Search Results - (( developing spatial matrix algorithm ) OR ( java application optimisation algorithm ))
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1
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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Gray Level Co-Occurrence Matrix (GLCM) and Gabor Features Based No-Reference Image Quality Assessment for Wood Images
Published 2021“…Therefore, a Gray Level Co- Occurrence Matrix (GLCM) and Gabor features-based NR-IQA, GGNR-IQA algorithm is proposed to evaluate the quality of wood images. …”
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Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia
Published 2019“…Therefore, this paper introduced an algorithm for predicting spatial variations in pore network. …”
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Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia
Published 2019“…Therefore, this paper introduced an algorithm for predicting spatial variations in pore network. …”
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A spatial decision support system framework for optimization of cropping pattern and water resources allocation at pasargard plains, fars province, Iran
Published 2014“…A unit response matrix groundwater model was coupled with a modified version of Genetic Algorithm (GA) in order to optimize cropping patterns and water allocation decisions. …”
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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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7
Computational approach via half-sweep and preconditioned aor for fractional diffusion
Published 2022“…From the formulated half-sweep Caputo approximation to the time-fractional diffusion equation, a linear system corresponds to the equation contains a large and sparse coefficient matrix that needs to be solved efficiently. We construct a preconditioned matrix based on the first matrix and develop a preconditioned accelerated over relaxation (PAOR) algorithm to achieve a high convergence solution. …”
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CNN-LSTM: hybrid deep neural network for network intrusion detection system; a case
Published 2022“…Numerous studies implemented machine learning algorithms to develop an effective IDS; however, with the advent of deep learning algorithms and artificial neural networks that can generate features automatically without human intervention, researchers began to rely on deep learning. …”
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Instant Sign Language Recognition by WAR Strategy Algorithm Based Tuned Machine Learning
Published 2025“…Following the preprocessing, both of spatial and temporal features has been extracted using the Linear Discriminant Analysis (LDA) and Gray-level cooccurrence matrix (GLCM) methods. …”
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Dental Age Estimation Using a Convolutional Neural Network Algorithm on Panoramic Radiographs: A Pilot Study in Indonesia
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Using genetic algorithms to optimise land use suitability
Published 2012“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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12
Comparative study of Pilot Symbol Assisted (PSA) beamforming techniques for (3G) WCDMA reverse link
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Spatio-Temporal processing for Optimum Uplink-Downlink WCDMA Systems
Published 2008“…We consider three different Pilot Symbol Assisted (PSA) beamforming techniques, Direct Matrix Inversion (DMI), Least-Mean Square (LMS) and Recursive Least Square (RLS) adaptive algorithms. …”
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14
Change analyses and prediction of land use and land cover changes in Bernam River Basin, Malaysia
Published 2024“…The CA-Markov approach accurately predicted LULC transitions for 2022, validated through an error matrix with an overall accuracy of 91.56% based on 450 sampling points. …”
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