Massudi Mahmuddin

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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)
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)
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)
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)
Using technology for food objects recognition and estimation of its calories is very useful to spread food culture and awareness among people in the age of obesity due to the bad habits of food consumption and wide range of inappropriate food products. Image based sensing of such system is very promising with the large expanding of camera embedded portable(More)