Computational Modeling Of Infectious Diseases With Applications In Python

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Computational Modeling of Infectious Disease

Computational Modeling of Infectious Disease
  • Author : Chris Von Csefalvay
  • Publisher : Academic Press
  • Release Date : 2023-03-20
  • Total pages : 0
  • ISBN : 0323953891
  • File Size : 38,8 Mb
  • Total Download : 692
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Computational Modeling of Infectious Diseases: With Applications in Python provides an illustrated compendium of tools and tactics for analyzing infectious diseases using cutting-edge computational methods. From simple S(E)IR models through time series analysis to geospatial models, this book is both a guided tour through the computational analysis of infectious diseases and a quick-reference manual for practitioners. Chapters are accompanied by extensive practical examples in Python, illustrating applications from start to finish. Computational Modeling of Infectious Diseases is designed for researchers and practicing infectious disease forecasters, modelers, data scientists, and those who wish to learn more about analysis of infectious disease processes in the real world.

Introduction to Computation and Programming Using Python, third edition

Introduction to Computation and Programming Using Python, third edition
  • Author : John V. Guttag
  • Publisher : MIT Press
  • Release Date : 2021-01-05
  • Total pages : 659
  • ISBN : 9780262542364
  • File Size : 9,9 Mb
  • Total Download : 389
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The new edition of an introduction to the art of computational problem solving using Python. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy, matplotlib, random, pandas, and sklearn. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data as well as substantial material on machine learning. All of the code in the book and an errata sheet are available on the book’s web page on the MIT Press website.

Computational Science and Its Applications – ICCSA 2020

Computational Science and Its Applications – ICCSA 2020
  • Author : Osvaldo Gervasi,Beniamino Murgante,Sanjay Misra,Chiara Garau,Ivan Blečić,David Taniar,Bernady O. Apduhan,Ana Maria A.C. Rocha,Eufemia Tarantino,Carmelo Maria Torre,Yeliz Karaca
  • Publisher : Springer Nature
  • Release Date : 2020-10-01
  • Total pages : 1003
  • ISBN : 9783030588021
  • File Size : 52,8 Mb
  • Total Download : 388
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The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020. Due to COVID-19 pandemic the conference was organized in an online event. Computational Science is the main pillar of most of the present research, industrial and commercial applications, and plays a unique role in exploiting ICT innovative technologies. The 466 full papers and 32 short papers presented were carefully reviewed and selected from 1450 submissions. Apart from the general track, ICCSA 2020 also include 52 workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as software engineering, security, machine learning and artificial intelligence, blockchain technologies, and of applications in many fields.

Computational Science and Its Applications – ICCSA 2018

Computational Science and Its Applications – ICCSA 2018
  • Author : Osvaldo Gervasi,Beniamino Murgante,Sanjay Misra,Elena Stankova,Carmelo M. Torre,Ana Maria A.C. Rocha,David Taniar,Bernady O. Apduhan,Eufemia Tarantino,Yeonseung Ryu
  • Publisher : Springer
  • Release Date : 2018-07-03
  • Total pages : 785
  • ISBN : 9783319951652
  • File Size : 55,9 Mb
  • Total Download : 740
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The five volume set LNCS 10960 until 10964 constitutes the refereed proceedings of the 18th International Conference on Computational Science and Its Applications, ICCSA 2018, held in Melbourne, Australia, in July 2018. Apart from the general tracks, ICCSA 2018 also includes 34 international workshops in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as computer graphics and virtual reality. The total of 265 full papers and 10 short papers presented in the 5-volume proceedings set of ICCSA 2018, were carefully reviewed and selected from 892 submissions.

Computational Collective Intelligence

Computational Collective Intelligence
  • Author : Ngoc Thanh Nguyen,Lazaros Iliadis,Ilias Maglogiannis,Bogdan Trawiński
  • Publisher : Springer Nature
  • Release Date : 2021-09-29
  • Total pages : 817
  • ISBN : 9783030880811
  • File Size : 45,8 Mb
  • Total Download : 811
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This book constitutes the refereed proceedings of the 13th International Conference on Computational Collective Intelligence, ICCCI 2021, held in September/October 2021. The conference was held virtually due to the COVID-19 pandemic. The 58 full papers were carefully reviewed and selected from 230 submissions. The papers are grouped in topical issues on knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; cooperative strategies for decision making and optimization; data mining and machine learning; computer vision techniques; natural language processing; Internet of Things: technologies and applications; Internet of Things and computational technologies for collective intelligence; computational intelligence for multimedia understanding.

