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Image Processing Using FPGAs
This book presents a selection of papers representing current research on using field programmable gate arrays (FPGAs) for realising image processing algorithms. These papers are reprints of papers selected for a Special Issue of the Journal of Imaging on image processing using FPGAs. A diverse range of topics is covered, including parallel soft processors, memory management, image filters, segmentation, clustering, image analysis, and image compression. Applications include traffic sign recognition for autonomous driving, cell detection for histopathology, and video compression. Collectively, they represent the current state-of-the-art on image processing using FPGAs.
VLSI-SoC: Technology Advancement on SoC Design
This book contains extended and revised versions of the best papers presented at the 29th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2021, held in Singapore, in October 2021*. The 12 full papers included in this volume were carefully reviewed and selected from the 44 papers (out of 75 submissions) presented at the conference. The papers discuss the latest academic and industrial results and developments as well as future trends in the field of System-on-Chip (SoC) design, considering the challenges of nano-scale, state-of-the-art and emerging manufacturing technologies. In particular they address cutting-edge research fields like low-power design of RF, analog and mixed-signal circuits, EDA tools for the synthesis and verification of heterogenous SoCs, accelerators for cryptography and deep learning and on-chip Interconnection system, reliability and testing, and integration of 3D-ICs. *The conference was held virtually.
Explainable Natural Language Processing
This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Language Processing (NLP) models. The book is intended to provide a snapshot of Explainable NLP, though the field continues to rapidly grow. The book is intended to be both readable by first-year M.Sc. students and interesting to an expert audience. The book opens by motivating a focus on providing a consistent taxonomy, pointing out inconsistencies and redundancies in previous taxonomies. It goes on to present (i) a taxonomy or framework for thinking about how approaches to explainable NLP relate to one another; (ii) brief surveys of each of the classes in the taxonomy, with a focus on methods that are relevant for NLP; and (iii) a discussion of the inherent limitations of some classes of methods, as well as how to best evaluate them. Finally, the book closes by providing a list of resources for further research on explainability.
The Boston Directory
None
Hayden's Annual Cyclopedia of Insurance in the United States
Issues for 1916- include section: Biographical sketches.
Connective Tissue in Health and Disease
This volume provides reviews covering the latest advances in particular areas of connective tissue research. This comprehensive work also includes areas of the medical field in which the basic aspects could be applied. It explains that both cells and matrix are altered in disease states because of the strong interactions established between cells and the extracellular matrix. The aim of this book is to close the existing gap between basic scientists and clinical investigators. This reference is an absolute must for all biological chemists, clinical investigators, and pathologists. Students of these professions will find this reading both informative and useful as well.
Molecular Genetic Medicine
Molecular Genetic Medicine, Volume III, summarizes progress in several of the most important areas of modern molecular genetics and medicine. The book opens with a chapter on the birth and early development of the field of human gene therapy and the earliest conceptual and technical descriptions of the issues and opportunities in this new area of medicine. This is followed by separate chapters on the gene responsible for cystic fibrosis; interactions and genetic phenomena that accompany the progression of astrocytic tumors; and molecular biology of Alzheimer's disease; and the search for the Huntington's disease gene and the role of genetic instability in this disease. The final chapter discusses the ways in which both the medical insurance and genetics industries will have to respond to changes in the power of genetic information and its ability to predict coronary vascular disease, cancer, neurological disease, and all the other common afflictions that constitute the bulk of their businesses.
