Results 51 to 60 of about 35,400 (281)
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
Fraud detection has increasingly become a prominent research field due to the dramatically increased incidents of fraud. The complex connections involving thousands, or even millions of nodes, present challenges for fraud detection tasks.
Mingjiang Duan +5 more
semanticscholar +1 more source
Deep Learning Approach to DGA Classification for Effective Cyber Security
In recent years, invaders are increasing rapidly in an internet world. Generally, in order to detect the anonymous attackers algorithm needs more number of features. Many algorithms fail in the efficiency of detection malicious code.
Karunakaran P
semanticscholar +1 more source
A New Multi-Path Hybrid Classifier for Transformer Oil Fault Diagnostic
This work aims to provide advances in diagnosis algorithms using intelligent techniques and represents an application in fault detection and classification in oil-immersed power transformers.
Youcef Benmahamed +5 more
doaj +1 more source
Dental care and treatments provided under general anaesthesia in the Helsinki Public Dental Service
Background Dental general anaesthesia (DGA) is a very efficient treatment modality, but is considered only in the last resort because of the risks posed by general anaesthesia to patients’ overall health.
Savanheimo Nora +3 more
doaj +1 more source
Non-typhoidal Salmonella ingeniously scavenges energy for growth from tyramine (TYR) and d-glucuronic acid (DGA), both of which occur in the host as the metabolic byproducts of the gut microbial metabolism. A critical first step in energy scavenging from
Raquel Burin, Devendra H. Shah
doaj +1 more source
Analyzing the real-world applicability of DGA classifiers [PDF]
Separating benign domains from domains generated by DGAs with the help of a binary classifier is a well-studied problem for which promising performance results have been published.
Arthur Drichel +3 more
semanticscholar +1 more source
Thesis (M.S.)-- Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer ScienceBotnets are a collection of devices that have been infected with malware to grant control to a cyber attacker over that device. Botnets
Akins, Brian C.
core
Phoenix: DGA-Based Botnet Tracking and Intelligence [PDF]
Modern botnets rely on domain-generation algorithms (DGAs) to build resilient command-and-control infrastructures. Given the prevalence of this mechanism, recent work has focused on the analysis of DNS traffic to recognize botnets based on their DGAs ...
Cavallaro, Lorenzo +8 more
core +1 more source
Analysis Method of Strontium[90Sr] in Medical Yttrium[90Y] Chloride Solution
For the rapid analysis of the amoun of 90Sr in medical yttrium[90Y] chloride solution, 90Sr was separated from the yttrium[90Y] chloride solution by DGA resin,and measured by a liquid scintillation counter.
Yao YANG +6 more
doaj +1 more source
This simulation experiment performed by Aspen Hysys is about theoretical investigation of gas sweetening performance of single amine solvents MEA1, MDEA2, DEA3, DGA4, DIPA5 and mixed amine solvents DGA–MEA, DEA–MDEA and SULFOLANE6–MDEA.
Nilay Kumar Sarker
doaj +1 more source

