Search Results - (( _ realization bat algorithm ) OR ( data distribution ((graph algorithm) OR (path algorithm)) ))*
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A Study of Visual Attention in Diagnosing Cerebellar Tumours
Published 2009“…The status of each MRS is verified by using decision algorithm. Analysis involves determination of humans’s eye movement pattern in measuring the peak of spectrograms, scan path and determining the relationship of distributions of fixation durations with the accuracy of measurement. …”
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Nano-scale VLSI clock routing module based on useful-skew tree algorithm
Published 2006“…This way, the computation result of proposed synthesis module can generate a clock signal distribution routing path with minimum wire length and, ensures the reliability of data synchronization for nano-scale VLSI design.…”
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3
Boolean routing on high degree chordal ring networks
Published 2001“…All compact routing techniques minimise time and space complexity. A good routing algorithm optimises the time and space complexity and a routing algorithm that has O(1) time complexity and O(log n) space complexity for high degree chordal ring has been found. …”
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4
Optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam)
Published 2022“…The current research in robot navigation is to implement an obstacle avoidance algorithm to a single mobile robot to realize the path planning of a mobile robot. …”
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Undergraduates Project Papers -
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A Continuous Overlay Path Probing Algorithm For Overlay Networks
Published 2013“…Several experiments were carried out using the OMNeT++ simulation framework. The designed algorithm was evaluated using experimental data. The obtained results show that the continuous in-band overlay path probing algorithm (COPPA) provides up-to-date bandwidth information with reduced overhead and minimal impact on the traffic of the path.…”
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Performance analysis of ZigBeePRO network using shortest path algorithm for Distributed Renewable Generation
Published 2021“…In this paper, we have analysed the performance of the ZigBeePRO network by applying the shortest path algorithm while delivering energy data from the solar DRG to the SG. …”
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Keyword query processing interface model of ontological natural language manipulation
Published 2010“…We used the shortest path algorithms to be called on certain resources to explore connectivity to reduce complexity of search. …”
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8
Performance Analysis of Swarm Intelligence-Based Routing Protocol for Mobile Ad Hoc Network and Wireless Mesh Networks
Published 2009“…Ants’ algorithm belongs to the Swarm Intelligence (SI), which is proposed to find the shortest path. …”
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9
Random sampling method of large-scale graph data classification
Published 2024“…After that, we randomly select a subset of data blocks, each being a random sample of the graph dataset, and compute the different graph property distributions. …”
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Towards enhancing power system protection in distribution systems with distributed generation: a graph theory-based systematic relay placement approach
Published 2024“…The algorithm is implemented in MATLAB, utilizing data from Dig Silent power Factory. …”
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Traffic management algorithms for LEO satellite networks
Published 2016“…In dealing with traffic routing problem, two algorithms, Dijkstra's Shortest Path and Genetic Algorithm (GA) are combined together and enhanced to re-strategize a better routing mechanism for a heterogeneous mix of traffic classes ranging from traditional voice calls to multimedia data services in Low Earth Orbit (LEO) satellite networks. …”
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Resource-efficient coverage path planning for unmanned aerial vehicle based aerial gateway in LoRaWAN
Published 2022“…Due to finite resource, multiple issues need to be considered in designing such system, including AG flight time, coverage radius and the achievable data rate of the ground-to-air system, thus an Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. …”
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Thesis -
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Graph theory-based radial load flow analysis to solve the dynamic network reconfiguration problem
Published 2016“…The proposed algorithm will help in arranging line data for any combination of tie switch positions, to check the radiality of the system and to ensure that all nodes are connected with the source node. …”
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Synchronization algorithm for remote heterogeneous database environment
Published 2015“…In this paper, we proposed a model and a unique algorithm to synchronize data between heterogeneous databases, in order to provide alternative synchronization paths, concurrency in operation and bidirectional mode of data exchange. …”
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A novel state space reduction algorithm for team formation in social networks
Published 2021“…Previously, large datasets were not closely inspected for the large-scale distributions & relationships among the researchers, resulting in the algorithms failing to scale well on the data. …”
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A Divide-and-Distribute Approach to Single-Cycle Learning HGN Network for Pattern Recognition
Published 2010“…Distributed Hierarchical Graph Neuron (DHGN) is a single-cycle learning distributed pattern recognition algorithm, which reduces the computational complexity of existing pattern recognition algorithms by distributing the recognition process into smaller clusters. …”
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Conference or Workshop Item -
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Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway
Published 2023“…The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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An enhancement of path selection to cluster head based on multi-hop routing in two-tier wireless sensor network
Published 2019“…Currently, the data transmission from sensor nodes to the cluster head uses a single hop which consumes more energy; thus, in this paper the enhancement of previous algorithm, which is MAP, the data transmission will use several paths to reach the cluster head. …”
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Mixture model of the Exponential, Gamma and Weibull distributions to analyse heterogeneous survival data
Published 2015“…Aims: In this study a survival mixture model of three components is considered to analyse survival data of heterogeneous nature.The survival mixture model is of the Exponential, Gamma and Weibull distributions.Methodology: The proposed model was investigated and the Maximum Likelihood (ML) estimators of the parameters of the model were evaluated by the application of the Expectation Maximization Algorithm (EM).Graphs, log likelihood (LL) and the Akaike Information Criterion (AIC) were used to compare the proposed model with the pure classical parametric survival models corresponding to each component using real survival data.The model was compared with the survival mixture models corresponding to each component.Results: The graphs, LL and AIC values showed that the proposed model fits the real data better than the pure classical survival models corresponding to each component.Also the proposed model fits the real data better than the survival mixture models corresponding to each component. …”
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