Results 91 to 100 of about 616,005 (189)

Detection of Algorithmically Generated Malicious Domain

Computer Science & Information Technology, 2018
Enoch Agyepong, William J. Buchanan, Kevin Jones   +2 more
openaire   +1 more source

Machine learning for domain generation algorithm classification

Botnets pose a significant threat to cybersecurity as they enable various malicious activities such as Distributed Denial-of-Service (DDoS) attacks and spam campaigns. The growing adoption of Domain Generation Algorithms (DGAs) by modern botnets to establish connections with their Command and Control (C&C) servers complicates containment measures ...
openaire   +3 more sources

An orderly algorithm for generation of Condorcet Domains

Condorcet domains are fundamental objects in the theory of majority voting; they are sets of linear orders with the property that if every voter picks a linear order from this set, assuming that the number of voters is odd, and alternatives are ranked according to the pairwise majority ranking, then the result is a linear order on the set of all ...
Zhou, Bei, Markström, Klas
openaire   +2 more sources

The efficiency of the application of the heap lists to the algorithm of mesh generation

Computer Assisted Methods in Engineering and Science, 2017
The paper presents an analysis of the efficiency of the application of heap lists data structures to the 2D triangular mesh generation algorithms. Such efficiency is especially important for the frontal methods for which the size of the generated mesh ...
J. Kucwaj
doaj  

Accelerating mesh-based Monte Carlo simulations using contemporary graphics ray-tracing hardware. [PDF]

J Biomed Opt
Yan S, Dwyer D, Kaeli DR, Fang Q.
europepmc   +1 more source

Multiharmonic Algorithms for Contrast-Enhanced Ultrasound. [PDF]

J Sci Comput
Nikolić V, Rauscher T.
europepmc   +1 more source

Application of knowledge graphs in rare disease research. [PDF]

Front Public Health
Fei Y, Ding H, Tong S, He Y, Cai W.
europepmc   +1 more source

Correcting noisy labels via comparative distillation: a domain adaptation approach. [PDF]

Sci Rep
Feng Y, Liu J, Zhong H.
europepmc   +1 more source

Interpretable machine learning-driven QSAR modeling for coagulation factor X inhibitors: from molecular descriptors to predictive potency. [PDF]

J Comput Aided Mol Des
Kaya AO.
europepmc   +1 more source

Image Deblurring via Frequency-Domain Feature Enhanced Convolutional Neural Networks. [PDF]

Sensors (Basel)
Guo Y, Ma L, Zhang Y.
europepmc   +1 more source