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Residual coding for LF reconstruction schemes using deep learning methods / Aon Ali Naqvi. [Thesis or Dissertation]

By:

Naqvi, Syed Aon Ali [SP18-RCS-033/ISB]

Material type: Text

TextLanguage: English Publication details: Islamabad : COMSATS University Islamabad, 2020.Description: xii, 48 pages : illustrations ; 30 cm + 1 CD-ROM (4 3/4 in.)Subject(s):

Genre/Form:

Computer Science

DDC classification:

004 NAQ-R

Other classification:

004 NAQ-R

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

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Holdings
Item type	Current library	Collection	Call number	URL	Copy number	Status	Notes	Date due	Barcode	Item holds
Thesis or Dissertation	Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor	Thesis or Dissertation	T 004 NAQ-R 10957 (Browse shelf(Opens below))	Link to resource	1	Available	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.		10001TP0010957
Visual Materials/CDs/DVDs	Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor	Thesis or Dissertation	T 004 NAQ-R 10957 (Browse shelf(Opens below))	Link to resource	1	Not for loan	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.		TP0010957

Total holds: 0

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Previous	T 004 NAE-C 4618 Community centric access control for social networks /	T 004 NAQ-I 8867 Intelligent detection and classification of lung nodules from CT image /	T 004 NAQ-I 8867 Intelligent detection and classification of lung nodules from CT image /	T 004 NAQ-R 10957 Residual coding for LF reconstruction schemes using deep learning methods /	T 004 NAQ-R 10957 Residual coding for LF reconstruction schemes using deep learning methods /	T 004 NAS-A 10943 A framework for identification of code clone in source files /	T 004 NAS-A 10943 A framework for identification of code clone in source files /	Next

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

MS (Computer Science).External Examiner: Sajid Anwar, Dr. AP, IT, Institute of Management Sciences, Peshawar.

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