Results 11 to 20 of about 4,253 (208)

Interpretable Artificial Intelligence for Analysing Changes in Gases in the Uterine Environment of Cows According to Physiological Structures in the Ovary. [PDF]

Vet Med Sci
‐ The relationship between the gases in a cow's uterine environment and its ovarian physiological structures. ‐ The sunflower optimisation algorithm (SFOA) deployed in a device called Metrisör ‐ The data from this study may enable the development of a new estrus detection method for cows ABSTRACT The objective of the present study was to examine the ...
Risvanli A, Tanyeri B, Yildirim G, Tatar Y, Gedikpinar M, Kalender H, Safak T, Yuksel B, Karagulle B, Yilmaz O, Barut C, Kilinc MA.   +11 more
europepmc   +2 more sources

Discovery of Knowledge in the Incidence of a Type of Lung Cancer for Patients through Data Mining Models. [PDF]

Comput Intell Neurosci, 2022
This paper presents the research results on the contribution of user‐centered data mining based on the standard principles, focusing on the analysis of survival and mortality of lung cancer cases. Researchers used anonymized data from previously diagnosed instances in the health database to predict the condition of new patients who have not had their ...
Saleh Ibrahim Y, Muhammed Y, Al-Douri AT, Faisal MS, Mohamad AAH, Al-Husban A, Birhan M.   +6 more
europepmc   +2 more sources

Cross‐project defect prediction method based on genetic algorithm feature selection

Engineering Reports, Volume 5, Issue 12, December 2023., 2023
Applied genetic algorithm to feature selection in software defect prediction technology. Abstract With the continuous development of Internet technology, the role of software in life is increasing, and software defect prediction (SDP) is a key means to ensure software reliability.
Zhixi Hu, Yi Zhu
wiley   +1 more source

The measurement of carbon density profile using charge exchange spectroscopy in KSTAR

AIP Advances, 2022
The first measurement of the impurity density profile via charge exchange spectroscopy (CES) has been successfully achieved in KSTAR. Since the neutral beam density profile is essential for the measurement, the neutral beam penetration code that was ...
J. K. Lee, H. H. Lee, W. H. Ko, B. Na, J. Ko, M. W. Lee, S. G. Lee   +6 more
doaj   +1 more source

Investigating the performance of machine learning algorithms in predicting the survival of COVID‐19 patients: A cross section study of Iran

Health Science Reports, Volume 6, Issue 4, April 2023., 2023
Abstract Background and Aims Like early diagnosis, predicting the survival of patients with Coronavirus Disease 2019 (COVID‐19) is of great importance. Survival prediction models help doctors be more cautious to treat the patients who are at high risk of dying because of medical conditions.
Azita Yazdani, Somayeh Kianian Bigdeli, Maryam Zahmatkeshan   +2 more
wiley   +1 more source

Research on a Novel Hybrid Power Supply Scheme with Energy Storage Technology for Tokamak

International Journal of Energy Research, Volume 2023, Issue 1, 2023., 2023
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, Yanan Wu, Jing Lu, Liuwei Xu, Pengfei Wang, Jun Li, Rui He, Suha Mert   +7 more
wiley   +1 more source

Motional Stark effect diagnostics for KSTAR [PDF]

Journal of the Korean Physical Society, 2014
The motional Stark effect (MSE) diagnostic is used to measure the radial magnetic pitch-angle profile in neutral-beam-heated plasmas. The diagnostic relies upon the measurement of the polarization direction of Stark-split D-alpha emission from injected fast neutral atoms in a magnetic field.
Chung, Jinil, Ko, J., Howard, John, Michael, Clive, Von Nessi, Gregory, Thorman, Alex, De Bock, M. F. M.   +6 more
openaire   +2 more sources

Optimization of Tree‐Based Machine Learning Models to Predict the Length of Hospital Stay Using Genetic Algorithm

Journal of Healthcare Engineering, Volume 2023, Issue 1, 2023., 2023
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, Masoomeh Zeinalnezhad, Leila Nazarimanesh, Rajesh Kaluri   +3 more
wiley   +1 more source

Data mining in predictive maintenance systems: A taxonomy and systematic review

WIREs Data Mining and Knowledge Discovery, Volume 12, Issue 5, September/October 2022., 2022
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, Amelia Zafra, Sebastián Ventura   +2 more
wiley   +1 more source

Eliminating the high false‐positive rate in defect prediction through BayesNet with adjustable weight

Expert Systems, Volume 39, Issue 6, July 2022., 2022
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, Yawen Wang, Dalin Zhang, Yunzhan Gong   +3 more
wiley   +1 more source