In order to address the convergence issues faced by traditional multi-objective optimization algorithms as the number of objectives increases, this paper proposes a new optimization algorithm, MaOEA-SPC, based on the ...
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作者：
Alam, FahadEl-Atab, Nazek
Electrical and Computer Engineering Computer Electrical Mathematical Science and Engineering Division Thuwal23955-6900 Saudi Arabia
The current work demonstrates 3D printing of transparent sheets embedded with zinc oxide (ZnO) nanoparticles for the encapsulation of solar panels for protection and thermal management. Thin transparent sheets were pr...
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Data security assurance is crucial due to the increasing prevalence of cloud computing and its widespread use across different industries,especially in light of the growing number of cybersecurity threats.A major and ...
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Data security assurance is crucial due to the increasing prevalence of cloud computing and its widespread use across different industries,especially in light of the growing number of cybersecurity threats.A major and everpresent threat is Ransomware-as-a-Service(RaaS)assaults,which enable even individuals with minimal technical knowledge to conduct ransomware *** study provides a new approach for RaaS attack detection which uses an ensemble of deep learning *** this purpose,the network intrusion detection dataset“UNSWNB15”from the Intelligent Security Group of the University of New South Wales,Australia is *** the initial phase,the rectified linear unit-,scaled exponential linear unit-,and exponential linear unit-based three separate Multi-Layer Perceptron(MLP)models are ***,using the combined predictive power of these three MLPs,the RansoDetect Fusion ensemble model is introduced in the suggested *** proposed ensemble technique outperforms previous studieswith impressive performance metrics results,including 98.79%accuracy and recall,98.85%precision,and 98.80%*** empirical results of this study validate the ensemble model’s ability to improve cybersecurity defenses by showing that it outperforms individual *** expanding the field of cybersecurity strategy,this research highlights the significance of combined deep learning models in strengthening intrusion detection systems against sophisticated cyber threats.
Microgrids (MGs) with low inertia are more susceptible to instability from faults and disturbances compared to large power grids. This leads to an increased likelihood of instability when they move from pre-fault to p...
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We study Multi-Agent Path Finding for arrangements of labeled agents in the interior of a simply connected domain: Given a unique start and target position for each agent, the goal is to find a sequence of parallel, c...
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Accurate prediction of drivers' gaze is an important component of vision-based driver monitoring and assistive systems. Of particular interest are safety-critical episodes, such as performing maneuvers or crossing...
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The intersection of 6G technology, the Internet of Things (IoT), and Intelligent Transportation System (ITS) to address the persistent challenge of Unmanned Aerial Vehicles (UAVs) with limited battery life is explored...
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The utilization of APIs not only enhances software reusability but also improves development efficiency and reduces costs. However, with the continuous increase in the number of APIs, developers face difficulties in q...
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In this paper, we model and characterize an unconventionally wide GaN HEMT device. Each finger of the device has a width of 150 μ m which allows the modeling methodology to examine the wave propagation effects at hig...
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This paper introduces a multi-distance non-contact vital sign signal reconstruction and extraction algorithm based on frequency modulated continuous wave (FMCW) millimeter wave radar. The technology of measuring vital...
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