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Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1041076460 ISBN 13 : 9781041076469
Langue: anglais
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Ajouter au panierPaperback. Etat : 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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Edité par Taylor & Francis Ltd, London, 2024
ISBN 10 : 1032867981 ISBN 13 : 9781032867984
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Ajouter au panierPaperback. Etat : 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.
Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1041076460 ISBN 13 : 9781041076469
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Ajouter au panierPaperback. Etat : 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.
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Edité par Taylor & Francis Ltd, London, 2024
ISBN 10 : 1032867981 ISBN 13 : 9781032867984
Langue: anglais
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Ajouter au panierPaperback. Etat : 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.
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Edité par Taylor & Francis Ltd, London, 2024
ISBN 10 : 1032867981 ISBN 13 : 9781032867984
Langue: anglais
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Ajouter au panierPaperback. Etat : 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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Ajouter au panierGebunden. Etat : New. KlappentextThe simulation of intelligence in machines is termed as artificial intelligence (AI). The understanding and development of AI is built on the principles of mathematics, computer science, linguistics and information engineering.
EUR 126,04
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Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1041076460 ISBN 13 : 9781041076469
Langue: anglais
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Ajouter au panierPaperback. Etat : 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.
Edité par States Academic Press, US, 2022
ISBN 10 : 1639890610 ISBN 13 : 9781639890613
Langue: anglais
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