يعرض 1 - 10 نتائج من 517 نتيجة بحث عن '"Shah, Noor"', وقت الاستعلام: 0.87s تنقيح النتائج
  1. 1
    مؤتمر
    Proteins Classification Using An Improve Darknet-53 Deep Learning Model

    المؤلفون: Nisar, Dur-e-Maknoon, Mahum, Rabbia, Azim, Tabinda, Shah, Noor-ul-huda

    المصدر: 2022 Mohammad Ali Jinnah University International Conference on Computing (MAJICC) Computing (MAJICC), 2022 Mohammad Ali Jinnah University International Conference on. :1-6 Oct, 2022

    Relation: 2022 Mohammad Ali Jinnah University International Conference on Computing (MAJICC)

    أضف إلى المفضلة
  2. 2
    دورية أكاديمية
    Appraisal of piped water quality supplied to Liaquatabad Town, Karachi by using Water Quality Index and Geospatial Assessment

    المؤلفون: Aamir Alamgir, Noor Fatima, Shah Noor Khan, Aliza Naseer, Aliza Khan, Muhammad Noman Siddiqui, Fahim Jafri

    المصدر: EQA, Vol 62, Pp 55-68 (2024)

    مصطلحات موضوعية: piped water, wqi, metals, contamination, karachi, Environmental pollution, TD172-193.5

    وصف الملف: electronic resource

    Relation: https://eqa.unibo.it/article/view/19413; https://doaj.org/toc/2039-9898; https://doaj.org/toc/2281-4485

    URL الوصول: https://doaj.org/article/b6b102f388974e9294a191476d543338

    Full Text Finder
    أضف إلى المفضلة
  3. 3
    دورية أكاديمية
    Chromium removal from aqueous solution using bimetallic Bi0/Cu0-based nanocomposite biochar

    المؤلفون: Murtaza, BehzadAff1, IDs10653023016308_cor1, Naseer, Aqsa, Imran, Muhammad, Shah, Noor S., Al-Kahtani, Abdullah A., ALOthman, Zeid A., Shahid, Muhammad, Iqbal, Jibran, Abbas, Ghulam, Natasha, Natasha, Amjad, Muhammad

    المصدر: Environmental Geochemistry and Health: Official Journal of the Society for Environmental Geochemistry and Health. 45(12):9003-9016

    Find this article in full text from Springer Verlag. Full Text Finder
    أضف إلى المفضلة
  4. 4
    دورية أكاديمية
    Comparison of As removal efficiency and health risks from aqueous solution using as-synthesized Fe0 and Cu0: modelling, kinetics and reusability

    المؤلفون: Murtaza, Behzad, Ali, Asad, Imran, Muhammad, Al-Kahtani, Abdullah A., ALOthman, Zeid A., Natasha, Natasha, Shahid, MuhammadAff1, IDs10653023015896_cor7, Shah, Noor S., Naeem, Muhammad Asif, Ahmad, Sajjad, Murtaza, Ghulam

    المصدر: Environmental Geochemistry and Health: Official Journal of the Society for Environmental Geochemistry and Health. 45(12):8989-9002

    Find this article in full text from Springer Verlag. Full Text Finder
    أضف إلى المفضلة
  5. 5
    دورية أكاديمية
    Exogenous Effect of Sugar Beet Extract On Physio-biochemical Traits of Hordeum vulgare L. Under Induced Salinity Stress

    المؤلفون: Shah, Noor Ali, Ullah, Sami, Nafees, MuhammadAff1, IDs10343023008945_cor3, Khan, Muhammad Nauman

    المصدر: Gesunde Pflanzen: Pflanzenschutz - Verbraucherschutz - Umweltschutz. 75(6):2655-2667

    Find this article in full text from Springer Verlag. Full Text Finder
    أضف إلى المفضلة
  6. 6
    دورية أكاديمية
    Assessment of heavy metals and its treatment through phytoremediation in groundwater along River Kabul in district Charsadda

