Results 201 to 210 of about 184,754 (242)

Predicting and Comparing the Subjective Health Experience of Older Cancer Survivors and Non‐Cancer Survivors: A Modeling Approach

Aging and Cancer, EarlyView.
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst, Sjaak Bloem, Eline J. Mertens, Nathascha Hanzen, Michel van Agthoven   +4 more
wiley   +1 more source

Application of the Nadaraya-Watson estimator based attention mechanism to the field of predictive maintenance. [PDF]

MethodsX
Siraskar R, Kumar S, Patil S, Bongale A, Kotecha K.   +4 more
europepmc   +1 more source

Cutaneous Melanoma Drives Metabolic Changes in the Aged Bone Marrow Immune Microenvironment

Aging and Cancer, EarlyView.
Melanoma, the deadliest form of skin cancer, increasingly affects older adults. Our study reveals that melanoma induces changes in iron and lipid levels in the bone marrow, impacting immune cell populations and increasing susceptibility to ferroptosis.
Alexis E. Carey, Murilo Ramos Rocha, Cheyenne Palm, Vania Wang, Denys Balandin, Ethan Black, Kevin Y. Zhang, Fan Huang, Daniel J. Zabransky, Yash Chhabra, Mareike Peters, Gabriel Ghiaur, Ashani Weeraratna   +12 more
wiley   +1 more source

Condition Monitoring and Predictive Maintenance of Assets in Manufacturing Using LSTM-Autoencoders and Transformer Encoders. [PDF]

Sensors (Basel)
Bampoula X, Nikolakis N, Alexopoulos K.
europepmc   +1 more source

Towards a Distributed Digital Twin Framework for Predictive Maintenance in Industrial Internet of Things (IIoT). [PDF]

Sensors (Basel)
Abdullahi I, Longo S, Samie M.
europepmc   +1 more source

Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices. [PDF]

PeerJ Comput Sci
Abd Wahab NH, Hasikin K, Wee Lai K, Xia K, Bei L, Huang K, Wu X.   +6 more
europepmc   +1 more source

Failure analysis in predictive maintenance: Belt drive diagnostics with expert systems and Taguchi method for unconventional vibration features. [PDF]

Heliyon
Shandookh AA, Farhan Ogaili AA, Al-Haddad LA.   +2 more
europepmc   +1 more source

Elevating Smart Manufacturing with a Unified Predictive Maintenance Platform: The Synergy between Data Warehousing, Apache Spark, and Machine Learning. [PDF]

Sensors (Basel)
Su N, Huang S, Su C.
europepmc   +1 more source

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Predictive Maintenance in der Produktion*/Predictive Maintenance in production

wt Werkstattstechnik online, 2017
Über neue Möglichkeiten der Vernetzung und Datenverarbeitung von Anlagen und -komponenten gewinnt die prädiktive Instandhaltung stetig an Bedeutung. Während sie insbesondere in der Luftfahrt sowie bei der Versorgungs- und Energietechnik schon seit Jahren zum Einsatz kommt, sind innerhalb der Produktion derzeit noch wenige Anwendungsfälle zu finden. Der
R. Wöstmann, P. Strauss, J. Prof. Deuse
openaire   +1 more source

Predictive maintenance

2020
The aim of this thesis is to show how predictive maintenance is spread in companies located in Vorarlberg and how this corresponds to the current state of research. The following research questions are asked: What is the current state of research in the field of predictive maintenance?
openaire   +2 more sources