Míreanna comhchosúla: SENTIMENT ANALYSIS OF MULTI-REGIONAL AND MULTILINGUAL TRENDING YOUTUBR VIDEOS USING A MODIFIED DEEP LEARNING MODEL /
- STACKED ATTENTION BASED DEEP LEARNING MODEL FOR VIDEO CAPTIONING IN BENGALI /
- AUTOMATIC VIDEO NAVIGATION SYSTEM FOR VISUALLY IMPAIRED PEOPLE WITH AUDIO FEEDBACK USING DEEP LEARNING MODEL /
- ENSEMBLE LEARNING IN CYBERBULLYING DETECTION USING TRANSFORMER MODELS: A MULTILINGUAL AND EXPLAINABLE AI APPROACH /
- Deep learning /
- SENTIMENT ANALYSIS OF COVID-19 TWEETS USING MACHINE LEARNING TECHNIQUES /
- Machine learning for audio,image and video analysis : theory and applications /
Topaic: Computer Science and Engineering
- USER SESSION BASED AUTOMATED TEST CASE GENERATION USING NEUMATIC ALGORITHM /
- ROBUST OBJECT SEGMENTATION USING MODIFICATION OF CLASSICAL SPLIT AND MERGE ALGORITHM /
- A CLOUD-BASED MODEL FOR DEVELOPING E-COMMERCE APPLICATIONS IN CONTEXT OF BANGLADESH /
- CLOUD BASED APPLICATION SERVER FOR UNIVERSITIES : A NEW APPROACH /
- OPTIMIZING DIVIDE AND CONQUER BASED ALGORITHMS : THE CASE OF HEAPSORT /
- CLUSTERING AND ANT COLONY BASED ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS /
Topaic: 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 /
Údar: Rubaiyat Rahman, Syed Rijuan
Údar: Supervised by Lt Col Muhammad Nazrul Islam
- USABILITY AND ACCESSIBILITY ASSESSMENT OF MOBILE FINANCIAL SERVICE APPLICATIONS IN BANGLADESH /
- DESIGN AND DEVELOPMENT OF AN ACOUSTIC VR GAME FOR VISUALLY IMPAIRED PEOPLE /
- EXPLORATION THE RELATIVE EFFECTIVENESS OF DESIGN METHODS TO DEVELOP USABLE E-TOURISM APPLICATIONS IN BANGLADESH /
- AN EFFICIENT TRANSFER LEARNING MODEL FOR PREDICTING FORGED (HANDWRITTEN) SIGNATURE /
- EXPLORING BATTLE-WINNING FACTORS FOR PREDICTING AND OPTIMIZING BATTLE OUTCOME THROUGH MACHINE LEARNING TECHNIQUE /
- BLOCKCHAIN BASED FRAMEWORK FOR PREVENTING MEDICINE COUNTERFEIT IN CONTEXT OF BANGLADESH /