Showing 2,541 - 2,560 results of 6,418 for search '"architecture"', query time: 0.08s Refine Results
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    Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach by Sara Abbasi, Khosro Rezaee

    Published 2025-01-01
    “…This architecture, adaptable to a convolution bottleneck attention–BiLSTM (CBA‐BiLSTM), classifies signals using data from ankle, leg, and trunk sensors. …”
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    Network Anomaly Detection Using Quantum Neural Networks on Noisy Quantum Computers by Alon Kukliansky, Marko Orescanin, Chad Bollmann, Theodore Huffmire

    Published 2024-01-01
    “…This study culminates in an optimized multilayered QNN architecture for network intrusion detection. A small version of the proposed architecture was implemented on IonQ's Aria-1 quantum computer, achieving a notable 0.86 F1 score using the NF-UNSW-NB15 dataset. …”
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    Dynamic Foraging in Swarm Robotics: A Hybrid Approach with Modular Design and Deep Reinforcement Learning Intelligence by Ali Hammoud, Alaa Iskandar, Béla Kovács

    Published 2025-01-01
    “…Deep reinforcement learning (RL) and particle swarm optimization (PSO) are deployed in the proposed modular architecture. They are utilized to search for many resources that vary in size and exhibit a dynamic nature with unpredictable movements. …”
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    Advanced Malware Detection: Integrating Convolutional Neural Networks with LSTM RNNs for Enhanced Security by Balsam Ridha Habeeb Alsaedi

    Published 2024-12-01
    “…We began with preprocessing the data, which included resizing the images for compatibility with the network architecture. Then, we used AlexNet to extract powerful and meaningful features from the malware images. …”
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    A Scalable and Privacy-Aware Location-Sensing Model for Ephemeral Social Network Service by Yongqiang Lyu, Dezhi Hong, Ying Wang, Yinghong Hou, Zhengwen Yang, Yu Chen, Yuanchun Shi, Alvin Chin

    Published 2013-03-01
    “…The model includes the perspectives of the privacy, architecture, deployment, and positioning algorithms, which can meet the four key requirements. …”
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    Keratoconus disease classification with multimodel fusion and vision transformer: a pretrained model approach by Shokufeh Yaraghi, Toktam Khatibi

    Published 2024-05-01
    “…The fused features were then used as input to a vision transformer, a powerful architecture that has shown excellent performance in image classification tasks. …”
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