Articoli correlati a Trustworthy Computer Vision for Real-World Image Processing:...
Trustworthy Computer Vision for Real-World Image Processing: Robustness, Efficiency, and Deployment - Brossura
Informazioni sull'autore
Manar Alkhatib is an Assistant Professor of Artificial Intelligence at the British University in Dubai, with over 16 years of combined academic and industry experience in AI. Her expertise spans deep learning, machine learning, speech recognition, and natural language processing, with a particular focus on Arabic and multilingual AI applications. She leads interdisciplinary, funded research projects in collaboration with institutional and industry partners, including Zayed University and Blaize. Her research interests include deep learning architectures, speech and language processing, sentiment analysis, and AI-driven smart city solutions, with strong emphasis on real-world impact in education, legal systems, and public opinion monitoring. Dr. Alkhatib has published extensively in Q1 journals and reputable international conferences. Dr. Alkhatib has supervised many PhD and master’s students, providing advanced guidance in AI model development, NLP pipelines, and high-impact research publications. Her academic mentorship reflects a strong commitment to research excellence, capacity building, and interdisciplinary innovation. Her professional goal is to contribute to research leadership roles that integrate advanced AI research, postgraduate supervision, and ethically responsible AI solutions that support sustainable technological development.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Trustworthy Computer Vision for Real-World Image Processing:...
Foto dell'editore
Trustworthy Computer Vision for Real-World Image Processing: Robustness, Efficiency, and Deployment
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. Codice articolo I-9798337392868
Compra nuovo
EUR 174,10
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Trustworthy Computer Vision for Real-World Image Processing | Robustness, Efficiency, and Deployment
Print on DemandDa: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Trustworthy Computer Vision for Real-World Image Processing | Robustness, Efficiency, and Deployment | Manar Alkhatib | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337392868 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 136774455
Compra nuovo
EUR 290,25
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili
Immagini fornite dal venditore
Trustworthy Computer Vision for Real-World Image Processing : Robustness, Efficiency, and Deployment
Print on DemandDa: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computer vision has achieved remarkable success in controlled research environments, yet its deployment in real-world settings remains constrained by data variability, limited resources, security risks, and trust-related concerns. In practice, vision systems must operate reliably under noise, changing illumination, sensor imperfections, and shifting data distributions while adapting to dynamic environments. These challenges are amplified in safety-critical and socially sensitive contexts, where errors can carry significant consequences. As a result, building robust, secure, and trustworthy real-world image processing systems remains a central priority. Trustworthy Computer Vision for Real-World Image Processing: Robustness, Efficiency, and Deployment addresses the growing gap between laboratory-scale vision models and deployable, dependable systems. This book emphasizes robustness, computational efficiency, explainability, fairness, privacy preservation, and operational reliability as foundational requirements for modern computer vision applications. Rather than focusing solely on model accuracy, the book adopts a holistic perspective that considers trustworthiness across the full system lifecycle. Covering topics such as adversarial robustness and security, predictive maintenance in smart mining, and self-supervised representation learning, this book is an essential academic resource for graduate and doctoral students, computer vision engineers, software engineers, AI governance experts, policymakers, and more. Codice articolo 9798337392868
Compra nuovo
EUR 379,06
Spedizione EUR 30,50
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili