Search Results - (( developing sample _ algorithm ) OR ( java application optimisation algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Statistical Based Real-Time Selective Herbicide Weed Classifier
Published 2007“…The algorithm developed in this paper has improved efficiency.…”
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Algorithm for the legal regulation of internet financial crime
Published 2024“…Similarly, association rules showed a strong correlation between the test and experimental samples, further validating the predictive capabilities of the algorithms. …”
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Application of sampling-based motion planning algorithms in autonomous vehicle navigation
Published 2016“…In this chapter, a novel sampling-based navigation architecture is introduced, which employs the optimal properties of RRT* planner and the low running time property of low-dispersion sampling-based algorithms. …”
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Book Section -
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Development of algorithm of time and space domain for chlorophyll-a (Chl-a) and total suspended sediment (TSS) at Teluk Lipat Terengganu Coastline / Fathinul Najib Ahmad Sa’ad
Published 2023“…However, the developed algorithms are highly regional dependence. …”
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Thesis -
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Eye Diagram Modeling Of High-Speed Channels Using Artificial Neural Networks With An Improved Adaptive Sampling Algorithm
Published 2019“…This reduces the number of training samples by 16.1%, validation samples by 14.7% and neural model development time by 23%. …”
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster labelling process, a cluster labelling algorithm based on calculation of minimum-distance (MD) between cluster mean and class mean was developed to label the clusters. …”
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Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
Published 2017“…A superior performance is achieved by the proposed algorithms in system modeling where the DQLMS was able to track the correct weights values of the different modeled systems 430 sample faster than the QLMS and ZA-QLMS algorithms while the WL-DQLMS was faster than the WLQLMS algorithm by 950 samples. …”
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Development of automatic pest sampling and detection system for cash crops
Published 2019“…Therefore, the primary objective of this research is the design and development of a prototype for an automatic Pest Sampling and Detection (PSD) system for cash crops (maize, okra, pineapple, and chili). …”
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Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan
Published 2013“…Backpropagation is used as the learning method of ANN model. The algorithm will be developed in MATLAB. The objective of this project is to develop ANN model for ISFET sensor that able to estimate the main ion in mixed solution by learning the pattern of the input and output of the sensor. …”
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Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli
Published 2013“…Backpropagation is used as the learning method of ANN model. The algorithm will be developed in MATLAB. The objective of this project is to develop ANN model for ISFET sensor that able to estimate the main ion in mixed solution by learning the pattern of the input and output of the sensor. …”
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Interferometric array planning using division algorithm for radio astronomy applications
Published 2017“…Finally, the algorithm is able to reduce SLL to -25.23 dB. The third method develops a new algorithm named Division Algorithm (DA) to solve the optimization problems. …”
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Clustering ensemble learning method based on incremental genetic algorithms
Published 2012“…So far, limited genetic-based clustering ensemble algorithms have been developed. However, their clustering accuracy and convergence to group unlabeled samples are not still satisfied. …”
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An algorithm for the ambulatory monitoring of fetal heart rate
Published 2000“…A real-time algorithm has been developed for the simultaneous measurement of the fetal and maternal heart rates from the abdominal signal, which was sampled with 13-bit resolution at 500 Hz. …”
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