Advances And Applications Of Artificial Intelligence And Numerical Simulation In Risk Emergency Management And Treatment
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Advances And Applications Of Artificial Intelligence And Numerical Simulation In Risk Emergency Management And Treatment
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Author : Yunhui Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-07-24
Advances And Applications Of Artificial Intelligence And Numerical Simulation In Risk Emergency Management And Treatment written by Yunhui Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-24 with Science categories.
Predicting Natural Disasters With Ai And Machine Learning
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Author : Satishkumar, D.
language : en
Publisher: IGI Global
Release Date : 2024-02-16
Predicting Natural Disasters With Ai And Machine Learning written by Satishkumar, D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-16 with Nature categories.
In a world where the relentless force of natural and man-made disasters threatens societies, the need for effective disaster management has never been more critical. Predicting Natural Disasters With AI and Machine Learning addresses the challenges of disasters and charts a path toward proactive solutions by applying artificial intelligence (AI) and machine learning (ML). This book begins by interpreting the nature of disasters, clearly distinguishing between natural and man-made hazards. It delves into the intricacies of disaster risk reduction (DRR), emphasizing the human contribution to most disasters. Recognizing the necessity for a multifaceted approach, the book advocates the four ‘R’s - Risk Mitigation, Response Readiness, Response Execution, and Recovery - as integral components of comprehensive disaster management. This book explores various AI and ML applications designed to predict, manage, and mitigate the impact of natural disasters, focusing on natural language processing, and early warning systems. The contrast between weak AI, simulating human intelligence for specific tasks, and strong AI, capable of autonomous problem-solving, is thoroughly examined in the context of disaster management. Its chapters systematically address critical issues, including real-world data handling, challenges related to data accessibility, completeness, security, privacy, and ethical considerations.
Ai And Robotics In Disaster Studies
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Author : T. V. Vijay Kumar
language : en
Publisher: Springer Nature
Release Date : 2020-10-12
Ai And Robotics In Disaster Studies written by T. V. Vijay Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with Business & Economics categories.
This book promotes a meaningful and appropriate dialogue and cross-disciplinary partnerships on Artificial Intelligence (AI) in governance and disaster management. The frequency and the cost of losses and damages due to disasters are rising every year. From wildfires to tsunamis, drought to hurricanes, floods to landslides combined with chemical, nuclear and biological disasters of epidemic proportions has increased human vulnerability and ecosystem sustainability. Life is not as it used to be and governance to manage disasters cannot be a business as usual. The quantum and proportion of responsibilities with the emergency services has increased many times to strain them beyond their human capacities. Its time that the struggling disaster management services get supported and facilitated by new technology of combining Artificial Intelligence (AI) and Machine Learning (ML) with Data Analytics Technologies (DAT)to serve people and government in disaster management. AI and ML have advanced to a state where they could be utilized for many operations in disaster risk reduction. Even though many disasters cannot be prevented and a number of them are blind natural disasters yet through an appropriate application of AI and ML quick predictions, vulnerability identification and classification of relief and rescue operations could be achieved.
Internet Of Things And Ai For Natural Disaster Management And Prediction
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Author : Satishkumar, D.
language : en
Publisher: IGI Global
Release Date : 2024-03-07
Internet Of Things And Ai For Natural Disaster Management And Prediction written by Satishkumar, D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-07 with Nature categories.
In a world where natural disasters wreak havoc with increasing frequency and severity, the need for accurate prediction and effective management has never been more critical. From earthquakes shattering communities to floods submerging vast regions, these events endanger lives and strain resources and infrastructure to their limits. Yet, amidst this turmoil, traditional forecasting methods often need to catch up, leaving us vulnerable and reactive rather than proactive. This comprehensive academic collection provides a beacon of hope in uncertain circumstances: Internet of Things and AI for Natural Disaster Management and Prediction. By bridging the gap between theory and practice, this book empowers academics, policymakers, and practitioners alike to harness the full potential of machine learning in safeguarding lives and livelihoods.
