بدائل البحث:
made learning » based learning (توسيع البحث), smart learning (توسيع البحث), machine learning (توسيع البحث)
made learning » based learning (توسيع البحث), smart learning (توسيع البحث), machine learning (توسيع البحث)
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A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
منشور في 2016"…A lot of advancement has been made in the field of population genetics in the past decade. …"
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masterThesis -
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Boosting the visibility of services in microservice architecture
منشور في 2023"…These assessments can be performed by means of a live health-check service, or, alternatively, by making a prediction of the current state of affairs with the application of machine learning-based approaches. In this research, we evaluate the performance of several classification algorithms for estimating the quality of microservices using the QWS dataset containing traffic data of 2505 microservices. …"
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A heuristics for HTTP traffic identification in measuring user dissimilarity
منشور في 2020"…The study utilizes HTTP request method of GET filtering, to develop a heuristic algorithm to identify user-initiated requests. The algorithm was experimentally tested on a group of users, to ascertain the certainty of identifying user-initiated requests. …"
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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
منشور في 2019احصل على النص الكامل
doctoralThesis -
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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass
منشور في 2025"…However, traditional monitoring methods can be labor-intensive and costly, especially in complex underwater environments. Deep learning approaches have made significant progress in digital image processing, particularly in object recognition and classification, and are among the most popular computer vision tools. …"
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Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
منشور في 2023"…A sizable dataset of electronic text data was gathered from multiple social media platforms like Twitter, Instagram, YouTube, and many more sites in order to examine cyberbullying in social media using machine learning and deep learning techniques. The data needs to be initially prepared so that deep learning algorithms may be trained on it before cyberbullying analysis can be done. …"
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A Hybrid Transfer Learning Approach to Teeth Diagnosis Using Orthopantomogram Radiographs
منشور في 2024"…Fortunately, the availability of modern computing devices has made the automated diagnosis of teeth readily possible using deep learning. …"
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Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
منشور في 2022"…Prior to performing sentiment analysis, it is necessary to prepare the data so that it may be used to train machine learning (ML) algorithms. In order to label the data that was gathered from a corpus collection for ML use, manual annotation was made. …"
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A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis
منشور في 2021"…We have made our software accessible to the community via GitHub.…"
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KNNOR: An oversampling technique for imbalanced datasets
منشور في 2021"…<p>Predictive performance of Machine Learning (ML) models rely on the quality of data used for training the models. …"
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Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
منشور في 2024"…Although Evolutionary Algorithms (EAs) have shown promise in the literature for feature selection, creating EAs for high dimensions is still challenging. …"
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An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System
منشور في 2019"…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …"
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Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
منشور في 2022"…Data-driven algorithms with capabilities to predict the system’s dynamic behavior still need to be developed. …"
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