Jiang meng (27 Ergebnisse)

Zustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.

Hardcover. Zustand: Brand New. 135 pages. 9.44x6.61x9.61 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges in polymer science and engineering. With a growing demand for new materials with specific properties, traditional experimental methods for polymer discovery are becoming increasingly time-consuming and costly. Deep learning offers a promising solution by enabling rapid screening of potential polymers and accelerating the design process. The authors begin with essential knowledge on polymer data representations and neural network architectures, then progress to deep learning frameworks for property prediction and inverse polymer design. The book then explores both sequence-based and graph-based approaches, covering various neural network types including LSTMs, GRUs, GCNs, and GINs. Advanced topics include interpretable graph deep learning with environment-based augmentation, semi-supervised techniques for addressing label imbalance, and data-centric transfer learning using diffusion models. The book aims to solve key problems in polymer discovery, including accurate property prediction, efficient design of polymers with desired characteristics, model interpretability, handling imbalanced and limited labeled data, and leveraging unlabeled data to improve prediction accuracy.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges in polymer science and engineering. With a growing demand for new materials with specific properties, traditional experimental methods for polymer discovery are becoming increasingly time-consuming and costly. Deep learning offers a promising solution by enabling rapid screening of potential polymers and accelerating the design process. The authors begin with essential knowledge on polymer data representations and neural network architectures, then progress to deep learning frameworks for property prediction and inverse polymer design. The book then explores both sequence-based and graph-based approaches, covering various neural network types including LSTMs, GRUs, GCNs, and GINs. Advanced topics include interpretable graph deep learning with environment-based augmentation, semi-supervised techniques for addressing label imbalance, and data-centric transfer learning using diffusion models. The book aims to solve key problems in polymer discovery, including accurate property prediction, efficient design of polymers with desired characteristics, model interpretability, handling imbalanced and limited labeled data, and leveraging unlabeled data to improve prediction accuracy.…

Paperback. Zustand: Brand New. 104 pages. 9.25x6.10x9.25 inches. In Stock.

Zustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.

Zustand: New. In.

Zustand: New.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Knowledge-augmented Methods for Natural Language Processing | Meng Jiang (u. a.) | Taschenbuch | ix | Englisch | 2024 | Springer | EAN 9789819707492 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: New. KlappentextThe COVID-19 pandemic dominated the globe for at least three years, and infected a large proportion of the worldwide population. After the acute infection, many stay in poor health for months. The nature of this aftermath is n.

Zustand: New. In.

Zustand: New. In.

Zustand: New.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it 'Deep Biometrics'. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy toward deeper and wider applications.Highlights the impact of deep learning over the field of biometrics in a wide area;Exploits the deeper and wider background of biometrics, suchas privacy versus security, biometric big data, biometric genetics, and biometric diagnosis, etc.;Introduces new biometric applications such as biometric banking, internet of things, cloud computing, and medical biometrics.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it 'Deep Biometrics'. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy toward deeper and wider applications.Highlights the impact of deep learning over the field of biometrics in a wide area;Exploits the deeper and wider background of biometrics, suchas privacy versus security, biometric big data, biometric genetics, and biometric diagnosis, etc.;Introduces new biometric applications such as biometric banking, internet of things, cloud computing, and medical biometrics.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers up-to-date evidence of Rapid on-site evaluation (ROSE) for diagnosis of rare disease and used combined with metagenomic sequencing technique in clinical scenarios. ROSE has becoming an efficient interventional diagnostics tool and important reference for lung diseases differentiation, increasingthe adequacy rate, diagnostic yield and accuracy of the interventional pulmonary procedures. ROSE has its valuein the field of evaluating sampling adequacy for further immunohistochemistry, microbiology studies, flow cytometry analysis, and molecular assays; DNA analysis of biopsy specimens using sequencing technique is performed to provide clue of etiology, which is an emerging pathway for clinical dilemmas. The first part of the book discusses the principals of performing ROSE procedures and reviews the basic concepts and summarized knowledge of key anatomical structures in lung. Figures of ROSE cytopathology, together with clinical data, results of metagenomic sequencing technique are presented to demonstrate how the difficulties in clinical practice could be tackled with the help of advanced techniques. Further application direction and perspective are also discussed, which provides researchers with more insights on the discipline and techniques.This book is part of the 4-volume collection ROSE in Diagnostic Interventional Pulmonology.…

Hardcover. Zustand: Brand New. 1st edition. 359 pages. 9.50x6.50x1.00 inches. In Stock.

Paperback. Zustand: Brand New. 328 pages. 9.25x6.10x0.69 inches. In Stock.

Taschenbuch. Zustand: Neu. Rapid On-Site Evaluation (ROSE) in Diagnostic Interventional Pulmonology | Volume 4: Metagenomic Sequencing Application in Difficult Cases of Infectious Diseases | Jing Feng (u. a.) | Taschenbuch | vii | Englisch | 2021 | Springer Singapore | EAN 9789811552489 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Hardcover. Zustand: Brand New. 328 pages. 9.25x6.10x0.98 inches. In Stock.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 450 | Sprache: Englisch | Produktart: Bücher | Currently, with the popularity of smart devices, assured Position Navigation and Time (PNT) is critical for these devices and some fundamental infrastructures, i.e., the power grid. The Global Navigation Satellite System (GNSS) is dominant in providing PNT information due to its coverage and high accuracy. However, its signals are weak, and it is vulnerable; multipath and None-Line-Of-Signals (NLOS) are the major errors that occur with regard to the GNSS in applications in urban areas. Advanced signal processing methods are expected to improve its resilience and assurance. In addition, the GNSS is fragile to interference and spoofing, which should be emphasized for unmanned systems and smart devices. This Special Issue aimed to provide a platform for researchers to publish innovative work on the advanced technologies for position and navigation under GNSS signal-challenging or -denied environments.…

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Zustand: New. Provides a comprehensive and clear explanation of recent developments in sliding mode control of fractional-order systemsUnifies existing and emerging concepts concerning sliding mode control of fractional-order systemsProvides a s.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers up-to-date evidence of Rapid on-site evaluation (ROSE) for diagnosis of rare disease and used combined with metagenomic sequencing technique in clinical scenarios. ROSE has becoming an efficient interventional diagnostics tool and important reference for lung diseases differentiation, increasingthe adequacy rate, diagnostic yield and accuracy of the interventional pulmonary procedures. ROSE has its valuein the field of evaluating sampling adequacy for further immunohistochemistry, microbiology studies, flow cytometry analysis, and molecular assays; DNA analysis of biopsy specimens using sequencing technique is performed to provide clue of etiology, which is an emerging pathway for clinical dilemmas. The first part of the book discusses the principals of performing ROSE procedures and reviews the basic concepts and summarized knowledge of key anatomical structures in lung. Figures of ROSE cytopathology, together with clinical data, results of metagenomic sequencing technique are presented to demonstrate how the difficulties in clinical practice could be tackled with the help of advanced techniques. Further application direction and perspective are also discussed, which provides researchers with more insights on the discipline and techniques.This book is part of the 4-volume collection ROSE in Diagnostic Interventional Pulmonology.…

Hardcover. Zustand: Brand New. 893 pages. 9.25x6.10x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 160 pages. 10.98x8.27x0.51 inches. In Stock.