Integrated Systems: Data Driven Engineering (2024)

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Integrated Systems: Data Driven Engineering (2024)

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  • 製本 Hardcover:ハードカバー版/ページ数 357 p.
  • 商品コード 9783031536519

Full Description

The term "integrated system" denotes the seamless collaboration of numerous (potentially unrelated) subsystems to achieve a specific goal. It involves combining various components—hardware, software, networks, and workflows—into a unified system that operates cohesively. Widely utilized across scientific and technological domains, integrated systems aim to elevate coherence, efficiency, and overall functionality quality. The Integrated System Design and Technology (ISDT) conference convenes a distinguished group of leading scientists with diverse backgrounds and notable achievements in technological innovation with the goal of fostering cross-disciplinary research and innovation. This gathering serves as an enabler for addressing major scientific and societal challenges that necessitate integrated systems, emphasizing the importance of collaboration in overcoming complex issues. The book at hand includes peer-reviewed research results that were presented and critically discussed duringthe ISDT 2023 which were held in Antalya, Turkey, in May 2023.

Contents

Automated Photonic Waveguide Loss Measurement using Out-scattering Light Method.- Interpretable Prototype Discovery in Deep Learning-based Time Series Classification.- One-Shot Defect Fingerprint Comparability Using Siamese Networks for Wafer Map Similarity in Semiconductor Manufacturing.- Opportunities of Data Driven Medicine: Collection, Transfer, and Processing of Vital Data inOutpatient Care.- Performance and Optimization of Microfluidic Channels with Acute Angles and SerpentineCurvatures.- Swimming Robots for Targeted Chaotic Mixing in Viscous Environments.- Adaptive Hierarchical Meta-scheduling for Distributed Time-triggered Systems with Diverse Internaland System Architectures.- Cognitive Controllable Local System Improving Blackstart Resilience in Smart Distribution Grids.- Real-Time Anomaly Detection in Connected Autonomous Vehicles: A Data-Driven Approach.- MASTER-XR: Mixed reAlity ecoSystem for TEaching Robotics in manufacturing.- Semantically Enriched Interfaces for ProductConfiguration.

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