Peer Review


Book Description

Peer review is the process by which submissions to journals and presses are evaluated with regard to suitability for publication. Armed with the results of numerous empirical studies, critics have leveled a variety of harsh charges against peer review such as: reviewers and editors are biased toward authors from prestigious institutions, peer review is biased toward established ideas, and it does a poor job of detecting errors and fraud. While an immense literature has sprouted on peer review in the sciences and social sciences, Peer Review is the first book-length, wide-ranging study of peer review that utilizes methods and resources of contemporary philosophy. Its six chapters cover the following topics: the tension between peer review and the liberal notion that truth emerges when ideas proliferate in the marketplace of ideas; arguments for and against blind review of submissions; the alleged conservatism of peer review; the anomalous nature of book reviewing; the status of non-peer-reviewed publications, such as invited articles or Internet publications, in tenure and promotion cases; and the future of peer review in the age of the Internet. The author has also included several key readings about peer review.







Intelligent Internet of Things


Book Description

This holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT and eHealth solutions for industry practitioners, academic and researchers, as well as for engineers involved in product development. The first part provides a comprehensive guide to fundamentals, applications, challenges, technical and economic benefits, and promises of the Internet of Things using examples of real-world applications. It also addresses all important aspects of designing and engineering cutting-edge IoT solutions using a cross-layer approach from device to fog, and cloud covering standards, protocols, design principles, reference architectures, as well as all the underlying technologies, pillars, and components such as embedded systems, network, cloud computing, data storage, data processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent IoT, which are reflected in new business models and digital transformation. The second part provides an insightful guide to the design and deployment of IoT solutions for smart healthcare as one of the most important applications of IoT. Therefore, the second part targets smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and big data analytics that are aimed at providing connected health interventions to individuals for healthier lifestyles.




Computer Applications in Drug Discovery and Development


Book Description

With more restrictions upon animal experimentations, pharmaceutical industries are currently focusing on a new generation of experiments and technologies that are considerably more efficient and less controversial. The integration of computational and experimental strategies has led to the identification and development of promising compounds. Computer Applications in Drug Discovery and Development is a pivotal reference source that provides innovative research on the application of computers for discovering and designing new drugs in modern molecular biology and medicinal chemistry. While highlighting topics such as chemical structure databases and dataset utilization, this publication delves into the current panorama of drug discovery, where high drug failure rates are a major concern and properly designed virtual screening strategies can be a time-saving, cost-effective, and productive alternative. This book is ideally designed for chemical engineers, pharmacists, molecular biologists, students, researchers, and academicians seeking current research on the unexplored avenues and future perspectives of drug design.




Biomedical Informatics


Book Description

The practice of modern medicine and biomedical research requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and carry out investigations. Biomedical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline at the intersection of computer science, decision science, information science, cognitive science, and biomedicine. Now revised and in its third edition, this text meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Authored by leaders in medical informatics and extensively tested in their courses, the chapters in this volume constitute an effective textbook for students of medical informatics and its areas of application. The book is also a useful reference work for individual readers needing to understand the role that computers can play in the provision of clinical services and the pursuit of biological questions. The volume is organized so as first to explain basic concepts and then to illustrate them with specific systems and technologies.




International Journal of Software Science and Computational Intelligence


Book Description

The latest developments in computer science, theoretical software engineering, cognitive science, cognitive informatics, intelligence science, and the crystallization of accumulated knowledge by the fertilization of these areas, have led to the emergence of a transdisciplinary and convergence field known as software and intelligence sciences International Journal of Software Science and Computational Intelligence (IJSSCI) is a transdisciplinary, archived, and rigorously refereed journal that publishes and disseminates cutting-edge research findings and technological developments in the emerging fields of software science and computational intelligence, as well as their engineering applications.




Deep Learning in Computer Vision


Book Description

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.







Fundamentals of Natural Computing


Book Description

Natural computing brings together nature and computing to develop new computational tools for problem solving; to synthesize natural patterns and behaviors in computers; and to potentially design novel types of computers. Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications presents a wide-ranging survey of novel techniqu




Computer Applications in Instruction


Book Description

Intended for upper elementary and secondary teachers in all subject areas, this guide provides practical advice on determining the appropriate application of computer technology and on the selection of specific, subject-related computer-based instruction units. Under the heading of hardware and software, topics discussed include communicating with a computer, computer size, getting and using user's programs, translators and programming languages, and the elements of a program. The computer is analyzed in terms of its uses as instructor, laboratory, calculator, object of instruction, and instructor's aide. The selection of computer-based instructional units is described from the beginning of the selection process through final decision making. Individual papers then focus on uses of the computer in the following specific areas: art education, business education, instruction for the deaf and hard of hearing, elementary school, language arts, mathematics curriculum and instruction, music education, physical education, secondary science, natural science, and the social sciences. "Keys to Recognizing General Purpose Languages," and some primary sources of computer-based instructional units, are appended. (LMM)




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