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume Ii
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Author : Zhongheng Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-05-27
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume Ii written by Zhongheng Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-27 with Medical categories.
Artificial Intelligence In Healthcare
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Author : Anusha Kostka
language : en
Publisher: OrangeBooks Publication
Release Date : 2024-05-19
Artificial Intelligence In Healthcare written by Anusha Kostka and has been published by OrangeBooks Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-19 with Education categories.
"Artificial Intelligence in Healthcare: A Compilation of Case Studies" offers a comprehensive view of AI's transformative impact on healthcare. Delving into applications and challenges, the book showcases detailed case studies illuminating AI's role in diagnosis, treatment, prevention, and management. From early cancer detection to personalized medicine, each case study exemplifies AI's potential to improve patient outcomes. Ethical dilemmas and emerging trends in AI research are also explored, providing a holistic view of AI's future in healthcare. This book is an essential guide for researchers, healthcare professionals, and anyone intrigued by AI's potential to revolutionize healthcare delivery.
Emergency Medicine Applications Of Artificial Intelligence
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Author : Sonja Andersen
language : en
Publisher: American Medical Publishers
Release Date : 2023-09-26
Emergency Medicine Applications Of Artificial Intelligence written by Sonja Andersen and has been published by American Medical Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Medical categories.
The rapid advancements in artificial intelligence technology have paved the way for the use of machine learning applications in health care. These applications address existing challenges in the emergency department such as triage and disposition, early detection of conditions and outcomes, emergency department operations, and therapeutic interventions. Artificial intelligence can be used in three ways in the context of emergency and critical care. The first one is to build risk stratification prediction models in critical care. The second use of AI involves utilizing unsupervised machine learning techniques to divide the varied population into homogeneous subgroups. The third use of AI is for reinforcement learning algorithms to prescribe treatment regimens in a sequential way. The dynamic treatment regime (DTR) model uses reinforcement learning to estimate a set of decision rules, one for each step of intervention. It specifies how to tailor treatments to patients considering their treatment and covariate histories. DTR lowers model complexity and is considered more appropriate for medical epidemiology. This book is a vital tool for all researching or studying the role of AI in emergency medicine. It aims to equip students and experts with the advanced topics and upcoming concepts in this subject.
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume Iv
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Author : Zhongheng Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2024-01-23
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume Iv written by Zhongheng Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-23 with Medical categories.
This Research Topic is the fourth volume of the series Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine Volume I: Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume I Volume II:Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume II Volume III:Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume III Analytics based on artificial intelligence has greatly advanced scientific research fields like natural language processing and imaging classification. Clinical research has also greatly benefited from artificial intelligence. Emergency and critical care physicians face patients with rapidly changing conditions, which require accurate risk stratification and initiation of rescue therapy. Furthermore, critically ill patients, such as those with sepsis, acute respiratory distress syndrome, and trauma, are comprised of heterogeneous population. The “one-size-fit-all” paradigm may not fit for the management of such heterogeneous patient population. Thus, artificial intelligence can be employed to identify novel subphenotypes of these patients. These sub classifications can provide not only prognostic value for risk stratification but also predictive value for individualized treatment. With the development of transcriptome providing a large amount of information for an individual, artificial intelligence can greatly help to identify useful information from high dimensional data. Altogether, it is of great importance to further utilize artificial intelligence in the management of critically ill patients.
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume Iii
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Author : Zhongheng Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-01-27
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume Iii written by Zhongheng Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-27 with Medical categories.
Advances In Production Management Systems Artificial Intelligence For Sustainable And Resilient Production Systems
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Author : Alexandre Dolgui
language : en
Publisher: Springer Nature
Release Date : 2021-09-01
Advances In Production Management Systems Artificial Intelligence For Sustainable And Resilient Production Systems written by Alexandre Dolgui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Computers categories.
The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.