نتائج البحث - "Bader Alazzam, Malik"

المصدر: Artificial Intelligence on Medical Data ; Lecture Notes in Computational Vision and Biomechanics ; page 243-251 ; ISSN 2212-9391 2212-9413 ; ISBN 9789811901508 9789811901515

الاتاحة: http://dx.doi.org/10.1007/978-981-19-0151-5_21
https://link.springer.com/content/pdf/10.1007/978-981-19-0151-5_21

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8

Academic Journal

Optimal cluster head selection for energy efficient wireless sensor network using hybrid competitive swarm optimization and harmony search algorithm

المؤلفون: Kumar, Anil, mehbodniya, Abolfazl, Webber, Julian L., Anul Haq, Mohd, Gola, Kamal Kumar, Singh, Pritpal, Karupusamy, Sathishkumar, Bader Alazzam, Malik

المساهمون: Taif University

المصدر: Sustainable Energy Technologies and Assessments ; volume 52, page 102243 ; ISSN 2213-1388

الاتاحة: http://dx.doi.org/10.1016/j.seta.2022.102243
https://api.elsevier.com/content/article/PII:S2213138822002958?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S2213138822002958?httpAccept=text/plain

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9

Academic Journal

Machine Learning of Medical Applications Involving Complicated Proteins and Genetic Measurements.

المؤلفون: Bader Alazzam, Malik, Mansour, Hoda, Hammam, Mohamed M., Alsheikh, Said, Bakir, Ali, Alghamdi, Saeed, AlGhamdi, Ahmed S.

المصدر: Computational Intelligence & Neuroscience; 12/21/2021, Vol. 2021, p1-6, 6p

مصطلحات موضوعية: MACHINE learning, ARTIFICIAL intelligence, DEVELOPED countries, FEATURE extraction, CANCER-related mortality

الشركة/الكيان: WORLD Health Organization

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10

Academic Journal

Dynamic Systems Enhanced by Electronic Circuits on 7D.

المؤلفون: Abdullah Hamad, Abdulsattar, Lellis Thivagar, M., Bader Alazzam, Malik, Alassery, Fawaz, Mahmood Khalil, Muayyad, Ramesh, V., Meraf, Zelalem, Kumar, Vishal

المصدر: Advances in Materials Science & Engineering; 12/15/2021, p1-11, 11p

مصطلحات موضوعية: DYNAMICAL systems, ELECTRONIC circuits, ELECTRONIC systems, LYAPUNOV functions, SYNCHRONIZATION, HYBRID systems

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11

Academic Journal

Classification of Big Data: Machine Learning Problems and Challenges in Network Intrusion Prediction

المؤلفون: Mohammad Al-Sharo, Yasser, Shakah, Ghazi, Sh.Alkhaswneh, Mutasem, Zeyad Aljunaeidi, Bajes, Bader Alazzam, Malik

المصدر: International Journal of Engineering & Technology; Vol 7, No 4.36 (2018): Special Issue 36; 1189-1193 ; 2227-524X ; 10.14419/ijet.v7i4.36

مصطلحات موضوعية: Big Data, machine learning, Hadoop distributed file systems, encroachment discovery

وصف الملف: application/pdf

Relation: https://www.sciencepubco.com/index.php/ijet/article/view/25381/12946; https://www.sciencepubco.com/index.php/ijet/article/view/25381

الاتاحة: https://www.sciencepubco.com/index.php/ijet/article/view/25381
https://doi.org/10.14419/ijet.v7i4.36.25381

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