Showing 181 - 200 results of 3,053 for search 'deep (convolution OR convolutional) neural network', query time: 0.19s Refine Results
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    Classification of Arabic Alphabets Using a Combination of a Convolutional Neural Network and the Morphological Gradient Method by Mouhssine EL ATILLAH, Khalid EL FAZAZY, Jamal Riffi

    Published 2024-01-01
    Subjects: “…Handwritten Arabic characters, Deep learning, Morphological gradient, Convolutional neural network, Optical character recognition…”
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    Enhancing Real-Time Emotion Recognition in Classroom Environments Using Convolutional Neural Networks: A Step Towards Optical Neural Networks for Advanced Data Processing by Nuphar Avital, Idan Egel, Ido Weinstock, Dror Malka

    Published 2024-11-01
    “…The purpose of this work is to identify emotions based on facial expressions using a deep learning model based on a convolutional neural network (CNN), where facial recognition is performed using the Viola–Jones algorithm on a group of students in a learning environment. …”
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    Retrieving Encrypted Images Using Convolution Neural Network and Fully Homomorphic Encryption by Emad M. Alsaedi, Alaa kadhim Farhan

    Published 2023-02-01
    “…The first part (offline processing) extracts automated high-level features based on a flatting layer in a convolutional neural network (CNN) and then stores these features in a new dataset. …”
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  18. 198

    Through-Wall Radar Classification of Human Posture Using Convolutional Neural Networks by Alper Kılıç, İsmail Babaoğlu, Ahmet Babalık, Ahmet Arslan

    Published 2019-01-01
    “…This paper focuses on the classification of the human posture behind the wall using through-wall radar signals and a convolutional neural network (CNN). The SFCW radar is used to collect radar signals reflected from the human target behind the wall. …”
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    Reconstruction of reservoir rock using attention-based convolutional recurrent neural network by Indrajeet Kumar, Anugrah Singh

    Published 2024-12-01
    “…We propose a novel algorithm consisting of the convolutional neural network, an attention mechanism, and a recurrent neural network for the reconstruction of reservoir rock or porous media images. …”
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    Convolutional Neural Network and Channel Attention Mechanism for Multiclass Brain Tumor Classification by Ali Naderi, Akbar Asgharzadeh-Bonab, Farid Ahmadi, Hashem Kalbkhani

    Published 2025-01-01
    “…The proposed model comprises three key components: (1) a fine-tuned EfficientNetB7 convolutional neural network (CNN), adapted through transfer learning by freezing the initial layers and retraining subsequent layers to optimize feature extraction from MR images; (2) a channel attention module that refines extracted feature maps, emphasizing essential features for accurate tumor detection; and (3) a fully connected classifier, optimized through grid search, to achieve precise multiclass tumor classification. …”
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