Eitemau Tebyg: CONTEXT SENSITIVE SELF LEARNING CHATBOT SYSTEM FOR MILITARY WAR SCENARIO APPRECIATION USING CAPSULE NETWORK BASED CNN /
Pwnc: Computer Science and Engineering.
- PREDICTION OF URINARY TRACT INFECTIONS USING HMM
- MOBILE VIDEO TRANSMITTING ROBOT /
- PARAMETRIC STUDY OF STUDENT LEARNING IN IT USING DATA MINING
- MULTI LAYER NEURAL NETWORK BASED AUTOMATIC WORD RECOGNITION FOR BANGLA SPOKEN LANGUAGE /
- INTER WORD SEMANTIC AND STRING DISTANCE USING ONTOLOGICAL TECHNIQUES /
- USER SESSION BASED AUTOMATED TEST CASE GENERATION USING NEUMATIC ALGORITHM /
Pwnc: This Thesis Paper of CSE in B.Sc. Program.
- DEVELOPMENT OF A DIGITAL COGNITIVE HUMANOID HEAD /
- A VISUAL SEARCH RECOMMENDATION APPROACH FOR GROCERY PRODUCTS USING VARIOUS CNN MODELS /
- CAREER GUIDANCE SYSTEM BASING ON APTITUDE, ATTITUDE, AND SOCIOECONOMIC DATA USING MACHINE LEARNING /
- DEVELOPING VEHICLE PARKING SYSTEM BY AUTOMATIC NUMBER PLATE RECOGNITION USING OPTICAL CHARACTER RECOGNITION USING OPTICAL CHARACTER RECOGNITION TECHNOLOGY /
- DEVELOPMENT OF OFFICERS' MEAL MANAGEMENT AND FOOD WASTE PREDICTION SYSTEM /
- DEVELOPMENT OF AN INTELLIGENT CHATBOT FOR MIST WEBSITE /