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The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence – quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution - this permits a rapid and broad dissemination of research results. The purpose of the 10th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2011) was held on May16-18, 2011 in Sanya, Hainan Island, China is to bring together scientist, engineers, computer users, students to share their experiences and exchange new ideas, and research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them The conference organizers selected the best 20 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rigorous rounds of review.
"This 10-volume compilation of authoritative, research-based articles contributed by thousands of researchers and experts from all over the world emphasized modern issues and the presentation of potential opportunities, prospective solutions, and future directions in the field of information science and technology"--Provided by publisher.
Offering a truly global perspective, this book serves as a road map for service-learning partnerships between information science and nonprofit organizations. It introduces for the first time an essential framework for service learning in CIS, addressing both the challenges and opportunities of this approach for all stakeholders involved: faculty, students, and community nonprofit organizations (NPOs), both domestic and abroad. This volume outlines numerous examples of successful programs from around the world, presenting practical working models for implementing joint projects between NPOs and academia.
Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging. Recurrent neural networks are powerful sequence learning tools—robust to input noise and distortion, able to exploit long-range contextual information—that would seem ideally suited to such problems. However their role in large-scale sequence labelling systems has so far been auxiliary. The goal of this book is a complete framework for classifying and transcribing sequential data with recurrent neural networks only. Three main innovations are introduced in order to realise this goal. Firstly, the connectionist temporal classification output layer allows the framework to be trained with unsegmented target sequences, such as phoneme-level speech transcriptions; this is in contrast to previous connectionist approaches, which were dependent on error-prone prior segmentation. Secondly, multidimensional recurrent neural networks extend the framework in a natural way to data with more than one spatio-temporal dimension, such as images and videos. Thirdly, the use of hierarchical subsampling makes it feasible to apply the framework to very large or high resolution sequences, such as raw audio or video. Experimental validation is provided by state-of-the-art results in speech and handwriting recognition.
Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are also included to enhance understanding. Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc. - Provides in-depth information about Biomedical Engineering with Big Data and Internet of Things - Includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in Big Data and Internet of Things - Discusses big data applications for healthcare management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, and more
As web applications play a vital role in our society, social media has emerged as an important tool in the creation and exchange of user-generated content and social interaction. The benefits of these services have entered in the educational areas to become new means by which scholars communicate, collaborate, and teach. Social Media and the New Academic Environment: Pedagogical Challenges provides relevant theoretical frameworks and the latest research on social media and its challenges in the educational context. This book is essential for professionals aiming to improve their understanding of social media at different levels of education, as well as researchers in the fields of e-learning, educational science, information and communication sciences, and much more.
Continuous advances in technologies, individuals, and the workplace have increased the importance of adult learning and professional development for keeping up with the current pace of technologies and information. Advanced Research in Adult Learning and Professional Development: Tools, Trends, and Methodologies explores the understanding, practice, and research within technical education and professional development. By providing a comprehensive view on educational technologies for adult learning, this book is essential for lecturers, practitioners, as well as academics interested in a variety of research in continuing education.
"This book takes a look at the games industry from a gendered perspective and highlights the variety of ways in which women remain underrepresented in this industry"--Provided by publisher.
The development of new information and communication technologies has a considerable impact on the way humans interact with each other and their environment. The proper use of these technologies is an important consideration in the success of modern human endeavors. Multidisciplinary Perspectives on Telecommunications, Wireless Systems, and Mobile Computing explores some of the latest advances in wireless communication technologies, making use of empirical research and analytical case studies to evaluate best practices in the discipline. This book will provide insight into the next generation of information and communication technologies for developers, engineers, students, researchers, and managers in the telecommunications field.
As social technologies continue to evolve, it is apparent that librarians and their clientele would benefit through participation in the digital social world. While there are benefits to implementing these technologies, many libraries also face challenges in the integration and usage of social media. Social Media Strategies for Dynamic Library Service Development discusses the integration of digital social networking into library practices. Highlighting the advantages and challenges faced by libraries in the application of social media, this publication is a critical reference source for professionals and researchers working within the fields of library and information science, as well as practitioners and executives interested in the utilization of social technologies in relation to knowledge management and organizational development.