Results 231 to 240 of about 5,572,769 (345)
Editorial: Machine learning for cybersecurity. [PDF]
Wickramasinghe Brahmana CS +3 more
europepmc +1 more source
A Fats Correlation Attack on Nonlinearly Feedforward Filtered Shift-Register Sequences
R. Forré
semanticscholar +1 more source
Financial Distress and its Determinants in Rheumatoid Arthritis
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
A hybrid intrusion detection model based on dynamic spatial-temporal graph neural network in in-vehicle networks. [PDF]
Zhang J, Fan X, Zhao Z.
europepmc +1 more source
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
Improved Side-Channel Attack on CTR DRBG Using a Clustering Algorithm. [PDF]
Han J, Han DG.
europepmc +1 more source
A Spatially Resolved View on the Aging Substantia nigra: An Exploratory Proteomic Study
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
Decoding manipulative narratives in cognitive warfare: a case study of the Russia-Ukraine conflict. [PDF]
Paziuk A +3 more
europepmc +1 more source
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
A personalized federated hypernetworks based aggregation approach for intrusion detection systems. [PDF]
Abhijit CS +3 more
europepmc +1 more source

