Classification in BioApps, Nilanjan Dey; Amira S. Ashour; Surekha Borra
Автор: Nilanjan Dey; Amira S. Ashour; Surekha Borra Название: Classification in BioApps ISBN: 3319659804 ISBN-13(EAN): 9783319659800 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges.
Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization.
In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals.
Автор: Siuly Siuly; Yan Li; Yanchun Zhang Название: EEG Signal Analysis and Classification ISBN: 3319476521 ISBN-13(EAN): 9783319476520 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems.
Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images.
Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges
Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications
Introduces several techniques for medical image processing and analysis for CAD systems design
Автор: Shigeo Abe Название: Support Vector Machines for Pattern Classification ISBN: 1447125487 ISBN-13(EAN): 9781447125488 Издательство: Springer Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This guide on the use of SVMs in pattern classification includes a rigorous performance comparison of classifiers and regressors. The book takes the unique approach of focusing on classification rather than covering the theoretical aspects of SVMs.
Автор: Munish Kumar, Manish Kumar Jindal, Simpel Rani Jindal, R. K. Sharma, Anupam Garg Название: Feature Extraction and Classification Techniques for Text Recognition ISBN: 1799824071 ISBN-13(EAN): 9781799824077 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 194970.00 T Наличие на складе: Невозможна поставка. Описание: Presents research on the fusion and hybridization of various features and classifiers for document analysis and recognition. The book provides coverage of a range of topics, including adaptive boosting, writer identification, and signature verification.
Автор: Thuy T. Pham Название: Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings ISBN: 3319986740 ISBN-13(EAN): 9783319986746 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three popular saliency criteria for feature selection, showing that they share common limitations, including time-consuming and subjective manual de-facto standard practice, and that existing automated efforts have been predominantly used for subject dependent setting. It then proposes a novel approach for anomaly detection, demonstrating its effectiveness and accuracy for automated classification of biomedical data, and arguing its applicability to a wider range of unsupervised machine learning applications in subject-independent settings.
Автор: K. Heiskanen Название: Particle Classification ISBN: 0412493004 ISBN-13(EAN): 9780412493003 Издательство: Springer Рейтинг: Цена: 191560.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Beginning with a discussion of the forces that govern industrial classification processes, this study describes the fundamentals of wet classification and presents a scientific basis for solving classification problems.
Автор: Xiao-Xia Yin; Sillas Hadjiloucas; Yanchun Zhang Название: Pattern Classification of Medical Images: Computer Aided Diagnosis ISBN: 3319570269 ISBN-13(EAN): 9783319570266 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents advances in biomedical imaging analysis and processing techniques using time dependent medical image datasets for computer aided diagnosis.
Автор: DeLorey, Gabriel T. Kestell, Aiden E Название: Nanoparticles : Properties, Classification, Characterization, and Fabrication ISBN: 1616683449 ISBN-13(EAN): 9781616683443 Издательство: Gazelle Book Services Рейтинг: Цена: 221630.00 T Наличие на складе: Поставка под заказ. Описание: This text examines the design and application of polymeric waveguides and fibers. It discusses new polymer systems designed to expand the efficiency, and the number of applications for polymer waveguides. Topics include graded-index materials, ruggedized systems and dye-doped systems, structure property relations, and new synthetic and processing techniques designed to minimize extrinsic losses.
Автор: Alireza Bahadori Название: Hazardous Area Classification in Petroleum and Chemical Plants: A Guide to Mitigating Risk ISBN: 1482206455 ISBN-13(EAN): 9781482206456 Издательство: Taylor&Francis Рейтинг: Цена: 209270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: "This book discusses fire hazards, occupancy hazards, extinguishing methods, and hazard identification and classification of materials. It provides simple, readily recognizable and easily understood markings for materials which will give at a glance, a general idea of the inherent hazards of any material, and the order of severity of these hazards as they relate to fire prevention, exposure, and control. Its objectives are to provide an appropriate alerting signal and on the spot information to safeguard the lives of both the public and emergency personnel. "--
Автор: Dimitrios Milioris Название: Topic Detection and Classification in Social Networks ISBN: 3319882384 ISBN-13(EAN): 9783319882383 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Поставка под заказ. Описание: This book provides a novel method for topic detection and classification in social networks. The book addresses several research and technical challenges that are currently being investigated by the research community, from the analysis of relations and communications between members of a community, to quality, authority, relevance and timeliness of the content, traffic prediction based on media consumption, spam detection, to security, privacy and protection of personal information. Furthermore, the book discusses innovative techniques to address those challenges and provides novel solutions based on information theory, sequence analysis and combinatorics, which are applied on real data obtained from Twitter.
Автор: Szczepan Paszkiel Название: Analysis and Classification of EEG Signals for Brain–Computer Interfaces ISBN: 3030305805 ISBN-13(EAN): 9783030305802 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brain-computer interfaces.
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