Eitemau Tebyg: LEAF DISEASE DETECTION BASED ON GENERATIVE ADVERSARIAL NETWORK /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
- DETECTION OF RICE LEAF BLAST DISEASE THROUGH IMAGE PROCESSING AND MACHINE LEARNING APPROACHES /
- HYBRID AI MODEL INTEGRATING DEEP LEARNING AND FUZZY LOGIC FOR TOMATO LEAF DISEASE DETECTION AND SEVERITY ESTIMATION /
- A STUDY ON VOIP CALL DETECTION IN NETWORK TRAFFIC /
- A STUDY ON VOIP CALL DETECTION IN NETWORK TRAFFIC /
- CONTEXT SENSITIVE SELF LEARNING CHATBOT SYSTEM FOR MILITARY WAR SCENARIO APPRECIATION USING CAPSULE NETWORK BASED CNN /
Pwnc: Computer Science and Engineering Engineering.
- LEAF DISEASE DETECTION BASED ON GENERATIVE ADVERSARIAL NETWORK /
- DEEP LEARNING BASED MULTIPLE OBJECT DETECTION AND DISTANCE MANAGEMENT FROM CUSTOM-BUILT DATASET WITH HETEROGENIOUS TRAFFIC /
- DEVELOPING A DEEP LEARNING-BASED AR SHOE TRY-ON APP WITH 3D SHOE MODELING FROM SMARTPHON IMAGES /
- DEVELOPMENT OF A SMART UNIT ADMINISTRATION MANAGEMENT SYSTEM /
- APPLICATION OF GRAPH COLORING ALGORITHM IN UNIVERSITY COURSE SCHEDULING /
- DEVELOPMENT OF AN AUTOMATED EYEBALL CONTROLLED WHEELCHAIR PROTOTYPE FOR PHYSICALLY CHALLENGED PEOPLE /
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 /