Jose Antonio Marmolejo Saucedo – författare

Computational Modeling Applications for Climate Crisis provides readers with innovative research on the applications of computational modeling to moderate climate change. The book begins with an overview and history of climate change, followed by several chapters covering the concepts of computational modeling and simulation, including parameters of climate change, modeling the effects of human activities, visualization tools, and data fusion for advanced modeling applications. It then proceeds to cover decision support systems, modeling of technological solutions for climate change, modeling of greenhouse gas emissions, tracking of climate factors, and modeling of earth resources. In the final chapters of the book, the authors cover nation-based outcomes, big data, and optimization solutions with real-world data and case studies. Climate change is one of the most pressing existential issues for humans and the planet, and this book covers leading-edge applications of computational modeling to the vast array of interdisciplinary factors and challenges posed by climate change. As life itself is a mixture of occurrences that can be mathematically modelled, it is important to work with specific parameters, which are critical for monitoring and controlling the dynamics of the earth, natural resources, technological factors, and human activities.Illustrates how computational modeling techniques can be used for dealing with the climate crisis, including simulations, multi-mode-data, usage, and visualization-based researchProvides case studies demonstrating innovative solutions to moderate climate change, including mathematical, visual, and multi-data-based findings of applied researchAuthored by leading researchers in computational modeling

This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance and sustainability levels in the context of applications.Explainable Artificial Intelligence (XAI) in Healthcare adopts the understanding that AI solutions should not only have high accuracy performance, but also be transparent, understandable and reliable from the end user's perspective. The book discusses the techniques, frameworks, and tools to effectively implement XAI methodologies in critical problems of healthcare field. The authors offer different types of solutions, evaluation methods and metrics for XAI and reveal how the concept of explainability finds a response in target problem coverage. The authors examine the use of XAI in disease diagnosis, medical imaging, health tourism, precision medicine and even drug discovery. They also point out the importance of user perspectives and value of the data used in target problems. Finally, the authors also ensure a well-defined future perspective for advancing XAI in terms of healthcare.This book will offer great benefits to students at the undergraduate and graduate levels and researchers. The book will also be useful for industry professionals and clinicians who perform critical decision-making tasks.

This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance and sustainability levels in the context of applications.Explainable Artificial Intelligence (XAI) in Healthcare adopts the understanding that AI solutions should not only have high accuracy performance, but also be transparent, understandable and reliable from the end user's perspective. The book discusses the techniques, frameworks, and tools to effectively implement XAI methodologies in critical problems of healthcare field. The authors offer different types of solutions, evaluation methods and metrics for XAI and reveal how the concept of explainability finds a response in target problem coverage. The authors examine the use of XAI in disease diagnosis, medical imaging, health tourism, precision medicine and even drug discovery. They also point out the importance of user perspectives and value of the data used in target problems. Finally, the authors also ensure a well-defined future perspective for advancing XAI in terms of healthcare.This book will offer great benefits to students at the undergraduate and graduate levels and researchers. The book will also be useful for industry professionals and clinicians who perform critical decision-making tasks.

ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY AND CLIMATE CHANGEWritten and edited by a global team of experts in the field, this groundbreaking new volume presents the concepts and fundamentals of using artificial intelligence in renewable energy and climate change, while also covering the practical applications that can be utilized across multiple disciplines and industries, for the engineer, the student, and other professionals and scientists.Renewable energy and climate change are two of the most important and difficult issues facing the world today. The state of the art in these areas is changing rapidly, with new techniques and theories coming online seemingly every day. It is important for scientists, engineers, and other professionals working in these areas to stay abreast of developments, advances, and practical applications, and this volume is an outstanding reference and tool for this purpose.The paradigm in renewable energy and climate change shifts constantly. In today’s international and competitive environment, lean and green practices are important determinants to increase performance. Corresponding production philosophies and techniques help companies diminish lead times and costs of manufacturing, improve delivery on time and quality, and at the same time become more ecological by reducing material use and waste, and by recycling and reusing. Those lean and green activities enhance productivity, lower carbon footprint and improve consumer satisfaction, which in reverse makes firms competitive and sustainable.This practical, new groundbreaking volume: Features coverage on a wide range of topics such as classical and nature-inspired optimization and optimal control, hybrid and stochastic systemsIs ideally designed for engineers, scientists, industrialist, academicians, researchers, computer and information technologists, sustainable developers, managers, environmentalists, government leaders, research officers, policy makers, business leaders and studentsIs useful as a practical tool for practitioners in the fields of sustainable and renewable energy sustainabilityIncludes wide coverage of how artificial intelligence can be used to impact the struggle against global warming and climate change

Meeting consumer needs and desires, while promoting cleaner production and sustainable consumption, is one of the greatest challenges facing industry today. Addressing poverty and environmental degradation requires changing how global organizations produce and distribute goods and how people and organizations consume and dispose of them. It requires a more efficient use of resources, together with action-oriented thinking but raises a range of highly specific challenges for organizations operating in emerging economies. Best Practices in Green Supply Chain Management offers new insights on the challenges of integrating environmental awareness into supply chain management operations in developing countries. The authors present in-depth case studies from the Indian and Mexican manufacturing industries, which are used to illustrate broader lessons in the implementation of sustainable practices for developing economies. This book presents detailed findings and practical guidance to both researchers and practitioners working in the fields of business management, sustainability and green practices, as well as all those who wish to understand why organizations should integrate sustainable strategies and how to implement them.

