Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Khaoula Briki"'
Autor:
Mudasser Husain, Abd Ullah, Ali Algahtani, Vineet Tirth, Tawfiq Al-Mughanam, Abdulaziz H. Alghtani, Nourreddine Sfina, Khaoula Briki, Hind Albalawi, Mohammed A. Amin, Ahmed Azzouz-Rached, Nasir Rahman
Publikováno v:
Crystals, Vol 13, Iss 1, p 140 (2023)
Prediction of new materials is crucial for the advancement of technology. Here, in this research work, the first-principle computation has been conducted utilizing the WIEN2K package to probe the structural, electronic, mechanical, and optical proper
Externí odkaz:
https://doaj.org/article/e2881d777d864d00adada901f454e233
Autor:
Malek Alzaqebah, PhD, Khaoula Briki, Nashat Alrefai, Sami Brini, Sana Jawarneh, Mutasem K. Alsmadi, Rami Mustafa A. Mohammad, Ibrahim ALmarashdeh, Fahad A. Alghamdi, Nahier Aldhafferi, Abdullah Alqahtani
Publikováno v:
Informatics in Medicine Unlocked, Vol 24, Iss , Pp 100572- (2021)
Cancer prediction has been shown to be important in the cancer research area. This importance has prompted many researchers to review machine learning-approaches to predict cancer outcome using gene expression dataset. This dataset consists of many g
Externí odkaz:
https://doaj.org/article/11d5e5265719490184c78755f73fc3bb
Autor:
Essam Kotb, Noureddine Ouerfelli, Naouel Zrelli, Khaoula Briki, Asmaa Ahmed, Mohammed Medhat, Hassan Elsayed, Mohamed El-Kassas
Publikováno v:
Bulletin of Pharmaceutical Sciences. Assiut. 45:775-788
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26e49101657eecc3fcccaffd384a3dd9
https://doi.org/10.21608/bfsa.2022.271639
https://doi.org/10.21608/bfsa.2022.271639
Autor:
Noureddine Ouerfelli, Okanta Dade Gifty, Khaoula Briki, Teku Emmanuel, Joseph Otoo, Oduro Okyireh Theodore, Osei Asibey Eunice, Nyarko Christiana Cynthia, Acquah Joseph, Bosson-Amedenu Senyefia
Publikováno v:
Annual Research & Review in Biology. :7-26
There is an ongoing investigation on the transmission characteristics of COVID-19 with respect to country-based inflection points, nature of distribution and prediction of future trends. In this study, a new accelerated and delayed spread models for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05211123b0270c7a645c6bd202e92870
https://doi.org/10.9734/arrb/2021/v36i1230459
https://doi.org/10.9734/arrb/2021/v36i1230459
Autor:
Mutasem Khalil Alsmadi, Malek Alzaqebah, Sana Jawarneh, Sami Brini, Ibrahim Al-Marashdeh, Khaoula Briki, Nashat Alrefai, Fahad Ali Alghamdi, Maen T. Al-Rashdan
Publikováno v:
International Journal of Electrical and Computer Engineering (IJECE). 12:4315
Feature selection problem is concerned with searching in a dataset for a set of features aiming to reduce the training time and enhance the accuracy of a classification method. Therefore, feature selection algorithms are proposed to choose important
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a507d819f0878f5caf0cff9d0977fef
https://doi.org/10.11591/ijece.v12i4.pp4315-4326
https://doi.org/10.11591/ijece.v12i4.pp4315-4326
Autor:
Taher Ghrib, Nouf K. AL-Saleem, Aishah AL-Naghmaish, Abdelhafeez A. Elshekhipy, Sami Brini, Khaoula Briki, Khaled A. Elsayed
Publikováno v:
Micro and Nanostructures. 164:107119
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::816678f6f59f49b90d3d41c6ba91f87d
https://doi.org/10.1016/j.spmi.2021.107119
https://doi.org/10.1016/j.spmi.2021.107119
Autor:
Sana Jawarneh, Mutasem K. Alsmadi, Nahier Aldhafferi, Fahad A. Alghamdi, Ibrahim Almarashdeh, Khaoula Briki, Malek Alzaqebah, Sami Brini, Nashat Alrefai, Rami Mustafa A. Mohammad, Abdullah Alqahtani
Publikováno v:
Informatics in Medicine Unlocked, Vol 24, Iss, Pp 100572-(2021)
Cancer prediction has been shown to be important in the cancer research area. This importance has prompted many researchers to review machine learning-approaches to predict cancer outcome using gene expression dataset. This dataset consists of many g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dfa0e121675b58b384eed2e600c183a
https://doi.org/10.1016/j.imu.2021.100572
https://doi.org/10.1016/j.imu.2021.100572