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1
Fast and Accuracy Control Chart Pattern Recognition using a New cluster-k-Nearest Neighbor
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Citation Index Journal -
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Fast and Accuracy Control Chart Pattern Recognition using a New cluster-k-Nearest Neighbor
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3
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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4
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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5
Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
6
Effective k-Means Clustering in Greedy Prepruned Tree-based Classification for Obstructive Sleep Apnea
Published 2022“…Incorporation of prepruned decision trees to kmeans clustering through one to three types of tree-depth controllers and cluster partitioning was done to develop a combined algorithm named as Greedy Pre-pruned Treebased Clustering (GPrTC) algorithm. …”
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7
Optimizing wireless sensor networks: A survey of clustering strategies and algorithms
Published 2024“…This study serves as a helpful source of knowledge that can encourage the further development of the enhancement of clustering algorithms for WSNs in response to modern technology needs.…”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning
Published 2019“…Other types of the ART-based topological clustering algorithms have been developed, however, these algorithms have various drawbacks such as a large number of parameters, sensitivity to noisy data. …”
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Multi-Hop Selective Constructive Interference Flooding Protocol For Wireless Sensor Networks
Published 2019“…MSCIF integrates three main algorithms: clustering algorithm, selection algorithm, and a synchronized flooding. …”
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Thesis -
13
Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
14
Maximizing Lifetime of Homogeneous Wireless Sensor Network through Energy Efficient Clustering Method
Published 2010“…These server nodes are responsible for transmitting the data from cluster head to the base station. Our proposed algorithm for cluster head selection based on residual energy, distance, reliability and degree of mobility. …”
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15
Penggunaan penggugusan subtraktif bagi menjana peraturan kabur
Published 2005“…By using the fuzzy clustering algorithm, membership function could be counted based on two possible clustering methods. …”
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16
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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Data dissemination in VANETs using clustering and probabilistic forwarding based on adaptive jumping multi-objective firefly optimization
Published 2022“…This developed multi-objective optimization was designated as adaptive jumping multi-objective firefly algorithm (AJ-MOFA). …”
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18
Software module clustering based on the fuzzy adaptive teaching learning based optimization algorithm
Published 2019“…Although showing competitive performances in many real-world optimization problems, Teaching Learning based Optimization Algorithm (TLBO) has been criticized for having poor control on exploration and exploitation. …”
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Abnormalities detection in apert syndrome using hierarchical clustering algorithms
Published 2025“…There are 12 skull angles and these angles are analysed using hierarchical clustering algorithms for identifying the outliers or abnormalities. …”
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