Gelijkaardige items: PERFORMANCE ENHANCEMENT OF BANGALI PARAPHRASING THROUGH DOMAIN SPECIFIC KNOWLEDGE /
- IMPROVEMENT OF DOMAIN ANALYSIS AND KNOWLEDGE COMPILATION TOOLS FOR SOLVING AI PLANNING PROBLEMS /
- DEPARTMENTAL KNOWLEDGE PORTAL /
- IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
- DIABETIC RETINOPATHY STAGE DETECTION USING RETINAL FUNDUS IMAGES THROUGH ENSEMBLE LEARNING APPROACH/
- PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /
- DESIGN AND DEVELOPMENT OF A MULTI-CHANNEL MILITARY APPLICATION USING INTERACTIVE DIALOGUE MODEL (IDM) PROVIDING ENHANCED USABILITY /
Onderwerp: Computer Science and Engineering
- CONVOLUTIONAL NEURAL NETWORK (CNN) FOR DETECTION OF PROSTATE CANCER USING CELL SLIDE IMAGES /
- DEVELOPMENT OF AN INNOVATIVE VOICE-OVER-GUIDED SYSTEM TO TEACH THE WRITING OF MULTILINGUAL ALPHABETS FOR VISUALLY-IMPAIRED PEOPLE /
- DESIGN A GUI BASED RADAR SIMULATOR TO VIEW REAL TIME OBJECT /
- A NOVEL HYBRID STEGANOGRAPHY TECHNIQUE WITH LSB SUBSTITUTION IN COLORED IMAGE BASED ON PATTERN MATCHING /
- EXPLORING NATURAL LIFE CONSERVATION USING MACHINE LEARNING AND IOT BASED SOUND CLASSIFICATION /
- DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
Onderwerp: This Thesis Paper of CSE in M.Sc Program.
- DIABETIC RETINOPATHY STAGE DETECTION USING RETINAL FUNDUS IMAGES THROUGH ENSEMBLE LEARNING APPROACH/
- BANGLA HATE SPEECH DETECTION ON SOCIAL MEDIA USING MACHINE LEARNING MODEL/
- MULTI-CLASS BREAST CANCER DETECTION USING DEEP LEARNING AND QUANTUM ANNEALING-BASED HYPERPARAMETER OPTIMIZATION /
- DETECTING THE FETAL HEALTH CONDITION USING FEDERATED LEARNING APPROACH WITH INCENTIVE-BASED REWARDS SYSTEM /
- RETINAL VESSEL SEGMENTATION USING MODIFIED U-NET MODEL /
- DESIGN AND DEVELOPMENT OF A MINI INTERACTIVE EDUCATIONAL TOOL FOR KIDS /
Auteur: Ibn Aziz, Faisal
Auteur: Supervised by Lt Col. Muhammad Nazrul Islam
- STRESS CLASSIFICATION USING NEUROPHYSIOLOGICAL FEATURE THROUGH UNSUPERVISED MACHINE LEARNING TECHNIQUE /
- A FEDERATED LEARNING AIDED SYSTEM FOR CLASSIFYING CERVICAL CANCER USING PAP-SMEAR IMAGES/
- BANGLA HATE SPEECH DETECTION ON SOCIAL MEDIA USING MACHINE LEARNING MODEL/
- MULTI-CLASS BREAST CANCER DETECTION USING DEEP LEARNING AND QUANTUM ANNEALING-BASED HYPERPARAMETER OPTIMIZATION /
- DETECTING THE FETAL HEALTH CONDITION USING FEDERATED LEARNING APPROACH WITH INCENTIVE-BASED REWARDS SYSTEM /
- PERFORMANCE ENHANCEMENT OF BANGALI PARAPHRASING THROUGH DOMAIN SPECIFIC KNOWLEDGE /