بدائل البحث:
custom algorithm » control algorithm (توسيع البحث), auction algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
means algorithm » search algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
custom algorithm » control algorithm (توسيع البحث), auction algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
means algorithm » search algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
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241
Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024"…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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242
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243
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244
Reinforcement R-learning model for time scheduling of on-demand fog placement
منشور في 2020"…Experiments comparing the decisions of our model with two other potential fog placement approaches used for task/service scheduling (threshold based and random based) show that the number of processed requests performed by the cloud decreases from 100 to 30% with a limited number of fogs to push. …"
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article -
245
Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
منشور في 2017احصل على النص الكامل
doctoralThesis -
246
Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques
منشور في 2022"…This paper covered the most resent and important researchers in the domain of renewable problems using the learning-based methods. Various types of Deep Learning (DL) and Machine Learning (ML) algorithms employed in Solar and Wind energy supplies are given. …"
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247
Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions
منشور في 2023"…<p dir="ltr">The integration of large language models (LLMs), such as those in the Generative Pre-trained Transformers (GPT) series, into medical education has the potential to transform learning experiences for students and elevate their knowledge, skills, and competence. …"
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248
Large language models for code completion: A systematic literature review
منشور في 2024"…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. While several research papers have focused on the use of LLMs for code completion, these studies are fragmented, and there is no systematic overview of the use of LLMs for code completion. …"
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249
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250
Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
منشور في 2011احصل على النص الكامل
doctoralThesis -
251
Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
منشور في 2018احصل على النص الكامل
doctoralThesis -
252
Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant
منشور في 2007"…By using the minimum covariance determinant (MCD), we identify and delete the outliers, and then apply the classical EIV subspace system identification algorithms to get state space models. …"
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253
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254
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255
Digital Image Watermarking Using Balanced Multiwavelets
منشور في 2006"…In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. …"
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256
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257
An Extension Of Rahim And Banerjee'S Model For A Process With Upper And Lower Specification Limits
منشور في 2020"…We use Hooke and Jeeves search algorithm to optimize the model, and provide a numerical example.…"
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258
Auto-indexing Arabic texts based on association rule data mining. (c2015)
منشور في 2015"…The model uses the Apriori Algorithm - an association rule algorithm for extracting frequent sets containing related items - to extract relations between words in the texts to be indexed with words from texts that belong to the same category. …"
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masterThesis -
259
A hybrid model for the optimum integration of renewable technologies in power generation systems
منشور في 2011"…The main purpose of this work is to assess the unavoidable increase in the cost of electricity of a generation system by the integration of the necessary renewable energy sources for power generation (RES-E) technologies in order for the European Union Member States to achieve their national RES energy target. The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. …"
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260