for diagnosis. …”
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  10. 110

    Optimization of Sample Size, Data Points, and Data Augmentation Stride in Vibration Signal Analysis for Deep Learning-Based Fault Diagnosis of Rotating Machines by Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen

    Published 2025-01-01
    “…In recent years, deep learning models have increasingly been employed for fault diagnosis in rotating machines, with remarkable results. …”
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    Single-shot super-resolved fringe projection profilometry (SSSR-FPP): 100,000 frames-per-second 3D imaging with deep learning by Bowen Wang, Wenwu Chen, Jiaming Qian, Shijie Feng, Qian Chen, Chao Zuo

    Published 2025-02-01
    “…Our approach exploits the significant speed gain achieved by reducing the imaging window of conventional high-speed cameras, while “regenerating” the lost spatial resolution through deep learning. To demonstrate the high spatio-temporal resolution of SSSR-FPP, we present 3D videography of several transient scenes, including rotating turbofan blades, exploding building blocks, and the reciprocating motion of a steam engine, etc., which were previously challenging or even impossible to capture with conventional methods. …”
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  17. 117

    Corrections to “Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management in Intelligent Transportation Systems” by Abdulrahman Alruban, Hanan Abdullah Mengash, Majdy M. Eltahir, Nabil Sharaf Almalki, Ahmed Mahmud, Mohammed Assiri

    Published 2025-01-01
    “…Presents corrections to the paper, Corrections to “Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management in Intelligent Transportation Systems”.…”
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    Penerapan Algoritma Deep Learning Convolutional Neural Network Dalam Menentukan Kematangan Buah Jeruk Manis Berdasarkan Citra Red Green Blue (RGB) by Budi Yanto, Erni Rouza, Luth Fimawahib, B.Herawan Hayadi, Rinanda Rizki Pratama

    Published 2023-02-01
    “…For this reason, an algorithm is needed to determine sweet oranges with a computerized system created using the Convolutional Neural Network (CNN) algorithm, which is one of the deep learning algorithms, which is the development of Multilayer Perceptron (MLP), which is able to process data in two-dimensional form, for example. …”
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