بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
involves » involved (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
involves » involved (توسيع البحث)
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361
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 -
362
Face Flow: Constrained Optical Flow Framework for Faces
منشور في 2020احصل على النص الكامل
doctoralThesis -
363
Computation of conformal invariants
منشور في 2021"…We compare the performance and accuracy to previous results in the cases when numerical data is available and also in the case of several model problems where exact results are available.…"
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364
On sensor selection in mobile devices based on energy, application accuracy, and context metrics
منشور في 2013"…We use this algorithm to build a sensor selection model to choose among location sensors. …"
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conferenceObject -
365
Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique
منشور في 2006"…An artificial neural-network model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the two-layered feedforward back-propagation algorithm as a learning rule is developed. …"
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article -
366
Soft Sensor for NOx Emission using Dynamical Neural Network
منشور في 2020"…Neural network model is trained using real data logs of an industrial boiler. …"
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article -
367
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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368
Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying
منشور في 2023"…Many efforts have been deployed by the IR community to extend freetext query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. …"
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article -
369
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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370
Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review
منشور في 2022"…Accuracy was the most commonly used metric for evaluating the performance of AI models.</p><h3>Conclusions</h3><p dir="ltr">The last decade witnessed an increase in the development of AI-driven serious games for health care purposes, targeting various health conditions, and leveraging multiple AI algorithms; this rising trend is expected to continue for years to come. …"
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371
Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach
منشور في 2024احصل على النص الكامل
doctoralThesis -
372
Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
منشور في 2023"…The data needs to be initially prepared so that deep learning algorithms may be trained on it before cyberbullying analysis can be done. …"
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373
DASSI: differential architecture search for splice identification from DNA sequences
منشور في 2022"…<h2>Background</h2> <p>The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging the conventional methods used in the interpretation of the human genome. …"
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374
Topology and parameter estimation in power systems through inverter-based broadband stimulations
منشور في 2015"…This study describes a method for identifying parameters associated with the power system model. In particular, the proposed algorithm in this study addresses the line parameter and topology identification task in the scope of state estimation. …"
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article -
375
Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
منشور في 2020"…A model is proposed to identify the parameters of a class of stochastic nonlinearsystems. …"
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article -
376
Parallel processing
منشور في 2005"…Parallel algorithms, based on simulated annealing, neural networks and genetic algorithms, for mapping irregular data to multicomputers are presented and compared. …"
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conferenceObject -
377
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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article -
378
A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security
منشور في 2023"…Therefore, the proposed work intends to implement a group of novel methodologies for developing an effective Cyborg intelligence security model to secure smart city systems. Here, the Quantized Identical Data Imputation (QIDI) mechanism is implemented at first for data preprocessing and normalization. …"
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379
Combinatorial method for bandwidth selection in wind speed kernel density estimation
منشور في 2019"…This goal calls for devising probabilistic models with adaptive algorithms that accurately fit wind speed distributions. …"
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380
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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