Samankaltaisia teoksia: 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 /
Aihe: 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 /
Aihe: This Thesis paper of CSE in M.Sc. program
- 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 /
- PERFORMANCE ANALYSIS OF PATH PLANNING ALGORITHMS FOR MOBILE ROBOT NAVIGATION BASED ON A GRAPHICAL SIMULATION PLATFORM /
- PHYLOGENETIC-INFORMED GRAPH NEURAL NETWORK FOR DRUG REPOSITIONING /
Tekijä: Biswas, Swapnil
Tekijä: Supervised by Dr. Nusrat Sharmin
- AI-BASED REAL-TIME HEALTH MONITORING SYSTEM FOR MILITARY DOMAIN /
- MILITARY UNIT ADMINISTRATION MANAGEMENT SYSTEM /
- ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /
- 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 /
- PHYLOGENETIC-INFORMED GRAPH NEURAL NETWORK FOR DRUG REPOSITIONING /