Search Results - (( solution implementation clustering algorithm ) OR ( java adaptation optimization algorithm ))
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1
A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…Meta-heuristic algorithm has been successfully implemented on data clustering problems seeking a near optimal solution in terms of quality of the resultant clusters. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Improving on the network lifetime of clustered-based wireless sensor network using modified leach algorithm
Published 2012“…Meanwhile in LEACH, the cluster head selection was based on distributed algorithm. …”
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4
Solving traveling salesman problem on cluster compute nodes
Published 2009“…In this paper, we present a parallel implementation of a solution for the Traveling Salesman Problem (TSP). …”
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5
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…In general, genetic based clustering algorithms showed the ability to reach near global optimal solution. …”
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6
Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm
Published 2025“…The hybrid algorithm was implemented to minimise the length of time needed to address the massive scale of the detected parallel power load abnormalities. …”
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Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions
Published 2025“…Many clustered routing algorithms have been developed to address various issues like energy efficiency, network lifetime, and hotspot problems. …”
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Quantification and segmentation of breast cancer diagnosis: efficient hardware accelerator approach
Published 2022“…There is no solution on the market, and it is necessary to implement communication protocols between devices. …”
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9
A survey of state of the art: hierarchical routing algorithms for wireless sensor networks
Published 2014“…In this article, we will present a review for the state of the art for recent hierarchical algorithms. Moreover, we will use criteria to classify the hierarchical algorithms that never used before in any article, which is the mechanism that implemented in the hierarchical algorithm such as clustering, chaining, or hybrid between cluster and chain.…”
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10
Cooperative heterogeneous vehicular clustering for road traffic management / Iftikhar Ahmad
Published 2019“…A clustering solution is ineffective if instability is not addressed properly. …”
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11
Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…For this kind of problem, researchers believe that it will be better to find an approximate solution that can be delivered by a stochastic algorithm than waiting for an exact solution from the deterministic algorithm. …”
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12
Trajectory pattern mining via clustering based on similarity function for transportation surveillance
Published 2016“…In this paper, the analysis of the implemented clustering algorithm on the trajectory data with similarity function is presented. …”
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13
Benchmarking Framework for Performance in Load Balancing Single System Image
Published 2009“…Single System Image, as a distributed operating system for nodes in computer clusters has become a widely adopted clustering solution due to its complete transparency of the resource management and ease of use. …”
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14
A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…K-Means algorithm a popular efficient clustering techniques and genetic algorithm a widely used evolutionary algorithm and known for its adaptive nature were combined to determine the level of handwriting legibility for each child. …”
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15
Blockchain based security framework for device authentication and data communication in decentralized IoT network
Published 2023“…First, this thesis proposes a clustering algorithm for IoT devices based on the device energy residues, the device location relative to other devices in the network, and the device computational ability. …”
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16
Application of parallel ensemble Monte Carlo technique in charge dynamics simulation
Published 2008“…This is done using a computer cluster network in a master-slave model. This paper report the development of a LINUX cluster for the purpose of implementing parallel ensemble Monte Carlo modelling for solid states device. …”
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17
Hybrid metaheuristic method for clustering in wireless sensor networks / Bryan Raj Peter Jabaraj
Published 2023“…Moreover, two improvised clustering techniques are introduced to reduce the energy overhead cost from the re-clustering process. …”
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18
A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…The research starts with developing the hybrid deep learning model consisting of DNN and a K-Means Clustering Algorithm. Then, the developed algorithm is implemented to estimate the parameters of the Lorenz system. …”
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19
An ensemble of neural network and modified grey wolf optimizer for stock prediction
Published 2019“…The research implements stock prediction analysis as a case study for training the neural network by adopting MGWO algorithm. …”
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20
Application of parallel ensemble Monte Carlo technique in charge dynamics simulation
Published 2008“…This is done using a computer cluster network in a master-slave model. In this paper we report the development of a LINUX cluster for the purpose of implementing parallel ensemble Monte Carlo modelling for solid states device. …”
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