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How AI Impacts Urban Living and Public Health by José Pagán,Mounir Mokhtari,Hamdi Aloulou,Bessam Abdulrazak,María Fernanda Cabrera Pdf
This open access book constitutes the refereed proceedings of the 17th International Conference on String Processing and Information Retrieval, ICOST 2019, held in New York City, NY, USA, in October 2019. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 24 submissions. They cover topics such as: e-health technology design; well-being technology; biomedical and health informatics; and smart environment technology.
How AI Impacts Urban Living and Public Health by María Fernanda Cabrera,Bessam Abdulrazak,Hamdi Aloulou Pdf
This open access book constitutes the refereed proceedings of the 17th International Conference on String Processing and Information Retrieval, ICOST 2019, held in New York City, NY, USA, in October 2019. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 24 submissions. They cover topics such as: e-health technology design; well-being technology; biomedical and health informatics; and smart environment technology. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
How AI Impacts Urban Living and Public Health by José Pagán,Mounir Mokhtari,Hamdi Aloulou,Bessam Abdulrazak,María Fernanda Cabrera Pdf
This open access book constitutes the refereed proceedings of the 17th International Conference on String Processing and Information Retrieval, ICOST 2019, held in New York City, NY, USA, in October 2019. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 24 submissions. They cover topics such as: e-health technology design; well-being technology; biomedical and health informatics; and smart environment technology.
Intelligent Data Analysis for COVID-19 Pandemic by M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar Pdf
This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.
Essentials of Psychiatric Nursing by Mary Ann Boyd,Rebecca Luebbert Pdf
Help beginning nursing students gain the basic knowledge, therapeutic communication capabilities, and patient interaction skills to confidently prepare for psychiatric nursing practice. Easy to use and backed by the latest clinical evidence, Essentials of Psychiatric Nursing, 3rd Edition, is rich with clinical examples and explanations that help clarify challenging concepts and equip students for success as entry-level nurses. Whether used in dedicated psychiatric nursing courses or for integrating psychiatric nursing principles into an existing course, this engaging text establishes the fundamental understanding students need to effectively care for individuals with emotional and mental health problems in any healthcare setting. New and Updated Features NEW! Content helps students recognize and address the effects of COVID-19 on mental health and embrace changes in the practice and delivery of mental health nursing, such as virtual therapy. UPDATED! Coverage of veteran care empowers students to confidently manage specific mental health issues affecting military veterans and their families. UPDATED! Community nursing care coverage helps students make a confident transition to practice outside of traditional hospital settings, increasing their career prospects.
Smart Cities and Machine Learning in Urban Health by Thomas, J. Joshua,Geropanta, Vasiliki,Karagianni, Anna,Panchenko, Vladimir,Vasant, Pandian Pdf
The perception of smart cities encompasses a strategy that uses different types of technologies, artificial intelligence (AI), and machine learning and in which, through the internet of things (IoT) and sensor-based data collection, the strategy extrapolates information using insights gained from that data to manage or monitor or track assets, resources, and services efficiently in an urban area. Both these models deeply affect the localities where they are applied and can create together immense possibilities for urban recovery, better quality of life, physical and mental health protection, and economic and social redevelopment. Smart Cities and Machine Learning in Urban Health promotes interdisciplinary work that develops and illustrates the concept of resilience in relation to smart city and machine learning. The book examines the ability of an area and its communities to recover quickly from difficulties; the rigidness and resistance of an area and its communities to possible crisis; the ability of an area, its communities, infrastructure, and business to spring back into shape; and the responsiveness and mitigation towards the crisis with a special look at the impact of the COVID-19 pandemic. The research’s theoretical foundation rests on a wide range of non-architectural sources, primarily AI, sociology, urban studies, and technological development, but it explores everything on cases taken from real cities, thus transforming them into pieces of architectural interest. Covering topics such as carbon emissions, digital healthcare systems, and urban transformation, this book is an essential resource for graduate and post-graduate students, policymakers, researchers, university faculty, engineers, public management, hospital administration, professors, and academicians.
