Adaptive frameworks for robust myoelectric hand gesture prediction using machine learning and deep learning by Carl Robinson

“…The research conducted herein places a focus on supplying reliable operational performance and movement dexterity via myoelectric control using machine learning (ML) and deep learning (DL) strategies. …”
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A fault diagnosis methodology for an external gear pump with the use of Machine Learning classification algorithms: Support Vector Machine and Multilayer Perceptron by K. Lakshmanan, A. J. Gil, F. Auricchio, F. Tessicini

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Supplementary information files for Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation... by Andrew Houston, Georgina Cosma, Phillipa Turner, Alexander Bennett

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D3-ImgNet: a framework for molecular properties prediction based on data-driven electron density images by Junfeng Zhao, Lixin Tang, Jiyin Liu, Jian Wu, Xiangman Song

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Enhancing automated bug report analysis through advanced neural language models by Guoming Long

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Developing transferable real-time crash prediction models for highly imbalanced data by Cheuk Ki Man

“…Due to their simplicity in application, various statistical and machine learning models have utilised this methodology in real-time crash prediction which attained satisfactory predictability. …”
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Using plantar pressure for free-living posture recognition and sedentary behaviour monitoring by Ricardo Aguilar Grajeda

“…Afterwards, a novel methodology for measuring daily life sedentary behaviour using plantar pressure data and a machine learning predictive model is developed. …”
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Data-driven analysis of decision-making in football by Chaoyi Gu

“…We contribute to the field by solving these challenges and introducing novel Machine Learning techniques, which can be used to evaluate on-pitch decisions more accurately with contextualised modelling.…”
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Probabilistic reasoning for automotive systems by Rhys Comissiong

“…This can potentially lead to the reduction of physical sensors and actuators used on internal combustion engines and other applications.With the increase in computational efficiency, Artificial Intelligence and Machine Learning techniques have gained popularity. …”
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