بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
making algorithm » cosine algorithm (توسيع البحث)
cscap algorithm » cosine algorithm (توسيع البحث)
data making » data mining (توسيع البحث)
root » room (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
making algorithm » cosine algorithm (توسيع البحث)
cscap algorithm » cosine algorithm (توسيع البحث)
data making » data mining (توسيع البحث)
root » room (توسيع البحث)
element » elements (توسيع البحث)
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Exploring the Impact of Explainable Artificial Intelligence on Decision-making in Healthcare
منشور في 2023"…The study analyses the benefits and limitations of applying XAI in healthcare decision-making processes through an exhaustive analysis of current literature and empirical data. …"
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2
A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai
منشور في 2024"…Data-driven decision-making has become increasingly widespread and relevant across all business areas, including private and public sectors. …"
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General applicability of genetic and simulated annealing algorithms for data mapping
منشور في 1995"…We experimentally analyze the general applicability of genetic algorithms (GA) and simulated annealing algorithms (SA) for mapping data to multicomputers. …"
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conferenceObject -
5
Properties of simulated annealing and genetic algorithms for mapping data to multicomputers
منشور في 1997"…We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorithms (GA) for mapping data to multicomputers. …"
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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
منشور في 2016احصل على النص الكامل
doctoralThesis -
7
An enhanced k-means clustering algorithm for pattern discovery in healthcare data
منشور في 2015"…Data mining approaches offer the methodology and technology to transform these heterogeneous data into meaningful information for decision making. …"
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article -
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Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise
منشور في 2005"…This work also provides a recursive algorithm that generates the appropriate learning gain functions that meet the arbitrary high precision output tracking objective. …"
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Using Machine Learning Algorithms to Forecast Solar Energy Power Output
منشور في 2025"…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …"
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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …"
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A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
منشور في 2016"…New technologies, such as Next-Generation Genome Sequencing, can now provide huge amounts of data in little time. Big initiatives such as the International Hapmap Project and the 1000 Genome project are making use of these technologies to provide the scientific community with a detailed genetic reference from different populations. …"
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masterThesis -
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Improved search-tree algorithms for the cluster edit problem. (c2011)
منشور في 2011احصل على النص الكامل
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masterThesis -
16
Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
منشور في 2025"…<p dir="ltr">Machine learning (ML) frameworks are transforming the development of corrosion inhibitors by enabling quantitative prediction of inhibition efficiency before synthesis. …"
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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
منشور في 2023"…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …"
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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"…This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …"
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Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm?
منشور في 2021"…The resulting model achieves an 89% predictive accuracy using historical data. A unique aspect of the model is the incorporation of self-competence, where the model defers when it cannot reasonably make a recommendation. …"