Search Results - (( variable information content 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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Selection of prospective workers using profile matching algorithm on crowdsourcing platform
Published 2022“…These criteria become variables that are used in the profile matching algorithm to find workers who best match the profiles offered. …”
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Robust generalized multiplicative scatter correction algorithm on pretreatment of near infrared spectral data
Published 2018“…In fact, the presence of experimental error or/and measurement error due to the heterogeneous particle size, moisture content variability, sample density, the instrument noise and pretreatment experience are often cannot be avoided. …”
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Classification model for chlorophyll content using CNN and aerial images
Published 2024“…Chlorophyll content is usually used as a quantitative measurement of plant health. …”
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Recommendation System Model For Decision Making in the E-Commerce Application
Published 2024thesis::doctoral thesis -
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An improved recommender system based on normalization of matrix factorization and collaborative filtering algorithms
Published 2015“…Recommendation System (RS) came to lime light when the information on the internet started growing to the extent that it became time consuming to get the required information. …”
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Rapid and non-destructive monitoring of the drying process of glutinous rice using visible-near infrared hyperspectral imaging
Published 2025“…The best performance accuracy (RP2≥99.99░%)was obtained when the SG1D and Gaussian process regression (GPR) model were combined with iteratively retained informative variable algorithm (SG1D-IRIV-GPR), variable iterative space shrinkage (SG1D-VISSA-GPR) and variable combination population analysis (SG1D-VCPA-GPR) for the prediction of MC, GI, and ΔE, respectively. …”
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The influence of social media usage motivations on psychological well-being
Published 2024“…For this study, Douyin usage motives are the independent variable, while PWB is the dependent variable. It will also provide additional information about how different motives for using Douyin influence the PWB of user.…”
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Revolutionizing video analytics: a review of action recognition using 3D
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Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust
Published 2022“…It was found that the predictive accuracy is significantly higher for the developed ANN model than the surface fitting based on the minimum values of AIC (Akaike Information Criterion) and BIC (Bayesian Information Criterion). …”
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Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust
Published 2022“…It was found that the predictive accuracy is significantly higher for the developed ANN model than the surface fitting based on the minimum values of AIC (Akaike Information Criterion) and BIC (Bayesian Information Criterion). …”
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On line fault detection for transmission line using power system stabilizer signals
Published 2007“…This requires that power system operators at the control centre appropriately handle information on faults and detect these faults effectively. …”
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Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study
Published 2019“…In this field, it was not possible to predict extractable P and K using all tested sensor combinations or algorithms. With large variability in SOM, the field presents a special situation and thus, the result could be specific to the study site. …”
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Multivariate Based Analysis of Methane Adsorption Correlated to Toc and Mineralogy Impact from Different Shale Fabrics
Published 2021“…The PLS is a mathematical optimization method and is employed in this study along with SVR and random forest method due to its ability to incorporate the correlation between the independent variables, which decrease the influence of noise, and identifies the system information in linear regression study. …”
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An integrated anomaly intrusion detection scheme using statistical, hybridized classifiers and signature approach
Published 2015“…Subsequently, NB+RF, a hybrid classification algorithm is used to distinguish similar and dissimilar content behaviours of a packet. …”
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Fatigue Life Assessment of Polymer-Matrix Composites Under Variable Amplitude Loading Using Neural Networks
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