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data finding » data mining (Expand Search), data hiding (Expand Search)
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561
Reconstruction and simulation of neocortical microcircuitry
Published 2015“…The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. …”
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562
Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review
Published 2025“…This review focuses on the diagnostic accuracy of AI-assisted mammography, synthesizing findings from studies across different clinical settings and algorithms. …”
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563
Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…Therefore, in this study, we conduct a performance evaluation and comparison for various DL algorithms (LSTM, GRU, LSTM-ATT, CNN-BLSTM, CNN-LSTM and LSTM-TCN) on different datasets of Arabic cyberbullying to obtain more precise and dependable findings. …”
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564
Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models
Published 2024“…Additionally, the GRU-CNN hybrid model attained a notable accuracy of 90%. These findings establish the robustness and effectiveness of hybrid architectures in enhancing emotion recognition accuracy in Arabic speech data, presenting a novel approach for Arabic dialect sentiment analysis.…”
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565
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566
Effective dispatch strategies assortment according to the effect of the operation for an islanded hybrid microgrid
Published 2022“…Following the simulation data, load-following is the best dispatch mechanism for stand-alone microgrid architecture since it has the lowest LCOE and NPC.…”
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567
LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
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568
Automatic Recognition of Poets for Arabic Poetry using Deep Learning Techniques (LSTM and Bi-LSTM)
Published 2024“…We discuss what would be the impact of our research findings on Arabic literature in particularly Arabic poetry. …”
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569
Applications of artificial intelligence in emergency and critical care diagnostics: a systematic review and meta-analysis
Published 2024“…It uses various models and algorithms to detect patterns and specific findings to diagnose a disease with utmost accuracy. …”