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Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 208 | Sprache: Englisch | Produktart: Bücher.
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Deep Learning for Cognitive Computing Systems
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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EUR 144,51
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Learning for Cognitive Computing Systems
Da: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 155,42
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 144,08
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Brain-Computer Interface (Hardcover)
Editore: John Wiley & Sons Inc, New York, 2023
ISBN 10: 1119857201 ISBN 13: 9781119857204
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
Valutazione del venditore 5 su 5 stelle
EUR 129,38
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. BRAIN-COMPUTER INTERFACE It covers all the research prospects and recent advancements in the brain-computer interface using deep learning. The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world. For example, creating communication or control applications for locked-in patients who have no control over their bodies will be one such use. Recently, from communication to marketing, recovery, care, mental state monitoring, and entertainment, the possible application areas have been expanding. Machine learning algorithms have advanced BCI technology in the last few decades, and in the sense of classification accuracy, performance standards have been greatly improved. For BCI to be effective in the real world, however, some problems remain to be solved. Research focusing on deep learning is anticipated to bring solutions in this regard. Deep learning has been applied in various fields such as computer vision and natural language processing, along with BCI growth, outperforming conventional approaches to machine learning. As a result, a significant number of researchers have shown interest in deep learning in engineering, technology, and other industries; convolutional neural network (CNN), recurrent neural network (RNN), and generative adversarial network (GAN). Audience Researchers and industrialists working in brain-computer interface, deep learning, machine learning, medical image processing, data scientists and analysts, machine learning engineers, electrical engineering, and information technologists. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 144,50
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Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 146,35
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Deep Learning for Cognitive Computing Systems
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 149,95
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.Walter de Gruyter, Genthiner Straße 13, 10785 Berlin 214 pp. Englisch.
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Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications (Smart Computing Applications, 7)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 159,74
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EUR 149,95
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.
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Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 152,30
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Aggiungi al carrelloCondizione: New.
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Brain-Computer Interface (Hardcover)
Editore: John Wiley & Sons Inc, New York, 2023
ISBN 10: 1119857201 ISBN 13: 9781119857204
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 136,51
Convertire valutaEUR 35,04 per la spedizione da Regno Unito a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. BRAIN-COMPUTER INTERFACE It covers all the research prospects and recent advancements in the brain-computer interface using deep learning. The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world. For example, creating communication or control applications for locked-in patients who have no control over their bodies will be one such use. Recently, from communication to marketing, recovery, care, mental state monitoring, and entertainment, the possible application areas have been expanding. Machine learning algorithms have advanced BCI technology in the last few decades, and in the sense of classification accuracy, performance standards have been greatly improved. For BCI to be effective in the real world, however, some problems remain to be solved. Research focusing on deep learning is anticipated to bring solutions in this regard. Deep learning has been applied in various fields such as computer vision and natural language processing, along with BCI growth, outperforming conventional approaches to machine learning. As a result, a significant number of researchers have shown interest in deep learning in engineering, technology, and other industries; convolutional neural network (CNN), recurrent neural network (RNN), and generative adversarial network (GAN). Audience Researchers and industrialists working in brain-computer interface, deep learning, machine learning, medical image processing, data scientists and analysts, machine learning engineers, electrical engineering, and information technologists. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Brain-Computer Interface
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 166,93
Convertire valutaEUR 6,14 per la spedizione da Regno Unito a ItaliaQuantità: 2 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Brain-Computer Interface
Da: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 173,04
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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EUR 163,23
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Aggiungi al carrelloCondizione: New.
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Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications: 7
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 168,30
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Brain-computer Interface : Using Deep Learning Applications
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 163,11
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Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Valutazione del venditore 5 su 5 stelle
EUR 178,77
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Aggiungi al carrelloCondizione: New. 2022. Hardcover. . . . . .
