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Epidemic Intimation System: Machine Learning Based Prediction of Dengue Virus for District Rawalpindi / Nasir Abbas

By: Abbas, Nasir Contributor(s): Supervisor: Dr. Abdul Waheed Material type: Text

TextIslamabad : SEECS, NUST, 2022Subject(s): MS-Information TechnologyDDC classification: 200 Online resources: Click here to access online

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Soft Copy	Central Library (CL)	Central Library (CL)	Thesis	200 (Browse shelf)	Available		CL-T-6590

Total holds: 0

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Previous	200 A Hybrid Machine Learning Technique for Short-Term Electric Load Forecasting for Residential Users /	200 Application Of Vr Based Approach To Help Secondary Students In Performing Practical Activties /	200 Building Household Electricity Load Profile Using Machine Learning /	200 Epidemic Intimation System: Machine Learning Based Prediction of Dengue Virus for District Rawalpindi /	200 Analyzing the Security and Data Remnants of Android Freelancing Applications /	200 A High Gain Pencil Beam Antenna for 5G Millimeter Wave Communication in 20-40 GHz Spectrum /	200 A Novel Design for A High Capacity Chipless RFID Tag /	Next

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