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- n/a 30
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- machine learning 21
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- particle swarm optimization 5
- reinforcement learning 5
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Quality of Service (QoS)
Publié 2025“…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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Computational Methods and Application in Machine Learning
Publié 2025“…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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Today's TBB
Publié 2025“…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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Personalized Management in Orthopedics and Traumatology
Publié 2025Accéder au texte intégral
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Advances in Solar Technologies
Publié 2025“…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
Publié 2025“…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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Advances in Reservoir Simulation
Publié 2025“…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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