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Brain-computer Interface : Using Deep Learning Applications
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 165,90
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Brain-Computer Interface (Hardcover)
Editore: John Wiley & Sons Inc, New York, 2023
ISBN 10: 1119857201 ISBN 13: 9781119857204
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 116,91
Convertire valutaEUR 64,66 per la spedizione da U.S.A. a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. BRAIN-COMPUTER INTERFACE It covers all the research prospects and recent advancements in the brain-computer interface using deep learning. The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world. For example, creating communication or control applications for locked-in patients who have no control over their bodies will be one such use. Recently, from communication to marketing, recovery, care, mental state monitoring, and entertainment, the possible application areas have been expanding. Machine learning algorithms have advanced BCI technology in the last few decades, and in the sense of classification accuracy, performance standards have been greatly improved. For BCI to be effective in the real world, however, some problems remain to be solved. Research focusing on deep learning is anticipated to bring solutions in this regard. Deep learning has been applied in various fields such as computer vision and natural language processing, along with BCI growth, outperforming conventional approaches to machine learning. As a result, a significant number of researchers have shown interest in deep learning in engineering, technology, and other industries; convolutional neural network (CNN), recurrent neural network (RNN), and generative adversarial network (GAN). Audience Researchers and industrialists working in brain-computer interface, deep learning, machine learning, medical image processing, data scientists and analysts, machine learning engineers, electrical engineering, and information technologists. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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EUR 176,62
Convertire valutaEUR 9,70 per la spedizione da Germania a ItaliaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. M. G. Sumithra, PhD, is a professor at Anna University Chennai, India. With 25 years of teaching experience, she has published more than 70 technical papers in refereed journals, 3 book chapters, and 130 research papers in national and international confere.
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Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications: 7
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
EUR 181,76
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Brain-computer Interface : Using Deep Learning Applications
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 185,58
Convertire valutaEUR 17,23 per la spedizione da U.S.A. a ItaliaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications: 7
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 191,09
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Brain-Computer Interface: Using Deep Learning Applications
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Valutazione del venditore 5 su 5 stelle
Prima edizione
EUR 204,34
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Aggiungi al carrelloCondizione: New. 2023. 1st Edition. Hardback. . . . . .
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Brain-computer Interface : Using Deep Learning Applications
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 193,63
Convertire valutaEUR 17,52 per la spedizione da Regno Unito a ItaliaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications
Da: Kennys Bookstore, Olney, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 217,28
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Aggiungi al carrelloCondizione: New. 2022. Hardcover. . . . . . Books ship from the US and Ireland.
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Brain-Computer Interface: Using Deep Learning Applications
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 217,51
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Aggiungi al carrelloCondizione: New. In.
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Computational Intelligence in Internet of Agricultural Things
Editore: Springer Nature Switzerland, Springer International Publishing Aug 2024, 2024
ISBN 10: 3031674499 ISBN 13: 9783031674495
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 213,99
Convertire valutaEUR 15,00 per la spedizione da Germania a ItaliaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This book focuses on the integration of IoT and AI techniques to generate greater data-driven solutions for the agriculture industry. It also focuses on computational intelligence (CI), machine learning, and AI techniques along with current applications, obstacles, and potential challenges and solutions for agricultural industries. These technologies have the potential to curtail resource wastage and contribute to addressing the challenges of feeding the expanding global population. This book acts as a resource to augment the reader's comprehension of the role of emerging IT technologies in the agricultural sector. This book also covers key technologies and techniques such as AI, ML, and IoT in the development of smart agriculture and provides information on various types of smart farming technology, platforms, and machine learning algorithms with case studies based on real-time problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 472 pp. Englisch.
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Computational Intelligence in Internet of Agricultural Things
Editore: Springer Nature Switzerland, Springer International Publishing, 2024
ISBN 10: 3031674499 ISBN 13: 9783031674495
Lingua: Inglese
EUR 213,99
Convertire valutaEUR 14,99 per la spedizione da Germania a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the integration of IoT and AI techniques to generate greater data-driven solutions for the agriculture industry. It also focuses on computational intelligence (CI), machine learning, and AI techniques along with current applications, obstacles, and potential challenges and solutions for agricultural industries. These technologies have the potential to curtail resource wastage and contribute to addressing the challenges of feeding the expanding global population. This book acts as a resource to augment the reader's comprehension of the role of emerging IT technologies in the agricultural sector. This book also covers key technologies and techniques such as AI, ML, and IoT in the development of smart agriculture and provides information on various types of smart farming technology, platforms, and machine learning algorithms with case studies based on real-time problems.
