Sumithra m g (70 resultados)

Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications
Sumithra, M. G. (EDT); Dhanaraj, Rajesh Kumar (EDT); Iwendi, Celestine (EDT); Manoharan, Anto Merline (EDT)
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EUR 100,48
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Hardcover. Condición: new. Hardcover. 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 utiliz…ing heterogeneous data sets and generating meaningful insights. 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 syst Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 100,64
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Hardback. Condición: New. 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 heteroge…neous data sets and generating meaningful insights.

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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 104,15
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Condición: New. In.

Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications
Sumithra, M. G. (EDT); Dhanaraj, Rajesh Kumar (EDT); Iwendi, Celestine (EDT); Manoharan, Anto Merline (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 115,86
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Condición: As New. Unread book in perfect condition.

Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications
Sumithra, M. G. (EDT); Dhanaraj, Rajesh Kumar (EDT); Iwendi, Celestine (EDT); Manoharan, Anto Merline (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 101,14
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
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EUR 122,28
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Hardback. Condición: New. 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 heteroge…neous data sets and generating meaningful insights.

Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications: 7 (Smart Computing Applications, 7)
M.G. Sumithra/ Rajesh Kumar Dhanaraj/ Celestine Iwendi/ Anto Merline Manoharan
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 120,89
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Hardcover. Condición: Brand New. 312 pages. 9.45x6.69x0.67 inches. In Stock.

Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications
Sumithra, M. G. (EDT); Dhanaraj, Rajesh Kumar (EDT); Iwendi, Celestine (EDT); Manoharan, Anto Merline (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 116,40
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Condición: As New. Unread book in perfect condition.

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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 106,64
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Hardcover. Condición: new. Hardcover. 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 utiliz…ing heterogeneous data sets and generating meaningful insights. 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 syst Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications: 7 (Smart Computing Applications, 7)
M.G. SumithraRajesh Kumar Dhanaraj,Celestine Iwendi,Anto Merline Manoharan,
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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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EUR 132,07
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hardcover. Condición: New.

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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 159,22
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Hardcover. Condición: 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 exper…iences 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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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
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EUR 124,85
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Hardback. Condición: New. 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 heteroge…neous data sets and generating meaningful insights.

Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications: 7 (Smart Computing Applications, 7)
M.G. Sumithra,Rajesh Kumar Dhanaraj,Celestine Iwendi,Anto Merline Manoharan
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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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EUR 151,68
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Hardcover. Condición: New.

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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 101,15
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Hardback. Condición: New. 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 heteroge…neous data sets and generating meaningful insights.

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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 155,69
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Hardcover. Condición: 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 exper…iences 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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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 172,68
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Condición: New. 2022. Hardcover. . . . . .

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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 188,81
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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Brain-computer Interface : Using Deep Learning Applications
Sumithra, M. G. (EDT); Dhanaraj, Rajesh Kumar (EDT); Milanova, Mariofanna (EDT); Balusamy, Balamurugan (EDT); Chandran, V. (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 190,04
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Condición: New.

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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 153,38
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Hardcover. Condición: 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 exper…iences 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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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 185,49
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Condición: new.

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EUR 192,62
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Condición: new.

Brain-computer Interface : Using Deep Learning Applications
Sumithra, M. G. (EDT); Dhanaraj, Rajesh Kumar (EDT); Milanova, Mariofanna (EDT); Balusamy, Balamurugan (EDT); Chandran, V. (EDT)
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 188,80
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Condición: New.

Brain-computer Interface : Using Deep Learning Applications
Sumithra, M. G. (EDT); Dhanaraj, Rajesh Kumar (EDT); Milanova, Mariofanna (EDT); Balusamy, Balamurugan (EDT); Chandran, V. (EDT)
- Tapa dura
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 206,89
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Condición: As New. Unread book in perfect condition.

Deep Learning for Cognitive Computing Systems
M.g. Sumithra|Rajesh Kumar Dhanaraj|Celestine Iwendi|Anto Merline Manoharan
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Librería: moluna, Greven, Alemaniamoluna
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EUR 163,18
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Condición: New.

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Librería: moluna, Greven, Alemaniamoluna
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EUR 166,35
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Gebunden. Condición: 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.

Brain-computer Interface : Using Deep Learning Applications
Sumithra, M. G. (EDT); Dhanaraj, Rajesh Kumar (EDT); Milanova, Mariofanna (EDT); Balusamy, Balamurugan (EDT); Chandran, V. (EDT)
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 207,76
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Condición: As New. Unread book in perfect condition.

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Librería: Buchpark, Trebbin, AlemaniaBuchpark
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EUR 112,16
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Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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 compu…ting systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.