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Network intrusion detection using machine learning techniques
(Altınbaş Üniversitesi, 2018)
Recently, it has become important to use advanced intrusion detection techniques to protect networks from the developing network attacks, which are becoming more complex and difficult to detect. For this reason, machine ...
Neural network behavior analysis based on transfer functions MLP & RB in face recognition
(Assoc Computing Machinery, 2018)
We performed multi-layer perceptron neural networks MLPNN and Radial Basis neural networks RBNN. In the MLPNN, we applied three layers (input, Hidden, and output) with sigmoid transfer function. Similarly, we used RBNN. ...
Forecasting of Twitter hashtag temporal dynamics using locally weighted projection regression
(Institute of Electrical and Electronics Engineers Inc., 2018)
Popularity of social networks opens great opportunities for market such as advertisement. Using hashtags increasingly used in twits helps us to realize popular topics on the internet. Since most of new hashtags become ...
A data mining approach for desire and intention to participate in virtual communities
(Institute of Advanced Engineering and Science, 2019)
The purpose of this study is to investigate performances of some of the data mining approaches while understanding desire and intention to participate in virtual communities and its antecedents. A research model has been ...
Prediction of commonly used drought indices using support vector regression powered by chaotic approach
(Firenze Univ Press, 2020)
An effective water resources management requires accurate predictions of possible risks. Drought is one of the most devastating phenomena that has a certain risk of occurrence. Understanding the variability of the drought ...
A novel software engineering approach toward using machine learning for improving the efficiency of health systems
(Ieee-Inst Electrical Electronics Engineers Inc, 2020)
Recently, machine learning has become a hot research topic. Therefore, this study investigates the interaction between software engineering and machine learning within the context of health systems. We proposed a novel ...
Personalized quality of experience (QOE) management using data driven architecture in 5G wireless networks
(Institute of Electrical and Electronics Engineers Inc., 2020)
the aim of this paper is to Personalized Quality of Experience (QOE) Management using Data driven Architecture in 5G Wireless Networks that consume less resources. The proposed research will be the part of the overall ...
Intrusion detection system in Iot network using machine learning
(Institute of Electrical and Electronics Engineers Inc., 2020)
Since the last decade, Internet of Things (IoT - Internet of Things) solutions have been created and applied in different branches of society, such as solutions for transport and urban communication, for example. In this ...
Detection of facial features using statistical machine learning
(Institute of Electrical and Electronics Engineers Inc., 2020)
Classification modules can be used in multiple and diverse applications. The general objective of this work is the classification of facial features using statistical learning algorithms, this means being able to detect ...
Efficient routing technique in wireless sensor network using PSO topology optimization
(Institute of Electrical and Electronics Engineers Inc., 2020)
Particle swarm optimization (PSO) is a stochastic optimization algorithm belonging to the swarm intelligence algorithms. The main characteristic of these algorithms is the communication that exists between the members of ...
