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Bambang Setio Budianto,Muhammad Yanuar Jarwadi Purwanto,Widiatmaka Widiatmaka,Lilik Budi Prasetyo
Pág. 120 - 126
Various natural disasters, such as floods and landslides, are often associated with extreme weather conditions, especially rainfall, where in fact the possibility of such a disaster will be smaller if the carrying capacity of the land is still good. The ...
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Barbara Cardone, Valeria D?Ambrosio, Ferdinando Di Martino and Vittorio Miraglia
One of the issues of greatest interest in urban planning today concerns the evaluation of the most vulnerable urban areas in the presence of different types of climate hazards. In this research, a hierarchical fuzzy MCDA model is implemented on a GIS-bas...
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Nicholas V. Sarlis, Efthimios S. Skordas, Stavros-Richard G. Christopoulos and Panayiotis K. Varotsos
Here, we employ natural time analysis of seismicity together with non-extensive statistical mechanics aiming at shortening the occurrence time window of the Kahramanmaras-Gazientep M7.8 earthquake. The results obtained are in the positive direction point...
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George Westergaard, Utku Erden, Omar Abdallah Mateo, Sullaiman Musah Lampo, Tahir Cetin Akinci and Oguzhan Topsakal
Automated Machine Learning (AutoML) tools are revolutionizing the field of machine learning by significantly reducing the need for deep computer science expertise. Designed to make ML more accessible, they enable users to build high-performing models wit...
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Luisa Boni, Marco Bassetto and Alessandro A. Quarta
Photonic solar sails are a class of advanced propellantless propulsion systems that use thin, large, lightweight membranes to convert the momentum of light from the Sun into thrust for space navigation. The conceptually simple nature of such a fascinatin...
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Paul Lee, Gerasimos Theotokatos and Evangelos Boulougouris
Autonomous ships are expected to extensively rely on perception sensors for situation awareness and safety during challenging operations, such as reactive collision avoidance. However, sensor noise is inevitable and its impact on end-to-end decision-maki...
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Carmine Massarelli and Vito Felice Uricchio
This study focuses on the analysis, implementation and integration of techniques and methods, also based on mathematical algorithms and artificial intelligence (AI), to acquire knowledge of some phenomena that produce pollution with an impact on environm...
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Christy M. Caudill, Peter L. Pulsifer, Romola V. Thumbadoo and D. R. Fraser Taylor
The halfway point for the implementation of the United Nations Sustainable Development Goals (SDGs) was marked in 2023, as set forth in the 2030 Agenda. Geospatial technologies have proven indispensable in assessing and tracking fundamental components of...
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Shadi Eltanani, Tjeerd V. olde Scheper, Mireya Muñoz-Balbontin, Arantza Aldea, Jo Cossington, Sophie Lawrie, Salvador Villalpando-Carrion, Maria Jose Adame, Daniela Felgueres, Clare Martin and Helen Dawes
Human gait is a significant indicator of overall health and well-being due to its dependence on metabolic requirements. Abnormalities in gait can indicate the presence of metabolic dysfunction, such as diabetes or obesity. However, detecting these can be...
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Panayiotis A. Varotsos, Nicholas V. Sarlis, Efthimios S. Skordas, Toshiyasu Nagao, Masashi Kamogawa, E. Leticia Flores-Márquez, Alejandro Ramírez-Rojas and Jennifer Perez-Oregon
This article is focused on a new procedure concerning a more accurate identification of the occurrence time of an impending major earthquake (EQ). Specifically, we first recapitulate that, as was recently shown [P. Varotsos et al., Communications in Nonl...
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