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Nueva edición de esta obra que da respuesta a la creciente demanda de contenidos por parte de los profesionales sobre cuestiones relacionadas con la inteligencia artificial y los avances que se están registrando en esta área. Obra dirigida a cualquier profesional sanitario que necesite empezar a relacionarse con el mundo de la inteligencia artificial aplicada a la salud. Esta segunda edición mantiene el enfoque didáctico de la primera ayudando así a los profesionales que empiezan a relacionarse con la inteligencia artificial y conceptos relacionados. Obra dirigida a cualquier profesional sanitario o estudiante de Medicina que por un motivo u otro necesite familiarizarse con esta temática y conocer los últimos avances publicados. Esta nueva edición sigue manteniendo una primera parte más introductoria o conceptual para continuar con los temas que más interés suscitan de la aplicación de la inteligencia artificial al ámbito de la salud. Se incluyen un par de nuevos capítulos que se hacen eco de las novedades que han aparecido recientemente en este área. Segunda edición de esta obra que recoge los temas actuales que van surgiendo en el ámbito de la inteligencia artificial aplicada a la salud. Enfoque práctico que se combina perfectamente con la parte más teórica de la obra y que hace que sea de gran utilidad como para los profesionales que se inician en este áambito y también para aquellos que quieren actualizarse en la materia.
Destaca diferentes técnicas de datos para el análisis de datos sanitarios, incluyendo el aprendizaje automático y la minería de datos. Ilustra diferentes aplicaciones, y los desafíos en el diseño, la aplicación y la gestión de sistemas inteligentes y redes de datos sanitarios. Incluye aplicaciones y estudios de casos en todas las áreas en las que se puede aplicar la IA a los datos sanitarios.
This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.
The North American Mosaic has four overarching features. First, it is, to the extent feasible, based on comparable information on the status and trends of major indicators of the state of the environment in Canada,Mexico, and the United States. Second, the report confirms that these three countries together make up an incredibly complex, dynamic, and interconnected ecosystem in which humans play a dominant and decisive role. Third, the report raises important and sometimes disquieting questions concerning the sustainability of some current trends. Finally, the report is a reminder that our economic, social, and physical well-being are utterly dependent on the life-sustaining services provided by nature. This report emphasizes the importance of developing mutually compatible economic, social, and environmental goals and policies across the three-country region.
In this comprehensive investigation Susskind uses jurisprudence to articulate the presuppositions and limitations of building expert systems, and to provide sound practical guidance for their design.
This book fills an important gap in the literature, and presents contributions from scientists and researchers working in the field of sustainable development who have engaged in dynamic approaches to implementing sustainability in higher education. It is widely known that universities are key players in terms of the implementation and further development of sustainability, with some having the potential of acting as “living labs” in this rapidly growing field. Yet there are virtually no publications that explore the living labs concept as it relates to sustainability, and in an integrated manner. The aims of this book, which is an outcome of the “4th World Symposium on Sustainable Development at Universities” (WSSD-U-2018), held in Malaysia in 2018, are as follows: i. to document the experiences of universities from all around the world in curriculum innovation, research, activities and practical projects as they relate to sustainable development at the university level; ii. to disseminate information, ideas and experiences acquired in the execution of projects, including successful initiatives and good practice; iii. to introduce and discuss methodological approaches and projects that seek to integrate the topic of sustainable development in the curricula of universities; and iv. to promote the scalability of existing and future models from universities as living labs for sustainable development. The papers are innovative, cross-cutting and many reflect practice-based experiences, some of which may be replicable elsewhere. Also, this book, prepared by the Inter-University Sustainable Development Research Programme (IUSDRP) and the World Sustainable Development Research and Transfer Centre (WSD-RTC), reinforces the role played by universities as living labs for sustainable development.
This book constitutes the revised selected papers of the 9th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2021, held in La Plata, Argentina*, in June 2021. The 12 full papers and 2 short papers presented were carefully reviewed and selected from a total of 37 submissions. The papers are organized in topical sections on parallel and distributed computing; machine and deep learning; big data; web and mobile computing; visualization.. *The conference was held virtually due to the COVID-19 pandemic.