بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
per algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث), search algorithm (توسيع البحث)
elementi » elements (توسيع البحث), element (توسيع البحث), elemental (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
per algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث), search algorithm (توسيع البحث)
elementi » elements (توسيع البحث), element (توسيع البحث), elemental (توسيع البحث)
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261
High-order parametrization of the hypergeometric-Meijer approximants
منشور في 2023"…<p>In this work, we introduce an extension to the hypergeometric algorithm we developed before for the resummation of divergent series.The extension overcome the time-consuming problem we face in the parametrization process of the hypergeometric approximants. …"
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262
A Navigation System for Indoor/Outdoor Environments with an Unmanned Ground Vehicle (UGV)
منشور في 2015احصل على النص الكامل
doctoralThesis -
263
Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT)
منشور في 2015"…Decision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. …"
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احصل على النص الكامل
conferenceObject -
264
Deep Reinforcement Learning for Resource Constrained HLS Scheduling
منشور في 2022"…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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احصل على النص الكامل
masterThesis -
265
Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying
منشور في 2023"…The semantically augmented XML data tree is processed for structural node clustering, based on semantic query concepts (i.e., key-concepts), in order to identify and rank candidate answer sub-trees containing related occurrences of query key-concepts. …"
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احصل على النص الكامل
article -
266
The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review
منشور في 2022"…The study selection process was carried out in three phases: study identification, study selection, and data extraction. …"
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267
Topology and parameter estimation in power systems through inverter-based broadband stimulations
منشور في 2015"…Broadband stimulation signals are injected from distributed generators and their effects are measured at various locations in the grid. To process and evaluate this data, a novel aggregation method based on weighed least squares will be proposed in this study. …"
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احصل على النص الكامل
article -
268
Benchmark on a large cohort for sleep-wake classification with machine learning techniques
منشور في 2019"…However, the largest experiments conducted to date, have had only hundreds of participants. In this work, we processed the data of the recently published Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study to have both PSG and actigraphy data synchronized. …"
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269
Improving Rule Set Based Software Quality Prediction
منشور في 2003احصل على النص الكامل
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article -
270
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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271
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 -
272
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273
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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274
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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275
From Collatz Conjecture to chaos and hash function
منشور في 2023"…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …"
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276
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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article -
277
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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278
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 -
279
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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article -
280
Anomaly Detection Based Framework for Profile Monitoring
منشور في 2023احصل على النص الكامل
doctoralThesis