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processing algorithm » processing algorithms (توسيع البحث)
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processing algorithm » processing algorithms (توسيع البحث)
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means algorithm » search algorithm (توسيع البحث)
element » elements (توسيع البحث)
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161
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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162
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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163
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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170
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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171
A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies
منشور في 2024"…The fingerprinting and descriptors are two commonly approach for polymer featurization. In terms of algorithms, <u>neural networks</u> (NNs), random forest (RF), and gaussian process regression (GPR) are among the most extensively applied methods. …"
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172
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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173
The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review
منشور في 2021"…We identified different machine learning models used in the selected studies, including classification models (18, 55%), regression models (5, 16%), model-based clustering methods (2, 6%), natural language processing (1, 3%), clustering algorithms (1, 3%), and deep learning–based models (3, 9%). …"
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174
Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques
منشور في 2022"…Classical machine learning algorithms with feature engineering and the convolutional neural network (CNN) with image enhancement techniques were extensively investigated to identify the best performing network for classifying thermograms. …"
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175
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176
Severity-Based Prioritized Processing of Packets with Application in VANETs
منشور في 2019"…In this study, we propose a generic prioritization and resource management algorithm that can be used to prioritize processing of received packets in vehicular networks. …"
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177
Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk
منشور في 2025"…Additionally, an online classifier is developed for streaming data, combining online PCA with a kernel-based recursive classifier using a stochastic approximation algorithm. …"
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178
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179
DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications
منشور في 2024"…To address this complexity optimally, we propose a deep reinforcement learning (DRL) approach based on the deep deterministic policy gradient (DDPG) technique. …"
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180
Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
منشور في 2019"…Our study also reveals that ensemble machine learning algorithms are more reliable and outperform standard algorithms.…"
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