Computational Science – ICCS 2019

Computational Science – ICCS 2019
  • Author : João M. F. Rodrigues,Pedro J. S. Cardoso,Jânio Monteiro,Roberto Lam,Valeria V. Krzhizhanovskaya,Michael H. Lees,Jack J. Dongarra,Peter M.A. Sloot
  • Publisher : Springer
  • Release Date : 2019-06-07
  • Total pages : 659
  • ISBN : 9783030227340
  • File Size : 35,6 Mb
  • Total Download : 393
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The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter “Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Computational Science and Its Applications – ICCSA 2021

Computational Science and Its Applications – ICCSA 2021
  • Author : Osvaldo Gervasi,Beniamino Murgante,Sanjay Misra,Chiara Garau,Ivan Blečić,David Taniar,Bernady O. Apduhan,Ana Maria A. C. Rocha,Eufemia Tarantino,Carmelo Maria Torre
  • Publisher : Springer Nature
  • Release Date : 2021-09-10
  • Total pages : 720
  • ISBN : 9783030869700
  • File Size : 32,8 Mb
  • Total Download : 614
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​The ten-volume set LNCS 12949 – 12958 constitutes the proceedings of the 21st International Conference on Computational Science and Its Applications, ICCSA 2021, which was held in Cagliari, Italy, during September 13 – 16, 2021. The event was organized in a hybrid mode due to the Covid-19 pandemic.The 466 full and 18 short papers presented in these proceedings were carefully reviewed and selected from 1588 submissions. The books cover such topics as multicore architectures, mobile and wireless security, sensor networks, open source software, collaborative and social computing systems and tools, cryptography, human computer interaction, software design engineering, and others. Part III of the set icludes papers on Information Systems and Technologies and the proceeding of the following workshops: International Workshop on Automatic landform classification: spatial methods and applications (ALCSMA 2021); International Workshop on Application of Numerical Analysis to Imaging Science (ANAIS 2021); International Workshop on Advances in information Systems and Technologies for Emergency management, risk assessment and mitigationbased on the Resilience concepts (ASTER 2021); International Workshop on Advances in Web Based Learning (AWBL 2021).

BIOMAT 2009

BIOMAT 2009
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2023
  • Total pages : 229
  • ISBN : 9789814464963
  • File Size : 45,6 Mb
  • Total Download : 438
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PDF book entitled BIOMAT 2009 written by Anonim and published by Unknown which was released on 2023 with total hardcover pages 229, the book become popular and critical acclaim.

Integrative Computational Systems Biology Approaches in Immunology and Medicine

Integrative Computational Systems Biology Approaches in Immunology and Medicine
  • Author : Lars Kaderali,Fabian Theis,Esteban A. Hernandez-Vargas,Vitaly V. Ganusov,Stanca M. Ciupe,Ramit Mehr,Ruy Ribeiro
  • Publisher : Frontiers Media SA
  • Release Date : 2019-04-09
  • Total pages : 290
  • ISBN : 9782889458011
  • File Size : 46,9 Mb
  • Total Download : 898
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PDF book entitled Integrative Computational Systems Biology Approaches in Immunology and Medicine written by Lars Kaderali,Fabian Theis,Esteban A. Hernandez-Vargas,Vitaly V. Ganusov,Stanca M. Ciupe,Ramit Mehr,Ruy Ribeiro and published by Frontiers Media SA which was released on 2019-04-09 with total hardcover pages 290, the book become popular and critical acclaim.

Computational Epidemiology

Computational Epidemiology
  • Author : Ellen Kuhl
  • Publisher : Springer Nature
  • Release Date : 2021-09-22
  • Total pages : 312
  • ISBN : 9783030828905
  • File Size : 35,9 Mb
  • Total Download : 467
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This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health. If you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: This book is for you! It serves as a textbook for undergraduates and graduate students, and a monograph for researchers and scientists. It can be used in the mathematical life sciences suitable for courses in applied mathematics, biomedical engineering, biostatistics, computer science, data science, epidemiology, health sciences, machine learning, mathematical biology, numerical methods, and probabilistic programming. This book is a personal reflection on the role of data-driven modeling during the COVID-19 pandemic, motivated by the curiosity to understand it.

