Showing 2,281 - 2,300 results of 3,741 for search '(( (sources OR (resource OR source)) utilization function ) OR ( sources utilization function ))', query time: 0.33s Refine Results
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    medAL-suite: A software solution for creating and deploying complex clinical decision support algorithms by Ludovico Gennaro Cobuccio, Vincent Faivre, Rainer Tan, Alan Vonlanthen, Fenella Beynon, Emmanuel Barchichat, Alain Fresco, Quentin Girard, Sinan Ucak, Sylvain Schaufelberger, Ibrahim Evans Mtebene, Peter Agrea, Emmanuel Kalisa, Gillian A. Levine, Martin Norris, Sabine Renggli, Alix Miauton, Lisa Cleveley, Kristina Keitel, Julien Thabard, Valérie D’Acremont, Alexandra V. Kulinkina

    Published 2025-07-01
    “…Discussion The medAL-suite focused on democratized development, process-centric design, point-of-care utility, touch-screen interface, low cost, and low power consumption to contribute to sustainable digital systems in low-resource settings. …”
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    RANCANG BANGUN MINI LAB FLUIDA SEBAGAI OBJEK PENGAMBILAN DATA UNTUK KEPERLUAN PENELITIAN DI UNIVERSITAS MERCUBUANA KERANGGAN by Aji Gunawan

    Published 2020-03-01
    “…Kata kunci : Lab fluida, perpipaan, pengujian Abstract The fluid lab is functioned as a place for retrieving data in order to learn the process and leading research of fluid. …”
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    Advances in Stem Cell Therapy for Huntington’s Disease: A Comprehensive Literature Review by Siddharth Shah, Hadeel M. Mansour, Brandon Lucke-Wold

    Published 2025-01-01
    “…Recent research indicates that NSCs have been the most often utilized stem cell type for treating HD. NSCs have been generated and extracted from a variety of sources, including HD patients’ somatic cells and the brain itself. …”
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    Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm by Mohamed Ebeed, Sabreen hassan, Salah Kamel, Loai Nasrat, Ali Wagdy Mohamed, Abdel-Raheem Youssef

    Published 2025-02-01
    “…The EM problem tackled involves optimizing the scheduling of multiple energy sources, including diesel generators, PV units, and batteries, within a smart building context. …”
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    A Two-Stream Deep Learning Framework for Robust Coral Reef Health Classification: Insights and Interpretability by Arslan Abdul Ghaffar, Gyu Sang Choi

    Published 2025-01-01
    “…We created a specialized dataset of 20,000 images by combining five public datasets, applying a class fusion process to ensure consistent class definitions across diverse data sources. Our methodology addresses challenges such as underwater variation and class imbalance through tailored data augmentation, multi-scale feature analysis, temporal modeling, and weighted loss functions. …”
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    The Digital Transformation of Tafsir and Its Implications for Islamic Legal Derivation in the Contemporary Era by Ali Sati, Abdul Halim, Abdul Hayy Nasution, Muhammad Ridwan

    Published 2025-06-01
    “…Moving beyond a purely epistemological analysis, the study critically assesses how digital interfaces affect interpretive authority and methodological integrity and the production of contemporary legal responses to real-world issues, including Islamic digital finance, artificial intelligence ethics, and Sharia-based policymaking in digital environments. Utilizing a qualitative literature review combined with thematic content analysis, this research draws on classical sources and contemporary scholarship to investigate the shifting landscape of Islamic legal derivation in the digital age. …”
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    Auto-Probabilistic Mining Method for Siamese Neural Network Training by Arseniy Mokin, Alexander Sheshkus, Vladimir L. Arlazarov

    Published 2025-04-01
    “…Training deep learning models for classification with limited data and computational resources remains a challenge when the number of classes is large. …”
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    FPGA-accelerated SpeckleNN with SNL for real-time X-ray single-particle imaging by Abhilasha Dave, Cong Wang, James Russell, Ryan Herbst, Jana Thayer

    Published 2025-06-01
    “…This hardware realization transitions SpeckleNN from a prototypic model into a practical edge solution, optimized for running inference near the detector in high-throughput X-ray free-electron laser (XFEL) facilities, such as those found at the Linac Coherent Light Source (LCLS). To address the resource constraints inherent in FPGAs, we developed a more specialized version of SpeckleNN. …”
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