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Network Intrusion Detection Systems (NIDSs) are widely-deployed security tools for detecting cyber-attacks and activities conducted by intruders for observing network traffics. With the increase in network speed and number and types of attacks, existing NIDSs, face challenges of capturing every packet to compare them to malicious signatures. These(More)
The goal of QoS-aware service composition is to generate optimal composite services that satisfy QoS requirements defined by clients. However, when compositions contain multiple execution paths, it is difficult to generate a solution that simultaneously optimizes all the execution paths involved in the composition at the same time, while meets global QoS(More)
Keywords: Dominant color descriptor MPEG-7 Object-and content-based image retrieval Semantic feature Similarity measures Salient object detection Background dominance problem Linear Block Algorithm a b s t r a c t Color has been extensively used in the process of image retrieval. The dominant color descriptor (DCD) that was proposed by MPEG-7 is a famous(More)
Brain status information is captured by physiological electroencephalogram (EEG) signals, which are extensively used to study different brain activities. This study investigates the use of a new ensemble classifier to detect an epileptic seizure from compressed and noisy EEG signals. This noise-aware signal combination (NSC) ensemble classifier combines(More)
Brain is the most important part in the human body controlling muscles and nerves; Electroencephalogram (EEG) signals record brain electric activities. EEG signals capture important information pertinent to different physiological brain states. In this paper, we propose an efficient framework for evaluating the power-accuracy trade-off for EEG-based(More)
Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems. Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes. In this paper, we conduct a(More)
Healthcare system in rural area is equally as important as who live in the urban or modern city counterparts. Due to geographically difficulty to access by the modern transportation, wireless communication is one of the possible approaches to reach these areas. On the key aspect is the infrastructure reliability to securing knowledge transfer amongst(More)
This study aims to find e-Learning users' behavior model that use data mining techniques to predict the successful learning behavior in utilizing e-Learning systems and to develop appropriate e-Learning users' behavior models that could be used broadly in other higher institutions. Due to the lack of suitable e-Learning user's behavior model for open source(More)
With the huge increase of software functionalities, sizes and application domain, the difficulty of categorizing and classifying software for information retrieval and maintenance purposes is on demand. This work includes the use of Latent Semantic Indexing (LSI) in classifying neural network and k-nearest neighborhood source code programs. Functional(More)
Agriculture is one of the most significant domains in need of knowledge sharing and Decision Support Systems (DSS) that can help farmers make decisions to solve complex problems. Monoculture agriculture has many problems such as plant disease dramatically decreasing product price. Intercropping is an alternative way to reduce a risk of market price and(More)