بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
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101
Bootstrap-based Aggregations and their Stability in Feature Selection
منشور في 2022احصل على النص الكامل
doctoralThesis -
102
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
منشور في 2023"…One of the key aspects of WDs with machine learning (ML) algorithms is to find specific data signatures, called Digital biomarkers, that can be used in classification or gaging the extent of the underlying condition. …"
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103
Intelligent Bilateral Client Selection in Federated Learning Using Game Theory
منشور في 2022"…Based on our simulation findings, our strategy surpasses the VanillaF selection approach in terms of maximizing both the revenues of the client devices and accuracy of the global federated learning model.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
104
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105
On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach
منشور في 2022"…The design is carried out based on the selection of the optimal model parameters using a search optimization algorithm called GridSearchCV. …"
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106
Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction
منشور في 2024"…Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. …"
احصل على النص الكامل
article -
107
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024"…Moreover, the study proposes a hybrid algorithm that combines UniBFS with two filter-based FS methods, ReliefF and Fisher, to identify pertinent features during the global search phase. …"
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108
Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)
منشور في 2018"…In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
109
Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
منشور في 2021"…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …"
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110
Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique
منشور في 2024"…The primary objective of this study is to estimate the CL index through an innovative approach that employs a hybrid, cluster-based, unsupervised learning technique seamlessly integrated with a 1D Convolutional Neural Network (CNN) architecture tailored for automated feature extraction, rather than conventional supervised algorithms, which facilitated in the acquisition of latent complex patterns without the need for manual categorization. …"
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111
Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments
منشور في 2025"…This paper presents a novel deep learning (DL)-based technique that leverages attention mechanisms to improve speech intelligibility through noise suppression. …"
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112
Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study
منشور في 2024"…</p><h3>Objective</h3><p dir="ltr">In this paper, we propose a machine learning–based approach for identifying research gaps through the analysis of scientific literature. …"
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113
A collaborative filtering recommendation framework utilizing social networks
منشور في 2023"…The current study proposes a collaborative filtering recommendation framework that employs social networks to generate more precise and pertinent recommendations. The framework is based on a modified version of the user-based collaborative filtering algorithm, which computes user similarity based on their ratings and social connections. …"
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114
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115
Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
منشور في 2022"…Over the decade, numerous artificial neural network (ANN)-based techniques were adopted in order to diagnose and classify breast cancer due to the unique characteristics of learning key features from complex data via a training process. …"
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116
Data Generation for Path Testing
منشور في 2004احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
117
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118
Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework
منشور في 2022"…<div><p>Fog computing (FC) based sensor networks have emerged as a propitious archetype for next-generation wireless communication technology with caching, communication, and storage capacity services in the edge. …"
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119
Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
منشور في 2021"…Raw data preprocessing and outliers detection and filtering algorithms were applied at the first stage of the analysis, and consequently, an activity-based travel matrix was developed for each household. …"
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120
A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies
منشور في 2024"…This study aims to bridge this gap by comprehensively reviewing ML concepts, approach, and algorithms in the <u>membrane separation</u> sector. …"