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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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 real-time machine learning-based methodology for short-term frequency nadir prediction in low-inertia power systems by MJ Jiménez-Navarro, JM Riquelme-Dominguez, M Carranza-García, Francisco Gonzalez-Longatt

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Advancing healthcare AI: Methods to improve robustness, transparency and user-centric integration by Andrew Houston

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Nonsmooth low-rank matrix recovery: methodology, theory and algorithm by Wei Tu, Peng Liu, Yi Liu, Guodong Li, Bei Jiang, Linglong Kong, Hengshuai Yao, Shangling Jui

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Chemical, biological, radiological and nuclear event detection and classification using ontology interrogation and Social Media data by Alrefaie Mohamed, Tom Jackson, Ejovwoke Onojeharho, Elayan Suzanne

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An exploration of methodologies to improve semi-supervised hierarchical clustering with knowledge-based constraints by Abeer Aljohani

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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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Artificial intelligence and art history: looking at images in an algorithmic culture by Kathryn Brown

“…Contributors explore recent developments in machine learning and computer vision and debate whether algorithmic analyses of art open new possibilities for human seeing. …”
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Building accurate exchange-correlation functional for density functional theory through data analytics and optimization by Junfeng Zhao, Lixin Tang, Jiyin Liu, Jian Wu, Xiangman Song

“…The recent advancements in data analytics techniques, such as machine learning, which excel in pattern recognition, offer new opportunities for more effective approximations of the XC functional. …”
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Text-detection and -recognition from natural images by Hanaa Mahmood

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Application of response surface-corrected finite element model and Bayesian neural networks to predict the dynamic response of forth road bridges under strong winds by Yan Liu, Liangliang Hu, Xiaolin Meng, Yan Bao, Craig Hancock

“…Achieving the precise implementation of DT relies significantly on a dual-drive approach, combining the influence of both physical model-driven and data-driven methodologies. In this paper, two methods are proposed to predict the displacement and dynamic response of structures under strong winds, namely, a Bayesian Neural Network (BNN) model based on Bayesian inference and a finite element model (FEM) method modified based on genetic algorithms (GAs) and multi-objective optimization (MOO) using response surface methodology (RSM). …”
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