Information Processing and Network Provisioning

.- Analysis of Intelligent Multi-UAV Communication Systems Based on SC/MRC.

.- Relay-assisted Techniques of Underwater Wireless Optical Communication: A Review.

.- Design and Optimization of Antennas Based on Machine Learning.

.- An In-Depth Analysis of the Recent Progress and Remaining Obstacles in Radar Signal Processing: A Holistic Evaluation.

.- Signal Processing of φ-OTDR Based on Compressed Sensing and Block Matching.

.- Research on Digital System Based on Modular Component Prefabrication Site Selection Model.

.- A Review of Research on Extractive and Generative Automatic Text Summarization.

.- Blockchain Based Electronic License Traceability and Anti-counterfeiting Identification Method for Power Business.

.- Research on Pricing Method of Stainless Steel Cladding with Big Data.

.- Distribution Coverage and Dynamic Optimization for Air-ground Heterogeneous ISAC Systems.

.- A Data-Driven, Object-Oriented Platform for Intelligent Cost Management in Engineering Projects.

.- Fusion Feature-Based Lymph Node Ultrasound Image Classification Model.

.- Expanding Range and Flexibility: Reference-Free Radar Networks for Multi-Target Detection.

.- A Privacy Computing Platform for Electric Power Information System Based on Blockchain and Trusted Computing Sandbox.

.- Efficient Super-Resolution Range-Angle Estimation via Positive Atomic Norm Minimization.

.- SysML-Based Design Information Organization of Modern Power Plant Engineering.

.- B/S Architecture-Based Quality Inspection Information Management System.

.- AI-Driven Automotive Systems: Integrating Artificial Intelligence in Next-Gen Vehicles.

.- Deep Learning-based Traffic Detection Method Using m-Sequence Word Embedding and Boruta Feature Selection on Adjusting Attention Mechanisms.

.- Deep Learning-Based Fault Detection Method Using Convolutional Code Word Embedding and Maximum Mutual Information Attention Mechanism.

.- TransTraffic:Transformer-based Encrypted Traffic Behavior Identification for Industrial Control Systems.

.- Parameter Identification Method of MIMO System Based on VAE and GAN.

.- Degree-Controllable Detail Attention-Enhanced Lightweight Fast Style Transfer.

.- Semi-Distributed Scheduling Method for Cross-Domain TSN Traffic Based on Dual-Color Cooperative Bat Algorithm.

.- Study on Comprehensive Slicing and Isolation Techniques for Secure and Reliable Vehicle-to-Roadside Communications in 5G Networks.

.- Research on Real-Time Processing Technology of Distributed Optical Fiber Sensing Signal Based on FPGA.

.- UAV Frequency Hopping Jamming Signal Generation Based on Generative Adversarial Network.

.- . Connecting the Dots for Autonomous Transportation: How V2X Can Help Advance Self-Driving Vehicles.

.- Advanced Techniques for Microwave Field Measurement Using Rydberg Atoms.

.- Wireless Channel Prediction Method based on Improved Neural Network in Complex and Harsh Environments.

.- Application and Cost Analysis of Smart Site in Engineering Construction.

.- Establishment of a Full-Process Management System for BIM in Engineering Procurement Construction.

.- The Research on The Application of BIM in Contract Settlement for Large-Scale Complex Construction Projects.

.- Application of Parametric Technology in the Field of Building Design.

.- Automated Penetration Testing System Based on PTES and ATT&CK.

.- Dual-Attention ResNet for Real-Time Beamforming.

.- Development of a Graphical Design Tool for Unified Data Models: A Case Study of SG-CIM for Power Grid Systems.

.- A Routing Optimization Mechanism for Performance Sensitive Services in Power Communication Networks.

.- Deep Learning-Based Direction of Arrival Estimation Using Dual-Domain Covariance Features.

• Erscheinungsdatum: 19.08.2025
• Autor/Autorin: Michel Kadoch
• Reihe: Computer Science (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 59.6 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 493 Seiten
• ISBN: 9789819513406
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.