Deep learning-based automated learning environment using smart data to improve corporate marketing, business strategies, fraud detection in financial services, and …
The automated learning environment is based on recurrent neural network trained with long
short-term memory, used because of its ability to learn, in taking the concatenated function …
short-term memory, used because of its ability to learn, in taking the concatenated function …
The levee dilemma game: A game experiment on flood management decision-making
A popular flood management measure, levees can effectively protect one place from
flooding but can worsen flood risk elsewhere; they can also worsen the long-term flood risk …
flooding but can worsen flood risk elsewhere; they can also worsen the long-term flood risk …
E-learning in teaching emergency disaster response among undergraduate medical students in Malaysia
Introduction: Teaching disaster response medicine (DRM) to medical students requires
considerable resources. We evaluate the effectiveness of e-learning in teaching emergency …
considerable resources. We evaluate the effectiveness of e-learning in teaching emergency …
Deep learning and social media for managing disaster: survey
The broad dissemination and scope of social networks enables individuals to exchange
information in real-time. This active involvement of societies plays a major role in reducing …
information in real-time. This active involvement of societies plays a major role in reducing …
Enhancing crisis management because of deep learning, big data and parallel computing environment: survey
The broad dissemination and scope of social media enables individuals to exchange
information in realtime. This active involvement of societies plays a major role in reducing …
information in realtime. This active involvement of societies plays a major role in reducing …
Enhancing warning, situational awareness, assessment and education in managing emergency: Case study of COVID-19
The volume of network and Internet traffic is increasing extraordinarily fast daily, creating
huge data. With this volume, variety, speed, and precision of data, it is hard to collect crisis …
huge data. With this volume, variety, speed, and precision of data, it is hard to collect crisis …
Managing emergency crises using secure information through educational awareness: COVID-19 case study
Z Bouzidi, A Boudries - Computers in Biology and Medicine, 2025 - Elsevier
Social networks are increasingly taking over daily life, creating a volume of unsecured data
and making it very difficult to capture safe data, especially in times of crisis. This study aims …
and making it very difficult to capture safe data, especially in times of crisis. This study aims …
LSTM-based automated learning with smart data to improve marketing fraud detection and financial forecasting
This proposed model is based on a deep recurrent neural network trained with Long Short-
Term Memory Network (LSTM), used because of its ability to learn long term dependencies …
Term Memory Network (LSTM), used because of its ability to learn long term dependencies …
Priority search simulation for flood evacuation routes using fuzzy AHP approach
TB Chandrawati, AAP Ratna… - Journal of Applied …, 2022 - aseestant.ceon.rs
A flood is an event of an increase in water volume above the standard limit due to increased
rainfall, rising sea levels, storms, and others that result in submerging an area. Floods are …
rainfall, rising sea levels, storms, and others that result in submerging an area. Floods are …
Proposal of a method to analyze children's flood risk exposure and risk perception using GPS tracking data and questionnaire survey
J Sakamoto, S Laudari, M Fujioka, T Hara - Geoenvironmental Disasters, 2024 - Springer
Background Climate change has made the relationship between disaster and sustainable
development more critical. Especially in developing countries, disasters frequently devastate …
development more critical. Especially in developing countries, disasters frequently devastate …