Modeling and Simulation in Python

Modeling and Simulation in Python
  • Author : Allen Downey
  • Publisher : Unknown
  • Release Date : 2017
  • Total pages : 228
  • ISBN : OCLC:1150782749
  • File Size : 27,7 Mb
  • Total Download : 477
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PDF book entitled Modeling and Simulation in Python written by Allen Downey and published by Unknown which was released on 2017 with total hardcover pages 228, the book become popular and critical acclaim.

Animal Biotechnology

Animal Biotechnology
  • Author : Ashish S. Verma,Anchal Singh
  • Publisher : Academic Press
  • Release Date : 2020-06-11
  • Total pages : 798
  • ISBN : 9780128117255
  • File Size : 13,5 Mb
  • Total Download : 457
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Animal Biotechnology: Models in Discovery and Translation, Second Edition, provides a helpful guide to anyone seeking a thorough review of animal biotechnology and its application to human disease and welfare. This updated edition covers vital fundamentals, including animal cell cultures, genome sequencing analysis, epigenetics and animal models, gene expression, and ethics and safety concerns, along with in-depth examples of implications for human health and prospects for the future. New chapters cover animal biotechnology as applied to various disease types and research areas, including in vitro fertilization, human embryonic stem cell research, biosensors, enteric diseases, biopharming, organ transplantation, tuberculosis, neurodegenerative disorders, and more. Highlights the latest biomedical applications of genetically modified and cloned animals, with a focus on cancer and infectious diseases Offers first-hand accounts of the use of biotechnology tools, including molecular markers, stem cells, animal cultures, tissue engineering, ADME and CAM Assay Includes case studies that illustrate safety assessment issues, ethical considerations, and intellectual property rights associated with the translation of animal biotechnology studies

Applied Computational Intelligence and Mathematical Methods

Applied Computational Intelligence and Mathematical Methods
  • Author : Radek Silhavy,Petr Silhavy,Zdenka Prokopova
  • Publisher : Springer
  • Release Date : 2017-09-04
  • Total pages : 394
  • ISBN : 9783319676210
  • File Size : 41,7 Mb
  • Total Download : 199
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The book discusses real-world problems and exploratory research in computational intelligence and mathematical models. It brings new approaches and methods to real-world problems and exploratory research that describes novel approaches in the mathematical methods, computational intelligence methods and software engineering in the scope of the intelligent systems. This book constitutes the refereed proceedings of the Computational Methods in Systems and Software 2017, a conference that provided an international forum for the discussion of the latest high-quality research results in all areas related to computational methods, statistics, cybernetics and software engineering.

Systems Medicine

Systems Medicine
  • Author : Anonim
  • Publisher : Academic Press
  • Release Date : 2020-08-24
  • Total pages : 1589
  • ISBN : 9780128160787
  • File Size : 47,6 Mb
  • Total Download : 992
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Technological advances in generated molecular and cell biological data are transforming biomedical research. Sequencing, multi-omics and imaging technologies are likely to have deep impact on the future of medical practice. In parallel to technological developments, methodologies to gather, integrate, visualize and analyze heterogeneous and large-scale data sets are needed to develop new approaches for diagnosis, prognosis and therapy. Systems Medicine: Integrative, Qualitative and Computational Approaches is an innovative, interdisciplinary and integrative approach that extends the concept of systems biology and the unprecedented insights that computational methods and mathematical modeling offer of the interactions and network behavior of complex biological systems, to novel clinically relevant applications for the design of more successful prognostic, diagnostic and therapeutic approaches. This 3 volume work features 132 entries from renowned experts in the fields and covers the tools, methods, algorithms and data analysis workflows used for integrating and analyzing multi-dimensional data routinely generated in clinical settings with the aim of providing medical practitioners with robust clinical decision support systems. Importantly the work delves into the applications of systems medicine in areas such as tumor systems biology, metabolic and cardiovascular diseases as well as immunology and infectious diseases amongst others. This is a fundamental resource for biomedical students and researchers as well as medical practitioners who need to need to adopt advances in computational tools and methods into the clinical practice. Encyclopedic coverage: ‘one-stop’ resource for access to information written by world-leading scholars in the field of Systems Biology and Systems Medicine, with easy cross-referencing of related articles to promote understanding and further research Authoritative: the whole work is authored and edited by recognized experts in the field, with a range of different expertise, ensuring a high quality standard Digitally innovative: Hyperlinked references and further readings, cross-references and diagrams/images will allow readers to easily navigate a wealth of information

