Описание: In recent years there has been rapid progress in the development of signal processing in general, and more specifically in the application of signal processing and pattern analysis to biological signals.
Автор: Chamberlain Название: The Analysis of Drugs in Biological Fluids 2nd Edition ISBN: 0849324920 ISBN-13(EAN): 9780849324925 Издательство: Taylor&Francis Рейтинг: Цена: 44405.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This new edition focuses on a variety of techniques available for the analysis of drugs in biological fluids
Автор: Saman K. Halgamuge; Lipo Wang Название: Classification and Clustering for Knowledge Discovery ISBN: 3642065422 ISBN-13(EAN): 9783642065422 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees.
Автор: Shigeo Abe Название: Support Vector Machines for Pattern Classification ISBN: 1447125487 ISBN-13(EAN): 9781447125488 Издательство: Springer Рейтинг: Цена: 22201.00 р. 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.
Описание: Reflecting state-of-the-art developments, Microfluidic Lab-on-a-Chip for Chemical and Biological Analysis and Discovery reviews basic principles of micromachining as well as fluid flow and control, placing emphasis on analytical applications of microfluidic technology. This book covers micromachining methods, microfluidic operations, chemical separation, detection technology, and various chemical and biochemical analyses. The text is accessible for readers new to the field but also features various references for experienced researchers. It also adapts principles of operations on the chip, resulting in the miniaturization advantage and
Автор: Jos? Luis Oliveira; V?ctor Maojo; Fernando Martin- Название: Biological and Medical Data Analysis ISBN: 3540296743 ISBN-13(EAN): 9783540296744 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 6th International Symposium on Biological and Medical Data Analysis, ISBMDA 2005, held in Aveiro, Portugal, in November 2005. This book is organized in topical sections on medical databases and information systems, data analysis and image processing, decision support systems, and more.
Автор: Andreas Oechsner; Lucas F. M. da Silva; Holm Alten Название: Analysis and Design of Biological Materials and Structures ISBN: 3642441815 ISBN-13(EAN): 9783642441813 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection of advanced analyses and techniques in biomaterials design includes mechanical studies of biological structures and features 16 known experts who present research on stress and strain analysis, material properties, and fluid and gas mechanics.
Автор: G.K. Suraishkumar Название: Continuum Analysis of Biological Systems ISBN: 3642544673 ISBN-13(EAN): 9783642544675 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the analysis, in the continuum regime, of biological systems at various scales, from the cellular level to the industrial one.
Автор: Lingxin Chen; Yunqing Wang; Xiuli Fu; Ling Chen Название: Novel Optical Nanoprobes for Chemical and Biological Analysis ISBN: 366243623X ISBN-13(EAN): 9783662436233 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Novel Optical Nanoprobes for Chemical and Biological Analysis starts with a brief introduction to several kinds of versatile nanomaterials with novel optical properties, such as gold/silver nanoparticles, quantum dots, upconversion nanoparticles and graphene. It mainly focuses on the latest sensor design strategies, which apply the optical properties of nanomaterials to various detection techniques including colorimetry, fluorescence, and surface-enhanced Raman scattering (SERS). These sensors are attractive owing to their high sensitivity, high specificity, and potential for easy quantification of targets in many applications, such as conventional chemical and biological analysis, clinical diagnosis, and intracellular system sensing as well as single-molecule detection. The challenges and future perspectives for optical nanoprobes are also presented, such as the increase in sensitivity for real environmental and clinical samples, the design and application of multifunctional nanoplatforms, and biocompatibility of nanomaterials.
Автор: Chad R. Meiners; Alex X. Liu; Eric Torng Название: Hardware Based Packet Classification for High Speed Internet Routers ISBN: 1441966994 ISBN-13(EAN): 9781441966995 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent developments in hardware based packet classification algorithms and architectures. It describes five methods that reduce the space that classifiers occupy within TCAMs and includes case studies and examples throughout.
Описание: This book reports on an outstanding thesis thathas significantly advanced the state-of-the-art in the automated analysis andclassification of speech and music.
Автор: Xiang Xu; Xingkun Wu; Feng Lin Название: Cellular Image Classification ISBN: 3319476289 ISBN-13(EAN): 9783319476285 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book introduces new techniques for cellular image feature extraction, pattern recognition and classification. The authors use the antinuclear antibodies (ANAs) in patient serum as the subjects and the Indirect Immunofluorescence (IIF) technique as the imaging protocol to illustrate the applications of the described methods. Throughout the book, the authors provide evaluations for the proposed methods on two publicly available human epithelial (HEp-2) cell datasets: ICPR2012 dataset from the ICPR'12 HEp-2 cell classification contest and ICIP2013 training dataset from the ICIP'13 Competition on cells classification by fluorescent image analysis.
First, the reading of imaging results is significantly influenced by one’s qualification and reading systems, causing high intra- and inter-laboratory variance. The authors present a low-order LP21 fiber mode for optical single cell manipulation and imaging staining patterns of HEp-2 cells. A focused four-lobed mode distribution is stable and effective in optical tweezer applications, including selective cell pick-up, pairing, grouping or separation, as well as rotation of cell dimers and clusters. Both translational dragging force and rotational torque in the experiments are in good accordance with the theoretical model. With a simple all-fiber configuration, and low peak irradiation to targeted cells, instrumentation of this optical chuck technology will provide a powerful tool in the ANA-IIF laboratories. Chapters focus on the optical, mechanical and computing systems for the clinical trials. Computer programs for GUI and control of the optical tweezers are also discussed.
to more discriminative local distance vector by searching for local neighbors of the local feature in the class-specific manifolds. Encoding and pooling the local distance vectors leads to salient image representation. Combined with the traditional coding methods, this method achieves higher classification accuracy.
Then, a rotation invariant textural feature of Pairwise Local Ternary Patterns with Spatial Rotation Invariant (PLTP-SRI) is examined. It is invariant to image rotations, meanwhile it is robust to noise and weak illumination. By adding spatial pyramid structure, this method captures spatial layout information. While the proposed PLTP-SRI feature extracts local feature, the BoW framework builds a global image representation. It is reasonable to combine them together to achieve impressive classification performance, as the combined feature takes the advantages of the two kinds of features in different aspects.
Finally, the authors design a Co-occurrence Differential Texton (CoDT) feature to represent the local image patches of HEp-2 cells. The CoDT feature reduces the information loss by ignoring the quantization while it utilizes the spatial relations among the differential micro-texton feature. Thus it can increase the discriminative power. A generative model adaptively characterizes the CoDT feature space of the training data. Furthermore, exploiting a discriminant representation allows for HEp-2 cell images based on the adaptive partitioned feature space. Therefore, the resulting representation is adapted to the classification task. By cooperating with linear Support Vector Machine (SVM) classifier, this framework can exploit the advantages of both generative and discriminative approaches for cellular image classification.
The book is written for those researchers who would like to develop their own programs, and the working MatLab codes are included for all the important algorithms presented. It can also be used as a reference book for graduate students and senior undergraduates in the area of biomedical imaging, image feature extraction, pattern recognition an
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