بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
system » systems (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
system » systems (توسيع البحث)
element » elements (توسيع البحث)
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361
Mobile Robot Trajectory Tracking Using Neural Networks
منشور في 2009احصل على النص الكامل
doctoralThesis -
362
Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning
منشور في 2025"…This article provides an updated review of the cutting-edge machine learning and data-driven techniques used for PGP in networked PSs. …"
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363
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364
Assessment of static pile design methods and non-linear analysis of pile driving
منشور في 2006"…The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
365
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366
A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
منشور في 2022"…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …"
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367
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368
Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
منشور في 2022"…The proposed system simulation is carried out using the MATLAB/Simulink-2021a® software. …"
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369
Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks
منشور في 2021"…Our simulation results show that the distributed DDPG-based algorithm learns to adapt against changes in the channel or user requirements, while centralized Genetic Algorithm and Particle Swarm Optimization-based algorithms fail to endure against these changes even with coordination between APs. …"
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370
Optimising Nurse–Patient Assignments: The Impact of Machine Learning Model on Care Dynamics—Discursive Paper
منشور في 2025"…Future research should focus on refining algorithms, ensuring real‐time adaptability, addressing ethical considerations, evaluating long‐term patient outcomes, fostering cooperative systems, and integrating relevant data and policies within the healthcare framework.…"
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371
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372
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373
A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
منشور في 2010"…In this paper, we present a genetic algorithm that adapts such models to new data. We give empirical evidence illustrating that our approach out-beats the machine learning algorithm C4.5 and random guess.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
374
Evolutionary algorithms for state justification in sequential automatic test pattern generation
منشور في 2005"…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
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article -
375
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376
Convergence and steady-state analysis of the normalized least mean fourth algorithm
منشور في 2007"…Simulation results obtained in a system identification scenario confirms the theoretical predictions on performance of the NLMF algorithm.…"
article -
377
Convergence and steady-state analysis of the normalized least mean fourth algorithm
منشور في 2007"…Simulation results obtained in a system identification scenario confirms the theoretical predictions on performance of the NLMF algorithm.…"
احصل على النص الكامل
article -
378
Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
منشور في 2006"…This study uses the above facility in developing algorithms for digitally determining the basic pulse parameters and tackling the problem of pulse pile-up in Gamma-ray spectroscopy. …"
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احصل على النص الكامل
article -
379
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380
Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
منشور في 2025"…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …"