Benzer Materyaller: DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS /
- DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS
- MACHINE LEARNING BASED SEPSIS PREDICTION FOR FOOT INFECTION IN DIABETIC PATIENTS /
- PREDICTION OF POTATO DISEASE FROM LEAVES USING DEEP LEARNING /
- PREDICTION OF STUDENT'SCOURSE GRADE USING MACHINE LEARNING ALGORITHM /
- DEVELOPMENT OF A STROKE PREDICTION SYSTEM BASED ON IOT AND MACHINE LEARNING /
- PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /
Konu (Topic): 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
Konu (Topic): 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 /
Yazar: Ahmed, Ferjana
Yazar: Supervised by Dr. Md. Mahbubur Rahman
- APPLICATION OF GRAPH COLORING ALGORITHM IN UNIVERSITY COURSE SCHEDULING /
- DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
- VIDEO CAPTIONING IN BENGALI WITH SEMANTIC CONSISTENCY USING ARTIFICIAL RECURRENT NEURAL NETWORK /