    المؤلفون: Shehryar Khan, Masroor Kamal, Shah Noor, Syes Muhammad Afzal

    المصدر: Frontiers in Environmental Science, Vol 12 (2024)

    مصطلحات موضوعية: aquatic plant, heavy metals, groundwater, phytoremediation, wastewater, Environmental sciences, GE1-350

    وصف الملف: electronic resource

    Relation: https://www.frontiersin.org/articles/10.3389/fenvs.2024.1392892/full; https://doaj.org/toc/2296-665X

    URL الوصول: https://doaj.org/article/a33a58dbfd59436380a6007955b33925

    Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  7. 7
    دورية أكاديمية
    Precision Agriculture Through Deep Learning: Tomato Plant Multiple Diseases Recognition With CNN and Improved YOLOv7

    المؤلفون: Muhammad Umar, Saud Altaf, Shafiq Ahmad, Haitham Mahmoud, Adamali Shah Noor Mohamed, Rashid Ayub

    المصدر: IEEE Access, Vol 12, Pp 49167-49183 (2024)

    مصطلحات موضوعية: Tomato leaf diseases detection, YOLOv7, image classification, convolutional neural network, SIFT, feature extraction, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/10485406/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/f1ed427486fa44e4af8fae822a19bf46

    Full Text Finder
    أضف إلى المفضلة
  8. 8
    دورية أكاديمية
    Broyden's method assisted differential evolution (BMADE) based selective harmonic elimination in a cascaded H‐bridge multilevel inverter

    المؤلفون: Mohd Ahsan, Shafiq Ahmad, Adil Sarwar, Mohd Tariq, Farhad Ilahi Bakhsh, Adamali Shah Noor Mohamed, Hafiz Ahmed

    المصدر: IET Power Electronics, Vol 16, Iss 14, Pp 2336-2355 (2023)

    مصطلحات موضوعية: DC–AC power convertors, genetic algorithms, harmonic analysis, harmonic distortion, harmonics suppression, Electronics, TK7800-8360

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1755-4535; https://doaj.org/toc/1755-4543

    URL الوصول: https://doaj.org/article/b6002e2a182f46f885640cf6a5bf6ee1

    View record at Wiley Full Text Finder
    أضف إلى المفضلة
  9. 9
    دورية أكاديمية
    Design and synthesis of novel dihydropyridine- and benzylideneimine-based tyrosinase inhibitors

    المؤلفون: Ifraz Ahmad, Warda Parveen, Shah Noor, Zahoor Udin, Amjad Ali, Ijaz Ali, Riaz Ullah, Hamid Ali

    المصدر: Frontiers in Pharmacology, Vol 15 (2024)

    مصطلحات موضوعية: tyrosinase inhibitors, tyrosine kinase, skin care, antibrowning, anticancer, amlodipine, Therapeutics. Pharmacology, RM1-950

    وصف الملف: electronic resource

    Relation: https://www.frontiersin.org/articles/10.3389/fphar.2024.1332184/full; https://doaj.org/toc/1663-9812

    URL الوصول: https://doaj.org/article/102f94a903af4fe0aaa56e13836c7821

    Full Text Finder
    أضف إلى المفضلة
  10. 10
    دورية أكاديمية
    Enhancing sign language recognition using CNN and SIFT: A case study on Pakistan sign language

    المؤلفون: Sadia Arooj, Saud Altaf, Shafiq Ahmad, Haitham Mahmoud, Adamali Shah Noor Mohamed

    المصدر: Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 2, Pp 101934- (2024)

    مصطلحات موضوعية: Pakistan sign language, Urdu Alphabets, Hand gesture recognition, CNN, SIFT, Electronic computers. Computer science, QA75.5-76.95

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S1319157824000235; https://doaj.org/toc/1319-1578

    URL الوصول: https://doaj.org/article/3080a2dce71f4df4a472c4ae8dfffafa

    View record from ScienceDirect Full Text Finder
    أضف إلى المفضلة
أدوات البحث: أحصل على تغذية RSS – أرسل هذا البحث بالبريد الإلكتروني – حفظ البحث – جدول التنبيهات: لا شيء