Samankaltaisia teoksia: IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
- DETECTING DDOS ATTACKS USING MACHINE LEARNING & DEEP LEARNING APPROACHES WITH A COMPANION VISUALIZATION DASHBOARD /
- DIABETIC RETINOPATHY STAGE DETECTION USING RETINAL FUNDUS IMAGES THROUGH ENSEMBLE LEARNING APPROACH/
- DEVELOPMEMENT OF A MACHINE LEARNING MODEL FOR BILLINGUAL SMS SPAM DETECTION /
- ENHANCED DETECTION AND ANOMALY IDENTIFICATION IN CHIPLESS RFID SYSTEMS USING SCALABLE MACHINE LEARNING MODELS /
- IDENTIFICATION OF BREST TUMOR FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
Aihe: 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 /
- PREDICTION OF URINARY TRACT INFECTIONS USING HMM
- MOBILE VIDEO TRANSMITTING ROBOT /
- PARAMETRIC STUDY OF STUDENT LEARNING IN IT USING DATA MINING
Aihe: This Thesis Paper of CSE in M.Sc. Program.
- MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES /
- IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
- USABILITY AND ACCESSIBILITY ASSESSMENT OF MOBILE FINANCIAL SERVICE APPLICATIONS IN BANGLADESH /
- DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
- EXPLORATION THE RELATIVE EFFECTIVENESS OF DESIGN METHODS TO DEVELOP USABLE E-TOURISM APPLICATIONS IN BANGLADESH /
- DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS /
Tekijä: Anis, Adeeba
Tekijä: Supervised by Dr. Md. Shohrab Hossain
- MACHINE LEARNING MODEL TO DETECT PNEUMONIA OF COVID-19 PATIENTS FROM CHEST X-RAY IMAGES /
- 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 /
- STATIC ANALYSIS BASED MALWARE DETECTION FOR ZERO-DAY ATTACKS IN ANDROID APPLICATIONS /
- MACHINE LEARNING BASED SEPSIS PREDICTION FOR FOOT INFECTION IN DIABETIC PATIENTS /