Search Results - (( probable estimation search algorithm ) OR ( weight distribution clustering algorithm ))
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Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
Published 2024“…To address this problem, an investigation was conducted on the ordered weighted model of the FCOM algorithm leading to proposed enhancements by introducing the beta distribution weighted fuzzy C-ordered-means clustering (BDFCOM). …”
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Enhanced weight-based clustering algorithm to provide reliable delivery for VANET safety applications
Published 2019“…In this study, enhanced weight-based clustering algorithm (EWCA) was developed to address these challenges. …”
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Tree-based contrast subspace mining method
Published 2020“…Genetic algorithm has been widely used to find global solution to optimization and search problem. …”
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Web cluster load balancing via genetic-fuzzy based algorithm
Published 2007“…Based on the load-weight index, the genetic-fuzzy algorithm is applied to equally redistribute the workload among in the servers. …”
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Item Tracer
Published 2015“…A positioning algorithm is developed to analyse the behaviour of received signal strength and calculate the probability of the target location. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…These algorithms are inspired by the estimation capability of the well-known Kalman filter estimation method. …”
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Spectrum aware clustering algorithm based on fuzzy logic for sensor based monitoring application / Noorhayati Mohamed Noor …[et al.]
Published 2020“…The cluster heads (CHs) are selected according to the channel availability, residual energy, communication cost and node distribution parameters. …”
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Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm
Published 2025“…After classifying the time set using the canopy with the K-means algorithm and the vector representation weighted by factors, the clustering impact is assessed using purity, precision, recall, and F value. …”
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Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment
Published 2016“…The most important task for any autonomous mobile vehicle is the reliable estimation of its position over time. Visual odometry (VO) is a localization technique that estimates the position of a robot using only the stream of images acquired from a camera. …”
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Web Algorithm search engine based network modelling of Malaria Transmission
Published 2013“…The Hypertext Induced Topical Search (HITS) web search algorithm was adapted to implement a search engine, which uses the bipartite contact network as the input. …”
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Reliability assessment of power generation systems using intelligent search based on disparity theory
Published 2017“…Disparity evolution is used to enhance the performance of the probability of mutation in a genetic algorithm (GA) by incorporating features from the paradigm into the disparity theory. …”
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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…The proposed algorithm is grounded on the two famous metaheuristic algorithms: cuckoo search (CS) and covariance matrix adaptation evolution strategy (CMA-es). …”
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Reliability Assessment of Power Generation Systems Using Intelligent Search Based on Disparity Theory
Published 2017“…Disparity evolution is used to enhance the performance of the probability of mutation in a genetic algorithm (GA) by incorporating features from the paradigm into the disparity theory. …”
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FSM-Gear weight-based energy-efficient protocol for illegal logging monitoring using firefly synchronization
Published 2022“…The effort of low-power algorithm was conducted in several stages, such as (1) randomly distributed localization technique; (2) randomly applied clustering and cluster head selection; (3) the use of Time Division Multiple Access (TDMA) synchronization; and (4) how to formulate the distance factor to the power emitted by sensor nodes not based on the real environment. …”
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Network-aware Gaussian mixture models for multi-objective SD-WAN controller placement
Published 2025“…Three principal contributions distinguish NA-GMM: (1) a hybrid distance metric that integrates geographic distance, network latency, topological cost, and link reliability through adaptive weighting, effectively capturing multi-dimensional network characteristics; (2) a modified expectation–maximization algorithm incorporating node importance-weighting to optimize controller placements for critical network elements; and (3) a robust clustering mechanism that transitions from probabilistic (soft) assignments to definitive (hard) cluster selections, ensuring optimal placement convergence. …”
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New differential cryptanalysis results for the lightweight block cipher BORON
Published 2023Article
