بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
per algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث), search algorithm (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
element per » elementi per (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
per algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث), search algorithm (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
element per » elementi per (توسيع البحث)
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281
Improving Rule Set Based Software Quality Prediction
منشور في 2003احصل على النص الكامل
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article -
282
An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
منشور في 2024"…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …"
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283
Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles
منشور في 2017"…The identified a priori knowledge is used to implement an optimal Kalman filter, a multi-hypothesis Kalman filter, and a variant of the full information estimator (moving horizon estimator) to the problem at hand. The proposed algorithms are initially deployed in a simulation environment, and then the experimental data sets are fed into the algorithms to validate their performance. …"
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article -
284
Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea
منشور في 2018"…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …"
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article -
285
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286
Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review
منشور في 2023"…New technology, algorithms, data processing, and AI are new approaches to improving corrosion monitoring processes. …"
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287
A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making
منشور في 2024"…The availability of solar radiation throughout the country has been mapped here using ground-based measurements and satellite data. The regression-kriging algorithm and its variants are used to calibrate satellite data, through interpolation of ground solar radiation data. …"
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288
Innovative mobile E-healthcare systems
منشور في 2016"…Caching is one of the key methods in distributed computing environments to improve the performance of data retrieval. To find which item in the cache can be evicted and replaced, cache replacement algorithms are used. …"
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article -
289
Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context
منشور في 0024"…These platforms enhance academic performance by fostering collaborative learning environments and generating extensive data from every user interaction. Machine learning algorithms can process large and complex datasets to identify patterns and trends that may not be immediately apparent. …"
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290
Scheduling and allocation in high-level synthesis using stochastic techniques
منشور في 2020"…High-level synthesis is the process of automatically translating abstract behavioral models of digital systems to implementable hardware. …"
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291
Positive Unlabelled Learning to Recognize Dishes as Named Entity
منشور في 2019"…With the lack of labelled data, I try to overcome the cold start and avoid manual labelling by building a lookup table from a dictionary. …"
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292
Modelling of pollutant transport in compound open channels
منشور في 1998"…The numerical computation of open-channel flows requires preparing and processing larger volumes of boundary and bathymetry data for computer inputs and the development of numerical algorithms for treating complex boundary condition, channel properties, and free surface effects. …"
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masterThesis -
293
Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes
منشور في 2019"…Optimality is guaranteed by accurately identifying the underlying statistical noise characteristics in experimental data. The estimator also quantifies the bias in the release, exhibited by the experimental data. …"
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294
PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits
منشور في 2022"…Therefore, in this study, we find the turning points (i.e., toxicity triggers) making conversations toxic. …"
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295
Anonymizing multimedia documents
منشور في 2016"…We provide a sanitizing MD∗-algorithm to enforce de-linkability along with a utility function to evaluate the utility of multimedia documents that is preserved after the sanitizing process. …"
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296
SemIndex: Semantic-Aware Inverted Index
منشور في 2017"…We provide here a new approach, called SemIndex, that extends the standard inverted index by constructing a tight coupling inverted index graph that combines two main resources: a general purpose semantic network, and a standard inverted index on a collection of textual data. We also provide an extended query model and related processing algorithms with the help of SemIndex. …"
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conferenceObject -
297
Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
منشور في 2015احصل على النص الكامل
doctoralThesis -
298
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299
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
منشور في 2022"…However, existing studies usually utilize future data during the decomposition process and therefore cannot be appropriately employed for real-world applications, due to the inaccessibility of future data. …"
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300
FPGA-Based Network Traffic Classification Using Machine Learning
منشور في 2020"…The performed experiments show that 60% of flow packets are a good compromise that ensures high performance in the least processing time. The results of the conducted experiments indicate that random forest outperforms other algorithms achieving a maximum accuracy of 98.5% and an F-score of 0.932. …"
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article