AI for Disease Surveillance and Pandemic Intelligence: Intelligent Disease Detection in Action, Shaban-Nejad Arash, Michalowski Martin, Bianco Simone
Автор: Rajesh R., Thasleema T. M., Kumar V. Название: Intelligent Computing and Signal Processing ISBN: 8184876912 ISBN-13(EAN): 9788184876918 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 57290.00 T Наличие на складе: Поставка под заказ. Описание: Computer science is a fast-growing field which has now applications across disciplines. AI will never replace human beings, but definitely it will provide all types of necessary support/service in all forms to common man to make their work easier. This book discusses artificial intelligence in detail.
Автор: Alshurideh M. T., Hassanien Aboul Ella, Masa`deh Ra`ed Название: The Effect of Coronavirus Disease (Covid-19) on Business Intelligence ISBN: 303067150X ISBN-13(EAN): 9783030671501 Издательство: Springer Цена: 214280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes recent research works on how business around the world affected by the time of COVID-19 pandemic. The impact of recent technological developments has had a tremendous impact on how we manage disasters.
Автор: Raza Khalid Название: Computational Intelligence Methods in Covid-19: Surveillance, Prevention, Prediction and Diagnosis ISBN: 9811585334 ISBN-13(EAN): 9789811585333 Издательство: Springer Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 1. An Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis.- 2. Role of Computational Intelligence against COVID-19.- 3. Using Computational Intelligence for Tracking COVID-19 Outbreak in Online Social Networks.- 4. Social Network Analysis for the Identification of Key Spreaders during COVID-19.- 5. Mobile Technology Solution for COVID -19: Surveillance and Prevention.- 6. The Role of Internet of Things (IoT) in the Containment and Spread of the Novel COVID-19 Pandemic.- 7. A Review on Predictive Systems and Data Models for COVID-19.- 8. A Comparative Study of the SIR Prediction Models and Disease Control Strategies: A Case Study of the State of Kerala, India.- 9. Computational Intelligence Approach for Prediction of COVID-19 using Particle Swarm Optimization. 10. COVID-19 Insightful Data Visualization and Forecasting using Elasticsearch.
Автор: Raza Khalid Название: Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis ISBN: 9811585369 ISBN-13(EAN): 9789811585364 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 1. An Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis.- 2. Role of Computational Intelligence against COVID-19.- 3. Using Computational Intelligence for Tracking COVID-19 Outbreak in Online Social Networks.- 4. Social Network Analysis for the Identification of Key Spreaders during COVID-19.- 5. Mobile Technology Solution for COVID -19: Surveillance and Prevention.- 6. The Role of Internet of Things (IoT) in the Containment and Spread of the Novel COVID-19 Pandemic.- 7. A Review on Predictive Systems and Data Models for COVID-19.- 8. A Comparative Study of the SIR Prediction Models and Disease Control Strategies: A Case Study of the State of Kerala, India.- 9. Computational Intelligence Approach for Prediction of COVID-19 using Particle Swarm Optimization. 10. COVID-19 Insightful Data Visualization and Forecasting using Elasticsearch.
Автор: Pedrycz Название: Computational Intelligence in Telecommunications Networks ISBN: 084931075X ISBN-13(EAN): 9780849310751 Издательство: Taylor&Francis Рейтинг: Цена: 183750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Offers a look at the rapid progress of CI technology and shows its importance in solving the crucial problems of future telecommunications networks. This book covers a broad range of topics, from call admission control and congestion control, to network design and management and intelligent mobile agents.
Автор: Smith Название: Collective Intelligence in Computer-Based Collaboration ISBN: 0805813209 ISBN-13(EAN): 9780805813203 Издательство: Taylor&Francis Рейтинг: Цена: 45930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Proposing a new paradigm for Computer Supported Cooperative Work (CSCW), this ground-breaking book presents a research agenda for developing and testing that paradigm
Автор: Hand Название: Artificial Intelligence Frontiers in Statistics ISBN: 0412407108 ISBN-13(EAN): 9780412407109 Издательство: Taylor&Francis Рейтинг: Цена: 183750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a summary of recent work on the interface between artificial intelligence and statistics
Автор: Mehrotra Abhinav, Musolesi Mirco Название: Intelligent Notification Systems ISBN: 1681737213 ISBN-13(EAN): 9781681737218 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 52670.00 T Наличие на складе: Поставка под заказ. Описание: Notifications provide a unique mechanism for increasing the effectiveness of real-time information delivery systems. However, notifications that demand users' attention at inopportune moments are more likely to have adverse effects and might become a cause of potential disruption rather than proving beneficial to users.
In order to address these challenges a variety of intelligent notification mechanisms based on monitoring and learning users' behavior have been proposed. The goal of such mechanisms is maximizing users' receptivity to the delivered information by automatically inferring the right time and the right context for sending a certain type of information. This book presents an overview of the current state of the art in the area of intelligent notification mechanisms that rely on the awareness of users' context and preferences. We first present a survey of studies focusing on understanding and modeling users' interruptibility and receptivity to notifications from desktops and mobile devices. Then, we discuss the existing challenges and opportunities in developing mechanisms for intelligent notification systems in a variety of application scenarios.
Автор: Mehrotra Abhinav, Musolesi Mirco Название: Intelligent Notification Systems ISBN: 1681737191 ISBN-13(EAN): 9781681737195 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 33270.00 T Наличие на складе: Поставка под заказ. Описание: Notifications provide a unique mechanism for increasing the effectiveness of real-time information delivery systems. However, notifications that demand users' attention at inopportune moments are more likely to have adverse effects and might become a cause of potential disruption rather than proving beneficial to users.
In order to address these challenges a variety of intelligent notification mechanisms based on monitoring and learning users' behavior have been proposed. The goal of such mechanisms is maximizing users' receptivity to the delivered information by automatically inferring the right time and the right context for sending a certain type of information. This book presents an overview of the current state of the art in the area of intelligent notification mechanisms that rely on the awareness of users' context and preferences. We first present a survey of studies focusing on understanding and modeling users' interruptibility and receptivity to notifications from desktops and mobile devices. Then, we discuss the existing challenges and opportunities in developing mechanisms for intelligent notification systems in a variety of application scenarios.
Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles.
Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application.
In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.
Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles.
Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application.
In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.
Автор: Pradeep K. Atrey; Mohan S. Kankanhalli; Andrea Cav Название: Intelligent Multimedia Surveillance ISBN: 3662514532 ISBN-13(EAN): 9783662514535 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents recent findings in the field of intelligent multimedia surveillance, which are emerging from disciplines such as multimedia computing, computer vision, machine learning, pattern recognition, data mining and artificial intelligence.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
