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Failure by Design 由 Rilinger, Georg

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Artificial Intelligence in Modeling and Simulation

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Frontiers in Deep-Sea Equipment and Technology II

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Quality of Service (QoS)

“...A significant focus of the book is the integration of QoS with 5G and beyond, highlighting methods like QoS-aware machine learning for resource optimization, dynamic resource allocation through predictive analytics, and traffic routing algorithms for real-time network improvements. ...”
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Fuel Cell-Based and Hybrid Power Generation Systems Modeling

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Development and Modification of New or Recycled Materials and Technological Processes toward Sustainable Development

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Applications and Technologies of Renewable Energy

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Computational Methods and Application in Machine Learning

“...Machine learning is an interdisciplinary subject involving probability theory, statistics, approximation theory, convex analysis, optimization, algorithm complexity theory, etc. It focuses on how computers simulate or realize human learning behaviors in order to obtain new knowledge or skills. ...”
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Wood Modification

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10th Anniversary of Technologies-Recent Advances and Perspectives

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Today's TBB 由 Voss, Michael J., Reinders, James R.

“...It then introduces the major components of TBB including parallel algorithms, flow graphs, and task groups that help you fully leverage the power of multicore systems. ...”
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Advances in Intelligent Data Analysis and Its Applications, 2nd Edition

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Blockchain Technology—a Breakthrough Innovation for Modern Industries

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Personalized Management in Orthopedics and Traumatology

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Advances in Solar Technologies

“...Grid integration benefits from advanced LCL filters and Maximum Power Point Tracking (MPPT) algorithms using genetic and ant colony optimization. ...”
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Advances in Artificial Intelligence

“...This issue also explores developments in natural language processing and multimodal data analysis, alongside optimization strategies inspired by evolutionary algorithms and probabilistic models, such as Gaussian processes. ...”
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Medical Data Processing and Analysis

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Mathematics in Robot Control for Theoretical and Applied Problems

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Advances in Reservoir Simulation

“...Proxy models like INSIM-FT and Physics-Informed Neural Networks (PINNs) enable rapid simulation, cutting computational time from weeks to hours while maintaining >85% accuracy. Machine learning (XGBoost) achieves 92% permeability prediction in carbonates, while dynamic heterogeneity analysis reveals fracture-induced permeability contrasts exceeding 103. ...”
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Smart Wearable Technology: Thermal Management and Energy Applications

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