Podobné jednotky: PHYLOGENETIC-INFORMED GRAPH NEURAL NETWORK FOR DRUG REPOSITIONING /
- PARETO-OPTIMAL PHYLOGENETIC TREE RECONCILIATION CONSIDERING DUPLICATIONS TRANSFERS, LOSSES AND INCOMPLETE LINEAGE SORTING /
- INTERACTIVE HANDWRITTEN BANGLA DIGIT RECOGNITION SYSTEM USING CONVOLUTIONAL NEURAL NETWORK /
- A SERVER CLIENT BASED MULTI CHANNEL DATABASE MODEL IN RECORD KEEPING OF MESS MANAGEMENT SYSTEM /
- STUDY OF MULTILAYER NEURAL NETWORK & IT' S APPLICATION /
- TRANSFORMER AND POSE GRAMMAR BASED DEEP NEURAL NETWORK FOR 3D HUMAN POSE ESTIMATION /
- STUDY OF GRAPH LABELINGS /
Téma: 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 /
Téma: This Thesis paper of CSE in M.Sc. program
- PERFORMANCE ANALYSIS OF PATH PLANNING ALGORITHMS FOR MOBILE ROBOT NAVIGATION BASED ON A GRAPHICAL SIMULATION PLATFORM /
- PHYLOGENETIC-INFORMED GRAPH NEURAL NETWORK FOR DRUG REPOSITIONING /
- SENTIMENT ANALYSIS OF MULTI-REGIONAL AND MULTILINGUAL TRENDING YOUTUBR VIDEOS USING A MODIFIED DEEP LEARNING MODEL /
- DEVELOPMEMENT OF A MACHINE LEARNING MODEL FOR BILLINGUAL SMS SPAM DETECTION /
- MACHINE LEARNING BASED SEPSIS PREDICTION FOR FOOT INFECTION IN DIABETIC PATIENTS /
Autor: Biswas, Swapnil
Autor: Supervised by Dr. Nusrat Sharmin
- MILITARY UNIT ADMINISTRATION MANAGEMENT SYSTEM /
- PHYLOGENETIC-INFORMED GRAPH NEURAL NETWORK FOR DRUG REPOSITIONING /
- ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /
- AI-BASED REAL-TIME HEALTH MONITORING SYSTEM FOR MILITARY DOMAIN /
- SWARM ROBOTIC IN SEARCH AND RESCUE VIA DISTRIBUTED TARGET LOCALIZATION AND POSSIBLE EMERGENCE /
- DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /