بدائل البحث:
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
element » elements (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
element » elements (توسيع البحث)
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
منشور في 2025"…Drawing on more than fifteen harmonized datasets that span pyrimidines, ionic liquids, graphene oxides, and additional compound families, we benchmark traditional algorithms, such as artificial neural networks, support vector machines, k-nearest neighbors, random forests, against advanced graph-based and deep architectures including three-level directed message-passing neural networks, 2D3DMol-CIC, and graph convolutional networks. …"
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Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm
منشور في 2018"…<p dir="ltr">This paper proposes a high performance control scheme for a double function grid-tied double-stage PV system. It is based on model predictive power control with space vector modulation. …"
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Hybrid Deep Learning-based Models for Crop Yield Prediction
منشور في 2022"…In this study, we developed deep learning-based models to evaluate how the underlying algorithms perform with respect to different performance criteria. …"
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Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
منشور في 2022"…While the previous studies mostly used ANN to demonstrate the capability of MLs to predict PG over the mechanistic or correlation-based models, the present research has shown that GP is even better than ANN using a wide range of FPs and a large data set.…"
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Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT)
منشور في 2015"…Looking at the historical data of students, fuzzy logic can be used to develop rules based on these data. Genetic Algorithm would be used to optimize the performance of the system.…"
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conferenceObject -
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An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network
منشور في 2021"…In this work, an efficient medical decision system for diabetes prediction based on Deep Neural Network (DNN) is presented. …"
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Predicting Plasma Vitamin C Using Machine Learning
منشور في 2022"…The objective of this study is to predict plasma vitamin C using machine learning. The NHANES dataset was used to predict plasma vitamin C in a cohort of 2952 American adults using regression algorithms and clustering in a way that a hypothetical health application might. …"
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Multi-marker-LD based genetic algorithm for tag SNP selection
منشور في 2014"…The results indicate that the multi-marker linkage disequilibrium based genetic algorithm yields better prediction accuracy.…"
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article -
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Scatter search metaheuristic for homology based protein structure prediction. (c2015)
منشور في 2015"…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. …"
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masterThesis -
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Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review
منشور في 2023"…A higher level of accuracy (99%) was found in studies that used support vector machine, decision trees, and k-means clustering algorithms. </p><h3>Conclusions </h3><p dir="ltr">This review presents an overview of studies based on AI models and algorithms used to predict and diagnose pancreatic cancer patients. …"
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AI-based remaining useful life prediction and modelling of seawater desalination membranes
منشور في 2024احصل على النص الكامل
doctoralThesis -
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Developing a UAE-Based Disputes Prediction Model using Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis -
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Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
منشور في 2019"…Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …"
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40
Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review
منشور في 2021"…Machine learning models were the most prominent branch of AI used in the prediction of cardiac arrest in the studies (38/47, 81%), and the most used algorithm was the neural network (23/47, 49%). …"