Deep learning emerging engineering (4 Ergebnisse)
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Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Deep learning has fundamentally transformed engineering practice, enabling unprecedented capabilities in pattern recognition, predictive analytics, and automated decision-making across diverse domains. This edited book presents cutting-edge rese…arch at the intersection of artificial intelligence and engineering, featuring contributions that span theoretical foundations, methodological innovations, and real-world applications. From explainable AI frameworks that bridge the gap between model accuracy and interpretability in safety-critical systems, to language-specific transformer models for detecting hate speech in Turkish social media, the chapters illustrate how deep learning architectures must be thoughtfully adapted to address domain-specific challenges. The book explores petroleum demand forecasting in Nigeria's transitioning energy sector, demonstrating how machine learning algorithms can optimize supply chains and inform policy decisions, alongside comprehensive investigations of BERT-based keyword extraction for morphologically complex languages such as Arabic and Turkish. By synthesizing advances in convolutional neural networks, recurrent architectures, and transformer models, this book offers both academic insights and practical guidance for researchers, engineers, and practitioners seeking to harness the full potential of deep learning. 114 pp. Englisch.
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 114 pp. Englisch.
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep learning has fundamentally transformed engineering practice, enabling unprecedented capabilities in pattern recognition, predictive analytics, and automated decision-making across diverse domains. This edited book presents cutting-edge resea…rch at the intersection of artificial intelligence and engineering, featuring contributions that span theoretical foundations, methodological innovations, and real-world applications. From explainable AI frameworks that bridge the gap between model accuracy and interpretability in safety-critical systems, to language-specific transformer models for detecting hate speech in Turkish social media, the chapters illustrate how deep learning architectures must be thoughtfully adapted to address domain-specific challenges. The book explores petroleum demand forecasting in Nigeria's transitioning energy sector, demonstrating how machine learning algorithms can optimize supply chains and inform policy decisions, alongside comprehensive investigations of BERT-based keyword extraction for morphologically complex languages such as Arabic and Turkish. By synthesizing advances in convolutional neural networks, recurrent architectures, and transformer models, this book offers both academic insights and practical guidance for researchers, engineers, and practitioners seeking to harness the full potential of deep learning.
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Buch. Zustand: Neu. Deep Learning with Emerging Engineering Applications | Buch | Artificial Intelligence, Volume 48 | Englisch | 2026 | IntechOpen | EAN 9781836349112 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
