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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.
Book Synopsis How AI Impacts Urban Living and Public Health by : José Pagán
Download or read book How AI Impacts Urban Living and Public Health written by José Pagán and published by Springer Nature. This book was released on 2019-10-08 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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.
Book Synopsis How AI Impacts Urban Living and Public Health by : María Fernanda Cabrera
Download or read book How AI Impacts Urban Living and Public Health written by María Fernanda Cabrera and published by . This book was released on 2020-10-08 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis How AI Impacts Urban Living and Public Health by : José Pagán
Download or read book How AI Impacts Urban Living and Public Health written by José Pagán and published by Springer. This book was released on 2019-10-09 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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.
Book Synopsis Intelligent Data Analysis for COVID-19 Pandemic by : M. Niranjanamurthy
Download or read book Intelligent Data Analysis for COVID-19 Pandemic written by M. Niranjanamurthy and published by Springer Nature. This book was released on 2021-06-22 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Essentials of Psychiatric Nursing by : Mary Ann Boyd
Download or read book Essentials of Psychiatric Nursing written by Mary Ann Boyd and published by Lippincott Williams & Wilkins. This book was released on 2022-07-14 with total page 1726 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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
Book Synopsis Next-Generation Smart Biosensing by : Kamil Reza Khondakar
Download or read book Next-Generation Smart Biosensing written by Kamil Reza Khondakar and published by Elsevier. This book was released on 2024-01-14 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
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.
Book Synopsis IoT Based Control Networks and Intelligent Systems by : P. P. Joby
Download or read book IoT Based Control Networks and Intelligent Systems written by P. P. Joby and published by Springer Nature. This book was released on 2022-10-11 with total page 892 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Using Computational Intelligence for the Dark Web and Illicit Behavior Detection by : Rawat, Romil
Download or read book Using Computational Intelligence for the Dark Web and Illicit Behavior Detection written by Rawat, Romil and published by IGI Global. This book was released on 2022-05-06 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Research Advances in Intelligent Computing by : Anshul Verma
Download or read book Research Advances in Intelligent Computing written by Anshul Verma and published by CRC Press. This book was released on 2023-03-02 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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
Book Synopsis Pervasive Cardiovascular and Respiratory Monitoring Devices by : Miodrag Bolic
Download or read book Pervasive Cardiovascular and Respiratory Monitoring Devices written by Miodrag Bolic and published by Elsevier. This book was released on 2023-06-22 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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