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sampling algorithm » scheduling algorithm (Expand Search)
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sampling algorithm » scheduling algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
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41
An enhanced quorum selection algorithm
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42
An Improved Quorum Selection Algorithm
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43
Current trends and future orientation in diagnosing lung pathologies: A systematic survey
Published 2025“…This study examined the current state-of-the-art methods and offers a comprehensive analysis of their advantages and disadvantages from an engineering perspective. …”
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44
Oversampling techniques for imbalanced data in regression
Published 2024“…We adapt K-Nearest Neighbor Oversampling-Regression (KNNOR-Reg), originally for imbalanced classification, to address imbalanced regression in low population datasets, evolving to KNNOR-Deep Regression (KNNOR-DeepReg) for high-population datasets. For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …”
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45
Robust Control Of Sampled Data Systems
Published 2020“…The authors present robust stability bounds for sampled data systems. …”
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46
Robust control of sampled data systems
Published 1998“…The authors present robust stability bounds for sampled data systems. …”
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47
Robust Control Of Sampled Data Systems
Published 2020“…The authors present robust stability bounds for sampled data systems. …”
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48
Robust Control Of Sampled Data Systems
Published 2020“…The authors present robust stability bounds for sampled data systems. …”
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50
Data Redundancy Management in Connected Environments
Published 2020“…., building) equipped with sensors that produce and exchange raw data. Although the sensed data is considered to contain useful and valuable information, yet it might include various inconsistencies such as data redundancies, anomalies, and missing values. …”
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51
Unsupervised outlier detection in multidimensional data
Published 2022“…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. …”
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52
Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population
Published 2024“…Each patient provided a saliva sample. DNA was extracted, purified and genotyped for <i>VKORC−1639 G>A, CYP2C9*2, CYP2C9*3 </i>and<i> CYP4F2*3</i>. …”
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Graph Contraction for Mapping Data on Parallel Computers
Published 1994“…The mapping solution for the original problem is obtained by a straightforward interpolation. We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, genetic algorithm and simulated annealing. …”
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55
Mapping realistic data sets on parallel computers
Published 1993“…The authors propose reducing the problem size by a mapping-oriented graph contraction technique. They present a graph contraction (GC) heuristic algorithm that yields a smaller representation of the problem, to which mapping is then applied. …”
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56
Scatter Search algorithm for Protein Structure Prediction
Published 2016“…In this paper, we present a Scatter Search (SS) algorithm for predicting 3D structures of proteins based on torsion angles representation. …”
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57
Parallel genetic algorithm for disease-gene association
Published 2011“…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. …”
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58
A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM
Published 2020“…In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. The problem is known to have local minimum solutions which are usually what the K-means algorithm obtains. …”
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59
Particle swarm optimization algorithm: review and applications
Published 2024“…The main procedure of the PSO algorithm is presented. Future researchers can use the collected data in this survey as baseline information on the PSO and PSO's applications.…”
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NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM
Published 2020“…Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. …”
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