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1.
Weakly supervised pixel-level tuberculosis detection form chest x-ray with deep learning / Zeeshan Nisar. [Thesis or Dissertation] by
Material type: Text Text
Language: English
Publication details: Islamabad : COMSATS University Islamabad, 2019
Dissertation note: COMSATS University Islamabad
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: T 004 NIS-W 8439.

2.
Video compression using hevc and deep learning for smart cities / Asma Zahra. [Thesis or Dissertation] by
Material type: Text Text
Language: English
Publication details: Islamabad : COMSATS University Islamabad, 2020
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 Computer Science.External Examiner: Sajid Anwar, Dr. Assoc Prof, Institute of management sciences, Peshawar. COMSATS University Islamabad
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: T 004 ZAH-V 10310. Items available for reference: Junaid Zaidi Library, COMSATS University Islamabad: Not for loan (1)Call number: T 004 ZAH-V 10310.

3.
Robust seizure detection from EEG signal using deep learning / Muhammad Asad Zaheer. [Thesis or Dissertation] by
Material type: Text Text
Language: English
Publication details: Islamabad : COMSATS University Islamabad, 2020
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 Computer Science.External Examiner: Sajid Anwar, Dr. AP, IT, Institute of Management Sciences, Peshawar. COMSATS University Islamabad
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: T 004 ZAH-R 11003.

4.
Lung cancer nodule detection using multi-view recurrent neural networks / Muhammad Naeem Abid. [Thesis or Dissertation] by
Material type: Text Text
Language: English
Publication details: Islamabad : COMSATS University Islamabad, 2019
Dissertation note: COMSATS University Islamabad
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: T 004 ABI-L 8704.

5.
Hight efficiency video coding based surgical telementoring system using deep learning / Ali Hassan. [Thesis or Dissertation] by
Material type: Text Text
Language: English
Publication details: Islamabad : COMSATS University Islamabad, 2019
Dissertation note: COMSATS University Islamabad
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: T 004 HAS-S 8713.

6.
Generative adversarial networks for enhancing low dose CT scan / Saqib Nazir. [Thesis or Dissertation] by
Material type: Text Text
Language: English
Publication details: Islamabad : COMSATS University Islamabad, 2019
Dissertation note: COMSATS University Islamabad
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: T 004 NAZ-G 10100.

7.
Attention based convolutional neural networks for crack detection in composite material / Khadija Ambreen. [Thesis or Dissertation] by
Material type: Text Text
Language: English
Publication details: Islamabad : COMSATS University Islamabad, 2020
Dissertation note: 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: Imtiaz Ahmad Taj, Dr. Prof, Faculty of Engineering, CUST Islamabad. COMSATS University Islamabad
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: T 004 AMB-A 10300.

8.
Adversarial logic networks / Abdul Saboor. [Thesis or Dissertation] by
Material type: Text Text
Language: English
Publication details: Islamabad : COMSATS University Islamabad, 2019
Dissertation note: COMSATS University Islamabad
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: T 004 SAB-A 10102.

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