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Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State
Published 2022“…From this, the spatial criteria scheme data is produced. The MCDM-AHP algorithm is applied to the criteria scheme data to identify the number of RES sites. …”
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A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications
Published 2025“…The first layer identified 23 optimal wind energy sites and 138 optimal hydro energy sites. The second layer employed spatial data and the fuzzy Technique for Order Preference by Similarity to Ideal Solution algorithm to refine potential solar energy sites, yielding the top 100 optimal locations. …”
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Advanced data mining techniques for landslide susceptibility mapping
Published 2021“…Simultaneously, the traditional algorithm is also useful and remains relevant, especially with similar site conditions. …”
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Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…The performance of the outcome was validated based on the receiver operating characteristic (ROC) area under the curve (AUC) values, confusion matrix and Cross Validation method. …”
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Integration of object-based image analysis and data mining techniques for detailes urban mapping using remote sensing
Published 2015“…Overall accuracies of 88.05% and 87.78% were achieved for the first and second study sites, respectively. In the second case, available training data from the first study site were used to conduct the DM task. …”
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Deriving global and local integrity rules for a distributed database
Published 2001“…In this paper, we describe an enforcement algorithm based on the rule mechanisms for a distributed database which aims at minimising the amount of data that has to be accessed or transferred across the underlying network by maintaining the consistency of the database at a single site, i.e. at the site where the update is to be performed. …”
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Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm
Published 2023“…It provides an increased convergence and globally optimized solutions. The algorithm has been tested using actual customer consumption data from SESB. 10 fold cross validation method is used to confirm the consistency of the detection accuracy. …”
Conference Paper -
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…This area contains 604 pairs of observed data which was grouped into 60%, 20% and 20% for training, validation and testing, respectively. …”
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Early tube leak detection system for steam boiler at KEV power plant
Published 2023Conference Paper -
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A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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Construction Noise Prediction Using Stochastic Deep Learning
Published 2022“…The deep learning model was trained with stochastic data to predict the noise levels emitted from the construction site. …”
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An augmented reality real-time cloud-based remote monitoring algorithm for a manufacturing system / Siti Aisyah Jaafar
Published 2021“…The algorithm's validity was proven by applying it to a simple material handling process which is a colour sorting conveyor. …”
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Photogrammetric unmanned aerial vehicle for digital terrain model estimation under oil palm tree canopy area / Suzanah Abdullah
Published 2021“…Following the application of a new methodology on the real site, the result indicated the consistency of DTM values of all the algorithms at different flying heights but there were relatively small differences between all the algorithms used. …”
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Prediction of Surface Flow by Forcing of Climate Forecast System Reanalysis Data
Published 2023Article -
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Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis
Published 2017“…A case study on landfill site selection in four northern states of Malaysia was conducted to demonstrate the validity of the new SDM model. …”
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Development of bi-objective optimization model for supply chain network design using data envelopment analysis
Published 2017“…Several examples have been applied to verify and validate the effectiveness of proposed model and Benders decomposition algorithm. …”
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Outdoor User Location over 802.11 Ad-hoc Network
Published 2006“…At the end of this work, the site testing has validated that this algorithm can be used to determine the user location in outdoor environment with considerable accuracy.…”
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Final Year Project -
20
A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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