{"product_id":"3d-imaging-technologies-and-deep-learning-ebook","title":"3D Imaging Technologies and Deep Learning","description":"\u003cp class=\"MsoNormal\"\u003eChapter 1: Protection and Inheritance of Intangible Cultural Heritage Based on Virtual Reality Technology - Taking Dongguan as an Example.- Chapter 2: On the Application of Virtual Reality Technology in Digital Services of College Libraries.- Chapter 3: Research on User Experience Oriented to Digital Exhibition and Presentation Narratives in Museums.- Chapter 4: Research on User Experience Design in Virtual Museums under the Concept of Interaction Design.- Chapter 5: Design of an Immersive Museum Navigation APP in the Context of Audiovisual Integration.- Chapter 6: Soil Nutrient Dynamic Monitoring using Hyperspectral Imaging and Artificial Intelligence.- Chapter 7: Research on the Application of VR and Deep Learning in Plant Landscape Design.- Chapter 8: Post-processing and Visual Effect Optimization of Digital Films in the Information Technology Context.- Chapter 9: Optimization and Application of 3D Point Cloud Deep Learning Algorithm.- Chapter 10: Optimization of 3D Model Defect Detection Algorithm Based on Deep Learning.- Chapter 11: Data Recognition and Scoring Path in English Oral Training Platform Based on Deep Learning Model.- Chapter 12: Sentiment Analysis Combining Large Models and Deep Learning: Multi-Source Data Fusion from Text to Speech.- Chapter 13: English Speech Distortion Detection and Repair Based on Deep Learning.- Chapter 14: Design of a Micro-Landmark Recognition and Intelligent Navigation System Based on Immersive Virtual Reality Technology.- Chapter 15: A Framework for Human Skeleton Keypoint Detection in Low-Light Environments Based on Deep Learning.- Chapter 16: Application and Optimization in Ship Inspection and Intelligent Maintenance.- Chapter 17: CVI-LayoutXLM: Enhanced Multimodal Resume Information Extraction Model.- Chapter 18: Research on Personal Credit Fault Prediction Method Based on Improved Logistic Regression Model.- Chapter 19: Remote Sensing Image Semantic Segmentation Prediction and Enhancement System Based on Deep Learning.- Chapter 20: Analysis of Chinese Learners' Behavioral Patterns and Teaching Applications Based on Data Mining.- Chapter 21: Detection of Chemical Pollutants in Water and Ecological Risk Assessment based on ResNet Convolutional Neural Network.- Chapter 22: Water Conservancy Engineering Quality Monitoring and Early Warning System Based on BP Neural Network.- Chapter 23: Construction of UHPC Compressive Strength Prediction System Based on GA-BP Neural Network.- Chapter 24: Deep Learning-Based Feature Extraction and Analysis of 3D Models.- Chapter 25: Optimization of 3D Image Deep Learning Super-Resolution Algorithm.\u003c\/p\u003e","brand":"Lakhmi C. Jain","offers":[{"title":"Default Title","offer_id":53653564064071,"sku":"9789819652495","price":255.73,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/3d-imaging-technologies-and-deep-learning-ebook-cover.webp?v=1775400148","url":"https:\/\/www.cinebuch.de\/products\/3d-imaging-technologies-and-deep-learning-ebook","provider":"CineBuch","version":"1.0","type":"link"}