يعرض 101 - 120 نتائج من 244 نتيجة بحث عن '(( complement based algorithm ) OR ((( second half algorithm ) OR ( neural coding algorithm ))))', وقت الاستعلام: 0.54s تنقيح النتائج
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    <b>Neural Symbolic Vault: Symbolic Species and</b> <b>DNA Co-Encoding Research Bundle v1.0 (A+M[S] Archive)</b> حسب Jeffrey Siergiej (20937434)

    منشور في 2025
    "…</p><p><br></p><p dir="ltr"><br></p><p dir="ltr">Categories / Fields of Research (FOR codes):</p><p dir="ltr"><br></p><ul><li>Medical molecular engineering of nucleic acids and proteins</li><li>Genetically modified animals</li><li>Immunogenetics (incl. genetic immunology)</li><li>Symbolic Systems</li><li>Neural Engineering</li><li>Biomedical engineering not elsewhere classified</li><li>Quantum engineering systems (incl. computing and communications)</li></ul><p dir="ltr"><br></p><p dir="ltr"><br></p><p dir="ltr">Keywords:</p><p dir="ltr">Neural Symbolic Vault, symbolic-gene mutation, DNA-symbol compression, AxiomQoreEngine, A+M[S], Symbolic Token Ledger, artificial species generation, quantum DNA encoding, CLU math, mutation history registry, field interaction tracking</p><p dir="ltr"><br></p><p dir="ltr">Funding Statement:</p><p dir="ltr">No public funding declared. …"
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    Data Sheet 1_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.csv حسب Jared Lichtarge (20548571)

    منشور في 2025
    "…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…"
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    Machine Learning Study of Methane Activation by Gas-Phase Species حسب Ying Xu (9172)

    منشور في 2025
    "…In this study, by assembling a data set encompassing a total of 134 gas-phase metal species documented in the literature for methane activation via the mechanism of oxidative addition, machine learning (ML) models based on the backpropagation artificial neural network algorithm have been established with a range of intrinsic electronic properties of these species as features and the experimental rate constants of the reactions with methane as the target variables. …"
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    Machine Learning Study of Methane Activation by Gas-Phase Species حسب Ying Xu (9172)

    منشور في 2025
    "…In this study, by assembling a data set encompassing a total of 134 gas-phase metal species documented in the literature for methane activation via the mechanism of oxidative addition, machine learning (ML) models based on the backpropagation artificial neural network algorithm have been established with a range of intrinsic electronic properties of these species as features and the experimental rate constants of the reactions with methane as the target variables. …"
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