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Leveraging artificial intelligence (AI) for Stress management in peak athletic performance: an integrative review
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Detecting and predicting land use and land cover change in the cross-sanaga-bioko coastal forest region for sustainable forest management
Published 2025“…The study revealed a significant reduction in forested areas (35.55% loss), with the most substantial decline (14.69%) between 2007 and 2014. …”
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FPGA accelerated radio galaxy classification with a Fourier convolutional neural network
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A comparison of the effect of the mechanical wash action on textile fabric deterioration and soil removal efficiency
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Development of a process modelling methodology and condition monitoring platform for air-cooled condensers
Published 2021“…This can result in performance reduction under adverse ambient conditions, which leads to increased turbine back pressures and in turn, a decrease in generated electricity. …”
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A deep framework for predictive maintenance
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Determination of drainage rates of heavy media for different aperture sizes on a vibrating screen
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On-line monitoring of hydrocyclones by use of image analysis
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Chemical etching investigation on surface finish and fatigue behaviour of laser powder bed fusion produced Ti-6Al- 4V.
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Statistical classification in high-dimensional scenarios with a focus on microarray data sets
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Statistical classification procedures for analyisng functional data
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Harnessing ML and IIoT for Traceability in Continuous Production Systems: A Conceptual Framework
Published 2026“…This thesis seeks to integrate Industrial Internet of Things (IIoT), Machine Learning (ML), and Big Data Analytics (BDA) to establish a smart traceability system in continuous production plants. …”
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Predictive Maintenance: Leveraging Hybrid LSTM-CNN Architectures for Enhanced Performance
Published 2025“…Compared to traditional models like Random Forests and Support Vector Machines, the proposed deep learning architectures offered more accurate RUL estimation and stronger performance on unseen test data. …”
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A systematic review on Integrating Artificial Intelligence (AI) into disaster risk management
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The prediction of condensation flow patterns by using artificial intelligence (AI) techniques
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Empirical modelling in non-linear predictive control : a coffee roaster application
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Development of model to predict the compressive strength of concrete using schmidt hammer
Published 2016ArticleFull Text AvailableAccess Repository