Search Results - ((((predictive computing) OR (predictive modelling))) OR (pervasive computing)) techniques
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Extreme learning machine for user location prediction in mobile environment
Published 2011“…Purpose – Prediction accuracies are usually affected by the techniques and devices used as well as the algorithms applied. …”
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Extreme learning machine for user location prediction in mobile environment
Published 2011“…Purpose – Prediction accuracies are usually affected by the techniques and devices used as well as the algorithms applied. …”
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Covid-19 mortality risk prediction using small dataset of chest x-ray images
Published 2023“…The appropriateness of the techniques proposed in this study for predictive modelling maybe particularly suited when only small datasets are available especially at the onset of similar pandemics. …”
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MLMO-HSM: Multi-label Multi-output Hybrid Sequential Model for multi-resident smart home activity recognition
Published 2022“…Experimentation has been performed with various machine learning, graphical and deep learning models at the different sizes of the ARAS dataset to validate the efficiency of the proposed model in terms of activity recognition and computation time.…”
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Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm
Published 2009“…The past decade has seen a rapid development of many applications in the field of pervasive or ubiquitous computing. This is made possible by rapid development in mobile and handheld devices. …”
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Proceeding Paper -
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HMM as an inference technique for context awareness
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Proceeding Paper -
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Identification of significant features and data mining techniques in predicting heart disease
Published 2019“…Experiment results show that the heart disease prediction model developed using the identified significant features and the best-performing data mining technique (i.e. …”
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Comparing the Performance of Predictive Models Constructed Using the Techniques of Feed-Forword and Generalized Regression Neural Networks
Published 2016“…This paper compares the accuracy of two typical neural network techniques used for creating a predictive model. The techniques are feed-forward neural network and the generalized regression networks. …”
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A comparison of normalization techniques in predicting dengue outbreak
Published 2010“…These techniques are incorporated in the LS-SVM and Neural Network (NNM) prediction model respectively. …”
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Book Section -
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Prediction of Suspended Sediment Concentration in Kinta River Using Soft Computing Techniques
Published 2013“…In this study, suspended sediment concentration in Kinta River is predicted using soft computing technique, specifically radial basis function. …”
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Final Year Project -
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The prediction of students' academic performance using classification data mining techniques
Published 2015“…Decision Tree, Naïve Bayes, and Rule Based classification techniques are applied to the students’ data in order to produce the best students’ academic performance prediction model. …”
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Ensemble Learning Boosting Model of Improving Classification and Predicting
Published 2020“…An effective prediction model is one that can provide a higher prediction accurate, that is the goal of prediction model development. …”
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A Literature Review on Gold Price Predictive Techniques
Published 2015“…The target of this paper is to present a critical literature review and an up to date bibliography on gold forecasting techniques over the world. Various forecasting techniques concerning the gold price prediction have been highlighted including basic forecasting approached such as Artificial Neural Networks (ANN), hybrid forecasting approach, Swarm Intelligence approach and so on.…”
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Conference or Workshop Item -
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New approach for developing soft computational prediction models for moment and rotation of boltless steel connections
Published 2018“…The LGP model well predicted the M-θ behavior as compared to the other models. …”
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Model predictive control based on Lyapunov function and near state vector selection of four-leg inverter / Abdul Mannan Dadu
Published 2018“…The model predictive control technique utilizes all the available voltage vectors of power inverter to improve the predictive current control performance. …”
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Thesis -
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Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure
Published 2014“…This research project is to enhanced predictive crime mapping model with data mining technique to predict the possible rate of crime occurrence. …”
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Conference or Workshop Item -
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Machine learning techniques for software bug prediction: a systematic review
Published 2020“…There are many techniques and approaches that can be used to build the prediction models, such as machine learning. …”
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