This book provides a brief overview of single-cell analysis using recent advanced technologies.
The different sections cover different aspect of single cell analysis and applications with their advantages, limitations, and future challenges. The book has covered how different physical energies such as optical, electrical, and mechanical energy have been applied for single cell therapy and analysis.

This richly illustrated book provides a comprehensive overview of the use of current ultrasound techniques, including contrast-enhanced ultrasound and ultrasonic elastography, in the diagnosis of breast disease. The advantages and pitfalls of the various imaging modalities are identified, and it is explained how combined use of the modalities – multiparametric ultrasound – aids diagnosis and in particular assists in the differentiation of benign and malignant disease.

This comprehensive reference provides easy access to relevant information on all aspects of Computer Vision. An A-Z format of over 240 entries offers a diverse range of topics for those seeking entry into any aspect within the broad field of Computer Vision. Over 200 Authors from both industry and academia contributed to this volume.

Two mob families clash in a war that threatens to topple empires and lives.

Volume 6 looks at the ways historians have written the history of the region depending upon their methods of interpretation and differing styles of communicating their findings. The authors examine how the lingual diversity of the region has affected the historian's ability to coalesce an historical account. The second half of the volume describes the writing of history in the individual territories, taking into account changes in society, economy and political structure. This volume concludes with a detailed bibliography that is comprehensive of the entire series.

This book presents radiological findings in patients with 2019 Novel Coronavirus Pneumonia (COVID-19). It starts with a general review of COVID-19 Pneumonia discovery, including etiology characteristics, transmission routes and pathogenic mechanisms. In the following chapters, details in clinical classification, imaging manifestations in different groups, and imaging features of family aggregated coronavirus pneumonia are introduced. In addition, key points in differential diagnosis of COVID-19 Pneumonia are summarized in the last chapter. The book provides a valuable reference source for radiologists and doctors working in the area of COVID-19 Pneumonia.

This book presents the proceedings of the 6th IFToMM Symposium on Mechanism Design for Robotics (MEDER), held in Timişoara, Romania, 27–29 June 2024. It gathers contributions by researchers from several countries on all major areas of robotic research, development and innovation, as well as new applications and current trends. The topics covered include: theoretical and computational kinematics, mechanism design, experimental mechanics, mechanics of robots, control issues of mechanical systems, machine intelligence, innovative mechanisms and applications, linkages and manipulators, micro-mechanisms, dynamics of machinery and multi-body systems. Given its scope, the book offers a source of information and inspiration for researchers seeking to improve their work and gather new ideas for future developments.

This Green Book is an essential resource for power system engineers seeking comprehensive information on contemporary power system dynamic modelling and analysis. With today's rapid adoption of inverter-based resources and the resulting changes in power system dynamics, this book compares conventional power systems with evolving power systems characterized by high shares of grid-connected and distributed inverter-based resources. It covers dynamic phenomena, analysis methods, simulation tools and enablers required for secure and reliable system planning and operation.

This book presents the microscopic and macroscopic bark structure of more than 180 different tree and shrub species from Europe, Asia and North America. It is the first compendium to demonstrate the anatomical variability in bark since almost 70 years (Holdheide 1951).

This book presents original contributions on the theories and practices of emerging Internet, data and Web technologies and their applicability in businesses, engineering and academia, focusing on advances in the life-cycle exploitation of data generated from the digital ecosystem data technologies that create value, e.g. for businesses, toward a collective intelligence approach.

This book describes the developments and improvements in electroencephalography (EEG). In recent years, digital technology has replaced analog equipments, and it is now possible to easily record and store EEG tracings and to quickly recall previously acquired material for subsequent analysis. In addition, not only static figures, but also electronic supplementary materials can be included in books, enabling EEGs to be viewed in real-time.

This book addresses emerging issues in usability, interface design, human–computer interaction, user experience and assistive technology. It highlights research aimed at understanding human interactions with products, services and systems and focuses on finding effective approaches for improving the user experience

This book applies novel theories to improve algorithms in complex data analysis in various fields, including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis.
It is intended for Ph.D. students, academics, researchers, and software developers working in the areas of digital video processing and computer vision technologies.

This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.
The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. They focus on major trends and challenges in the area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.

This 4-volumes set constitutes the proceedings of the ICPR 2022 Workshops of the 26th International Conference on Pattern Recognition Workshops, ICPR 2022, Montreal, QC, Canada, August 2023. The 167 full papers presented in these 4 volumes were carefully reviewed and selected from numerous submissions. ICPR workshops covered domains related to pattern recognition, artificial intelligence, computer vision, image and sound analysis. Workshops’ contributions reflected the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, etc.