Computational Intelligence for Managing Pandemics

Computational Intelligence for Managing Pandemics
  • Author : Aditya Khamparia,Rubaiyat Hossain Mondal,Prajoy Podder,Bharat Bhushan,Victor Hugo C. de Albuquerque,Sachin Kumar
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2021-09-06
  • Total pages : 340
  • ISBN : 9783110712278
  • File Size : 32,5 Mb
  • Total Download : 761
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This book uncovers the stakes and possibilities of handling pandemic diseases with the help of Computational Intelligence, using cases and applications from the current Covid-19 pandemic. The book chapters will focus on the application of CI and its related fields in managing different aspects of Covid-19, including modelling of the disease spread, data-driven prediction, identification of disease hotspots, and medical decision support.

Integration of Machine Learning and Computer Simulation in Solving Complex Physiological and Medical Questions

Integration of Machine Learning and Computer Simulation in Solving Complex Physiological and Medical Questions
  • Author : Nicole Y. K. Li-Jessen,Gary An,Michael Döllinger
  • Publisher : Frontiers Media SA
  • Release Date : 2022-08-01
  • Total pages : 171
  • ISBN : 9782889766734
  • File Size : 49,9 Mb
  • Total Download : 616
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PDF book entitled Integration of Machine Learning and Computer Simulation in Solving Complex Physiological and Medical Questions written by Nicole Y. K. Li-Jessen,Gary An,Michael Döllinger and published by Frontiers Media SA which was released on 2022-08-01 with total hardcover pages 171, the book become popular and critical acclaim.

Computational Intelligence Methodologies Applied to Sustainable Development Goals

Computational Intelligence Methodologies Applied to Sustainable Development Goals
  • Author : José Luis Verdegay
  • Publisher : Springer Nature
  • Release Date : 2022
  • Total pages : 301
  • ISBN : 9783030973445
  • File Size : 53,7 Mb
  • Total Download : 187
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This book presents computational intelligence methodologies and its applications to sustainable development goals. Along 18 chapters prepared by reputed scientists around the world, this book explores and focuses on the impacts produced by the application of artificial intelligence and mainly of computational intelligence, in sustainable development goals and on analysing how particularly computational intelligence can influence the ability to comply in a timely manner with all the sustainable development goals. Specialists from STEM areas will find in this book an attractive showcase of instances and research lines to be explored.

Handbook of Computational Social Science for Policy

Handbook of Computational Social Science for Policy
  • Author : Eleonora Bertoni,Matteo Fontana,Lorenzo Gabrielli,Serena Signorelli,Michele Vespe
  • Publisher : Springer Nature
  • Release Date : 2023-01-23
  • Total pages : 497
  • ISBN : 9783031166242
  • File Size : 11,8 Mb
  • Total Download : 181
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This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a small, proof-of concept, scale that prevented from unleashing its potential to provide systematic impact to the policy cycle, as well as from improving the understanding of societal problems to the definition, assessment, evaluation, and monitoring of policies. The aim of this handbook is to fill this gap by exploring ways to analyse and model data for policy support, and to advocate the adoption of CSS solutions for policy by raising awareness of existing implementations of CSS in policy-relevant fields. To this end, the book explores applications of computational methods and approaches like big data, machine learning, statistical learning, sentiment analysis, text mining, systems modelling, and network analysis to different problems in the social sciences. The book is structured into three Parts: the first chapters on foundational issues open with an exposition and description of key policymaking areas where CSS can provide insights and information. In detail, the chapters cover public policy, governance, data justice and other ethical issues. Part two consists of chapters on methodological aspects dealing with issues such as the modelling of complexity, natural language processing, validity and lack of data, and innovation in official statistics. Finally, Part three describes the application of computational methods, challenges and opportunities in various social science areas, including economics, sociology, demography, migration, climate change, epidemiology, geography, and disaster management. The target audience of the book spans from the scientific community engaged in CSS research to policymakers interested in evidence-informed policy interventions, but also includes private companies holding data that can be used to study social sciences and are interested in achieving a policy impact.

