Search Results - (( developing spanning _ algorithm ) OR ( java implication based algorithm ))
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Outlier detection in circular regression model using minimum spanning tree method
Published 2019“…Therefore, this study aims to develop new algorithms that can detect outliers by using the minimum spanning tree method. …”
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Wireless sensor nodes deployment using multi-robot based on improved spanning tree algorithm
Published 2015“…Developing an exploration algorithm based on spanning tree is the main contribution. …”
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Efficient terrain coverage for deploying wireless sensor nodes on multi-robot system
Published 2016“…Developing an exploration algorithm based on spanning tree is the main contribution and this exploration algorithm is performing fast localization of sensor nodes in energy efficient manner. …”
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Article -
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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Robust automatic multi-camera viewpoint stabilization using Harris laplace corner detection and spanning tree
Published 2018“…In this paper, an algorithm to improve image stabilization process in 3D for multiple camera viewpoints from different angle is developed. …”
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Proceeding Paper -
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Diesel Engine Control And In-Cylinder Peak Pressure Monitoring System Using Raspberry PI
Published 2019“…A simple closed loop algorithm is developed to control the start of injection timing (SOI) of a single cylinder diesel engine using the ECU. …”
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Monograph -
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Outlier detection in circular regression model using minimum spanning tree method
Published 2019“…Therefore, this study aims to develop new algorithms that can detect outliers by using minimum spanning tree method. …”
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Deploying clustered wireless sensor network by multi-robot system
Published 2014“…For analyzing the algorithm using multi-robot a simulation test bed is developed with a parameterized environment with obstacle. …”
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Fuzzy based technique for microchip lead inspection using machine vision
Published 2008“…This research develops a fuzzy based algorithm for microchip image lead Inspection. …”
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Proceeding Paper -
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Implication of image processing algorithm in remote sensing and GIS applications
Published 2011“…One problem can be solved in more than one way; in this regards many alternative algorithms are developed with computational proficiency. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Methodology to develop bottleneck-based heuristic for permutation flow shop scheduling
Published 2020“…To date, the Nawaz-Enscore-Ham (NEH) algorithm is still recognized as the best heuristic in solving make span problem in scheduling environment. …”
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Book Section -
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Determination of order delivery time in event organizer industry using a non-delay scheduling approach / Nur Indrianti and Vina Islamia Vervly Suandevin
Published 2020“…The non-delay schedule is compiled using the non-delay algorithm with the criteria for make span minimization. …”
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Quantum Processing Framework And Hybrid Algorithms For Routing Problems
Published 2010“…Another quantum algorithm for a minimum weight spanning tree in the graph was also designed. …”
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Efficient 3D stereo vision stabilization for multi-camera viewpoints
Published 2019“…In this paper, an algorithm is developed in 3D Stereo vision to improve image stabilization process for multi-camera viewpoints. …”
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An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection
Published 2022“…Thus, a 5G-MIMO based CR communication system has been developed to enhance the spectrum by employing a spectrum sensing (SS) algorithm. …”
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A quick gbest guided artificial bee colony algorithm for stock market prices prediction
Published 2018“…The proposed approach is based mainly on SSM historical data covering a large span of time. From the simulation findings, the proposed QGGABC-FFNN outperformed compared with other typical computational algorithms for prediction of SSM values.…”
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