Predicting Earthquakes, Eruptions, and Tsunamis With Machine Learning Forecasting - Couverture souple
À propos de l'auteur
Froilan Mobo is a distinguished academician and researcher currently serving as a Full Professor II at the Philippine Merchant Marine Academy (PMMA). With a profound commitment to the intersection of technology and education, he has become a leading voice in the fields of educational technology, artificial intelligence, and maritime education. Dr. Mobo’s academic background is extensive, characterized by a pursuit of multidisciplinary expertise. He holds a PhD in Development Education from Central Luzon State University and a Doctor in Public Administration. Complementing his doctoral degrees are three master's qualifications: a Master of Business Administration, a Master of Science in Computer Science, and a Master of Arts in Social Studies Education. He is currently further expanding his business acumen as a candidate for a Doctor in Business Administration at the Polytechnic University of the Philippines. As a prolific researcher, Dr. Mobo has gained international recognition for his contributions to scholarly literature. His work is widely indexed in prestigious databases such as Scopus and Web of Science, maintaining a significant citation record and an h-index that reflects his influence in the global research community. His expertise is frequently sought after in editorial roles for international journals and as a resource expert for global academic forums. Beyond the classroom and the laboratory, Dr. Mobo is a dedicated public servant and community leader. He serves as the President of the International Human Rights Movement Philippines and is the active President of his local homeowners association, where he advocates for infrastructure development and utility stabilization. His advocacy also extends to environmental protection, having served as a resource expert on climate adaptation and human rights. Dr. Mobo is a Licensed Professional Teacher and a Certified Human Resource Associate, blending high-level theoretical knowledge with practical, professional certifications. His career is marked by numerous accolades, including the Luminary Excellence in Education and Research Award, affirming his status as a top-tier educator and researcher in the Philippines.
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Predicting Earthquakes, Eruptions, and Tsunamis With Machine Learning Forecasting
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Paperback. Etat : new. Paperback. As natural disasters grow in frequency and intensity, the need for faster and more accurate prediction has become increasingly urgent. Traditional physics-based models, while foundational, often struggle with computational limitations and incomplete or noisy data. In response, advances in machine learning and algorithmic techniques are opening new pathways for analyzing complex patterns and improving predictive capabilities. By harnessing data-driven approaches, researchers are beginning to transform how geo-hazards such as earthquakes, volcanic eruptions, and tsunamis are understood and anticipated. Predicting Earthquakes, Eruptions, and Tsunamis With Machine Learning Forecasting addresses the critical need to improve the accuracy and speed of natural disaster prediction by leveraging advanced machine learning (ML) and algorithmic techniques. Through a comprehensive, interdisciplinary approach, the book demonstrates how ML methods can be applied to complex geophysical datasets such as seismic waveforms, GPS deformation data, satellite imagery, thermal signals, and ocean buoy readings to enhance predictive capabilities. Covering topics such as aftershock sequence forecasting, eruption prediction, and volcanic seismicity, this book is a fundamental academic resource for graduate and doctoral students, disaster risk management practitioners, technology developers, data scientists, policy makers and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798337380438
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Paperback. Etat : new. Paperback. As natural disasters grow in frequency and intensity, the need for faster and more accurate prediction has become increasingly urgent. Traditional physics-based models, while foundational, often struggle with computational limitations and incomplete or noisy data. In response, advances in machine learning and algorithmic techniques are opening new pathways for analyzing complex patterns and improving predictive capabilities. By harnessing data-driven approaches, researchers are beginning to transform how geo-hazards such as earthquakes, volcanic eruptions, and tsunamis are understood and anticipated. Predicting Earthquakes, Eruptions, and Tsunamis With Machine Learning Forecasting addresses the critical need to improve the accuracy and speed of natural disaster prediction by leveraging advanced machine learning (ML) and algorithmic techniques. Through a comprehensive, interdisciplinary approach, the book demonstrates how ML methods can be applied to complex geophysical datasets such as seismic waveforms, GPS deformation data, satellite imagery, thermal signals, and ocean buoy readings to enhance predictive capabilities. Covering topics such as aftershock sequence forecasting, eruption prediction, and volcanic seismicity, this book is a fundamental academic resource for graduate and doctoral students, disaster risk management practitioners, technology developers, data scientists, policy makers and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798337380438
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Paperback. Etat : new. Paperback. As natural disasters grow in frequency and intensity, the need for faster and more accurate prediction has become increasingly urgent. Traditional physics-based models, while foundational, often struggle with computational limitations and incomplete or noisy data. In response, advances in machine learning and algorithmic techniques are opening new pathways for analyzing complex patterns and improving predictive capabilities. By harnessing data-driven approaches, researchers are beginning to transform how geo-hazards such as earthquakes, volcanic eruptions, and tsunamis are understood and anticipated. Predicting Earthquakes, Eruptions, and Tsunamis With Machine Learning Forecasting addresses the critical need to improve the accuracy and speed of natural disaster prediction by leveraging advanced machine learning (ML) and algorithmic techniques. Through a comprehensive, interdisciplinary approach, the book demonstrates how ML methods can be applied to complex geophysical datasets such as seismic waveforms, GPS deformation data, satellite imagery, thermal signals, and ocean buoy readings to enhance predictive capabilities. Covering topics such as aftershock sequence forecasting, eruption prediction, and volcanic seismicity, this book is a fundamental academic resource for graduate and doctoral students, disaster risk management practitioners, technology developers, data scientists, policy makers and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798337380438
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As natural disasters grow in frequency and intensity, the need for faster and more accurate prediction has become increasingly urgent. Traditional physics-based models, while foundational, often struggle with computational limitations and incomplete or noisy data. In response, advances in machine learning and algorithmic techniques are opening new pathways for analyzing complex patterns and improving predictive capabilities. By harnessing data-driven approaches, researchers are beginning to transform how geo-hazards such as earthquakes, volcanic eruptions, and tsunamis are understood and anticipated. Predicting Earthquakes, Eruptions, and Tsunamis With Machine Learning Forecasting addresses the critical need to improve the accuracy and speed of natural disaster prediction by leveraging advanced machine learning (ML) and algorithmic techniques. Through a comprehensive, interdisciplinary approach, the book demonstrates how ML methods can be applied to complex geophysical datasets such as seismic waveforms, GPS deformation data, satellite imagery, thermal signals, and ocean buoy readings to enhance predictive capabilities. Covering topics such as aftershock sequence forecasting, eruption prediction, and volcanic seismicity, this book is a fundamental academic resource for graduate and doctoral students, disaster risk management practitioners, technology developers, data scientists, policy makers and more. N° de réf. du vendeur 9798337380438
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Taschenbuch. Etat : Neu. Predicting Earthquakes, Eruptions, and Tsunamis With Machine Learning Forecasting | Froilan D. Mobo | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337380438 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 135459831
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