بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
fusion algorithm » auction algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
fusion algorithm » auction algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
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241
Approximate XML structure validation based on document–grammar tree similarity
منشور في 2015"…In this paper, we propose an original method for measuring the structural similarity between an XML document and an XML grammar (DTD or XSD), considering their most common operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes (e.g., ?…"
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article -
242
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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243
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 -
244
Corona power loss computation in bundled bipolar conductors
منشور في 2000"…In this paper, a finite element (FE) based algorithm devoted for the computation of the corona current and hence the corona power loss associated with bundled bipolar high voltage direct current (HVDC) conductors is presented. …"
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article -
245
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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246
Approximate XML structure validation technical report
منشور في 2014"…In this paper, we propose an original method for measuring the structural similarity between an XML document and an XML grammar (DTD or XSD), considering their most common operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes (e.g., ?…"
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article -
247
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 -
248
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 -
249
Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants
منشور في 2006"…The U-model is utilized to design an adaptive inverse controller by using a simple root-solving algorithm of Newton-Raphson. The synergy of U-model with AIC structure has provided an effective and straight forward method for adaptive tracking of nonlinear plants. …"
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article -
250
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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251
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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252
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 -
253
A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study
منشور في 2022"…Further, As the quality of received signals differs at different sensing points as a result of the surface conditions of the specimen, the Self Adaptive Smart Algorithm (SASA) method was adopted to filter out the noise and accurately pinpoint the defect reflected wave packet which ultimately aids in better detection and localization. …"
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254
The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions
منشور في 2022"…To this end, we carefully identify the types of DRL algorithms utilized in each related work, the elements of these algorithms, and the main findings of each related work. …"
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255
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 -
256
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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257
Improving Rule Set Based Software Quality Prediction
منشور في 2003احصل على النص الكامل
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article -
258
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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259
Simulations of the penetration of 6061-T6511 aluminum targets by spherical-nosed VAR 4340 steel projectiles
منشور في 2000"…In the context of an analysis code, this approximation eliminates the need for discretizing the target as well as the need for a contact algorithm. Thus, this method substantially reduces the computer time and memory requirements. …"
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260
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.…"