Results 21 to 30 of about 4,253 (208)

[Retracted] Cancer Detection and Prediction Using Genetic Algorithms

Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022
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, B. K. Tripathy, Khurram Jawad, Surbhi Bhatia, Mohammad Khalid Imam Rahmani, Arwa Mashat, Muhammad Zubair Asghar   +6 more
wiley   +1 more source

[Retracted] An Image Processing Approach for Detection of Prenatal Heart Disease

BioMed Research International, Volume 2022, Issue 1, 2022., 2022
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, S. John Justin Thangaraj, J. Samson Isaac, T. Benil, K. Muthulakshmi, Hesham S. Almoallim, Sulaiman Ali Alharbi, R. R. Kumar, Sojan Palukaran Thimothy, Yuvaraja Teekaraman   +9 more
wiley   +1 more source

Software Defect Prediction Using Artificial Neural Networks: A Systematic Literature Review

Scientific Programming, Volume 2022, Issue 1, 2022., 2022
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, Nouh Sabri Elmitwally, Sagheer Abbas, Shabib Aftab, Munir Ahmad, Muhammad Fayaz, Faheem Khan, Shah Nazir   +7 more
wiley   +1 more source

Fast-ion redistribution and loss due to edge perturbations in the ASDEX Upgrade, DIII-D and KSTAR tokamaks [PDF]

, 2013
The impact of edge localized modes (ELMs) and externally applied resonant and non-resonant magnetic perturbations (MPs) on fast-ion confinement/transport have been investigated in the ASDEX Upgrade (AUG), DIII-D and KSTAR tokamaks.
Asunta, O., Boom, J., Chen, X., Classen, I.G.J., Dux, R., Evans, T.E., Fietz, S., Fisher, R.K., Fuchs, C., García Muñoz, Manuel, Geiger, B., Hoelzl, M., Igochine, V., Jeon, Y.M., Kim, J., Kim, J.Y., Kurzan, B., Lazanyi, N., Lunt, T., McDermott, R. M., Nocente, M., Pace, D.C., Rhodes, T.L., Rodríguez Ramos, Mauricio, Shinohara, K., Suttrop, W., Viezzer, Eleonora, Willensdorfer, M., Wolfrum, E., Zeeland, M.A. van, Äkäslompolo, S.   +30 more
core   +1 more source

[Retracted] Prediction of Risk Takers in Arterial Hypertension Patients with Data Mining Application

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
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, Fawaz Alassery, Hamurabi Gamboa Rosales   +2 more
wiley   +1 more source

Two-dimensional imaging of edge-localized modes in KSTAR plasmas unperturbed and perturbed by n=1 external magnetic fields [PDF]

, 2019
The temporal evolution of edge-localized modes (ELMs) has been studied using a 2-D electron cyclotron emission imaging system in the KSTAR tokamak.
Domier, CW, Donne, AJH, Jeon, YM, Lee, J, Lee, JH, Luhmann, NC, Min-June Choi, Park, HK, Tobias, B, Woochang Lee, Yoon, SW, Yun, GS   +11 more
core   +1 more source

Status of LHFW research in KSTAR and Future Plan [PDF]

EPJ Web of Conferences
The LHFW research has been conducted on KSTAR after successful feasibility study on VEST. With a newly developed SWA (Slotted Waveguide Antenna) of 2.45 GHz, for the first time LHFW experiment was carried out in the 2024 KSTAR campaign.
Kim Sunho, Jo Jonggab, Wi Hyunho, Kim Jeehyun, Wang Sonjong   +4 more
doaj   +1 more source

Estimation of the neutron production of KSTAR based on empirical scaling law of the fast ion stored energy and ion density under NBI power and machine size upgrade

Nuclear Engineering and Technology, 2022
Deuterium-tritium reaction is the most promising one in term of the highest nuclear fusion cross-section for the reactor. So it is one of urgent issues to develop materials and components that are simultaneously resistant to high heat flux and high ...
Jong-Gu Kwak, S.C. Hong
doaj   +1 more source

A Music Curriculum Integration and Reconstruction Model Based on Advanced Iterative Reconstruction Algorithm

Scientific Programming, Volume 2022, Issue 1, 2022., 2022
Music curriculum fusion and super‐resolution reconstruction based on musical elements have gradually attracted the attention of researchers. The traditional music element fusion and reconstruction algorithm is based on the fusion and reconstruction of all the pixel information of the source music element, which has the problem of high time and space ...
Qin Zeng, Sheng Bin
wiley   +1 more source

Machine Learning-Based Elastic Cloud Resource Provisioning in the Solvency II Framework [PDF]

, 2016
The Solvency II Directive (Directive 2009/138/EC) is a European Directive issued in November 2009 and effective from January 2016, which has been enacted by the European Union to regulate the insurance and reinsurance sector through the discipline of ...
Casarano, Giuseppe, Castellani, Gilberto, Ciciani, Bruno, La Rizza, Andrea, Passalacqua, Luca, Pellegrini, Alessandro   +5 more
core   +2 more sources