Results 71 to 80 of about 4,253 (208)

Testing and Analysis of Activities of Daily Living Data with Machine Learning Algorithms [PDF]

, 2016
It is estimated that 28% of European Union’s population will be aged 65 or older by 2060. Europe is getting older and this has a high impact on the estimated cost to be spent for older people.
Coskun, A., Coskun, A., Cufoglu, A., Cufoglu, A.   +3 more
core   +1 more source

Spatiotemporal evolution of runaway electrons from synchrotron images in Alcator C-Mod

, 2018
In the Alcator C-Mod tokamak, relativistic runaway electron (RE) generation can occur during the flattop current phase of low density, diverted plasma discharges.
Embréus, O., Granetz, R. S., Hoppe, M., Tinguely, R. A.   +3 more
core   +1 more source

Real-time human ambulation, activity, and physiological monitoring:taxonomy of issues, techniques, applications, challenges and limitations [PDF]

, 2013
Automated methods of real-time, unobtrusive, human ambulation, activity, and wellness monitoring and data analysis using various algorithmic techniques have been subjects of intense research. The general aim is to devise effective means of addressing the
Achumba, Ifeyinwa E., Azzi, Djamel, Bersch, Sebastian D., Khusainov, Rinat   +3 more
core   +2 more sources

Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement [PDF]

مدیریت مهندسی و رایانش نرم, 2023
Early diagnosis of breast cancer plays a crucial role in treating the patient. Nowadays, data mining algorithms can provide intelligent methods in the health and treatment system that accurately detect breast cancer.
Mahboubeh Shamsi, Mohadaseh Karimian, Marziyeh Karimian   +2 more
doaj  

Development of machine learning model for automatic ELM-burst detection without hyperparameter adjustment in KSTAR tokamak

Nuclear Engineering and Technology, 2023
In this study, a neural network model inspired by a one-dimensional convolution U-net is developed to automatically accelerate edge localized mode (ELM) detection from big diagnostic data of fusion devices and increase the detection accuracy regardless ...
Jiheon Song, Semin Joung, Young-Chul Ghim, Sang-hee Hahn, Juhyeok Jang, Jungpyo Lee   +5 more
doaj   +1 more source

Understanding the effect resonant magnetic perturbations have on ELMs

, 2013
All current estimations of the energy released by type I ELMs indicate that, in order to ensure an adequate lifetime of the divertor targets on ITER, a mechanism is required to decrease the amount of energy released by an ELM, or to eliminate ELMs ...
Chapman, I. T., Evans, T. E., Ham, C., Harrison, J. R., Huijsmans, G., Kirk, A., Liang, Y., Liu, Y. Q., Loarte, A., Suttrop, W., Thornton, A. J.   +10 more
core   +1 more source

Scalar mesons in the Nambu--Jona-Lasinio model with 't Hooft interaction [PDF]

, 1998
We calculate the mass spectra of the pseudoscalar and scalar meson nonets in the Nambu--Jona-Lasinio model with the 't Hooft interaction. We obtain satisfactory result for the pseudoscalar mesons.
A. F. Falk, A. I. Vainshtein, A. Rujula De, B. Yu. Blok, C. Itoh, E. V. Shuryak, G. Chew, G. Veneziano, G. ’tHooft, J. Franclin, J. L. Rosner, J.-M. Richard, J.-M. Richard, K. Maltman, L. A. Copley, L. J. Reinders, M. A. Shifman, M. K. Volkov, M. Nagy, N. Isgur, N. Isgur, P. Geiger, Particle Data Group, R. Roncaglia, R. Roncaglia, S. Capstick, S. Godfrey, S. M. Gerasyuta, S. M. Gerasyuta, S. M. Gerasyuta, V. A. Novikov, V. A. Novikov, V. L. Yudichev, V. M. Belyaev, V. V. Anisovich, W. Gelmaster, W. Kwong, W.-Y.P. Hwang   +37 more
core   +3 more sources

Transition in particle transport under resonant magnetic perturbations in a tokamak

Nuclear Fusion, 2023
Nonlinear 3D MHD simulations and validations reveal that the hybrid particle-MHD transport is a key process for driving the pump-out in the presence of Resonant Magnetic Perturbations (RMPs) in the KSTAR tokamak.
S.K. Kim, N.C. Logan, M. Becoulet, M. Hoelzl, Q. Hu, G.T.A. Huijsmans, S.J.P. Pamela, Q. Yu, S.M. Yang, C. Paz-soldan, E. Kolemen, J.-K. Park   +11 more
doaj   +1 more source

A comparative analysis of data mining algorithms to mitigate spurious detections in Gaia [PDF]

, 2017
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2017, Tutora: Francesca FiguerasGaia is an ESA mission that observes about 50 million sources per day.
Pallares Guimera, Esther
core  

Beyond Where to How: A Machine Learning Approach for Sensing Mobility Contexts Using Smartphone Sensors

Sensors, 2015
This paper presents the results of research on the use of smartphone sensors (namely, GPS and accelerometers), geospatial information (points of interest, such as bus stops and train stations) and machine learning (ML) to sense mobility contexts.
Robert E. Guinness
doaj   +1 more source