Next-Generation Smart Biosensing by Kamil Reza Khondakar,Ajeet Kumar Kaushik Pdf
Quantum Sensing at the Interface of Nanotechnology Integrated Microfluidics provides broad multidisciplinary coverage of innovative quantum sensing technologies suitable to industries in the engineering, biomedical, healthcare and environmental sectors. Sections discuss emerging quantum sensing and with an introduction to microfluidic devices, smart sensors, the role of nanotechnology, smart sensing, and the role of quantum technology and artificial intelligence for nano-enabled microfluidics. Sensing technologies and nano-enabled microfluidics and their biomedical and industrial applications are explored. This will be a useful resource for those in research and industry interested in biotechnology, nanotechnology, sensing technology and their applications in multidisciplinary fields. Provides an introduction to the types of microfluidic devices, smart sensors, and the role of nanotechnology Covers smart sensing for multidisciplinary sectors Explores the challenges and prospects of nano-microfluidics systems
IoT Based Control Networks and Intelligent Systems by P. P. Joby,Valentina E. Balas,Ram Palanisamy Pdf
This book gathers selected papers presented at International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2022), organized by St. Joseph’s College of Engineering and Technology, Kottayam, Kerala, India, during July 1–2, 2022. The book covers state-of-the-art research insights on Internet of things (IoT) paradigm to access, manage, and control the objects/things/people working under various information systems and deployed under wide range of applications like smart cities, health care, industries, and smart homes.
Using Computational Intelligence for the Dark Web and Illicit Behavior Detection by Rawat, Romil,Kaur, Upinder,Khan, Shadab Pasha,Sikarwar, Ranjana,Sankaran, K. Sakthidasan Pdf
The Dark Web is a known hub that hosts myriad illegal activities behind the veil of anonymity for its users. For years now, law enforcement has been struggling to track these illicit activities and put them to an end. However, the depth and anonymity of the Dark Web has made these efforts difficult, and as cyber criminals have more advanced technologies available to them, the struggle appears to only have the potential to worsen. Law enforcement and government organizations also have emerging technologies on their side, however. It is essential for these organizations to stay up to date on these emerging technologies, such as computational intelligence, in order to put a stop to the illicit activities and behaviors presented in the Dark Web. Using Computational Intelligence for the Dark Web and Illicit Behavior Detection presents the emerging technologies and applications of computational intelligence for the law enforcement of the Dark Web. It features analysis into cybercrime data, examples of the application of computational intelligence in the Dark Web, and provides future opportunities for growth in this field. Covering topics such as cyber threat detection, crime prediction, and keyword extraction, this premier reference source is an essential resource for government organizations, law enforcement agencies, non-profit organizations, politicians, computer scientists, researchers, students, and academicians.
Pervasive Cardiovascular and Respiratory Monitoring Devices by Miodrag Bolic Pdf
Pervasive Cardiac and Respiratory Monitoring Devices: Model-Based Design is the first book to combine biomedical instrumentation and model-based design. As the scope is limited to cardiac and respiratory devices only, this book offers more depth of information on these devices; focusing in on signals used for home monitoring and offering additional analysis of these devices. The author offers an insight into new industry and research trends, including advances in contactless monitoring of breathing and heart rate. Each chapter presents a section on current trends. As instrumentation as a field is becoming increasingly smart, basic signal processing is also discussed. Real case-studies for each modelling approach are used, primarily covering blood pressure, ECG and radar-based devices. This title is ideal for teaching and supporting learning as it is written in an accessible style and a solutions manual for the problem sets is provided. It will be useful to 4th year undergraduate students, graduate/masters/PhD students, early career researchers and professionals working on an interdisciplinary project; as it introduces the field and provides real world applications. For engineers this book solves the problem of how to assess and calibrate a medical device to ensure the data collected is trustworthy. For students, this book allows for trying concepts and circuits via simulations and learning modeling techniques. Students will learn concepts from this book and be ready to design bioinstrumentations devices based on specifications/requirements. Focuses on model-based design using Simscape/MATLAB; learn how to design a system and how to evaluate how different choices affect the output of the system Covers pervasive monitoring: shows how to design optimal solutions for pervasive and personalized healthcare monitoring Explores uncertainty and sensitivity analysis; understand your model better
Research Advances in Intelligent Computing by Anshul Verma,Pradeepika Verma,Kiran Kumar Pattanaik,Lalit Garg Pdf
