Antzeko izenburuak: INTENSIVE CARE UNIT PATIENT MONITORING OF PEDIATRIC AND CONGENITAL HEART DISEASE USING DATA MINING /
- Intensive Care Unit Patient Monitoring of Pediatric and Congenital Heart Disease Using Data Mining
- DEVELOPMENT OF AN AMBULATORY PATIENT MONITORING SYSTEM FOR CARDIO FOR CARDIO-CRITICAL CARE /
- APPLICATION OF MACHINE LEARNING TECHNIQUES FOR THE PREDICTION OF HEART DISEASE /
- Data Mining
- PARAMETRIC STUDY OF STUDENT LEARNING IN IT USING DATA MINING
- FREQUENT CONTIGUOUS PATTERN MINING OVER BIOLOGICAL SEQUENCES OF PROTEIN MANIFOLDED DISEASES /
Gaia: This Thesis paper of CSE in B.Sc program
- ONTOLOGY BASED INFORMATION EXTRACTION FROM SOCIAL NETWORKING DATA /
- THREATS TO INFORMATION SECURITY IS RISING : PENETRATION TESTING MAY ENHANCE DEFENSIVE SECURITY /
- HUMAN MOTION DETECTION AND UNDERSTANDING FOR SURVEILLANCE IN REAL -TIME /
- IMAGE RESTORATION USING DISTANCE TRANSFORMATION AND NEIGHBORING PIXEL METHOD /
- NEURAL NETWORK BASED BANGLA AUTOMATIC PHONEME RECOGNITION /
- A NEW ALGORITHM FOR SOLUTION OF SYSTEM OF LINEAR EQUATIONS /
Gaia: Computer Science and Engineering
- PREDICTION OF URINARY TRACT INFECTIONS USING HMM
- MOBILE VIDEO TRANSMITTING ROBOT /
- PARAMETRIC STUDY OF STUDENT LEARNING IN IT USING DATA MINING
- MULTI LAYER NEURAL NETWORK BASED AUTOMATIC WORD RECOGNITION FOR BANGLA SPOKEN LANGUAGE /
- INTER WORD SEMANTIC AND STRING DISTANCE USING ONTOLOGICAL TECHNIQUES /
- USER SESSION BASED AUTOMATED TEST CASE GENERATION USING NEUMATIC ALGORITHM /
Egilea: M.Niaz Mohammad Nazmul Huda MIithu,Md.Farhan Shahriar
Egilea: Supervised by Dr.Hasan Sarwar
- INTENSIVE CARE UNIT PATIENT MONITORING OF PEDIATRIC AND CONGENITAL HEART DISEASE USING DATA MINING /
- A NEW MAGNETIC RESONANCE IMAGE DENOISING ALGORITHM /
- A STUDY ON DIABETES PATIENT LIFESTYLE MANAGEMENT USING MOBILE APPLICATION /
- BANGLA CHARACTER RECOGNITION USING ARTIFICAL NEURAL NETWORK STEP : FEATURE SELECTION /
- AN EFFORT TO CREATE AN IMAGE DATABANK OF PRINTED BANGLA TEXT TO HELP,DEVELOP AND TEST AN OCR SOFTWARE /
- BANGLA CHARACTER RECOGNITION USING ARTIFICAL NEURAL NETWORK STEP: CLASSIFIER DESIGN /