Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kamal. M. Ali"'
Publikováno v:
Journal of Radiation and Nuclear Applications. 3:191-197
Autor:
Burak Yahya Kadem, Kareem K. Mohammad, Munaf S. Majeed, Kamal. M. Ali, Hussain A. Badran, R. K. Fakher Alfahed
Publikováno v:
Journal of Physics: Conference Series. 1279:012019
Polyvinyl alcohol (PVA) has been prepared as a films with different volume ratios of titanium dioxide (TiO2). Atomic force microscope (AFM) was used to test morphology and grain size of the specimen surfaces. The results revealed that the surface rou
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining tech
Autor:
R. K. Fakher Alfahed, Kareem K. Mohammad, Munaf S. Majeed, Hussain Ali Badran, Kamal M. Ali, Burak Yahya Kadem
Publikováno v:
Journal of Physics: Conference Series; 2019, Vol. 1279 Issue 1, p1-1, 1p
Autor:
Borgnat, Pierre, Flandrin, Patrick, Richard, Cédric, Ferrari, André, Amoud, Hassan, Honeine, Paul
Publikováno v:
Advances in Machine Learning and Data Mining for Astronomy
Michael J. Way; Jeffrey D. Scargle; Kamal M. Ali; Ashok N. Srivstava. Advances in Machine Learning and Data Mining for Astronomy, Chapman & Hall; CRC Press, pp.487-503, 2012, 978-1-4398-4173-0
Michael J. Way; Jeffrey D. Scargle; Kamal M. Ali; Ashok N. Srivstava. Advances in Machine Learning and Data Mining for Astronomy, Chapman & Hall; CRC Press, pp.487-503, 2012, 978-1-4398-4173-0
International audience; Testing stationarity is an important issue in signal analysis and classification. Recently, time-frequency analysis has been investigated to detect the nonstationarity of a given signal, by constructiing from it a set of surro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6f2e0cdc8088cf7872293df67196b279
https://ens-lyon.hal.science/ensl-02967833
https://ens-lyon.hal.science/ensl-02967833