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processing algorithm » processing algorithms (توسيع البحث)
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method algorithm » mould algorithm (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
spanning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
element » elements (توسيع البحث)
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Acoustic Based Localization of Partial Discharge Inside Oil-Filled Transformers
منشور في 2022"…<p dir="ltr">This paper addresses the localization of Partial Discharge through a 3D Finite Element Method analysis of acoustic wave propagation inside a 3-phase 35kV transformer with the help of COMSOL Multiphysics software. …"
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83
Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils
منشور في 2020"…Equivalent AC resistance of spiral coils is modeled based on eddy currents simulations using Finite Element Method (FEM) and Maxwell simulator. Based on the FEM simulations, a new approximation method using separation of variables is proposed as a function of spiral coil's main parameters. …"
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84
A multi-pretraining U-Net architecture for semantic segmentation
منشور في 2025"…In this research, we propose and evaluate a modified version of a deep learning algorithm called U-Net architecture for partitioning histopathological images. …"
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85
Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations
منشور في 2022"…CIP can be used in conjunction with relevance ranking metrics like NDCG and MAP to measure the effectiveness of the cold-start recommendation algorithm.</p><h2>Other Information</h2> <p> Published in: Data Mining and Knowledge Discovery<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s10618-020-00708-6" target="_blank">http://dx.doi.org/10.1007/s10618-020-00708-6</a></p>…"
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87
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Correlation Clustering with Overlaps
منشور في 2020"…In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …"
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masterThesis -
89
Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
منشور في 2017احصل على النص الكامل
doctoralThesis -
90
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
منشور في 2019احصل على النص الكامل
doctoralThesis -
91
Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
منشور في 2025"…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …"
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MDPF: Minimum Distance Packet Forwarding for Search Applications in Mobile Ad Hoc Networks
منشور في 2009"…The goal of the proposed algorithm is to minimize the average number of hops taken to reach the node that holds the desired data. …"
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Corona power loss computation in bundled bipolar conductors
منشور في 2000"…In this paper, a finite element (FE) based algorithm devoted for the computation of the corona current and hence the corona power loss associated with bundled bipolar high voltage direct current (HVDC) conductors is presented. …"
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97
Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants
منشور في 2006"…The U-model is utilized to design an adaptive inverse controller by using a simple root-solving algorithm of Newton-Raphson. The synergy of U-model with AIC structure has provided an effective and straight forward method for adaptive tracking of nonlinear plants. …"
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98
A novel few shot learning derived architecture for long-term HbA1c prediction
منشور في 2024"…Short-term CGM time-series data are processed using both novel image transformation approaches, as well as using conventional signal processing methods. …"
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Lung nodule classification utilizing support vector machines
منشور في 2002"…The SVM classifier is trained with features extracted from 30 nodule images and 20 non-nodule images, and is tested with features out of 16 nodule/non-nodule images. …"
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article