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18篇 您的检索式:作者名="AlAngari"
    题名 作者 年代 出处 被引量
1Corticosteroids in the treatment of acuteasthma显示文摘Alangari AA 2014Ann Thorac Med2014,9,4:1
2Herpes simplex encephalitis in children with autosomal recessive and dominant TRIF deficiency显示文摘Sancho-Shimizu Vanessa de Diego Rebeca Pérez Lorenzo Lazaro Halwani Rabih Alangari Abdullah Israelsson Elisabeth Fabrega Sylvie Cardon Annabelle Maluenda Jerome Tatematsu Megumi Mahvelati Farhad Herman Melina Ciancanelli Michael Guo Yiqi AlS 2011Journal of Clinical Investigation2011,,12:1
3Budesonide nebulization added to systemic prednisolone in the treatment of acute asthma in children: a double-blind, randomized, controlled trial显示文摘Alangari AA Malhis N Mubasher M 2014Chest2014,145,4:1
4Anaphylaxis tolidocaine with tolerance to articaine in a 12 year old girl显示文摘Al-Dosary K A1-Qahtani A Alangari A 2014Saudi Pharm J2014,22,3:1
5Budesonide Nebulization Added to Systemic Prednisolone in the Treatment of Acute Asthma in Children显示文摘Abdullah A. Alangari Nidal Malhis Mohamed Mubasher Najwa Al-Ghamedi Mohamad Al-Tannir Muhammad Riaz Dale T. Umetsu Saleh Al-Tamimi 2014Chest2014,,4:1
6Genomic and non-genomic actions of glucoeorticoids in asthma显示文摘Alangari AA 2010Ann Thorac Med2010,5,3:1
7On the structural and magnetic properties of La-substituted NiCuZn ferrites prepared using egg-white显示文摘M.A. Gabal Abdullah M. Asiri Y.M. AlAngari 2011Ceramics International2011,,7:1
8The effect of sand storms on acuteasthma in Riyadh, Saudi Arabia显示文摘Alangari AA Riaz M Mahjoub MO 2015Ann Thorac Med2015,10,1:1
9Genomic and non-genomic actions of glucocort-icoids in asthma显示文摘Alangari AA 2010Ann Thorac Med2010,5,3:1
10Genomie and non-genomic actions of glueocorticoids in asthma显示文摘Alangari AA 2010Ann Thorae Med2010,5,3:1
11LPS-responsive beige-like anchor ( LRBA ) gene mutation in a family with inflammatory bowel disease and combined immunodeficiency显示文摘Abdullah Alangari Abdulrahman Alsultan Nouran Adly Michel J. Massaad Iram Shakir Kiani Abdulrahman Aljebreen Emad Raddaoui Abdul-Kareem Almomen Saleh Al-Muhsen Raif S. Geha Fowzan S. Alkuraya 2012The Journal of Allergy and Clinical Immunology2012,,2:1
12LPS-responsive beige-like anchor (LRBA) gene mutation in a family with inflammatory bowel disease and combined immunodeficiency 显示文摘Alangari A Alsultan A Adly N 2012J Allergy Clin Immunol2012,130,2:1
13Genomie and non-genomie actions of glueocorticoids in asthma显示文摘Alangari AA 2010Ann Thorae Med2010,5,3:1
14Genomic and non-genomic actions of glucocnrticoids in asthma 显示文摘Alangari A A 2010Ann Thorac Med2010,5,3:1
15Genomic and non-genomic actions of glucocorticoids in asthma显示文摘ALANGARI A A 2010Ann Thorac Med2010,5,3:1
16Differential release and clearance of mast cell and basophil mediators in the upper airways of patients with allergic rhinitis显示文摘Alangari A Lau LC Zhou XY Mochizuki A Salagean EM Salib RJ 2008J Allergy Clin Immunol2008,121,2:1
17Budesonide nebulization added to systemic prednisolone in the treatment of acute asthma in children:a double-blind,randomized,controlled trial显示文摘Alangari A A Malhis N Mubasher M 2014Chest2014,145,4:1
18Machine Learning Based Cybersecurity Threat Detection for Secure IoT Assisted Cloud Environment显示文摘The Internet of Things(IoT)is determine enormous economic openings for industries and allow stimulating innovation which obtain between domains in childcare for eldercare,in health service to energy,and in developed to transport.Cybersecurity develops a difficult problem in IoT platform whereas the presence of cyber-attack requires that solved.The progress of automatic devices for cyber-attack classifier and detection employing Artificial Intelligence(AI)andMachine Learning(ML)devices are crucial fact to realize security in IoT platform.It can be required for minimizing the issues of security based on IoT devices efficiently.Thus,this research proposal establishes novel mayfly optimized with Regularized Extreme Learning Machine technique called as MFO-RELM model for Cybersecurity Threat classification and detection fromthe cloud and IoT environments.The proposed MFORELM model provides the effective detection of cybersecurity threat which occur in the cloud and IoT platforms.To accomplish this,the MFO-RELM technique pre-processed the actual cloud and IoT data as to meaningful format.Besides,the proposed models will receive the pre-processing data and carry out the classifier method.For boosting the efficiency of the proposed models,theMFOtechnique was utilized to it.The experiential outcome of the proposed technique was tested utilizing the standard CICIDS 2017 dataset,and the outcomes are examined under distinct aspects.Z.Faizal Khan Saeed M.Alshahrani Abdulrahman Alghamdi Someah Alangari Nouf Ibrahim Altamami Khalid A.Alissa Sana Alazwari Mesfer Al Duhayyim Fahd N.Al-Wesabi 2023Computer Systems Science & Engineering2023,47,10:0
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