Search Results - ((predictive modelling) OR (pervasive computing)) techniques
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1
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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2
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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3
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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4
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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5
A user profile for information filtering using RFID-SIM card in pervasive network
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Proceeding Paper -
6
Internet of things: the concept, inherent security challenges and recommended solutions
Published 2019“…The inclusion of more operational actions while modelling security protocols is highly prioritised in the proposed research work. …”
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Book Chapter -
7
A conceptual framework for measuring the acceptance of pervasive learning
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8
HMM as an inference technique for context awareness
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Proceeding Paper -
9
GOPE: A MVC driven mobile framework using HTML5 for pervasive device container
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10
A conceptual framework for measuring the acceptance of pervasive learning
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Proceeding Paper -
11
The trend of mobile malwares and effective detection techniques
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Book Chapter -
12
Detection and avoidance technique of anomalous congestion at the network gateways
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13
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 -
14
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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15
Blood glucose level prediction using intelligent based modeling techniques
Published 2010“…In this paper, new methods of blood glucose (BG) level modeling and prediction using artificial intelligent (AI) based techniques have been suggested. …”
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Proceeding Paper -
16
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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17
Failure Model Prediction Using Machine Learning Techniques
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Final Year Project -
18
Improving total sediment load prediction using genetic programming technique (Case Study: Malaysia)
Published 2020“…A new technique called Genetic programming (GP) technique is used to develop a new model to improve the prediction of total sediment load for rivers in tropical Malaysia. …”
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Conference or Workshop Item -
19
GUI Based ANFIS Modeling: Back Propagation Optimization Method for CO2 Laser Machining
Published 2009“…The uniqueness of this modeling technique is that, all modeling, variable selection, model validation, prediction, etc. was done using a graphical user interface (GUI) developed on our own using Matlab. …”
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20
Integrated approach for improving cross-project software defect prediction performance
Published 2024“…The TFSM approach leverages the strengths of each individual technique, resulting in a synergistic effect that enhances the model’s predictive accuracy. …”
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Thesis
