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Stock Market Bubbles and their Determinants: An Empirical Investigation on the Developing Economies by
Material type: Text; Format:
print
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Not fiction
Publication details: COMSATS University Islamabad, Lahore Campus Library Information Services, CUI Lahore 2024
Dissertation note: To fullfill the requirement of the degree MS 2023 Management sciences COMSATS University Islamabad, Lahore campus FA19-RMS-017
Availability: Items available for reference: COMSATS University Lahore Campus: Not for loan (1)Call number: 658.049.
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Identifying disparity between user text reviews and numeric ratings by using the hybrid cnn-bilstm approach / Ifrah Ikram. [Thesis or Dissertation] by
Material type: Text Language: English
Publication details: Islamabad : COMSATS University Islamabad, 2022
Dissertation note: Thesis A Post Graduate thesis submitted to the department of Computer Science as partial fulfillment of the requirement for the award of degree of MS Computer Science. External Examiner: Malik Skindar Hayat, Dr. Prof, Computer Science, Preston University, Islamabad. COMSATS University Islamabad
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: T 004 IKR-I 12188. Items available for reference: Junaid Zaidi Library, COMSATS University Islamabad: Not for loan (1)Call number: T 004 IKR-I 12188.
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Enabling efficient DDos detection and mitigation in SDN using flexible network monitoring framework / Hameed Ali. [Thesis or Dissertation] by
Material type: Text Language: English
Publication details: Islamabad : COMSATS University Islamabad, 2021
Dissertation note: A Post Graduate thesis submitted to the department of Computer Science as a partial fulfillment of the requirement for the award of degree of MS Information Security.External Examiner: Muhammad Hasan Islam, Dr. AP, Computer and Software Engineering, EME College, Rawalpindi. COMSATS University Islamabad
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: T 004 ALI-E 11301.
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Comparing prediction accuracy of student loan default using machine learning / Aqsa Naz. [Thesis or Dissertation] by
Material type: Text Language: English
Publication details: Islamabad : COMSATS University Islamabad, 2020
Dissertation note: A Post Graduate thesis submitted to the department of Management Sciences as a partial fulfillment of the requirement for the award of degree of MS in Management Sciences (Finance)..External Examiner: Usman Mustafa, Dr. Prof, Business Studies, (PIDE) Quaid e Azam University Islamabad. COMSATS University Islamabad
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: T 658 NAZ-C 10215.
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