Adscone [BS Computer Science] / . by Qasim Jamal, Hamza Muneer, Arslan Aslam, Muhammad Azeem ur Rehman and Mubeen Aftab
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TextPublication details: Lahore : UMT. School of System and Technology. Department of Computer Science, 2019Description: 72 pDDC classification: - TP 005.746591 ADS-
Theses and Term Papers
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BS theses list
| Current library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|
| UMT Main Campus | TP 005.746591 ADS- (Browse shelf(Opens below)) | Not for loan | 132562 |
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| TP 005.74658812 SAF-O Online complaint management system [Bs program] [+CD] | TP 005.74658812 SAF-R RoundCRM [ Computer Science] | TP 005.746588343 FAR-B Brands fields [ BS Computer Science] / | TP 005.746591 ADS- Adscone [BS Computer Science] / | TP 005.746606 KAN-S sequence-based prediction model developed through XG-boost, RF, KNN, ANN and SVM classifier for phage promoter prediction [MS Computer Science] / | TP 005.74661624 SAN-A Automatic COVID-19 lung infection segmentation through modified unet model [MS Information Technology] / | TP 005.74661804 CHE- Chemical plant management system 1 (CPMS) [BS Computer Science] / |
Report presented in partial requirement for MS degree in Computer Science
Advisor : Amjad Hussain Zahid MS Department of Computer Science 2019 15025020019; 15025020037; S2016266105; 15025020025; 15025020015
School of System and Technology
English
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