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This paper describes a new application of the Bees Algorithm to the optimisation of a Support Vector Machine (SVM) for the problem of classifying defects in plywood. The algorithm, which is a swarm-based algorithm inspired by the food foraging behaviour of honey bees, was also employed to select the components making up the feature vectors to be presented(More)
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)
Wireless sensor networks (WSNs) technologies are considered as one of the key of the research areas in computer science and healthcare application industries. The wireless body area sensor networks (WBASNs) is a wireless network used for communication among sensor nodes operating on or inside the human body in order to monitor vital body parameters and(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 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)
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)
Swarm intelligence of honey bees had motivated many bioinspired based optimisation techniques. The Bees Algorithm (BA) was created specifically by mimicking the foraging behavior of foraging bees in searching for food sources. During the searching, the original BA ignores the possibilities of the recruits being lost during the flying. The BA algorithm can(More)
This paper reports an ongoing study on designing a learning content for hearing-impaired people. Since teaching hearing-impaired people orally is too burdening, both the teachers and students, an alternative has to be provided. Hence, the idea of providing contents in electronic means came into consideration. It is useful, because the hearingimpaired(More)