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An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
منشور في 2021"…Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. …"
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Multiclass feature selection with metaheuristic optimization algorithms: a review
منشور في 2022"…Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …"
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
منشور في 2024"…For mass fundus image-based glaucoma classification, an improved automated computer-aided diagnosis (CAD) model performing binary classification (glaucoma or healthy), allowing ophthalmologists to detect glaucoma disease correctly in less computational time. …"
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Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks
منشور في 2024"…Furthermore, we propose two algorithms designed to achieve optimal throughput for each scenario. …"
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Framework for rapid design and optimisation of immersive battery cooling system
منشور في 2025"…Two key parameters are optimised, namely: battery gap spacing (3–10 mm) and inlet/outlet width (5–15 mm), via Optimal Latin Hypercube Sampling, Support Vector Regression, and GDE3 algorithm. …"
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A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
منشور في 2023"…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …"
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A method for data path synthesis using neural networks
منشور في 2017"…The method is based on the modified Hopfield neural network model of computation and the McCulloch-Pitts binary neuron model. …"
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Just-in-time defect prediction for mobile applications: using shallow or deep learning?
منشور في 2023"…In this research, we evaluate the performance of traditional machine learning algorithms and data sampling techniques for JITDP problems and compare the model performance with the performance of a DL-based prediction model. …"
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Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
منشور في 2023احصل على النص الكامل
doctoralThesis