Results 231 to 240 of about 5,572,769 (345)

Editorial: Machine learning for cybersecurity. [PDF]

open access: yesFront Artif Intell
Wickramasinghe Brahmana CS   +3 more
europepmc   +1 more source

A Fats Correlation Attack on Nonlinearly Feedforward Filtered Shift-Register Sequences

open access: yesInternational Conference on the Theory and Application of Cryptographic Techniques, 1990
R. Forré
semanticscholar   +1 more source

Financial Distress and its Determinants in Rheumatoid Arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objective To quantify the degree of financial distress and identify its determinants in adults with rheumatoid arthritis (RA) given the frequent chronic use of expensive disease modifying therapies. Methods We identified adults enrolled in the FORWARD databank with either RA or non‐inflammatory musculoskeletal disease (NIMSKD) completing the Functional
Amber Brown Keebler   +5 more
wiley   +1 more source

Unrolling of Syngonium podophyllum: Functional Anatomy, Morphology and Modelling of Its Peltate Leaves

open access: yesAdvanced Biology, EarlyView.
The unrolling of the peltate leaves in Syngonium podophyllum is analyzed and quantified (left‐hand side to center). These measurements serve to verify a mathematical model for leaf unrolling based on the model used in Schmidt (2007). An additional formula for obtaining a layer mismatch from a prescribed radius is derived.
Michelle Modert   +4 more
wiley   +1 more source

A Spatially Resolved View on the Aging Substantia nigra: An Exploratory Proteomic Study

open access: yesAdvanced Biology, EarlyView.
Although aging is the most important risk factor for several neurodegenerative diseases, the molecular effects of physiological aging are still understudied. By applying spatially‐resolved proteomic analyses of the human substantia nigra pars compacta, alterations in vesicular trafficking and mitochondrial proteins are observed, as well as reduced ...
Britta Eggers   +10 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy