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AI for Disease Surveillance and Pandemic Intelligence: Intelligent Disease Detection in Action, Shaban-Nejad Arash, Michalowski Martin, Bianco Simone


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При оформлении заказа до: 2026-06-01
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Автор: Shaban-Nejad Arash, Michalowski Martin, Bianco Simone
Название:  AI for Disease Surveillance and Pandemic Intelligence: Intelligent Disease Detection in Action
ISBN: 9783030930790
Издательство: Springer
Классификация:


ISBN-10: 3030930793
Обложка/Формат: Hardcover
Страницы: 352
Вес: 0.67 кг.
Дата издания: 09.03.2022
Серия: Studies in computational intelligence
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 63 illustrations, color; 24 illustrations, black and white; xix, 331 p. 87 illus., 63 illus. in color.
Размер: 23.39 x 15.60 x 2.06 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Intelligent disease detection in action
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book aims to highlight the latest achievements in the use of artificial intelligence for digital disease surveillance, pandemic intelligence, as well as public and clinical health surveillance. The edited book contains selected papers presented at the 2021 Health Intelligence workshop, co-located with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. While disease surveillance has always been a crucial process, the recent global health crisis caused by COVID-19 has once again highlighted our dependence on intelligent surveillance infrastructures that provide support for making sound and timely decisions. This book provides information for researchers, students, industry professionals, and public health agencies interested in the applications of AI in population health and personalized medicine.
Дополнительное описание: Digital Technologies for Clinical, Public and Global Health Surveillance.- Imputing Fine-grain Patterns of Mental Health with Statistical Modelling of Online Data.- Lexical and Acoustic Correlates of Clinical Speech Disturbance in Schizo-phrenia.-A Progno



Intelligent Computing and Signal Processing

Автор: Rajesh R., Thasleema T. M., Kumar V.
Название: Intelligent Computing and Signal Processing
ISBN: 8184876912 ISBN-13(EAN): 9788184876918
Издательство: Mare Nostrum (Eurospan)
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Цена: 8593.00 р.
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.

The Effect of Coronavirus Disease (Covid-19) on Business Intelligence

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: 28051.00 р.
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.

Computational Intelligence Methods in Covid-19: Surveillance, Prevention, Prediction and Diagnosis

Автор: Raza Khalid
Название: Computational Intelligence Methods in Covid-19: Surveillance, Prevention, Prediction and Diagnosis
ISBN: 9811585334 ISBN-13(EAN): 9789811585333
Издательство: Springer
Цена: 18294.00 р.
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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.

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

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: 18294.00 р.
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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.

Computational Intelligence in Telecommunications Networks

Автор: Pedrycz
Название: Computational Intelligence in Telecommunications Networks
ISBN: 084931075X ISBN-13(EAN): 9780849310751
Издательство: Taylor&Francis
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Цена: 29093.00 р.
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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.

Collective Intelligence in Computer-Based Collaboration

Автор: Smith
Название: Collective Intelligence in Computer-Based Collaboration
ISBN: 0805813209 ISBN-13(EAN): 9780805813203
Издательство: Taylor&Francis
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Цена: 7348.00 р.
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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

Artificial Intelligence Frontiers in Statistics

Автор: Hand
Название: Artificial Intelligence Frontiers in Statistics
ISBN: 0412407108 ISBN-13(EAN): 9780412407109
Издательство: Taylor&Francis
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Цена: 29093.00 р.
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Описание: This book presents a summary of recent work on the interface between artificial intelligence and statistics

Recent Advances In Intelligent Technologies And Information Systems

Автор: Sugumaran
Название: Recent Advances In Intelligent Technologies And Information Systems
ISBN: 1466666390 ISBN-13(EAN): 9781466666399
Издательство: Mare Nostrum (Eurospan)
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Цена: 29106.00 р.
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Описание: The amount of data used in the business world has been growing at a rapid and exponential rate. These large volumes of data have led not only to the rise of big data analytics, but to the need for improvements and advancements in the management of it.Recent Advances in Intelligent Technologies and Information Systems brings together current practices and innovations in the management and processing of diverse big data sets through technological integration. Focusing on concepts such as semantic technologies, open source tools, and soft computing, this book is an integral reference source for professionals, researchers, and practitioners interested in the application of technological advancements.

Artificial Intelligence Trends in Intelligent Systems

Автор: Radek Silhavy; Roman Senkerik; Zuzana Kominkova Op
Название: Artificial Intelligence Trends in Intelligent Systems
ISBN: 3319572601 ISBN-13(EAN): 9783319572604
Издательство: Springer
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Цена: 34150.00 р.
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Описание: This book presents new methods and approaches to real-world problems as well as exploratory research that describes novel artificial intelligence applications, including deep learning, neural networks and hybrid algorithms.

Artificial Intelligence Perspectives in Intelligent Systems

Автор: Radek Silhavy; Roman Senkerik; Zuzana Kominkova Op
Название: Artificial Intelligence Perspectives in Intelligent Systems
ISBN: 3319336231 ISBN-13(EAN): 9783319336237
Издательство: Springer
Рейтинг:
Цена: 25077.00 р.
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Описание: A Classification Schema for the Job Shop Scheduling Problem with Transportation Resources: State-Of-The-Art Review.- Narration Framework of Chinese Ancient Fiction Images in the Digital Environment.- Toward Computing Oriented Representation of Sets.- Simplified Version of White Wine Grape Berries Detector Based on SVM and HOG Features.- Automated Product Design and Development Using Evolutionary Ontology.- Energy Conservation Technique on Multiple Radio Incorporated Smart Phones.- Real Time Tasks Scheduling Optimization Using Quantum Inspired Genetic Algorithms.- Fuzzy Energy Aware Real Time Scheduling Targeting Mono-Processor Embedded Architectures.- Total Tardiness Minimization in a Flow Shop With Blocking Using An Iterated Greedy Algorithm.- A Firefly Algorithm to Solve the Manufacturing Cell Design Problem.- Solving the Manufacturing Cell Design Problem Via Invasive Weed Optimization.- VLSI Placement Problem Based on Ant Colony Optimization Algorithm.- Pattern Recognition on the Basis of Boltzmann Machine Model.- Parallel Genetic Algorithm Based on Fuzzy Controller for Design Problems.- To Scheduling Quality of Sets of Precise Form Which Consist of Tasks of Circular And Hyperbolic Type In Grid Systems.- Exploring Performance of Instance Selection Methods in Text Sentiment Classification.- Placement of Vlsi Fragments Based on A Multilayered Approach.- Genetic Algorithm Approach in Optimizing the Energy Intake for Health Purpose.- Formal Verification and Accelerated Inference.- A Hybrid Approach to Automated Music Composition.- Detection of White Grapes in Natural Environment Using Neural Network as A Classifier.- A Concept of Innovative Speech Interfaces With Augmented Reality and Interactive Systems for Controlling Lifting Devices.- Sentiment Analysis of Customer Reviews Using Robust Hierarchical Bidirectional Recurrent Neural Network.- Binary Image Quality Assessment - A Hybrid Approach Based on Binarization Evaluation Methods.- Biogeography-Based Optimization Algorithm for Solving the Set Covering Problem.- Approaches to Tackle the Nesting Problems.- Lozi Map Generated Initial Population in Analytical Programming.- Comparison of Success Rate of Numerical Weather Prediction Models With Forecasting System of Convective Precipitation.- High Speed, Efficient Area, Low Power Novel Modified Booth Encoder Multiplier for Signed-Unsigned Number.- Mining Customer Behavior in Trial Period of a Web Application Usage - Case Study.- In Search of a Semantic Book Search Engine on the Web: Are we there Yet?.- Automated Design and Optimization of Specific Algebras by Genetic Algorithms.- Hybrid Nature-Inspired Algorithm for Symbol Regression Problem.- Albanian Advertising Keyword Generation and Expansion.- A Beam-Search Approach to the Set Covering Problem.- Generating Fuzzy Rules for Constructing Interpretable Classifier of Diabetes Disease In Bangladesh.- A Semantic Annotation Model for Arabic Normative Provisions.- A Touch Sensitive Keypad Layout for Improved Usability of Smartphones for the Blind and Visually Impaired Persons.- A Nature Inspired Intelligent Water Drop Algorithm and its Application for Solving the Set Covering Problem.- Firefly Algorithm to Solve a Project Scheduling Problem.- A Binary Invasive Weed Optimization Algorithm for the Set Covering Problem.- A Simplified Form of Fuzzy Multiset Finite Automata.- Fireworks Explosion can Solve the Set Covering Problem.- A Bi-Objective Cat Swarm Optimization Algorithm for Set Covering Problem.- An Alternative Solution to the Software Project Scheduling Problem.- A Binary Cat for the Set Covering Problem.- Study on the Time Development of Complex Network for Metaheuristic.


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