Since the invention of computers and other similar machines, scientists and researchers have been trying very hard to enhance their capabilities to perform various tasks. As a result, the capabilities of computers are growing exponentially day by day in terms of diverse working domains, versatile jobs, processing speed, and reduced size. Now, we are in the race to make these machines as intelligent as human beings. Artificial intelligence (AI) came up as a way of making a computer or computer software think in a similar manner to the way that humans think. AI is inspired by the study of human brain, including how humans think, learn, decide, and act while trying to solve a problem. The outcomes of this study are the basis of developing intelligent software and systems or intelligent computing (IC). An IC system has the capabilities of reasoning, learning, problem-solving, perception, and linguistic intelligence. IC systems consist of AI techniques as well as other emerging techniques that make a system intelligent. The use of IC has been seen in almost every sub-domain of computer science such as networking, software engineering, gaming, natural language processing, computer vision, image processing, data science, robotics, expert systems, and security. Nowadays, IC is also useful for solving various complex problems in diverse domains such as for predicting disease in medical science, predicting land fertility or crop productivity in agricultural science, predicting market growth in economics, and weather forecasting. For all these reasons, this book presents the advances in AI techniques, under the umbrella of IC. In this context, the book includes recent research that has been done in the areas of machine learning, neural networks, deep learning, evolutionary algorithms, genetic algorithms, swarm intelligence, fuzzy systems, and so on. This book discusses recent theoretical, algorithmic, simulation, and implementation-based advancements related to IC.
AI and Business, and Innovation Research: Understanding the Potential and Risks of AI for Modern Enterprises by Bahaaeddin Alareeni,Islam Elgedawy Pdf
This book provides a comprehensive overview of the latest trends and developments in AI and business innovation research. In today's rapidly changing business environment, artificial intelligence (AI) has become an essential tool for innovation and growth. From marketing and customer service to supply chain management and product development, AI is transforming the way businesses operate, allowing them to make better decisions and achieve their goals faster and more efficiently than ever before. However, the integration of AI into business operations is not without its challenges and risks. There are concerns about data privacy, cybersecurity, and the potential for AI to disrupt traditional industries and displace workers. As a result, it is essential for business leaders and researchers to understand both the potential and risks of AI, and how it can be effectively leveraged for business innovation. This book explores the potential benefits of AI for modern enterprises, including how it can be used to enhance customer service, optimize supply chain management, and improve decision-making in a range of business contexts. It also examines the role of AI in product development, marketing, and sales, and how it can be used to drive innovation and growth. The book also examines the risks and challenges associated with the integration of AI into business operations. It explores the ethical and legal implications of AI, including issues related to data privacy and security, bias in algorithms, and the impact of AI on employment and the labor market. It also examines the role of government and policymakers in regulating AI and managing the risks associated with its integration into business operations. Overall, this book provides a comprehensive and balanced perspective on the potential and risks of AI for modern enterprises.
United States. Congress. House. Committee on Appropriations. Subcommittee on Interior, Environment, and Related Agencies
Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Interior, Environment, and Related Agencies Publisher : Unknown Page : 1096 pages File Size : 51,8 Mb Release : 2017 Category : United States ISBN : IND:30000159354038
Interior, Environment, and Related Agencies Appropriations for 2018: Indian Health Service budget oversight hearing; High risk American Indian & Alaska Native programs: U.S. Government Accountability Office oversight hearing; U.S. Forest Service budget oversight hearing; Department of the Interior budget oversight hearing; Environmental Protection Agency budget oversight hearing by United States. Congress. House. Committee on Appropriations. Subcommittee on Interior, Environment, and Related Agencies Pdf
Urban Health by Sandro Galea,Catherine K. Ettman,David Vlahov Pdf
An essential collection that advances our understanding of how cities influence our health More than half the world's population lives in cities -- a figure that will grow to two-thirds by 2030. As global populations rapidly consolidate around urban centers, the scientific understanding of what this means for human health faces a new and greater urgency. Urban Health connects urban exposures -- the experiences, choices, and behaviors shaped by living in a city -- to their impact on population health. By using the ubiquitous aspects of the urban experience as a lens to study these exposures across borders and demographics, it offers a new, scalable framework for understanding health and disease. Its applications to public health, epidemiology, and social science are virtually unlimited. Enriched with case studies that consider the state of health in cities all over the world, this book does more than capture the state of a nascent field; it holds a critical mirror to itself, considering the next decade and arming a new generation with the tools for research and practice.