algorithms advanced artificial intelligence (51 resultados)

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Paperback. Condición: new. Paperback. The most common form of severe dementia, Alzheimers disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNNs meticulous approach to Alzheimers diagnosis. Convolutional neural networks were used in an effort to sense Alzheimers disease in its early stages using a big collection of pictures of facial expressions. The most common form of severe dementia, Alzheimers disease (AD), is a cumulative neurological disorder. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. The most common form of severe dementia, Alzheimers disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNNs meticulous approach to Alzheimers diagnosis. Convolutional neural networks were used in an effort to sense Alzheimers disease in its early stages using a big collection of pictures of facial expressions. The most common form of severe dementia, Alzheimers disease (AD), is a cumulative neurological disorder. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condición: new. Paperback. Algorithms in Advanced Artificial Intelligence is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. It addresses the growing attention to advanced technologies due to their ability to provide paranormal solutions to problems associated with classical Artificial Intelligence frameworks. AI is used in various subfields, including learning, perception, and financial decisions. It uses four strategies: Thinking Humanly, Thinking Rationally, Acting Humanly, and Acting Rationally. The authors address various issues in ICT, including Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Vision, Internet of Things, Security and Privacy aspects in AI, and Blockchain and Digital Twin Integrated Applications in AI. This is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. Algorithms in Advanced Artificial Intelligence is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. It addresses the growing attention to advanced technologies due to their ability to provide paranormal solutions to problems associated with classical Artificial Intelligence frameworks. AI is used in various subfields, including learning, perception, and financial decisions. It uses four strategies: Thinking Humanly, Thinking Rationally, Acting Humanly, and Acting Rationally. The authors address various issues in ICT, including Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Vision, Internet of Things, Security and Privacy aspects in AI, and Blockchain and Digital Twin Integrated Applications in AI. This is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Quantum Algorithms for Advanced Artificial Intelligence explores the transformative potential of quantum computing in the realm of artificial intelligence. It investigates how quantum algorithms can accelerate machine learning processes, optimize complex data analysis, and enhance decision-making systems. The book provides a comprehensive overview of quantum-enhanced techniques, emphasizing their role in solving problems that are intractable for classical computers. It is a vital resource for understanding the intersection of quantum mechanics and AI, highlighting innovative approaches to computational intelligence. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. The rapidly evolving landscape of artificial intelligence demands innovative solutions that can effectively harness the power of quantum mechanics to enhance performance and efficiency. Quantum Algorithms for Advanced Artificial Intelligence presents a comprehensive exploration of this exciting field, examining the fundamental principles that govern the behavior of quantum systems in artificial intelligence applications. From the quantum algorithms that underlie these applications to the quantum-driven enhancement of performance and efficiency, this book provides a thorough examination of the key mechanisms and processes that underlie this fascinating intersection of quantum and artificial intelligence phenomena. By shedding light on the intricate relationships between quantum mechanics and artificial intelligence, this book provides a valuable resource for researchers and scientists seeking to advance our understanding of the quantum world. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

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Paperback. Condición: new. Paperback. Algorithms in Advanced Artificial Intelligence is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. It addresses the growing attention to advanced technologies due to their ability to provide paranormal solutions to problems associated with classical Artificial Intelligence frameworks. AI is used in various subfields, including learning, perception, and financial decisions. It uses four strategies: Thinking Humanly, Thinking Rationally, Acting Humanly, and Acting Rationally. The authors address various issues in ICT, including Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Vision, Internet of Things, Security and Privacy aspects in AI, and Blockchain and Digital Twin Integrated Applications in AI. This is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. The most common form of severe dementia, Alzheimers disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNNs meticulous approach to Alzheimers diagnosis. Convolutional neural networks were used in an effort to sense Alzheimers disease in its early stages using a big collection of pictures of facial expressions. The most common form of severe dementia, Alzheimers disease (AD), is a cumulative neurological disorder. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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