نتائج البحث - "AlTameem, Abdullah"

1

Report

Critical success factors for m-commerce in Saudi Arabia's private sector -- a multiple case study analysis

المؤلفون: Alturaigi, Norah Suliman, Altameem, Abdullah Abdulaziz

مصطلحات موضوعية: Computer Science - Computers and Society

URL الوصول: http://arxiv.org/abs/1611.00370

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2

Academic Journal

Towards Robust Diagnosis of COVID-19 using Vision Self-attention Transformer

المؤلفون: Mehboob, Fozia, Rauf, Abdul, Jiang, Richard, Saudagar, A.K.J., Malik, Khalid Mahmood, Khan, Muhammad Badruddin, Hasnat, Mozaherul Hoque Abdul, AlTameem, Abdullah, AlKhathami, Mohammed

وصف الملف: text

Relation: https://eprints.lancs.ac.uk/id/eprint/171164/1/17de1ed2_1e86_4ea6_a42c_a48d1a78025e.pdf; Mehboob, Fozia and Rauf, Abdul and Jiang, Richard and Saudagar, A.K.J. and Malik, Khalid Mahmood and Khan, Muhammad Badruddin and Hasnat, Mozaherul Hoque Abdul and AlTameem, Abdullah and AlKhathami, Mohammed (2022) Towards Robust Diagnosis of COVID-19 using Vision Self-attention Transformer. Scientific Reports, 12: 8922. ISSN 2045-2322

الاتاحة: https://eprints.lancs.ac.uk/id/eprint/171164/
https://eprints.lancs.ac.uk/id/eprint/171164/1/17de1ed2_1e86_4ea6_a42c_a48d1a78025e.pdf

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3

Academic Journal

COVID-19 Genome Sequence Analysis for New Variant Prediction and Generation

المؤلفون: Ullah, Amin, Malik, Khalid Mahmood, Saudagar, Abdul Khader Jilani, Khan, Muhammad Badruddin, Hasanat, Mozaherul Hoque Abul, AlTameem, Abdullah, AlKhathami, Mohammed, Sajjad, Muhammad

المصدر: 0 ; 10 ; Mathematics ; 22

وصف الملف: application/pdf

Relation: Mathematics. 2022, 10 (22), .; urn:issn:2227-7390; https://hdl.handle.net/11250/3050876; https://doi.org/10.3390/math10224267; cristin:2086987

الاتاحة: https://hdl.handle.net/11250/3050876
https://doi.org/10.3390/math10224267

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4

Academic Journal

WEENet: An Intelligent System for Diagnosing COVID-19 and Lung Cancer in IoMT Environments

المؤلفون: Muhammad, Khan, Ullah, Hayat, Khan, Zulfiqar Ahmad, Saudagar, Abdul Khader Jilani, AlTameem, Abdullah, AlKhathami, Mohammed, Khan, Muhammad Badruddin, Abul Hasanat, Mozaherul Hoque, Mahmood Malik, Khalid, Hijji, Mohammad, Sajjad, Muhammad

المصدر: 13 ; 11 ; Frontiers in Oncology

وصف الملف: application/pdf

Relation: Frontiers in Oncology. 2022, 11 .; urn:issn:2234-943X; https://hdl.handle.net/11250/3044321; https://doi.org/10.3389/fonc.2021.811355; cristin:2020487

الاتاحة: https://hdl.handle.net/11250/3044321
https://doi.org/10.3389/fonc.2021.811355

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5

Academic Journal

COVID‐DAI: A novel framework for COVID‐19 detection and infection growth estimation using computed tomography images

المؤلفون: Nazir, Tahira, Nawaz, Marriam, Javed, Ali, Malik, Khalid Mahmood, Saudagar, Abdul Khader Jilani, Khan, Muhammad Badruddin, Abul Hasanat, Mozaherul Hoque, AlTameem, Abdullah, AlKathami, Mohammad

المصدر: Microscopy Research and Technique ; volume 85, issue 6, page 2313-2330 ; ISSN 1059-910X 1097-0029

الاتاحة: http://dx.doi.org/10.1002/jemt.24088
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jemt.24088
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/jemt.24088

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6

Academic Journal

Convergence Track Based Adaptive Differential Evolution Algorithm (CTbADE)

