Những quyển sách tương tự: DEVELOPMENT OF A CNN-MODEL BASED SYSTEM FOR RECOGNITION OF BANGLA HANDWRITTEN TEXT /
- HANDWRITTEN BANGLA VOWEL CHARACTER RECOGNITION
- INTERACTIVE HANDWRITTEN BANGLA DIGIT RECOGNITION SYSTEM USING CONVOLUTIONAL NEURAL NETWORK /
- NEURAL NETWORK BASED BANGLA AUTOMATIC PHONEME RECOGNITION /
- PHONEME BASED BANGLA TEXT TO SPEECH CONVERSION .
- AN EFFICIENT TRANSFER LEARNING MODEL FOR PREDICTING FORGED (HANDWRITTEN) SIGNATURE /
- AUTOMATIC PHONEME RECOGNITION FOR BANGLA SPOKEN LANGUAGE /
Đề tài: 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 /
Đề tài: This Thesis Paper of CSE in BSc Program.
- A DEEP LEARNING-BASED APPROACH FOR DETECTING BANGLA SPAM EMAILS /
- Soldiers Yearly Planning Guide /
- 'MILBOT' - A SEMI-AUTONOMOUS MULTIPURPOSE ROBOT FOR MILITARY OPERATIONS /
- DESIGN AND DEVELOPMENT OF A TRANSFORMABLE MECHANISM FOR A TWO WHEELED MILITARY SURVEILLANCE ROBOT /
- AUTOMATION PROJECT FOR INVENTORY MANAGEMENT OF RATION TO INCLUDE DEMAND, COLLECTION OF FRESH AND DRY RATION AND GENERATION OF ASSOCIATED REPORTS /
- TOWARDS EVELOPING AN IMAGING APPLICATION TO AID PHYSICIANS ANALYZING MRI IMAGES OF BRAIN TUMOR: A MACHINE LEARNING APPROACH THROUGH COMPARATIVE ANALYSIS /
Tác giả: FAIAZ, MD MAHMUDUL HASAN
Tác giả: Supervised by Fernaz Narin Nur
- ADAPTIVE AND AGGREGATED MODEL FUSION FOR FEDERATED INTRUSION DETECTION IN HETEROGENEOUS EDGE NETWORKS /
- DEVELOPMENT OF A CNN-MODEL BASED SYSTEM FOR RECOGNITION OF BANGLA HANDWRITTEN TEXT /
- ENSEMBLE LEARNING IN CYBERBULLYING DETECTION USING TRANSFORMER MODELS: A MULTILINGUAL AND EXPLAINABLE AI APPROACH /
- HYBRID AI MODEL INTEGRATING DEEP LEARNING AND FUZZY LOGIC FOR TOMATO LEAF DISEASE DETECTION AND SEVERITY ESTIMATION /