بدائل البحث:
models optimization » level optimization (توسيع البحث), motor optimization (توسيع البحث), mongoose optimization (توسيع البحث)
based models » based modeling (توسيع البحث)
models optimization » level optimization (توسيع البحث), motor optimization (توسيع البحث), mongoose optimization (توسيع البحث)
based models » based modeling (توسيع البحث)
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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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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
منشور في 2024"…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …"
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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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Development of a deep learning-based group contribution framework for targeted design of ionic liquids
منشور في 2024"…<p dir="ltr">In this article, we present a novel deep learning-based group contribution framework for the targeted design of ionic liquids (ILs). This computational framework can expedite and improve the process of finding desirable molecular structures of IL via accurate property predictions in a data-driven manner. …"
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Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
منشور في 2022"…The main novelty of this work is the computer-aided diagnosis scheme for detecting abnormalities in breast ultrasound images by integrating a wavelet neural network (WNN) and the grey wolf optimization (GWO) algorithm. Here, breast ultrasound (US) images are preprocessed with a sigmoid filter followed by interference-based despeckling and then by anisotropic diffusion. …"
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Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter
منشور في 2019"…Finally, hardware results of these modulation methods are discussed and analyzed.…"
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Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering
منشور في 2024"…The method does not need to know the number of clusters before hand, as it dynamically determines it during the process. Finally, this study proposed a novel multi-view learning framework that analyzes multi-source data and generates fine clusters efficiently.…"
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On-site workshop investment problem: A novel mathematical approach and solution procedure
منشور في 2023"…Finally, conclusions and suggestions for future studies are stated.…"
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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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An Ultrafast Maximum Power Point Setting Scheme for Photovoltaic Arrays Using Model Parameter Identification
منشور في 2015"…The novel MPPT is ultrafast, resulting in conserved power in the tracking process. Finally, simulations in different scenarios are executed to validate the novel scheme’s effectiveness and advantages.…"
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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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Artificial intelligence-based methods for fusion of electronic health records and imaging data
منشور في 2022"…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"