In this study, the multilayer neural networks (MLNNs) with sigmoid hidden layers and radial basis function neural networks (RBFNNs) were compared for quantitative identification of individual gas concentrations in their ...

In the last decade, wireless sensor networks have attracted many researchers. One of the main topics adopted by researchers studying on wireless sensor networks is developing routing protocols for wireless systems. Routing ...

Image processing and transmission systems may introduce some amount of distortion or artefacts in a digital image. This fact usually leads to a visual or statistical image quality assessment (IQA) required in many applications ...

Routing is one of the most important problems in Mobile Ad-hoc Networks (MANETs). Various techniques have been developed to cope with this problem. Ant-based routing is optimization technique used commonly. Ant-based routing ...

An American Sign Language (ASL) recognition system is being developed using artificial neural networks (ANNs) to translate ASL words into English. The system uses a sensory glove called the Cyberglove (TM) and a Flock of ...

Besides required courses which are compulsory for each student to be taken, universities also offer elective courses chosen by the students themselves. In their undergraduate study, since students are not guided about the ...

Besides required courses which are compulsory for each student to be taken, universities also offer elective courses chosen by the students themselves. In their undergraduate study, since students are not guided about the ...

Today, the use of Ethernet-based protocols in industrial control systems (ICS) communications has led to the emergence of attacks based on information technology (IT) on supervisory control and data acquisition systems. ...

The rapid increase in network traffic has recently led to the importance of flow-based intrusion detection systems processing a small amount of traffic data. Furthermore, anomaly-based methods, which can identify unknown ...