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Toplam kayıt 66, listelenen: 11-20
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. ...
Imputation Method Based on Sliding Window for Right-Censored Data
(Springer, 2020)
Censored data arise in almost all important statistical analyses. For example, in patient-based studies, biostatistics data often subject to right censoring due to the detection limits, or to incomplete data. In the context ...
The Effects of Presynch-10 and Ovsynch on Some Endometrial Toll- and Nod-like Receptor Gene Expressions in Repeat Breeder Cows
(Kafkas Univ, Veteriner Fakultesi Dergisi, 2020)
Subclinical endometritis (SE) is one cause of repeat breeder syndrome (RBS). When endometrial cells come into contact with antigens during inflammatory events like endometritis, they act like innate immune system cells. ...
Performance evaluation of machine learning algorithms for detecting abnormal data traffic in computer networks
(Institute of Electrical and Electronics Engineers Inc., 2020)
Detection and classification of abnormal data in computer network traffic is a very important cyber-security problem. In this study, the aim is to determine the methods with a high rate of success in classifying the data ...
Morphology effect on electrochemical properties of doped (W and Mo) 622NMC, 111NMC, and 226NMC cathode materials
(Pergamon-Elsevier Science Ltd, 2020)
An investigation was carried out on layered Li(NixMnyCo1-x-y)O-2 (NMC) cathode active materials for Li-ion batteries to determine the effect of morphology on their electrochemical performances. The NMC active materials ...
Study Case: D-STATCOM in Low-Cost Hardware in the Loop for Voltage Sag Mitigation
(IEEE, 2021)
This paper is to study a Distributed Static Compensator (D-STATCOM) for voltage sag mitigation using a low-cost microcontroller in hardware in the loop (HIL) application. A framework of HIL-Matlab-Simulink simulation is ...
Models in Graphical User Interface Testing: Study Design
(IEEE, 2020)
Model-based GUI testing is an important concept in Software GUI testing. Manual testing is a time-consuming labor and heavily error-prone. It has several well-accepted models that Software Testing community has been working ...
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 ...
Treatment of olive wastewater by using sonocatalytic oxidation and synthesis of activated carbon supported catalysis systems
(Elsevier Ltd, 2021)
Olive mill wastewater (OMW) generated by the olive oil extracting industry is a major pollutant, because of its high organic load and phytotoxic and antibacterial phenolic compounds which resist biological degradation. ...
Synthesis of activated carbon supported catalysis systems and research for sonocatalytic performance on wastewater treatment
(Elsevier Ltd, 2021)
In the present study, it was aimed to purify the olive pitch containing high toxic substance by using advanced oxidation techniques using sonocatalytic oxidation method for these processes, TiO2/AC, WO3/TiO2/AC, V2O5/TiO2/AC ...