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Synopsis
Vibrational spectroscopy is a cornerstone in molecular analysis, offering detailed insights into chemical compositions and dynamics. Recent years have witnessed a paradigm shift with the integration of deep learning, which excels in automatically extracting intricate patterns from raw spectral data, bypassing traditional preprocessing steps. This synergy has significantly enhanced the precision and speed of applications ranging from material science to biomedical diagnostics. This book comprehensively explores the transformative impact of deep learning on vibrational spectroscopy modeling, emphasizing its superiority over traditional machine learning approaches. This book also provides an overview of the latest research and applications in vibrational spectroscopy over the past three years and offers insights into future directions for spectroscopic modeling in the face of big data challenges.
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Progress and Applications of Deep Learning in Vibrational Spectroscopy
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Progress and Applications of Deep Learning in Vibrational Spectroscopy
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LAP LAMBERT Academic Publishing, 2025
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Progress and Applications of Deep Learning in Vibrational Spectroscopy
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Progress and Applications of Deep Learning in Vibrational Spectroscopy
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Progress and Applications of Deep Learning in Vibrational Spectroscopy (Paperback)
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Paperback. Condition: new. Paperback. Vibrational spectroscopy is a cornerstone in molecular analysis, offering detailed insights into chemical compositions and dynamics. Recent years have witnessed a paradigm shift with the integration of deep learning, which excels in automatically extracting intricate patterns from raw spectral data, bypassing traditional preprocessing steps. This synergy has significantly enhanced the precision and speed of applications ranging from material science to biomedical diagnostics. This book comprehensively explores the transformative impact of deep learning on vibrational spectroscopy modeling, emphasizing its superiority over traditional machine learning approaches. This book also provides an overview of the latest research and applications in vibrational spectroscopy over the past three years and offers insights into future directions for spectroscopic modeling in the face of big data challenges. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786208459758
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Progress and Applications of Deep Learning in Vibrational Spectroscopy
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Taschenbuch. Condition: Neu. Progress and Applications of Deep Learning in Vibrational Spectroscopy | Congli Mei (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208459758 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 134016629
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Progress and Applications of Deep Learning in Vibrational Spectroscopy
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Vibrational spectroscopy is a cornerstone in molecular analysis, offering detailed insights into chemical compositions and dynamics. Recent years have witnessed a paradigm shift with the integration of deep learning, which excels in automatically extracting intricate patterns from raw spectral data, bypassing traditional preprocessing steps. This synergy has significantly enhanced the precision and speed of applications ranging from material science to biomedical diagnostics. This book comprehensively explores the transformative impact of deep learning on vibrational spectroscopy modeling, emphasizing its superiority over traditional machine learning approaches. This book also provides an overview of the latest research and applications in vibrational spectroscopy over the past three years and offers insights into future directions for spectroscopic modeling in the face of big data challenges.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 248 pp. Englisch. Seller Inventory # 9786208459758
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Progress and Applications of Deep Learning in Vibrational Spectroscopy
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Progress and Applications of Deep Learning in Vibrational Spectroscopy
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Progress and Applications of Deep Learning in Vibrational Spectroscopy
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