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An Optimal Repeat Inspection Plan With Several Classifications
منشور في 2020احصل على النص الكامل
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Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System
منشور في 2021"…Patients have been classified into four classes: Absent, Mild, Moderate, and Severe. The model accuracy was validated with the results from different machine learning algorithms. …"
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NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY
منشور في 2022"…Therefore, this thesis proposed a Novel Stacking Classification and Prediction (NSCP) algorithm based on AAL for the older people with Multi-strategy Combination based Feature Selection (MCFS) and Novel Clustering Aggregation (NCA) algorithms. …"
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A systematic review of text classification research based on deep learning models in Arabic language
منشور في 2020"…This paper undertakes a systematic review of the latest research in the field of the classification of Arabic texts. Several machine learning techniques can be used for text classification, but we have focused only on the recent trend of neural network algorithms. …"
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احصل على النص الكامل
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7
FPGA-Based Network Traffic Classification Using Machine Learning
منشور في 2019احصل على النص الكامل
doctoralThesis -
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FPGA-Based Network Traffic Classification Using Machine Learning
منشور في 2020"…Real-time classification of internet traffic is critical for the efficient management of networks. …"
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Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
منشور في 2025"…This study addresses the challenges of imbalanced data in SAH severity classification by employing the Modified Rankin Scale (MRS) within a three-stage classification framework. …"
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The automation of the development of classification models and improvement of model quality using feature engineering techniques
منشور في 2023"…<p>Recently pipelines of machine learning-based classification models have become important to codify, orchestrate, and automate the workflow to produce an effective machine learning model. …"
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Using machine learning for disease detection. (c2013)
منشور في 2016"…Classification accuracy is a measure of how well a classification algorithm classifies the un-classified data. …"
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احصل على النص الكامل
masterThesis -
15
DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
منشور في 2022"…Distributed clustering algorithms, however, can fulfil this gap. They extract a classification model from the distributed objects even when they are in different sites and locations. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
16
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Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
منشور في 2019"…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
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احصل على النص الكامل
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18
Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems
منشور في 2021احصل على النص الكامل
doctoralThesis -
19
Classifying Maqams of Qur'anic Recitations Using Deep Learning
منشور في 2021"…Using state-of-the-art deep learning algorithms, this research focuses on the classification of the eight popular maqamat (plural of maqam). …"
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article -
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Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents
منشور في 2019"…We evaluated the performance of dry electrodes and different electrode configurations and measured overall power consumption of the system. Linear classification and several machine algorithms were trained and tested for real-time application. …"