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tests clustering » data clustering (Expand Search)
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tests clustering » data clustering (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
means algorithm » search algorithm (Expand Search)
element » elements (Expand Search)
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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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Computational Experience On Four Algorithms For The Hard Clustering Problem
Published 2020“…We test these algorithms on several clustering problems from the literature as well as several random problems and we report on our computational experience.…”
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A static test compaction technique for combinational circuits based on independent fault clustering
Published 2003“…The algorithm is referred to as independent fault clustering. …”
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Efficient Test Compaction for Combinational Circuits Based on Fault Detection Count-Directed Clustering
Published 2006“…In this paper, we present a new static test compaction algorithm based on test vector decomposition and clustering. …”
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A hybrid distributed test generation method using deterministic and genetic algorithms
Published 2017“…The algorithm is parallelized based on a cluster of workstations using the message passing interface (MPI) library. …”
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CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022Get full text
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Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
Published 2022“…Moreover, eight data clustering problems taken from the UCI repository were tested to verify the proposed method’s performance further. …”
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The Use of Microwave Tomography in Bone Healing Monitoring
Published 2019Get full text
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A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
Published 2023“…The proposed method, existing weighted clustering algorithm (WCA), and agent-based secure enhanced performance approach (AB-SEP) are tested over the network dataset. …”
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Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
Published 2022“…The effectiveness of these optimization algorithms is verified in terms of training, test, validation, and error analysis. …”
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Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars
Published 2023“…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…”
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Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
Published 2021“…A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …”
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Clustering Tweets to Discover Trending Topics about دبي (Dubai)
Published 2018“…After this, log results into k- mean clustering algorithm with cosine similarity to measure similarity between objects of each cluster. …”
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Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
Published 2023“…In the predicted model, an analytical framework is created to operate the robot within predetermined areas while maximizing communication ranges. Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. …”
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