Results 1 to 10 of about 9,225 (144)

Clock Proteins Have the Potential to Improve Term Delivery Date Prediction: A Proof-of-Concept Study [PDF]

Life
Our ability to accurately predict the delivery date of term pregnancies is limited by shortcomings of modern-day clinical tools and due date estimation methods.
Max T. Dufford, Tracey C. Fleischer, Laura J. Sommerville, Md. Bahadur Badsha, Ashoka D. Polpitiya, Jennifer Logan, Angela C. Fox, Sharon R. Rust, Charles B. Cox, Thomas J. Garite, J. Jay Boniface, Paul E. Kearney   +11 more
doaj   +2 more sources

Challenges and Opportunities of System-Level Prognostics

Sensors, 2021
Prognostics and health management (PHM) has become an essential function for safe system operation and scheduling economic maintenance. To date, there has been much research and publications on component-level prognostics.
Seokgoo Kim, Joo-Ho Choi, Nam H. Kim
doaj   +1 more source

Prognostics for Autonomous Electric-Propulsion Aircraft

International Journal of Prognostics and Health Management, 2021
An autonomous unmanned aerial system (UAS) needs, during the flight, accurate information about the current failure state of the aircraft and its capabilities in order to safely perform its mission and properly react to contingencies.
Johann Schumann, Chetan Kulkarni, Michael Lowry, Anupa Bajwa, Christopher Teubert, Jason Watkins   +5 more
doaj   +1 more source

Analysis and Application of Grey Wolf Optimizer-Long Short-Term Memory

IEEE Access, 2020
Long short-term memory (LSTM) is widely applied in both academic and industrial fields. However, there is no reliable criterion on selecting hyperparameters of LSTM.
Jinxin Pan, Bo Jing, Xiaoxuan Jiao, Shenglong Wang   +3 more
doaj   +1 more source

A Comparative Study on Methods for Fusing Data-Driven and Physics-Based Models for Hybrid Remaining Useful Life Prediction of Air Filters

IEEE Access, 2023
Approaches for diagnosis and prognosis of the health of engineering systems are divided into data-driven, model-based, and hybrid methods. Data-driven methods depend on the availability of data.
Simon Hagmeyer, Peter Zeiler
doaj   +1 more source

Survival of Testicular Pure Embryonal Carcinoma vs. Mixed Germ Cell Tumor Patients across All Stages

Medicina, 2023
Background and Objectives: The impact of pure histological subtypes in testicular non-seminoma germ cell tumors on survival, specifically regarding pure embryonal carcinoma, is not well established.
Cristina Cano Garcia, Andrea Panunzio, Stefano Tappero, Mattia Luca Piccinelli, Francesco Barletta, Reha-Baris Incesu, Kyle W. Law, Lukas Scheipner, Zhe Tian, Fred Saad, Shahrokh F. Shariat, Derya Tilki, Alberto Briganti, Ottavio De Cobelli, Carlo Terrone, Alessandro Antonelli, Severine Banek, Luis A. Kluth, Felix K. H. Chun, Pierre I. Karakiewicz   +19 more
doaj   +1 more source

Using Data From Similar Systems for Data-Driven Condition Diagnosis and Prognosis of Engineering Systems: A Review and an Outline of Future Research Challenges

IEEE Access, 2023
Prognostics and health management (PHM) is an engineering approach dealing with the diagnosis, prognosis, and management of the health state of engineering systems.
Marcel Braig, Peter Zeiler
doaj   +1 more source

The Role of Everolimus in Renal Cell Carcinoma

Journal of Kidney Cancer and VHL, 2015
Everolimus (RAD001) is an orally administered agent that inhibits the mammalian target of rapamycin serine-threonine kinase. A phase III pivotal trial on everolimus, published in 2008, provided the first evidence for the efficacy of sequential therapy ...
Malek Meskawi, Roger Valdivieso, Paolo Dell’Oglio, Vincent Trudeau, Alessandro Larcher, Pierre I Karakiewicz   +5 more
doaj   +1 more source

A Hybrid Prognostic Approach Based on Deep Learning for the Degradation Prediction of Machinery

Sakarya University Journal of Computer and Information Sciences, 2021
Remaining useful life (RUL) prediction is of great significance for prognostic and health management (PHM) as it can achieve more reliable and effective maintenance strategies.
Ahmet Kara
doaj   +1 more source

State of Health Estimation Procedure for Lithium-Ion Batteries Using Partial Discharge Data and Support Vector Regression

Energies, 2023
Battery aging is a complex phenomenon, and precise state of health (SoH) monitoring is essential for effective battery management. This paper presents a data-driven method for SoH estimation based on support vector regression (SVR), utilizing features ...
Emil Petkovski, Iacopo Marri, Loredana Cristaldi, Marco Faifer   +3 more
doaj   +1 more source