بدائل البحث:
swarm algorithm » search algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
levels using » cells using (توسيع البحث)
element » elements (توسيع البحث)
swarm algorithm » search algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
levels using » cells using (توسيع البحث)
element » elements (توسيع البحث)
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21
Portfolio Selection Problem Using CVaR Risk Measures Equipped with DEA, PSO, and ICA Algorithms
منشور في 2022"…Therefore, in this study we examined this market based on the price index of the automotive group, then optimized a portfolio of automotive companies using two methods. In the first method, the CVaR measurement was modeled by means of DEA, then Particle Swarm Optimization (PSO) and the Imperial Competitive Algorithm (ICA) were used to solve the proposed model. …"
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22
Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study
منشور في 2022"…Maximum Absolute Difference (MAD), a new metric, that calculates the maximum absolute difference between simulated and measured hourly indoor temperatures, Root Mean Square Error (RMSE), Normalized Mean Bias Error (NMBE) were used as the evaluation criteria. Another new metric is introduced, 1 ◦C Percentage Error criterion that calculates the percentage of the number of hours with an error over 1 ◦C during the cali bration period, to select the best solutions from the Pareto Front solutions. 0.5 ◦C Percentage Error criterion is also used for the level of accuracy the model can achieve. …"
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Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
منشور في 2023"…One of the key aspects of WDs with machine learning (ML) algorithms is to find specific data signatures, called Digital biomarkers, that can be used in classification or gaging the extent of the underlying condition. …"
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25
Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
منشور في 2024"…Its purpose was to estimate shear and residual stress levels. Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …"
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26
Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning
منشور في 2024احصل على النص الكامل
doctoralThesis -
27
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28
Optimum Partition of Power Networks Using Singular Value Decomposition and Affinity Propagation
منشور في 2024"…The adopted methodology aims to enhance partitioning efficiency substantially while preserving a high level of partitioning quality. The proposed framework is verified on IEEE 14, 39, 118, and 2000-bus systems and compared to nine other well-known and widely used clustering techniques, including K-Means and Gaussian Mixture models. …"
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Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
منشور في 2025"…This paper proposes a new approach using convolutional neural networks with genetic algorithms for estimating air quality directly from images. …"
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31
Improvement Algorithm for Limited Space Scheduling
منشور في 2001"…The model characterizes resource space requirements over time and establishes a time-space relationship for each activity in the schedule, based on alternative resource levels. An example illustrates the presented algorithm that generates a feasible space schedule.…"
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32
Predicting Plasma Vitamin C Using Machine Learning
منشور في 2022"…<p dir="ltr">Precision Nutrition makes use of personal information about individuals to produce nutritional recommendations that have more utility than general population level recommendations. …"
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33
Decision-level Gait Fusion for Human Identification at a Distance
منشور في 2014احصل على النص الكامل
doctoralThesis -
34
Empirical comparison of regression test selection algorithms
منشور في 2001"…These criteria are: number of selected test cases, execution time, precision, inclusiveness, preprocessing requirements, type of maintenance, level of testing, and type of approach. The empirical results show that the five algorithms can be used for different requirements of regression testing. …"
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35
A genetic algorithm for testable data path synthesis
منشور في 2017"…The approach is formulated as an allocation problem and solved using an efficient genetic algorithm that generates cost-effective testable designs. …"
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conferenceObject -
36
A neural networks algorithm for data path synthesis
منشور في 2003"…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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37
Formal synthesis of VLSI layouts from algorithmic specifications
منشور في 2020"…In this paper we present a formal approach for high level synthesis. This formal high level syntesis system uses recursive algorithms to model the behaviour to be synthesized. …"
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38
A comparative study of five regression testing algorithms
منشور في 1997احصل على النص الكامل
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conferenceObject -
39
Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks
منشور في 2010احصل على النص الكامل
doctoralThesis -
40
Adaptive Chip-Level Channel Estimation for IMT-DS System: DL and UL
منشور في 2005"…In this paper, chip-level adaptive channel estimation has been explored by using LMS algorithm for wideband CDMA channel estimation. …"
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article