Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...
Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
Abstract: The successful realisation of Industry 5.0 relies on seamless collaboration between humans and robots in shared workspaces. This paper investigates predictive human trajectory classification ...
Primary Care Sciences Research Centre, Keele University, Keele, Staffordshire, UK Correspondence to: G Peat Primary Care Sciences Research Centre, Keele University ...
Department of Neuroscience, The School of Translational Medicine, Monash University & Alfred Health, Melbourne, Victoria 3004, Australia Epilepsy is a dynamic, multidisciplinary field that rapidly ...
Objectives There is now good evidence that central obesity carries more health risks compared with total obesity assessed by body mass index (BMI). It has therefore been suggested that waist ...
The repository is the official implementation of the paper: "Leaderboard: Leveraging Predictive Modeling for Protein-Ligand Insights and Discovery", published in the Bioinformatics journal. The paper ...
This study introduces a sophisticated intelligent predictive maintenance system for industrial conveyor belts powered by a random forest machine learning model. The random forest model was evaluated ...
1 Pharmavite LLC, Los Angeles, CA, USA. 2 Microsoft, Charlotte, NC, USA. 3 AXS Group LLC, Los Angeles, CA, USA. 4 TCS, Indianapolis, IN, USA. Risk management is relevant for every project that which ...
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