9781032767093 - cognitive fairness-aware techniques for human-machine interface (chapman & hall/crc internet of things) (18 resultados)
Cognitive Fairness-aware Techniques for Human-machine Interface
Ganesan, Vithya (EDT); Vadhani, S. Indu (EDT); Chowdhury, Subrata (EDT); Pal, Souvik (EDT); Pendyala, Vishnu S. (EDT)
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Cognitive Fairness-aware Techniques for Human-machine Interface
Ganesan, Vithya (EDT); Vadhani, S. Indu (EDT); Chowdhury, Subrata (EDT); Pal, Souvik (EDT); Pendyala, Vishnu S. (EDT)
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Cognitive Fairness-aware Techniques for Human-machine Interface
Ganesan, Vithya (EDT); Vadhani, S. Indu (EDT); Chowdhury, Subrata (EDT); Pal, Souvik (EDT); Pendyala, Vishnu S. (EDT)
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Cognitive Fairness-aware Techniques for Human-machine Interface
Ganesan, Vithya (EDT); Vadhani, S. Indu (EDT); Chowdhury, Subrata (EDT); Pal, Souvik (EDT); Pendyala, Vishnu S. (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Hardcover. Condición: Brand New. 376 pages. 9.18x6.12x9.45 inches. In Stock.
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Hardcover. Condición: new. Hardcover. This book explores the critical issue of fairness in human-machine interfaces. It delves into the integration of technology and cognitive science to develop AI systems that are unbiased, reliable, and user-friendly. The book also sheds light on emotional data processing in AI accelerators an…d federated learning modules. Additionally, it covers machine learning, knowledge representation, and the application of knowledge graphs to understand and optimize the behaviour of AI assistance devices.Features:Explains complex issues of Cognitive Fairness Aware Contextual Proactive Federated Protocol collects data and identifies individual emotional issues and resolves them by contextual solitary proactive communicationDiscusses emotional data processing challenges through AI accelerator with federated learning module to generate periodical counselling messagesAddresses data analysis anomalies in Graph Database Modelling by anom-aly prediction and anomaly detectionDescribes anomaly detection techniques in the form of abnormal data records, messages, events, groups, and/or other unexpected observations in graph database modellingExplains how outlier detection for data analysis deals with the detection of patterns in Graph DatabaseThis book is for researchers, academics, students, AI practitioners and developers, ethics experts in AI technology and machine-learning practitioners interested in fairness in human-machine interfaces. This book explores the critical issue of fairness in human-machine interfaces. It delves into the integration of technology and cognitive science to develop AI systems that are unbiased, reliable, and user-friendly.The book also sheds light on emotional data processing in AI accelerators and federated learning modules. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 259,13
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Hardcover. Condición: new. Hardcover. This book explores the critical issue of fairness in human-machine interfaces. It delves into the integration of technology and cognitive science to develop AI systems that are unbiased, reliable, and user-friendly. The book also sheds light on emotional data processing in AI accelerators an…d federated learning modules. Additionally, it covers machine learning, knowledge representation, and the application of knowledge graphs to understand and optimize the behaviour of AI assistance devices.Features:Explains complex issues of Cognitive Fairness Aware Contextual Proactive Federated Protocol collects data and identifies individual emotional issues and resolves them by contextual solitary proactive communicationDiscusses emotional data processing challenges through AI accelerator with federated learning module to generate periodical counselling messagesAddresses data analysis anomalies in Graph Database Modelling by anom-aly prediction and anomaly detectionDescribes anomaly detection techniques in the form of abnormal data records, messages, events, groups, and/or other unexpected observations in graph database modellingExplains how outlier detection for data analysis deals with the detection of patterns in Graph DatabaseThis book is for researchers, academics, students, AI practitioners and developers, ethics experts in AI technology and machine-learning practitioners interested in fairness in human-machine interfaces. This book explores the critical issue of fairness in human-machine interfaces. It delves into the integration of technology and cognitive science to develop AI systems that are unbiased, reliable, and user-friendly.The book also sheds light on emotional data processing in AI accelerators and federated learning modules. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 259,93
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Hardcover. Condición: new. Hardcover. This book explores the critical issue of fairness in human-machine interfaces. It delves into the integration of technology and cognitive science to develop AI systems that are unbiased, reliable, and user-friendly. The book also sheds light on emotional data processing in AI accelerators an…d federated learning modules. Additionally, it covers machine learning, knowledge representation, and the application of knowledge graphs to understand and optimize the behaviour of AI assistance devices.Features:Explains complex issues of Cognitive Fairness Aware Contextual Proactive Federated Protocol collects data and identifies individual emotional issues and resolves them by contextual solitary proactive communicationDiscusses emotional data processing challenges through AI accelerator with federated learning module to generate periodical counselling messagesAddresses data analysis anomalies in Graph Database Modelling by anom-aly prediction and anomaly detectionDescribes anomaly detection techniques in the form of abnormal data records, messages, events, groups, and/or other unexpected observations in graph database modellingExplains how outlier detection for data analysis deals with the detection of patterns in Graph DatabaseThis book is for researchers, academics, students, AI practitioners and developers, ethics experts in AI technology and machine-learning practitioners interested in fairness in human-machine interfaces. This book explores the critical issue of fairness in human-machine interfaces. It delves into the integration of technology and cognitive science to develop AI systems that are unbiased, reliable, and user-friendly.The book also sheds light on emotional data processing in AI accelerators and federated learning modules. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: moluna, Greven, Alemaniamoluna
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EUR 256,86
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Vithya Ganesan, PhD is a professor in the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. Currently Principal Investigator to develop a devic…e for visually challenged peop.
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 266,25
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Buch. Condición: Neu. Cognitive Fairness-Aware Techniques for Human-Machine Interface | Vithya Ganesan (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | Chapman and Hall/CRC | EAN 9781032767093 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preig…u Print on Demand.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 335,00
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores the critical issue of fairness in human-machine interfaces. It delves into the integration of technology and cognitive science to develop AI systems that are unbiased, reliable, and user-friendly.The book also sheds light on…emotional data processing in AI accelerators and federated learning modules.