المؤلفون: Abbas, Qamar, Mahmood Malik, Khalid, Khader Jilani Saudagar, Abdul, Badruddin Khan, Muhammad, Hoque Abul Hasanat, Mozaherul, AlTameem, Abdullah, AlKhathami, Mohammed

المصدر: Computers, Materials & Continua ; volume 72, issue 1, page 1229-1250 ; ISSN 1546-2226

الاتاحة: http://dx.doi.org/10.32604/cmc.2022.024211
https://www.techscience.com/cmc/v72n1/46884/pdf

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7

Academic Journal

Efficient-ECGNet framework for COVID-19 classification and correlation prediction with the cardio disease through electrocardiogram medical imaging

المؤلفون: Nawaz, Marriam, Nazir, Tahira, Javed, Ali, Malik, Khalid Mahmood, Saudagar, Abdul Khader Jilani, Khan, Muhammad Badruddin, Abul Hasanat, Mozaherul Hoque, AlTameem, Abdullah, AlKhathami, Mohammed

المصدر: Frontiers in Medicine ; volume 9 ; ISSN 2296-858X

الاتاحة: http://dx.doi.org/10.3389/fmed.2022.1005920
https://www.frontiersin.org/articles/10.3389/fmed.2022.1005920/full

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8

Periodical

Cloth-Changing Person Re-Identification With Invariant Feature Parsing for UAVs Applications

المؤلفون: Xiong, Mingfu, Yang, Xinxin, Chen, Hanmei, Aly, Wael Hosny Fouad, AlTameem, Abdullah, Saudagar, Abdul Khader Jilani, Mumtaz, Shahid, Muhammad, Khan

المصدر: IEEE Transactions on Vehicular Technology; September 2024, Vol. 73 Issue: 9 p12448-12457, 10p

9

Academic Journal

Methodological identification of anomalies episodes in ECG streams: a systematic mapping study.

المؤلفون: Iqbal, Uzair, Almakki, Riyad, Usman, Muhammad, Altameem, Abdullah, Albathan, Mubarak, Jilani, Abdul Khader

المصدر: BMC Medical Research Methodology; 6/4/2024, Vol. 24 Issue 1, p1-20, 20p

مصطلحات موضوعية: ELECTROCARDIOGRAPHY, HEART abnormalities, RESEARCH questions, MYOCARDIAL infarction, BLOOD flow

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10

Academic Journal

Covid-transformer: Interpretable covid-19 detection using vision transformer for healthcare

المؤلفون: Shome, Debaditya, Kar, T., Mohanty, Sachi Nandan, Tiwari, Prayag, Muhammad, Khan, Altameem, Abdullah, Zhang, Yazhou, Saudagar, Abdul Khader Jilani

المساهمون: Department of Computer Science, Professorship Marttinen P., Kalinga Institute of Industrial Technology, Vardhaman College of Engineering, Sejong University, Al-Imam Muhammad Ibn Saud Islamic University, Zhengzhoug University of Light Industry, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: COVID-19, Data science, Deep learning, Grad-CAM, Healthcare, Interpretability, Transfer learning, Vision transformer

وصف الملف: application/pdf

Relation: International Journal of Environmental Research and Public Health; Volume 18, issue 21; Shome, D, Kar, T, Mohanty, S N, Tiwari, P, Muhammad, K, Altameem, A, Zhang, Y & Saudagar, A K J 2021, ' Covid-transformer : Interpretable covid-19 detection using vision transformer for healthcare ', International Journal of Environmental Research and Public Health, vol. 18, no. 21, 11086 . https://doi.org/10.3390/ijerph182111086; PURE UUID: 677183be-5598-45a7-bab4-ef7706a08dd3; PURE ITEMURL: https://research.aalto.fi/en/publications/677183be-5598-45a7-bab4-ef7706a08dd3; PURE LINK: http://www.scopus.com/inward/record.url?scp=85117419492&partnerID=8YFLogxK; PURE FILEURL: https://research.aalto.fi/files/69217141/COVID_Transformer.pdf; https://aaltodoc.aalto.fi/handle/123456789/110717; URN:NBN:fi:aalto-202111019892

الاتاحة: https://aaltodoc.aalto.fi/handle/123456789/110717
https://doi.org/10.3390/ijerph182111086

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