Machine Learning in Disaster Management: Recent Developments in Methods and Applications by Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas, Yannis L. Karnavas

“…In particular, focus has been given on studies in the areas of disaster and hazard prediction, risk and vulnerability assessment, disaster detection, early warning systems, disaster monitoring, damage assessment and post-disaster response as well as cases studies. Furthermore, some recently developed ML and DL applications for disaster management have been analyzed. …”
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Long-lasting household damage from Cyclone Idai increases malaria risk in rural western Mozambique by Kelly M. Searle, Dominique E. Earland, Albino Francisco Bibe, Anísio Novela, Vali Muhiro, João L. Ferrão

“…This highlights the need for long-term disaster response to improve the efficiency and success of malaria control efforts.…”
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MANAGEMENT CHALLENGES OF COMMON DISASTERS by Emmanuel Ifeanyichukwu Nkeleme, Winston W Shakantu, Anthonia Ogwanighie

“…The study found that most firms rarely use the disaster threat information as part of their preparedness plan, nor has developed any disaster response techniques or recovery measures. The study has identified the major roles of a facilities manager in disaster management. …”
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DEVELOPMENT OF PROJECT BASED TEACHING MATERIAL IN BUILDING CONSTRUCTION COURSE by Zulkifli Matondang, Krisda Fadila

“…The teaching materials developed contain the characteristics and designs of disaster response houses adapted to the Building Construction course material and are project in nature. …”
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A state-of-the-art examination of disaster management in Sierra Leone: the implementation drawbacks, research gaps, advances, and prospects by Bashiru Turay, Sheku Gbetuwa

“…Following these findings, we recommend that all first responders be routinely exposed to international tabletop exercises and simulated disaster response training to help them build their capacities and learn from other countries. …”
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YOLO-IHD: Improved Real-Time Human Detection System for Indoor Drones by Gokhan Kucukayan, Hacer Karacan

“…This results in more dependable operation in critical situations like disaster response and indoor rescue missions. Moreover, when combined with an accelerating processing library, the model shows enhanced real-time detection capabilities and operates effectively in a real-world environment with a custom designed indoor drone. …”
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A Hidden‎ Markov Model‎ ‎Based‎ ‎Extended Case-Based Reasoning Algorithm for Relief Materials Demand Forecasting by Mohammad Reza Sadeghi Moghadam, Ahmad Jafarnejad, Jalil Heidary Dahooie, Iman Ghasemian Sahebi

“…‎In emergency situations‎, ‎accurate demand forecasting for relief materials such as food‎, ‎water‎, ‎and medicine is crucial for effective disaster response‎. ‎This research is presented a novel algorithm to demand forecasting for relief materials using extended Case-Based Reasoning (CBR) with the best-worst method (BWM) and Hidden Markov Models (HMMs)‎. ‎…”
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Nurses’ duty to care during the COVID-19 pandemic: a cross-sectional survey by Hyerine Shin, Kyung hee Kim, Ji-su Kim, Yeun-hee Kwak

“…Conclusion Without enough nursing manpower, the disaster response system could prove to be inefficient. …”
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The challenge of installing a tsunami early warning system in the vicinity of the Sunda Arc, Indonesia by J. Lauterjung, U. Münch, A. Rudloff

“…Almost a quarter of a million people were killed, as the region was not prepared either in terms of early-warning or in terms of disaster response. <br><br> In order to be able to provide, in future, a fast and reliable warning procedure for the population, Germany, immediately after the catastrophe, offered during the UN World Conference on Disaster Reduction in Kobe, Hyogo/Japan in January 2005 technical support for the development and installation of a tsunami early warning system for the Indian Ocean in addition to assistance in capacity building in particular for local communities. …”
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Analysis of Pharmaceutical Demand in the Region for Chronic Medicine Users Using National Health Insurance Data: Examination for Disaster Preparedness in Hakui City, Ishikawa Prefe... by Yuta Moriwaki, Yuma Morisaki, Shigehiro Karashima, Makoto Fujiu

“…When large earthquakes occur over wide areas, in addition to damage to medical facilities, the disaster response capabilities of local governments are severely compromised. …”
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A Novel Approach for Earthquake Prediction Using Random Forest and Neural Networks by Nidhi Agarwal, Ishika Arora, Harsh Saini, Ujjwal Sharma

“…CONCLUSION: The significance of this detection technique extends beyond theoretical research, as it can directly benefit organizations like the National Disaster Response Force (NDRF) in their relief efforts. …”
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Development of a Radar Reflector Kit for Older Adults to Use to Signal Their Location and Needs in a Large-Scale Earthquake Disaster by Yuma Morisaki, Makoto Fujiu, Ryoichi Furuta, Junichi Takayama

“…Many are physically or mentally vulnerable and require assistance during the different phases of disaster response, including rescue, evacuation, and living in an evacuation center. …”
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Vision Aided Dynamic Exploration of Unstructured Terrain with a Small-Scale Quadruped Robot by Kim, D, Carballo, D, Di Carlo, J, Katz, B, Bledt, G, Lim, B, Kim, S

“…Abstract— Legged robots have been highlighted as promising mobile platforms for disaster response and rescue scenarios because of their rough terrain locomotion capability. …”
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To Expedite Roadway Identification and Damage Assessment in LiDAR 3D Imagery for Disaster Relief Public Assistance by Mehta, Sharad, Peach, John, Weinert, Andrew

“…Albeit very accurate, extracting useful information from this data is a slow and laborious process. For disaster response, methods of automating this process have spurred the development of simple, fast algorithms that can be used to recognize physical structures from the point-cloud data that can later be assessed for structural damage. …”
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NGO coordination in humanitarian action : the case of Czech floods of August 2002 by Kumar, Pankaj, 1979-

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Rights-based evaluation of government responses to a given 'natural' disaster : Katrina as case study by Haeffner, Melissa (Melissa Ann)

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Living in the shadow of Mauna Loa by Hirji, Zahra R.(Zahra Rafik)

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Path planning and simulation for two aerial robots by Mi, Sicong

“…It emphasizes the importance of continued innovation in path planning techniques to support the growing applications of UAVs in fields such as surveillance, mapping, disaster response, and urban air mobility.…”
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A multi-agent framework for cloud-based management of collaborative robots by Samad, T, Iqbal, S, Malik, A, Arif, O, Bloodsworth, P

“… This paper presents a cloud-based multi-agent architecture for the intelligent management of aerial robots in a disaster response situation. In a disaster scenario, a team of highly maneuverable quadcopters is deployed to carry out surveillance and decision support in disaster-affected areas. …”

Extreme rainfall and its impacts in the Brazilian Minas Gerais state in January 2020: Can we blame climate change? by Dalagnol, R, Gramcianinov, CB, Crespo, NM, Luiz, R, Chiquetto, JB, Marques, MTA, Neto, GD, de Abreu, RC, Li, S, Lott, FC, Anderson, LO, Sparrow, S

“…Public management and policies must evolve from the disaster response modus operandi in order to prevent future disasters.…”