פריטים דומים: STATIC ANALYSIS BASED MALWARE DETECTION FOR ZERO-DAY ATTACKS IN ANDROID APPLICATIONS /
- IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
- DETECTION OF ZERO-CLICK SPYWARE USING ML AND DL TECHNIQUES /
- DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
- APPLICATION OF ZERO TRUST PRINCIPLES IN BLOCKCHAIN TO ENHANCE DATA SECURITY /
- APPLICATION OF ANDROID BASED AUTOMATIC IDENTIFICATION SYSTEM (A-AIS) IN THE INLAND WATER TRANSPORT SECTOR OF BANGLADESH /
- VISION TRANSFORMER-BASED DEEP LEARNING TECHNIQUES FOR IMPROPER FACE MASK-WEARING DETECTION /
נושא: Computer Science & Engineering.
- STATIC ANALYSIS BASED MALWARE DETECTION FOR ZERO-DAY ATTACKS IN ANDROID APPLICATIONS /
- EXTENDED THUMB IMPRESSION BASED SOFTWARE APPLICATION FOR SECURE DIGITAL IMAGE TRANSMISSION /
- DESIGN AND DEVELOPMENT OF AN ARTIFICIAL INTELLIGENCE BASED ONLINE BANKING PORTAL /
- DETECTION OF MISSING REGIONS AND SELECTION OF K-MER LENGTHS FOR ALIGNMENT FREE PHYLOGENTIC ANALYSIS /
נושא: This Thesis Paper of CSE in MSc Program.
- DEVELOPMENT OF AN IOT AND BLOCKCHAIN INTEGRATED VERTICAL FARMING SYSTEM /
- TRANSFORMER AND POSE GRAMMAR BASED DEEP NEURAL NETWORK FOR 3D HUMAN POSE ESTIMATION /
- DEVELOPMENT OF A PREDICTION SYSTEM FOR HOUSEHOLD ELECTRICITY CONSUMTION IN DHAKA CITY /
- DEVELOPMENT OF A FUZZY INFERNENCE SYSTEM BASED WEB APPLICATION FOR EARLY PREDICTION OF CORONAVIRUS DISEASE /
- VISION TRANSFORMER-BASED DEEP LEARNING TECHNIQUES FOR IMPROPER FACE MASK-WEARING DETECTION /
- DEVELOPMENT OF A STROKE PREDICTION SYSTEM BASED ON IOT AND MACHINE LEARNING /
מחבר: Sara, Jabunnesa Jahan
מחבר: 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 /