بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element based » event based (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element based » event based (توسيع البحث)
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261
Evacuation of a highly congested urban city
منشور في 2017"…As the evacuation route planning is computationally challenging, an evacuation scheduling algorithm was adopted to expedite the solution process. …"
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conferenceObject -
262
A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem
منشور في 2008"…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …"
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article -
263
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
منشور في 2022"…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …"
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264
Shuffled Linear Regression with Erroneous Observations
منشور في 2019"…Existing methods are either applicable only to data with limited observation errors, work only for partially shuffled data, sensitive to initialization, and/or work only with small dimensions. …"
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conferenceObject -
265
An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System
منشور في 2019"…Therefore, for this paper multiple machine learning algorithms are investigated to predict system failure based on vehicle trips information as well as maintenance management historical data including preventive maintenance and corrective maintenance. …"
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266
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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267
Regression testing C# programs. (c2007)
منشور في 2007احصل على النص الكامل
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masterThesis -
268
Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
منشور في 2022"…</p> <h2>Conclusion</h2> <p> Genetic algorithms can be used along with finite element analysis and zigzag cutouts to tune the band gap of plates subjected to base-excitations. …"
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269
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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conferenceObject -
270
Identity and Aggregate Signature-Based Authentication Protocol for IoD Deployment Military Drone
منشور في 2021"…This risk is specifically eminent in monitoring data transmission traffic, espionage, troop movement, border surveillance, searching, and warfare battlefield phenomenon, etc. …"
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271
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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masterThesis -
272
A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer
منشور في 2019"…Second, the pre- and post-processed images were encrypted with a new encryption algorithm in the microcomputer environment. …"
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273
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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274
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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article -
275
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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276
Improving Rule Set Based Software Quality Prediction
منشور في 2003احصل على النص الكامل
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article -
277
Efficient unified Montgomery inversion with multi-bit shifting
منشور في 2005"…Since the existing algorithms based on the extended Euclidean algorithm do not permit a fast software implementation, projective co-ordinates, which eliminate almost all of the inversion operations from the curve arithmetic, are preferred. …"
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article -
278
Multidimensional Gains for Stochastic Approximation
منشور في 2019"…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …"
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article -
279
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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280
A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass
منشور في 2025"…By synthesizing findings across various data sources and model architectures, we offer critical insights into the selection of context-aware algorithms and identify key research gaps, an essential step for advancing the reliability and applicability of AI-driven seagrass conservation efforts.…"