Results 21 to 30 of about 181,074 (164)

Automation of unstructured production environment by applying reinforcement learning

Frontiers in Manufacturing Technology, 2023
Implementation of Machine Learning (ML) to improve product and production development processes poses a significant opportunity for manufacturing industries. ML has the capability to calibrate models with considerable adaptability and high accuracy. This
Sanjay Nambiar, Anton Wiberg, Mehdi Tarkian   +2 more
doaj   +1 more source

Efficiency measurement based on novel performance measures in total productive maintenance (TPM) using a fuzzy integrated COPRAS and DEA method

Frontiers in Manufacturing Technology, 2023
Total Productive Maintenance (TPM) has been widely recognized as a strategic tool and lean manufacturing practice for improving manufacturing performance and sustainability, and therefore it has been successfully implemented in many organizations.
Ebru Turanoglu Bekar
doaj   +1 more source

Leveraging I4.0 smart methodologies for developing solutions for harvesting produce

Frontiers in Manufacturing Technology, 2023
Leveraging Computer-Aided Design (CAD) and Manufacturing (CAM) tools with advanced Industry 4.0 (I4.0) technologies presents numerous opportunities for industries to optimize processes, improve efficiency, and reduce costs.
Ava Recchia, Jill Urbanic
doaj   +1 more source

Long‐term safety and efficacy of rituximab in 248 adults with immune thrombocytopenia: Results at 5 years from the French prospective registry ITP‐ritux

American journal of hematology/oncology, 2019
Rituximab is a second‐line option in adults with immune thrombocytopenia (ITP), but the estimated 5‐year response rate, only based on pooled retrospective data, is about 20%, and no studies have focused on long‐term safety.
S. Deshayes, M. Khellaf, A. Zarour, Richard Layese, O. Fain, L. Terriou, J. Viallard, S. Cheze, J. Graveleau, B. Slama, S. Audia, M. Cliquennois, M. Ebbo, Guillaume Le Guenno, G. Salles, C. Bonmati, F. Teillet, L. Galicier, O. Lambotte, A. Hot, F. Lefrère, M. Mahévas, F. Canoui-Poitrine, M. Michel, B. Godeau   +24 more
semanticscholar   +1 more source

Tool design for low-frequency vibration cutting on surface property

Frontiers in Manufacturing Technology, 2023
Low-frequency vibration cutting is a machining technology in which chips are broken by applying periodic vibrations along a specific axis. Periodic vibration deteriorates the surface roughness and roundness of the workpiece when compared to without ...
Shogo Nakamura, Kenichi Nakanishi, Kenji Ohara, Yoshikatsu Nakamura, Zongwei Ren, Toru Kizaki, Naohiko Sugita   +6 more
doaj   +1 more source

Early lesion detection with 18F-DCFPyL PET/CT in 248 patients with biochemically recurrent prostate cancer

European Journal of Nuclear Medicine and Molecular Imaging, 2019
PurposeProstate-specific membrane antigen (PSMA) PET/CT is increasingly used in patients with biochemically recurrent prostate cancer (BCR), mostly using gallium-68 (168Ga)-labelled radiotracers. Alternatively, fluorine-18 (18F)-labelled PSMA tracers are
M. Wondergem, B. Jansen, F. M. van der Zant, T. M. van der Sluis, R. Knol, L. W. M. van Kalmthout, O. Hoekstra, R. V. van Moorselaar, D. Oprea‐Lager, A. Vis   +9 more
semanticscholar   +1 more source

Ecosystem integration: the use of ontologies in integrating knowledge across manufacturing value networks

Frontiers in Manufacturing Technology
One of the greatest challenges in creating effective decision-making systems for connected enterprises is the management of cross-domain information.
Michela Magas, Dimitris Kiritsis, María Poveda-Villalón, Lan Yang, Sten-Erik Björling, Andreas Rudenå   +5 more
doaj   +1 more source

Enhancing manufacturing operations with synthetic data: a systematic framework for data generation, accuracy, and utility

Frontiers in Manufacturing Technology
Addressing the challenges of data scarcity and privacy, synthetic data generation offers an innovative solution that advances manufacturing assembly operations and data analytics.
Vishnupriya Buggineni, Cheng Chen, Jaime Camelio   +2 more
doaj   +1 more source

Forecasting models analysis for predictive maintenance

Frontiers in Manufacturing Technology
IntroductionThis study explores the shift toward predictive maintenance through real-time data analytics to minimize machine downtime and improve machinery insights in industrial environments. Predictive maintenance aims to enable proactive interventions
Marco Belim, Tiago Meireles, Gil Gonçalves, Rui Pinto   +3 more
doaj   +1 more source

Prediction of fatigue life of geometrically deviated steam turbine blades under thermo-mechanical conditions

Frontiers in Manufacturing Technology
This study explores the intricate factors affecting the fatigue life of steam turbine blades, encompassing steam flow-induced bending, centrifugal loading, vibration response, structural mistuning, and temperature-dependent influences. By focusing on the
Makgwantsha Hermelton Mashiachidi, Dawood A. Desai   +1 more
doaj   +1 more source