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This book covers deep learning-based communication frameworks for multiuser detection and sparse channel estimation and elaborates discussion on deep learning-based ultra-dense cell communication and sensor networks and ad-hoc communication.
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The book offers a comprehensive overview of quantum mechanics principles that form the basis of quantum computing, simplifying complex concepts like... Læs mere
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This book combines modern Artificial Intelligence (AI) and inclusive education learning systems methodologies. The book also provides extensive discussion and methodologies related to STEM education to enhance future education.
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Federated Intelligence: Unlocking Privacy-Preserving and Cyber Resilience using AI in the Finance Industry" is an edited volume designed to explores how Federated Intelligence can help the finance industry defend against cyber threats, detect fraud, and comply with regulations.
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The book explores quantum computing's transformative impact on artificial intelligence and machine learning. Beyond theoretical knowledge, the book emphasizes practical implementation and offers code samples and real-world case studies.
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Research Advances in Intelligent Computing: Volume 3 explores this dynamic field, where artificial intelligence (AI) and computational models converge to create systems capable of learning, reasoning, and problem-solving.
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This book explores how Pega Cloud 3 leverages agentic AI, Google Cloud Platform and Amazon Web Services to... Læs mere
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For R programmers, the R interface to the Keras deep learning library is a powerful head start on building deep learning models without switching to Python. It... Læs mere
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Since its initial release in 1996, PostgreSQL, aka Postgres, has grown into the most popular and powerful full-featured open source RDBMS available. Just Use Postgres! takes a modern... Læs mere
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Perfect for cost- or hardware-constrained environments, Small Language Models (SLMs) train on domain specific data for high-quality results in specific tasks. In... Læs mere
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In Deep Learning with PyTorch, Second Edition, you’ll learn how to create your own neural network and deep learning systems and take full advantage of PyTorch’s... Læs mere