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Toplam kayıt 13, listelenen: 1-10
Usage of Machine Learning Algorithms for Flow Based Anomaly Detection System in Software Defined Networks
(Springer, 2021)
Computer networks are becoming more complex in the number of connected nodes and the amount of traffic. The growing number and increasing complexity of cyber-attacks makes network management and security a challenge. ...
Model-Based Ideal Testing of GUI Programs-Approach and Case Studies
(EEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC., 2021)
Traditionally, software testing is aimed at showing the presence of faults. This paper proposes a novel approach to testing graphical user interfaces (GUI) for showing both the presence and absence of faults in the sense ...
ML-AdVInfect: A Machine-Learning Based Adenoviral Infection Predictor
(Frontiers, 2021)
Adenoviruses (AdVs) constitute a diverse family with many pathogenic types that infect a broad range of hosts. Understanding the pathogenesis of adenoviral infections is not only clinically relevant but also important to ...
Chronotype and Sleep Quality Assessment of Patients with Polycystic Ovary Syndrome
(Galenos, 2021)
Aim: Polycystic Ovary Syndrome (PCOS) is the most common endocrine disorder among women during the reproductive ages. The purpose of this study was to investigate the chronotype and sleep quality of PCOS patients.
Methods: ...
Twister2 Cross-platform resource scheduler for big data
(Wiley, 2021)
Twister2 is an open-source big data hosting environment designed to process both batch and streaming data at scale. Twister2 runs jobs in both high-performance computing (HPC) and big data clusters. It provides a cross-platform ...
A framework for investigating search engines’ stemming mechanisms: A case study on Bing
(John Wiley and Sons Ltd, 2021)
Big data attracts the attention of governments and a lot of companies today. The developments in technology and the Internet make it one of the important sources of big data. It is easy to get lost in the enormous amount ...
Minimizing Total Logistics Cost for Long-Haul Multi-Stop Truck Transportation
(SAGE PUBLICATIONS, 2021)
Whenever there is sufficient demand, companies generally prefer the full truckload (TL) option for long-distance transport, resulting in large and less frequent shipment operations that can be costly if inventory carrying ...
Model-based ideal testing of hardware description language (HDL) programs
(SPRINGER HEIDELBERG, 2021)
An ideal test is supposed to show not only the presence of bugs but also their absence. Based on the Fundamental Test Theory of Goodenough and Gerhart (IEEE Trans Softw Eng SE-1(2):156-173, 1975), this paper proposes an ...
Merkezi Olmayan Uygulamalar için Geli ̧stirme ve Test Ortamı: Chainex
(Institute of Electrical and Electronics Engineers Inc., 2021)
Decentralized services are increasingly being developed and their proper usage in different areas is being experimented with. Autonomous codes, which are also called smart contracts, can be developed with Integrated ...
Digital Twin Security Threats and Countermeasures: An Introduction
(Institute of Electrical and Electronics Engineers Inc., 2021)
The digital twin is based on integrated technologies such as the Internet of Things (IoT), Cloud Computing, Machine Learning, and Artificial Intelligence. The digital twin has become an important method of the digital ...