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This book explores the critical challenges and emerging trends in... Læs mere
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The text comprehensively discusses the implementation of sensor systems using artificial intelligence, quantum device and circuit with artificial intelligence, and biomedical implementation of artificial intelligence-based optoelectronic circuits.
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Upper level textbook on the science and technologies needed for renewable energy. It looks at energy transmitted from the sun as radiation through the Earth's atmosphere. The book covers turbine technology, hydroelectric power and pumped-hydro energy storage.
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This book aims to present the concept of Solvent Engineering within a broad scope, ranging from mixtures of solvents to achieve the desired solvation properties, to stimuli-responsive solvents.
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The new edition will have separate volumes for computer vision and human-based vision applications. The first volume, Computer Vision and Image... Læs mere
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This set focuses on the use of very low-temperature geothermal energy for heating and cooling residential, institutional, and industrial buildings and describes the benefits, design, and installation requirements of commercial/institutional building ground-source heat pumps.
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Thoroughly updated with a new chapter and extensive use of case studies to showcase examples of sustainable practices, this edition discusses many... Læs mere
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Mathematical Modelling of Aerospace Dynamic Systems with Practical Applications provides mathematical models for several aerospace dynamic systems: aircraft, rotorcraft, missile, UAVs, MAVs, autonomous underwater vehicles (AUWVs), and satellite-coordinate systems.
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This book explores the critical need for a holistic understanding of order and intelligence amid advances in AI and hyperconnectivity.
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"Advancing Healthcare through Data-Driven Innovations" explores how technologies like data analytics, big data, machine learning, and blockchain can revolutionize healthcare.
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The text describes how the design, analyzing capacity, and optimization criteria of mechatronics systems can be improved using numerical, experimental, and computational approaches, and how it helps in data sensing, fault detection, and diagnosis.