Antzeko izenburuak: MACHINE LEARNING BASED SEPSIS PREDICTION FOR FOOT INFECTION IN DIABETIC PATIENTS /
- PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /
- AI-BASED MEDICATION ASSISTIVE SYSTEM WITH INSULIN DOSE PREDICTION FOR ELDERLY DIABETIC PATIENT /
- PREDICTION OF URINARY TRACT INFECTIONS USING HMM
- DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS /
- DIABETIC RETINOPATHY STAGE DETECTION USING RETINAL FUNDUS IMAGES THROUGH ENSEMBLE LEARNING APPROACH/
- MACHINE LEARNING MODEL TO DETECT PNEUMONIA OF COVID-19 PATIENTS FROM CHEST X-RAY IMAGES /
Gaia: Computer Science and Engineering
- EXPLORING AND EVALUATING THE DESIGN IMPLICATIONS TO DEVELOP AN INTERACTIVE LEARNING TOOL FOR CHILDREN WITH AUTISM SPECTRUM DISORDER /
- DEEP REINFORCEMENT LEARNING BASED OPTIMAL COMPUTATION OFFLOADING IN FOG COMPUTING ENVIRONMENT /
- A BRIEF REVIEW OF IMAGE ENHANCEMENT ALGORITHMS FOR DENOISING MEDICAL IMAGES /
- DESIGN AND DEVELOPMENT OF A GAMING APPLICATION FOR LEARNING RECURSIVE PROGRAMMING /
- APPLICATION OF ZERO TRUST PRINCIPLES IN BLOCKCHAIN TO ENHANCE DATA SECURITY /
- DESIGN AND SIMULATION OF A ROBUST NETWORK FOR AN INSTITUTION INCLUDING COST EVALUATION /
Gaia: 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 /
Egilea: Tasneem, Zareen
Egilea: Supervised by Dr. Md. Shohrab Hossain
- IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
- DEVELOPMENT OF A TASK MANAGEMENT SYSTEM FOR SMALL AND MEDIUM SIZED ENTERPRISES /
- DEVELOPMENT OF HUMAN RESOURCE MANAGEMENT SYSTEM FOR SMALL SCALE SOFTWARE COMPANY /
- MACHINE LEARNING MODEL TO DETECT PNEUMONIA OF COVID-19 PATIENTS FROM CHEST X-RAY IMAGES /
- STATIC ANALYSIS BASED MALWARE DETECTION FOR ZERO-DAY ATTACKS IN ANDROID APPLICATIONS /
- MACHINE LEARNING BASED SEPSIS PREDICTION FOR FOOT INFECTION IN DIABETIC PATIENTS /