Advances in Computing and Data Sciences

Advances in Computing and Data Sciences
  • Author : Mayank Singh,Vipin Tyagi,P. K. Gupta,Jan Flusser,Tuncer Ören,V. R. Sonawane
  • Publisher : Springer Nature
  • Release Date : 2021-11-21
  • Total pages : 426
  • ISBN : 9783030882440
  • File Size : 41,8 Mb
  • Total Download : 171
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This two-volume book constitutes the post-conference proceedings of the 5th International Conference on Advances in Computing and Data Sciences, ICACDS 2021, held in Nashik, India, in April 2021.* The 103 full papers were carefully reviewed and selected from 781 submissions. Part II is devoted to data sciences, organizing principles, medical technologies, computational linguistics etc. *The conference was held virtually due to the COVID-19 pandemic.

Discovering Computer Science

Discovering Computer Science
  • Author : Jessen Havill
  • Publisher : CRC Press
  • Release Date : 2016-07-06
  • Total pages : 800
  • ISBN : 9781498786744
  • File Size : 43,8 Mb
  • Total Download : 502
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Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming introduces computational problem solving as a vehicle of discovery in a wide variety of disciplines. With a principles-oriented introduction to computational thinking, the text provides a broader and deeper introduction to computer science than typical introductory programming books. Organized around interdisciplinary problem domains, rather than programming language features, each chapter guides students through increasingly sophisticated algorithmic and programming techniques. The author uses a spiral approach to introduce Python language features in increasingly complex contexts as the book progresses. The text places programming in the context of fundamental computer science principles, such as abstraction, efficiency, and algorithmic techniques, and offers overviews of fundamental topics that are traditionally put off until later courses. The book includes thirty well-developed independent projects that encourage students to explore questions across disciplinary boundaries. Each is motivated by a problem that students can investigate by developing algorithms and implementing them as Python programs. The book's accompanying website — http://discoverCS.denison.edu — includes sample code and data files, pointers for further exploration, errata, and links to Python language references. Containing over 600 homework exercises and over 300 integrated reflection questions, this textbook is appropriate for a first computer science course for computer science majors, an introductory scientific computing course or, at a slower pace, any introductory computer science course.

Social Network Analysis

Social Network Analysis
  • Author : Mohammad Gouse Galety,Chiai Al Atroshi,Buni Balabantaray,Sachi Nandan Mohanty
  • Publisher : John Wiley & Sons
  • Release Date : 2022-05-24
  • Total pages : 260
  • ISBN : 9781119836230
  • File Size : 47,9 Mb
  • Total Download : 723
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SOCIAL NETWORK ANALYSIS As social media dominates our lives in increasing intensity, the need for developers to understand the theory and applications is ongoing as well. This book serves that purpose. Social network analysis is the solicitation of network science on social networks, and social occurrences are denoted and premeditated by data on coinciding pairs as the entities of opinion. The book features: Social network analysis from a computational perspective using python to show the significance of fundamental facets of network theory and the various metrics used to measure the social network. An understanding of network analysis and motivations to model phenomena as networks. Real-world networks established with human-related data frequently display social properties, i.e., patterns in the graph from which human behavioral patterns can be analyzed and extracted. Exemplifies information cascades that spread through an underlying social network to achieve widespread adoption. Network analysis that offers an appreciation method to health systems and services to illustrate, diagnose, and analyze networks in health systems. The social web has developed a significant social and interactive data source that pays exceptional attention to social science and humanities research. The benefits of artificial intelligence enable social media platforms to meet an increasing number of users and yield the biggest marketplace, thus helping social networking analysis distribute better customer understanding and aiding marketers to target the right customers. Audience The book will interest computer scientists, AI researchers, IT and software engineers, mathematicians.