Meeting consumer needs and desires, while promoting cleaner production and sustainable consumption, is one of the greatest challenges facing industry today. Addressing poverty and environmental degradation requires changing how global organizations produce and distribute goods and how people and organizations consume and dispose of them. It requires a more efficient use of resources, together with action-oriented thinking but raises a range of highly specific challenges for organizations operating in emerging economies. Best Practices in Green Supply Chain Management offers new insights on the challenges of integrating environmental awareness into supply chain management operations in developing countries. The authors present in-depth case studies from the Indian and Mexican manufacturing industries, which are used to illustrate broader lessons in the implementation of sustainable practices for developing economies. This book presents detailed findings and practical guidance to both researchers and practitioners working in the fields of business management, sustainability and green practices, as well as all those who wish to understand why organizations should integrate sustainable strategies and how to implement them.

This book provides a survey on research, development, and trends in innovative computing in communications engineering and computer science. It features selected and expanded papers from the EAI International Conference on Computer Science and Engineering 2018 (COMPSE 2018), with contributions by top global researchers and practitioners in the field. The content is of relevance to computer science graduates, researchers and academicians in computer science and engineering. The authors discuss new technologies in computer science and engineering that have reduced the dimension of data coverage worldwide, reducing the gaps and coverage of domains globally. They discuss how these advances have also contributed to strength in prediction, analysis, and decision in the areas such as Technology, Management, Social Computing, Green Computing, and Telecom. Contributions show how nurturing the research in technology and computing is essential to finding the right pattern in the ocean of data.Focuses on research areas of innovative computing and its application in engineering and technology;Includes contributions from researchers in computing and engineering from around the world;Features selected and expanded papers from EAI International Conference on Computer Science and Engineering 2018 (COMPSE 2018).

This book presents the proceedings of The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019).

This book presents the proceedings of The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019).

This book constitutes the refereed post-conference proceedings of the 4th International Conference on Computer Science and Health Engineering in Health Services.

This book constitutes the refereed post-conference proceedings of the 5th International Conference on Computer Science and Engineering in Health Services, COMPSE 2021, held in July 2021. Due to COVID-19 pandemic the conference was held virtually. The 17 full papers presented were carefully reviewed and selected from 46 submissions.

This book of Springer Nature is another proof of Springer’s outstanding and greatness on the lively interface of Smart Computational Optimization, Green ICT, Smart Intelligence and Machine Learning!

This book constitutes the refereed post-conference proceedings of the 6th EAI International Conference Computer on Science and Engineering in Health Services (COMPSE 2022), which took place in Mexico City and online, June 28th, 2022. The papers are grouped on thematic topics: application of tools delivered by the COVID-19 pandemic;

This book constitutes the refereed post-conference proceedings of the 6th EAI International Conference Computer on Science and Engineering in Health Services (COMPSE 2022), which took place in Mexico City and online, June 28th, 2022. The papers are grouped on thematic topics: application of tools delivered by the COVID-19 pandemic;

This book constitutes the refereed post-conference proceedings of the 7th EAI International Conference on Computer Science and Engineering in Health Services (COMPSE 2023), which took place November 16-17, 2023, in Mexico City, Mexico. The content is relevant to researchers, academics, students and professionals.

This book constitutes the refereed post-conference proceedings of the 7th EAI International Conference on Computer Science and Engineering in Health Services (COMPSE 2023), which took place November 16-17, 2023, in Mexico City, Mexico. The full papers presented were carefully reviewed and selected from dozens of submissions. The papers are grouped on thematic topics: application of tools delivered by the COVID-19 pandemic; health services; computer and data science; and industry 4.0 in logistics and supply chain. The content is relevant to researchers, academics, students and professionals.

This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Computer Science and Engineering in Health Services (COMPSE 2024), which took place September 10-12, 2024 in Laredo, Texas, USA. The full papers presented were carefully reviewed and selected from dozens of submissions. The papers are grouped on thematic topics: application of tools delivered by the COVID-19 pandemic; health services; computer and data science; and industry 4.0 in logistics and supply chain. The content is relevant to researchers, academics, students and professionals.Presents the proceedings of the 8th EAI International Conference on Computer Science and Engineering in Health Services;Includes topics such as computer and data science, AI tools and applications, and machine learning for optimization;Relevant to researchers, academics, students and professionals in communications engineering.

This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways and how potential solutions might be reached. They describe how new technologies in computing and engineering have reduced the dimension of data coverage worldwide, and how recent inventions in information and communication technology (ICT) have inched towards reducing the gaps and coverage of domains globally. The chapters cover how the digging of information in a large data and soft-computing techniques have contributed to a strength in prediction and analysis, for decision making in computer science, technology, management, social computing, green computing, and telecom. The book provides an insightful reference to the researchers in the fields of engineering and computer science. Researchers, academics, and professionals will benefit from this volume.Features selected expanded papers in modeling, simulation, and optimization from COMPSE 2016;Includes research into soft computing and its application in engineering and technology;Presents contributions from global experts in academia and industry in modeling, simulation, and optimization.

This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways and how potential solutions might be reached. They describe how new technologies in computing and engineering have reduced the dimension of data coverage worldwide, and how recent inventions in information and communication technology (ICT) have inched towards reducing the gaps and coverage of domains globally. The chapters cover how the digging of information in a large data and soft-computing techniques have contributed to a strength in prediction and analysis, for decision making in computer science, technology, management, social computing, green computing, and telecom. The book provides an insightful reference to the researchers in the fields of engineering and computer science. Researchers, academics, and professionals will benefit from this volume.Features selected expanded papers in modeling, simulation, and optimization from COMPSE 2016;Includes research into soft computing and its application in engineering and technology;Presents contributions from global experts in academia and industry in modeling, simulation, and optimization.

The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes.