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Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks
Published 2014“…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 performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
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Conference or Workshop Item -
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Mobile data gathering algorithms for wireless sensor networks
Published 2014“…These mobile elements will go to each transmission range of each respective sensor to upload its data. In this research, a Mobile Data Gathering based Network Layout (MDG-NL) algorithm is proposed. …”
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HYBRID LOCALIZATION TECHNIQUE FOR INDOOR CHILD TRACKING USING WIRELESS SENSOR NETWORK
Published 2012“…Child kidnapping causes a lot of concerns among People. Wireless Sensor Network (WSN) could be used for child tracking as a kidnapping tool. …”
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HDRA: A Haybird Data Reduction and Routing Algorithm
Published 2024“…Despite unresolved issues within WSNs, a substantial array of applications has already been developed. For any application design, a primary objective is to optimize the WSN in terms of its lifecycle and functionality. …”
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On Clustering Algorithm Of Coverage Area Problems In Wireless Sensor Networks
Published 2024“…Wireless sensor networks (WSN) has applications in many areas such as in surveillance, healthcare, national security, military and environmental monitoring. …”
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MCRP: multiple chain routing protocol for energy efficiency in homogeneous wireless sensor networks
Published 2019“…Wireless sensor networks (WSNs) comprise a wide variety of applications. …”
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HDRA: A Haybird Data Reduction and Routing Algorithm
Published 2024“…Despite unresolved issues within WSNs, a substantial array of applications has already been developed. For any application design, a primary objective is to optimize the WSN in terms of its lifecycle and functionality. …”
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Dynamic area coverage algorithms for static and mobile wireless sensor network environments using voronoi techniques
Published 2011“…In recent years, Wireless Sensor Networks (WSNs) have gained significant research attention due to their prospects in various applications. …”
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A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network
Published 2015“…However, such algorithms are either not applicable for multiple sources or rely heavily on sensor-processor communication. …”
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Extended RECTANGLE Algorithm Using 3D Bit Rotation to Propose a New Lightweight Block Cipher for IoT
Published 2024journal::journal article -
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Energy band gap modeling of doped bismuth ferrite multifunctional material using gravitational search algorithm optimized support vector regression
Published 2021“…Bismuth ferrite (BiFeO3) is a promising multiferroic and multifunctional inorganic chemical compound with many fascinating application potentials in sensors, photo-catalysis, optical devices, spintronics, and information storage, among others. …”
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Solving fuzzy-facilities layout problem using genetic algorithm
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DC-based PV-powered home energy system
Published 2017“…In residential applications, energy engineers are always looking for optimal utilization of solar power to manage the energy use and reduce its impact on our economy and environment. …”
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