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Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data
(IOS Press, 2020)
Background: Neuropsychiatric symptoms (NPS) are the leading cause of the social burden of dementia but their role is underestimated.
Objective: The objective of the study was to validate predictive models to separately ...
Investigating the performance of 410, PH13-8Mo and 300M steelsin a turning process with a focus on surfacefinish
(Elsevier Ltd., 2020)
This study generated novel behavioural data for three engineering steels undergoing a turning process. The materialswere hardened 410, PH13-8Mo and 300M, two stainless steels and one high strength steel respectively. A ...
Broaching: Cutting tools and machine tools for manufacturing high quality features in components
(Elsevier Ltd., 2020)
Broaching is a unique machining process with high accuracy and surface quality, which is employed in massand batch production for the manufacture of components with highly complex geometries. It involves the use of ...
A review of the effects of cyclic contact loading on fretting fatigue behaviour
(Sage Publishing Ltd., 2020)
A damage phenomenon called fretting fatigue frequently takes place when two contact bodies are clamped together under a normal contact load along with a small-scale oscillatory motion due to cyclic loading. In contrast to ...
Mechanics of milling 48-2-2 gamma titanium aluminide
(Elsevier Ltd., 2020)
Accurate and fast prediction of cutting forces is important in high-performance cutting in the aerospace industry. Gamma titanium aluminide (γ-TiAl) is a material of choice for aerospace and automotive applications due to ...
The contribution of microstructure and friction in broaching Ferrite–Pearlite steels
(Elsevier Ltd., 2020)
Ferrite-Pearlite (FP) steels are used in many automotive components. However, their machinability in low cutting speed processes appears to be highly dependent on their metallurgical state. An experimental approach combining ...
SDRS: A new lossless dimensionality reduction for text corpora
(Elsevier Ltd., 2020)
In recent years, most content-based spam filters have been implemented using Machine Learning (ML) approaches by means of token-based representations of textual contents. After introducing multiple performance enhancements, ...
Case Study of the Experience Capturer Evaluation Tool in the Design Process of an Industrial HMI
(MDPI AG, 2020)
In the absence of user experience evaluation tools for industrial human–machine interfaces (HMI), a specific tool called eXperience Capturer (XC) has been created. It is a multi-method user-centred tool that evaluates the ...