Research ArticleOpen accessIn the author namesDetermination of Neuromuscular Diseases Using Complexity of Electromyogram SignalsKawser Ahammed, Mosabber Uddin AhmedCharacterization of Electromyogram (EMG) signals is important for identifying neuromuscular diseases. Although various techniques were implemented for classification, none of them were implemented in the complexity domain. In this study, characterization of EMG signals recorded from healthy, neuropathic and myopathic subjects has been performed in complexity domain based on Multiscale Entropy (MSE) method. To do this, the multiscale entropy method … …Neuroscience International, Vol. 10, Issue 1 · 7 Dec 2019 · 7,931 accessesView PDFCite
Research ArticleOpen accessIn the author namesIdentification of Human Emotions via Univariate and Multivarite Multiscale EntropyKawser AhammedThis work analyzes the emotions of human in terms of complexity. This analysis is achieved by applying both univariate and multivariate multiscale entropy methods on a multimodal dataset. Most of the contemporary human-computer interaction systems are unable to identify human affective states. So, the benefit of analyzing human emotions is to fill this gap by detecting human affective states. The … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 3 · 23 Jul 2015 · 8,125 accessesView PDFCite
Research ArticleOpen accessIn the author namesPerformance Comparison of Active Queue Management TechniquesT. B. Reddy, A. AhammedCongestion is an important issue which researchers focus on in the Transmission Control Protocol (TCP) network environment. To keep the stability of the whole network, congestion control algorithms have been extensively studied. Queue management method employed by the routers is one of the important issues in the congestion control study. Active Queue Management (AQM) has been proposed as a router-based … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 7,193 accessesView PDFCite