NUST Institutions Library Catalogue catalog › Details for: NOVEL DISEASE NAMED ENTITY RECOGNITION (DNER) & HYBRID RELATION EXTRACTION (HRE) FRAMEWORKS FOR BIOMEDICAL TEXT /

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NOVEL DISEASE NAMED ENTITY RECOGNITION (DNER) & HYBRID RELATION EXTRACTION (HRE) FRAMEWORKS FOR BIOMEDICAL TEXT / Abdul Wahab Muzaffar.

By: Muzaffar, Abdul Wahab Contributor(s): Dr. Farooque Azam Material type: Text

TextPublisher: Islamabad: CEME - NUST, 2017Description: xii, 113 p.: ill.; 30cmSubject(s): CSE PhD ThesisDDC classification: 621.39

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Thesis	Central Library (CL)	Central Library (CL)	Thesis	621.39 (Browse shelf)	Available		CL-T-855

Total holds: 0

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Previous	621.39 Learning Based Segmentation of Skin Lesion from Dermoscopic Images /	621.39 Automated Detection of Wet Aged Related Macular Degeneration Using Optical Coherence Tomographic Images /	621.39 Efficient Prediction of Epileptic Seizures using Electroencephalogram (EEG) signals based on Statistical and Spectral Features /	621.39 NOVEL DISEASE NAMED ENTITY RECOGNITION (DNER) & HYBRID RELATION EXTRACTION (HRE) FRAMEWORKS FOR BIOMEDICAL TEXT /	621.39 PhD Dissertation Synchronization of Cooperative Diversity Orthogonal Frequency Division Multiplexing System in Wireless Channel /	621.39 A Novel Framework to Autromatically Generate Executable Web Services from BPMN Models /	621.39 SOFTWARE SIZE ESTIMATION MODEL FOR BOARD-BASED DESKTOP GAMES /	Next

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