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An Alternating Projection Framework for Elementwise Masked Nonlinear Matrix Decomposition
Published 2025Get full text
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202
Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation
Published 2026“…In this work, we propose Binary-NeRV, a hybrid-precision extension of NeRV that integrates XNOR-based binary convolutions into the decoding pipeline to significantly reduce model size, bitrate, and computational complexity while reasonably preserving reconstruction fidelity. …”
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AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks
Published 2024“…Furthermore, our proposed feature selection pipeline enables us to outperform the state-of-the-art by significantly reducing the number of selected features and training time while improving accuracy. …”
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Finding novel targets for the treatment and reversal of type 2 diabetes mellitus and obesity
Published 2023“…Individually, both valine (245 ± 33 to 105 ± 23 µmol/L; p < 0.0001), and leucine (130 ± 20 to 75 ± 13 µmol/L; p < 0.05), decreased significantly in response to the BCAA-restricted diet. …”
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Wound healing potential of quercetin-3-O-rhamnoside and myricetin-3-O-rhamnoside isolated from Pistacia lentiscus distilled leaves in rats model
Published 2022“…Moreover, the cutaneous wound tissues treated with PDL 20, MM, and QM exhibited significantly higher hydroxyproline content than the negative control group, which means a high collagen biosynthesis in wound tissues. …”
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Pharmacist Role in Hypertension Management in the Community Setting: Questionnaire Development, Validation, and Application
Published 2023“…Patient satisfaction from the provided interventions/services was determined by means of an overall rating. The correlation between practiced roles and patient satisfaction with received interventions/services was determined.…”
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Artificial Intelligence Frameworks for Sentiment Variations’ Reasoning and Emerging Topic Detection
Published 2021“…With this simple method, the impact of clustering errors is significantly reduced as the wrongly clustered documents do not usually contain main keywords of high-frequency emerging topics. …”
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