相似書籍: EARTHQUAKE MAGNITUDE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING /
- TROPICAL CYCLONE PREDICTION AND INTENSITY ESTIMATION USING MACHINE LEARNING AND DEEP LEARNING /
- EXPLAINABLE AI BASED SOLAR IRRADIANCE PREDICTION FROM WEATHER DATA USING MACHINE LEARNING AND DEEP LEARNING WITH HYBRIDIZED CLUSTERING /
- COMPARATIVE ANALYSIS OF SEA-LEVEL PREDICTION IN COASTAL REGIONS BANGLADESH USING MACHINE LEARNING, DEEP LEARNING AND TIME SERIES ANALISIS /
- PREDICTION OF STUDENT'SCOURSE GRADE USING MACHINE LEARNING ALGORITHM /
- FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
- IDENTIFICATION AND TRANSLATION OF TRANSLITERATED CHAKMA TEXT INTO BANGLA USING MACHINE LEARNING AND DEEP LEARNING APPROACHES /
主題: Computer Science and Engineering.
- IMPLEMENTATION OF AES128: A BEGINNING IN THE PRODUCTION OF IFF DEVICE FOR BANGLADESH DEFENSE SERVICES /
- CLOUD COMPUTING-FEASIBILITY AND PROSPECTS FOR IMPLEMENTATION IN BANGLADESH ARMY /
- DEEP REINFORCEMENT LEARNING BASED OPTIMAL COMPUTATION OFFLOADING IN FOG COMPUTING ENVIRONMENT /
- A MULTIMODAL FEDERATED-LEARNING BASED FRAMEWORK FOR PEDESTRIAN BEHAVIOR UNDERSTANDING AND ROAD-BLOCKAGE ASSESSMENT UNDER ADVERSE CONDITIONS /
- A DUAL-STAGE CNN FRAMEWORK FOR RICE LEAF DISEASE DETECTION AND CLASSIFICATION USING COLOR INTENSITY ENHANCED FEATURE EXTRACTION /
- EXPLORING COGNITIVE LOAD IN STORYTELLING ASPECTS ACROSS THE ONBOARDING PHASE OF A VIDEO GAME USING NASA-TLX /
主題: This Thesis Paper of CSE in B.Sc. Program.
- 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 A DIGITAL COGNITIVE HUMANOID HEAD /
- A VISUAL SEARCH RECOMMENDATION APPROACH FOR GROCERY PRODUCTS USING VARIOUS CNN MODELS /
- IMPLEMENTATION OF GPS IN THE PRESENT BATTLE TANKS OF BANGLADESH INCLINE TO THE LIGHT TANK VT-5 CHINA /
- CAREER GUIDANCE SYSTEM BASING ON APTITUDE, ATTITUDE, AND SOCIOECONOMIC DATA USING MACHINE LEARNING /