المؤلفون: Khan, Muhammad Ajmal

المصدر: The Pakistan Development Review, 2024 Jan 01. 63(1), 111-122.

الوصول الحر: https://www.jstor.org/stable/27293367Test

المؤلفون: Butt, Bisma (ORCID 0000-0001-8527-8420), Khan, Muhammad Ajmal (ORCID 0000-0003-1475-6653), Mahmood, Saqib, Hamid, Abdul (ORCID 0000-0001-8230-7492), Hussain, Aadila (ORCID 0000-0001-8738-7807)

المصدر: Eurasian Journal of Applied Linguistics. 2021 7(2):1-21.

تمت مراجعته من قبل الزملاء: Y

المؤلفون: Raza, Sajjad, Irshad, Annie, Margenot, Andrew, Zamanian, Kazem, Li, Nan, Ullah, Sami, Mehmood, Khalid, Khan, Muhammad Ajmal, Siddique, Nadeem, Zhou, Jianbin, Mooney, Sacha J, Kurganova, Irina, Zhao, Xiaoning, Kuzyakov, Yakov

مصطلحات موضوعية: Carbon stocks, Climate change, CO2 emission, Soil inorganic carbon, Carbon sequestration, Soil organic carbon, Bibliometric analysis

العلاقة: https://nottingham-repository.worktribe.com/output/31606232Test; Geoderma; Volume 443; https://nottingham-repository.worktribe.com/file/31606232/1/SIC-SOC%20Bibliometric%20Manuscript%20%28Clean%20Copy%29Test

الإتاحة: https://doi.org/10.1016/j.geoderma.2024.116831Test
https://nottingham-repository.worktribe.com/file/31606232/1/SIC-SOC%20Bibliometric%20Manuscript%20%28Clean%20Copy%29Test
https://nottingham-repository.worktribe.com/output/31606232Test

المؤلفون: Sattar, Shoaib, Mumtaz, Rafia, Qadir, Mamoon, Mumtaz, Sadaf, Khan, Muhammad Ajmal, De Waele, Timo, De Poorter, Eli, Moerman, Ingrid, Shahid, Adnan

المصدر: SENSORS ; ISSN: 1424-8220

مصطلحات موضوعية: Technology and Engineering, ECG classification, deep learning, digitization, arrhythmia, self-supervised learning, CONVOLUTIONAL NEURAL-NETWORKS

وصف الملف: application/pdf

العلاقة: https://biblio.ugent.be/publication/01HX6K8THCT2VH75V7YCSPQ2V4Test; http://hdl.handle.net/1854/LU-01HX6K8THCT2VH75V7YCSPQ2V4Test; http://doi.org/10.3390/s24082484Test; https://biblio.ugent.be/publication/01HX6K8THCT2VH75V7YCSPQ2V4/file/01HX6KB2BA9S0618GBE1WA76J3Test

الإتاحة: https://doi.org/10.3390/s24082484Test
https://biblio.ugent.be/publication/01HX6K8THCT2VH75V7YCSPQ2V4Test
http://hdl.handle.net/1854/LU-01HX6K8THCT2VH75V7YCSPQ2V4Test
https://biblio.ugent.be/publication/01HX6K8THCT2VH75V7YCSPQ2V4/file/01HX6KB2BA9S0618GBE1WA76J3Test

المؤلفون: Talib, Shamraiz Hussain, Bashir, Beenish, Khan, Muhammad Ajmal, Ali, Babar, Mohamed, Sharmarke, Qurashi, Ahsanulhaq, Li, Jun

المساهمون: National Natural Science Foundation of China

المصدر: ENERGY & ENVIRONMENTAL MATERIALS ; ISSN 2575-0356 2575-0356

الإتاحة: https://doi.org/10.1002/eem2.12723Test

المؤلفون: Alqathami, Mamdouh Saud, Khan, Muhammad Ajmal, Yoosuf, Ahamed Badusha Mohamed

المصدر: Frontiers in Oncology ; volume 14 ; ISSN 2234-943X

الإتاحة: https://doi.org/10.3389/fonc.2024.1370059Test

المؤلفون: Gul, Lubna, Imtiaz, Salma, Munir, Salman, Munir, Majid, Khan, Muhammad Ajmal

المصدر: Mehran University Research Journal of Engineering and Technology. 40(2):346-357

مصطلحات موضوعية: Traceability Techniques, Hybrid Approach, Impact Analysis, Experiment, Evaluation

وصف الملف: electronic

الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-41956Test
https://doi.org/10.22581/muet1982.2102.09Test
https://miun.diva-portal.org/smash/get/diva2:1548110/FULLTEXT01.pdfTest

المؤلفون: Qutab, Saima, Iqbal, Abid, Ullah, Farasat Shafi, Siddique, Nadeem, Khan, Muhammad Ajmal

المصدر: Library Management, 2022, Vol. 43, Issue 5, pp. 317-333.

الوصول الحر: http://www.emeraldinsight.com/doi/10.1108/LM-02-2021-0017Test

المؤلفون: Siddique, Nadeem, Rehman, Shafiq Ur, Ahmad, Shakil, Mahmood, Khalid, Khan, Muhammad Ajmal, Adil, Hafiz Muhammad, Iqbal, Abid, Altaf, Asif

المصدر: SAGE Open ; volume 13, issue 4 ; ISSN 2158-2440 2158-2440

مصطلحات موضوعية: General Social Sciences, General Arts and Humanities

الإتاحة: https://doi.org/10.1177/21582440231207188Test

المؤلفون: Shafi, Uferah, Mumtaz, Rafia, Anwar, Zahid, Ajmal, Muhammad Muzyyab, Khan, Muhammad Ajmal, Mahmood, Zahid, Qamar, Maqsood, Jhanzab, Hafiz Muhammad

المساهمون: IoT Laboratory, School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan, The Sheila and Robert Challey Institute of Global Innovation and Growth, North Dakota State University (NDSU), USA, in collaboration with the National Agriculture Research Centre (NARC), Islamabad, National Center for Artificial Intelligence (NCAI), Islamabad

المصدر: IEEE Access ; volume 11, page 108640-108657 ; ISSN 2169-3536

مصطلحات موضوعية: General Engineering, General Materials Science, General Computer Science, Electrical and Electronic Engineering

الإتاحة: https://doi.org/10.1109/access.2023.3321020Test
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10267965.pdf?arnumber=10267965Test