Search Results - (( model evaluation model algorithm ) OR ( based construction sector algorithm ))
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Real-time Personal Protective Equipment (PPE) compliance detection system using you only look once version 5 / Nur Amielia Natasha Mohamad Nazli
Published 2023“…In order for the system to easily access by the targeted users, companies in the manufacturing and construction sectors and the Occupational Safety and Health Act (OSHA), the system was developed as a web-based platform. …”
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A new integrated approach for evaluating sustainable development in the electric vehicle sector
Published 2025“…Results reveal significant differences in innovation performance across five industry sectors, among which the charging pile system sector exhibits the highest average value, and the battery system sector exhibits the lowest average value. …”
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Green retrofitting of building using BIM-based sustainability optimization
Published 2024“…The construction industry consumes around 55 percent of Pakistan’s annual energy and is the country’s most energy-intensive sector. …”
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Green retrofitting of building using BIM-based sustainability optimization
Published 2024“…The construction industry consumes around 55 percent of Pakistan’s annual energy and is the country’s most energy-intensive sector. …”
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Understanding the Causes of Design Errors in Construction Projects: A DEMATEL-Based Framework
Published 2024“…Subsequently, 15 experts were interviewed, and the data collected was analyzed using the decision-making trial and evaluation laboratory (DEMATEL) algorithm. The critical factors and their relationships were then presented in an impact-relation map diagram. …”
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Tourism Sustainable Competitiveness Indicator in Malaysia: Construct and Forecasting Ability
Published 2023“…The core framework of the constructed TSCI was selected based on a rigorous variable importance assessment using random forest algorithm. …”
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Artificial neural networks for burst pressure strength of corroded subsea pipelines repaired with composite fiber-reinforced polymer patches / Mohd Fakri Muda
Published 2023“…A computational model for predicting the burst pressure strength of repaired pipelines with composite FRP patches was employed using the ANN algorithm. …”
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Modeling of mechanical properties of silica fume-based green concrete using machine learning techniques
Published 2022“…A cross-validation technique was used to avoid overfitting issues and confirm the generalized modeling output. ML algorithms are used to predict SFC compressive strength to promote the use of green concrete. …”
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Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall
Published 2013“…The performance of four artificial neural network (ANN) training algorithms was evaluated to identify the training algorithm appropriate for modeling the dynamics of soil pore-water pressure responses to rainfall patterns using multilayer perceptron (MLP) ANN. …”
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Diagnosis and recommender system for diabetes patient using decision tree / Nurul Aida Mohd Zamary
Published 2024“…To evaluate the model, the model accuracy, precision, recall, F1- score, and confusion matrix were used. …”
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Neural Networks Ensemble: Evaluation of Aggregation Algorithms for Forecasting
Published 2013“…The outputs from the individual NN models were combined by four different aggregation algorithms in NNs ensemble. …”
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A Model for Evaluation of Cryptography Algorithm on UUM Portal
Published 2004“…The purpose of this project are to construct and provide guidelines to develop a simulation model to evaluate cryptography algorithm in terms of encryption speed and descryption speed on UUM portal. …”
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Analytical Study Of Machine Learning Models For Stock Trading In Malaysian Market
Published 2024“…Therefore, this study focused to contribute on evaluating different algorithm models such as traditional ML and deep learning models with big stock data of multiple parameters from selected companies in Bursa Malaysia. …”
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Evaluation of different peak models of eye blink EEG for signal peak detection using artificial neural network
Published 2016“…This study evaluates the performance of eye blink EEG signal peak detection algorithm for four different peak models which are Dumpala's, Acir's, Liu's, and Dingle's peak models. …”
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Evaluation Of Different Peak Models Of Eye Blink Eeg For Signal Peak Detection Using Artificial Neural Network
Published 2016“…This study evaluates the performance of eye blink EEG signal peak detection algorithm for four different peak models which are Dumpala’s, Acir’s, Liu’s, and Dingle’s peak models. …”
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Multistep forecasting for highly volatile data using new algorithm of Box-Jenkins and GARCH
Published 2018“…The study of the multistep ahead forecast is significant for practical application purposes using the proposed statistical model. This study is proposing a new algorithm of Box-Jenkins and GARCH (or BJ-G) in evaluating the multistep forecasting performance of the BJ-G model for highly volatile time series data. …”
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Dynamic Bayesian networks and variable length genetic algorithm for designing cue-based model for dialogue act recognition
Published 2010“…The model is evaluated against two previously proposed models and the results confirm the potentiality of dynamic Bayesian networks for dialogue act recognition. …”
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