Trustworthy Graph Neural Networks (GNNs) for EEG emotion recognition should identify emotions accurately and elucidate corresponding rationales. Current GNNs have achieved notable performance by dynamically modeling e...
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The Internet of Things (IoT) has rapidly expanded over the past few years and has begun taking over many aspects of our lives, including hospitals, houses, roadways, and much more. Due to its expansion, IoT may become...
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Wireless sensor network (WSN) has been widely used due to its vastrange of applications. The energy problem is one of the important problems influencingthe complete application. Sensor nodes use very small batteries a...
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Wireless sensor network (WSN) has been widely used due to its vastrange of applications. The energy problem is one of the important problems influencingthe complete application. Sensor nodes use very small batteries as a powersource and replacing them is not an easy task. With this restriction, the sensornodes must conserve their energy and extend the network lifetime as long as ***, these limits motivate much of the research to suggest solutions in alllayers of the protocol stack to save energy. So, energy management efficiencybecomes a key requirement in WSN design. The efficiency of these networks ishighly dependent on routing protocols directly affecting the network *** is one of the most popular techniques preferred in routing *** this work we propose a novel energy-efficient protocol for WSN based on a batalgorithm called ECO-BAT (Energy Consumption Optimization with BAT algorithmfor WSN) to prolong the network lifetime. We use an objective function thatgenerates an optimal number of sensor clusters with cluster heads (CH) to minimizeenergy consumption. The performance of the proposed approach is comparedwith Low-Energy Adaptive Clustering Hierarchy (LEACH) and EnergyEfficient cluster formation in wireless sensor networks based on the Multi-Objective Bat algorithm (EEMOB) protocols. The results obtained are interestingin terms of energy-saving and prolongation of the network lifetime.
Serious Games as video games whose main goal is education rather than entertainment must adapt to the cognitive and emotional aptitudes of the learner-player to optimize his interaction experience and adapt interventi...
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Data analysis, private protection, detecting unusual things, identifying people, and transferring data are part of the study's unique security design. The major system method is AUA. Your authentication level depe...
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In this paper, we address control problems for a mathematical model describing the dynamic Coulomb frictional contact between a thermo-electro-viscoelastic body and a rigid foundation that is electrically and thermall...
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Mainstream approaches for unsupervised domain adaptation (UDA) learn domain-invariant representations to address the domain shift. Recently, self-training has been used in UDA, which exploits pseudo-labels for unlabel...
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This study presents the development of ultra-thin azo-dyepolarizers, notable for their minimal thickness (100-200 nm) and superior optical performance, with polarization efficiency exceeding 99.9%, extinction ratios a...
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As the world is sailing toward a highly advanced digital financial culture with the advent of financial technologies (FinTech), more and more people are now under the shore of financial inclusion. Subsequently, new op...
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This study presents the characterization and performance evaluation of photo-aligned azo-dye thin-film polarizers, highlighting their ultra-thin profiles and superior optical functionalities. Utilizing cost-effective ...
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