Search Results - (( using classification using algorithm ) OR ( using active path algorithm ))
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Comparison between Levenberg-Marquardt and scaled conjugate gradient training algorithms for ionosphere condition using Multilayer Perceptrons / Mohd Sharif Ibrahim
Published 2010“…This paper described the examinations of two training algorithms which are Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG) of Multilayer Perceptrons (MLPs) using MATLAB R2009a. …”
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Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-way Testing
Published 2022“…The purpose of this review is to revisit and carry out up-to-date review on these distinguished algorithms with their respective current state of use. …”
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Fuzzy logic based link status classification for efficient multipath routing in multi-hop wireless mesh networks
Published 2014“…The proposed mechanism classifies the link status as active, about-to-break or broken. On the basis of link status, said algorithm predicts in advance that a particular link, on the active path between sender and receiver, is about to break and helps the reactive multipath routing protocol to start the rerouting operation, thus minimizing the route discovery frequency, delay and packet loss. …”
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A coverage path planning approach for autonomous radiation mapping with a mobile robot
Published 2023Article -
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A Continuous Overlay Path Probing Algorithm For Overlay Networks
Published 2013“…The primary idea is to perform active measurements using the applications’ packets instead of using extra probe packets. …”
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Nonlinear FXLMS algorithm for active noise control systems with saturation nonlinearity
Published 2012“…In active noise control (ANC) applications, the saturation effect of the loudspeaker in the secondary path is considered as the most serious problem that could degrade performance of standard filtered-x least mean square (FXLMS) control algorithm. …”
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An improved algorithm in test case generation from UML activity diagram using activity path
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Path Planning and Control of Mobile Robot in Road Environments using Sensor Fusion and Active Force Control
Published 2018“…The sensor fusion algorithm is used to remove noises and uncertainties from sensors' data and provide optimum measurements for path planning. …”
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Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity
Published 2014“…The proposed THF-NLFXLMS algorithm models the Wiener secondary path and applies the estimated degree of nonlinearity of the nonlinear secondary path in the control algorithm design. …”
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All-pass filtered x least mean square algorithm for narrowband active noise control
Published 2018“…Most available ANC uses the secondary path modelling including filtered x least mean square (FxLMS) algorithm. …”
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An application of Floyd-Warshall Algortihm in finding shortest path of order picker in warehouse / Saidatul Aisyah Roslan, Siti Norhakimah Mohd Yatim and Siti Sarah Sulaiman
Published 2019“…For the result, shortest path for the order pickers in iterations. The algorithm used can help the order picker to have the shortest path, but it have no direct path. …”
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Optimum Time-Cost Trade-Off Strategies on Critical Path Method for Project Management
Published 2010“…When critical activity is stretched and the shortest possible of project completion is extended, other paths may also become noncritical, therefore, the noncritical activities can be stretched again until all the slack in the different noncritical paths is used up. …”
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Dengue classification system using clonal selection algorithm / Karimah Mohd
Published 2012“…This project can be improved by making a comparative study on Artificial Immune System and other techniques or algorithms used to solve dengue classification problems.…”
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…The comparison showed that, the accuracy of the unsupervised classification map with value of 88.4% that was generated by using the cluster labelling algorithm was slightly more than the maximum-likelihood supervised classification map with value of 87.5%. …”
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ABC: android botnet classification using feature selection and classification algorithms
Published 2017“…The Information Gain algorithm is used to select the most significant permissions, then the classification algorithms Naïve Bayes, Random Forest and J48 used to classify the Android apps as botnet or benign apps. …”
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An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani
Published 2015“…The urban growth images obtained are analysed to improve existing classification algorithms. The improved algorithm is constructed by adding new parameter and classification rule to existing algorithm. …”
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