Results 21 to 30 of about 2,015 (219)
KSTAR Applications: Code to run and analyze KSTAR publication datasets [PDF]
Code demonstrating KSTAR examples and as ...
Kristen Naegle (8206152)
core +1 more source
Research on a Novel Hybrid Power Supply Scheme with Energy Storage Technology for Tokamak
Megawatt‐impulse power generated by Tokamak fusion devices seriously threats to the stable operation of the whole system. The current power supply scheme needs to leave large redundancy to suffer such a huge power impact, resulting in a high cost of the power supply system. Moreover, no reasonable configuration for impulse power and stable power causes
Yunxiang Tian +7 more
wiley +1 more source
The length of hospital stay (LOS) is a significant indicator of the quality of patient care, hospital efficiency, and operational resilience. Considering the importance of LOS in hospital resource management, this research aims to improve the accuracy of LOS prediction using hyperparameter optimization (HPO).
Atefeh Mansoori +3 more
wiley +1 more source
Data mining in predictive maintenance systems: A taxonomy and systematic review
Predictive Maintenance from a Data Mining perspective: this review analyzes the most significant predictive maintenance (PdM) contributions in recent years from Data Mining (DM) perspective. An exhaustive study is carried out to determine the most used DM techniques for solving each specific PdM problem.
Aurora Esteban +2 more
wiley +1 more source
Abstract In defect prediction, a high false‐positive rate (FPR) caused by class imbalance not only increases the workload of testing and development but also consumes unnecessary costs. Many defect models against class imbalance have been proposed to improve the accuracy of defect prediction, but their ability to reduce FPR is unclear.
Yanyang Zhao +3 more
wiley +1 more source
[Retracted] Cancer Detection and Prediction Using Genetic Algorithms
Cancer is a wide category of diseases that is caused by the abnormal, uncontrollable growth of cells, and it is the second leading cause of death globally. Screening, early diagnosis, and prediction of recurrence give patients the best possible chance for successful treatment.
Aradhita Bhandari +6 more
wiley +1 more source
Thermal behavior of the KSTAR tungsten cassette divertor in KSTAR 2023 campaign
Koung Moon Kim
exaly +2 more sources
[Retracted] An Image Processing Approach for Detection of Prenatal Heart Disease
Prenatal heart disease, generally known as cardiac problems (CHDs), is a group of ailments that damage the heartbeat and has recently now become top deaths worldwide. It connects a plethora of cardiovascular diseases risks to the urgent in need of accurate, trustworthy, and effective approaches for early recognition.
Saravana Selvan +9 more
wiley +1 more source
Software Defect Prediction Using Artificial Neural Networks: A Systematic Literature Review
The demand for automated online software systems is increasing day by day, which triggered the need for high‐quality and maintainable softwares at lower cost. Software defect prediction is one of the crucial tasks of the quality assurance process which improves the quality at lower cost by reducing the overall testing and maintenance efforts.
Muhammad Adnan Khan +7 more
wiley +1 more source
[Retracted] Prediction of Risk Takers in Arterial Hypertension Patients with Data Mining Application
Hyper arterial pressure (HAP) is a disease that kills silently because it does not produce symptoms in the early stages, making it difficult to diagnose. When it is detected, its treatment is not accessible to everyone, which affects the disease’s long‐term development. Hypertension affects a large portion of the Iraqi population.
Lamia Alhazmi +2 more
wiley +1 more source

