Lignende værker: DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS /
- DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS
- MACHINE LEARNING BASED SEPSIS PREDICTION FOR FOOT INFECTION IN DIABETIC PATIENTS /
- PREDICTION OF POTATO DISEASE FROM LEAVES USING DEEP LEARNING /
- PREDICTION OF STUDENT'SCOURSE GRADE USING MACHINE LEARNING ALGORITHM /
- DEVELOPMENT OF A STROKE PREDICTION SYSTEM BASED ON IOT AND MACHINE LEARNING /
- PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /
Emne: 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 /
Emne: This Thesis Paper of CSE in M.Sc. Program.
- EXTENDED THUMB IMPRESSION BASED SOFTWARE APPLICATION FOR SECURE DIGITAL IMAGE TRANSMISSION /
- DESIGN AND DEVELOPMENT OF AN ARTIFICIAL INTELLIGENCE BASED ONLINE BANKING PORTAL /
- DETECTION OF MISSING REGIONS AND SELECTION OF K-MER LENGTHS FOR ALIGNMENT FREE PHYLOGENTIC ANALYSIS /
- MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES /
- IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
- USABILITY AND ACCESSIBILITY ASSESSMENT OF MOBILE FINANCIAL SERVICE APPLICATIONS IN BANGLADESH /
Forfatter: Ahmed, Ferjana
Forfatter: Supervised by Dr. Md. Mahbubur Rahman
- APPLICATION OF GRAPH COLORING ALGORITHM IN UNIVERSITY COURSE SCHEDULING /
- DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
- VIDEO CAPTIONING IN BENGALI WITH SEMANTIC CONSISTENCY USING ARTIFICIAL RECURRENT NEURAL NETWORK /