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A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
منشور في 2002"…In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …"
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Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation
منشور في 2023"…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …"
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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
منشور في 2025"…The BRNN model, refined using the Adagrad optimization algorithm, efficiently integrates the learned features from both branches. …"
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MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection
منشور في 2023"…This paper proposes a novel neural architecture search (NAS) algorithm, named MSD-NAS, to automate this laborious task. …"
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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"…A CAD model of a dashboard part is incorporated into a finite element analysis to measure shear and residual stresses. …"
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VEGAWES: variational segmentation on whole exome sequencing for copy number detection
منشور في 2015"…VEGAWES is an extension to a variational based segmentation algorithm, VEGA: Variational estimator for genomic aberrations, which has previously outperformed several algorithms on segmenting array comparative genomic hybridization data. …"
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A neural networks algorithm for data path synthesis
منشور في 2003"…The algorithm is driven by a motion equation that determines the neurons firing conditions based on the modified Hopfield neural network model of computation. …"
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A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†
منشور في 2010"…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and k colours. …"
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Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy
منشور في 2023"…Adjusting the weight and bias of the ANN model using an optimization algorithm is known as the training process. …"
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Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem
منشور في 2016"…This research note describes Response-Based Unit Segmentation (REBUS), a “latent class detection” technique used in partial least squares–structural equation modeling (PLS-SEM) to examine data heterogeneity. …"
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A systematic review of text classification research based on deep learning models in Arabic language
منشور في 2020"…The evaluation criteria used in the algorithms of different neural network types and how they play a large role in the highly accurate classification of Arabic texts are discussed. …"
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NEURAL NETWORK MODEL FOR PLANNED REPLACEMENT OF BOEING 737 BRAKES
منشور في 2020"…., Boeing 737, is analyzed using the Artificial Neural Network and Weibull regression models. One-layered feed-forward back-propagation algorithm for artificial neural network whereas three parameters model for Weibull are used for the analysis. …"
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On the Optimization of Band Gaps in Periodic Waveguides
منشور في 2025الموضوعات: "…Nature-inspired optimization algorithms…"
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Modelling Exchange Rates during Currency Crisis using Neural Networks
منشور في 2006"…The models are built using the feedforward ANN structure trained by the backpropagation algorithm. …"
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
منشور في 2025"…Drawing on more than fifteen harmonized datasets that span pyrimidines, ionic liquids, graphene oxides, and additional compound families, we benchmark traditional algorithms, such as artificial neural networks, support vector machines, k-nearest neighbors, random forests, against advanced graph-based and deep architectures including three-level directed message-passing neural networks, 2D3DMol-CIC, and graph convolutional networks. …"
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Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
منشور في 2023"…The preprocessed images are segmented with hybrid Fuzzy C Means (FCM) and Gaussian Mixture Model (GMM) which partition the image into sub groups to make it easier for classification by reducing the complexity. …"
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