Ítems similars: 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 /
Tema: Computer Science and Engineering.
- IMPLEMENTA OF GENOME TRANSPOSITION IN GRIMM /
- FUSION OF FINGERPRINT AND HEARTBEAT BIO METRICS FOR SECURITY ENHANCEMENT /
- ANALYSIS OF MULTIPLICATION BASED ALGORITHMS /
- A STUDY OF SECURITY PROTOCOLS FOR WIRELESS LOCAL AREA NETWORKS /
- AN EFFICIENT LINEAR SEEDED TREE ALGORITHM FOR FINDING THE SIMILARITY SCORE OF TWO RNA SECONDARY STRUCTURE /
- A STUDY ON PAIRWISE COMPATIBILITY GRAPHS /
Tema: 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 /
- ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /
- MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES /
- IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
Autor: Ahmed, Ferjana
Autor: 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 /