بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
fluent learning » student learning (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
fragment based » agent based (توسيع البحث), gradient based (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
fluent learning » student learning (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
fragment based » agent based (توسيع البحث), gradient based (توسيع البحث)
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1
Fragment-based computational protein structure prediction
منشور في 2014"…The method is based on a two-phase Scatter Search algorithm that minimizes the energy function. …"
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conferenceObject -
2
Fragment based protein structure prediction. (c2013)
منشور في 2016"…This work presents a fragment based protein tertiary structure prediction method that provides suboptimal structures. …"
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masterThesis -
3
Towards Multimedia Fragmentation
منشور في 2006"…In this paper, we address multimedia database fragmentation by extending existing fragmentation algorithms to take into account key characteristics of multimedia objects. …"
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conferenceObject -
4
The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation
منشور في 2007"…We particularly discuss multimedia primary horizontal fragmentation and focus on semantic-based textual predicates implication required as a pre-process in current fragmentation algorithms in order to partition multimedia data efficiently. …"
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conferenceObject -
5
Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024"…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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6
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7
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024"…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. …"
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8
Auto-indexing Arabic texts based on association rule data mining. (c2015)
منشور في 2015"…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. …"
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masterThesis -
9
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10
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
منشور في 2023"…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …"
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11
Mining airline data for CRM strategies. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
12
Indexing Arabic texts using association rule data mining
منشور في 2019"…The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. …"
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13
Artificial intelligence-based methods for fusion of electronic health records and imaging data
منشور في 2022"…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"
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14
حوكمة الذكاء الاصطناعي ضمن أحكام القانون الدولي لحقوق الإنسان
منشور في 2022احصل على النص الكامل
article -
15
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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16
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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18
Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
منشور في 2021"…The outcomes of the DNA microarray is a table/matrix, called gene expression data. Pattern recognition algorithms are widely applied to gene expression data to differentiate between health and cancerous patient samples. …"
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19
Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data
منشور في 2021"…<p dir="ltr">In the current ongoing crisis, people mostly rely on mobile phones for all the activities, but query analysis and mobile data security are major issues. Several research works have been made on efficient detection of antipatterns for minimizing the complexity of query analysis. …"
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20
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…In this paper, the proposed algorithm selects relevant observations from the original data set by utilizing a class interval technique (i.e. histogram) to maintain a bunch of representative samples from each bin. …"