Order Total (1 Item Items):
Shipping Destination:
M G Sumithra Rajesh Kumar Dhanaraj (44 results)
Feedback
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (44)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition
Binding
- All Bindings
- Hardcover (44)
- Softcover (No further results match this refinement)
Collectible Attributes
- First Edition (1)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (21)
- Not Print on Demand (40)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
£ 12.43
Convert currency£ 7.62 shipping from Germany to United KingdomQuantity: 1 available
Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 208 | Sprache: Englisch | Produktart: Bücher.
-
Brain-Computer Interface (Hardcover)
Published by John Wiley & Sons Inc, New York, 2023
ISBN 10: 1119857201 ISBN 13: 9781119857204
Language: English
Hardcover. Condition: 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.
-
Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Deep Learning for Cognitive Computing Systems
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
£ 134.18
Convert currencyFree shipping from U.S.A. to United KingdomQuantity: 3 available
Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications (Smart Computing Applications, 7)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 132.80
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketCondition: New. In.
-
Brain-Computer Interface (Hardcover)
Published by John Wiley & Sons Inc, New York, 2023
ISBN 10: 1119857201 ISBN 13: 9781119857204
Language: English
£ 100.93
Convert currency£ 37.22 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketHardcover. Condition: 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.
-
Brain-Computer Interface (Hardcover)
Published by John Wiley & Sons Inc, New York, 2023
ISBN 10: 1119857201 ISBN 13: 9781119857204
Language: English
£ 111.15
Convert currency£ 27.54 shipping from Australia to United KingdomQuantity: 1 available
Add to basketHardcover. Condition: 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.
-
£ 124.72
Convert currency£ 14.88 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Brain-computer Interface : Using Deep Learning Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 137.92
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketCondition: New.
-
Brain-Computer Interface
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
£ 132.20
Convert currency£ 11.97 shipping from Germany to United KingdomQuantity: 4 available
Add to basketBuch. Condition: 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.
-
£ 131.48
Convert currency£ 14.88 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketCondition: New.
-
Condition: New.
-
£ 149.39
Convert currencyFree shipping from U.S.A. to United KingdomQuantity: 2 available
Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
£ 141.18
Convert currency£ 14.88 shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketCondition: New.
-
Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
£ 157.61
Convert currency£ 2.57 shipping from Ireland to United KingdomQuantity: 3 available
Add to basketCondition: New. 2022. Hardcover. . . . . .
-
Deep Learning for Cognitive Computing Systems
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 132.20
Convert currency£ 29.96 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: 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.
-
£ 156.92
Convert currency£ 6.70 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketCondition: New.
-
£ 143.91
Convert currency£ 21.39 shipping from Germany to United KingdomQuantity: 3 available
Add to basketCondition: New.
-
Brain-computer Interface : Using Deep Learning Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 160.97
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
£ 160.22
Convert currency£ 14.88 shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
£ 168.47
Convert currency£ 6.80 shipping from Germany to United KingdomQuantity: 1 available
Add to basketCondition: New.
-
£ 155.71
Convert currency£ 21.39 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: 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
Published by John Wiley & Sons Inc, 2023
ISBN 10: 1119857201 ISBN 13: 9781119857204
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
£ 180.15
Convert currency£ 2.57 shipping from Ireland to United KingdomQuantity: 20 available
Add to basketCondition: New. 2023. 1st Edition. Hardback. . . . . .
-
Brain-Computer Interface: Using Deep Learning Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 180.83
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketCondition: New. In.
-
£ 187.58
Convert currency£ 2.23 shipping from U.S.A. to United KingdomQuantity: 3 available
Add to basketCondition: New. 2022. Hardcover. . . . . . Books ship from the US and Ireland.
-
Hardcover. Condition: Brand New. 500 pages. 9.33x6.30x0.91 inches. In Stock.
-
Computational Intelligence in Internet of Agricultural Things
Published by Springer Nature Switzerland, Springer International Publishing, 2024
ISBN 10: 3031674499 ISBN 13: 9783031674495
Language: English
£ 188.66
Convert currency£ 11.97 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: 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.
