Mindful application of digitalization for sustainable development: The Digitainability Assessment Framework

S Gupta, J Rhyner - Sustainability, 2022 - mdpi.com
Digitalization is widely recognized as a transformative power for sustainable development.
Careful alignment of progress made by digitalization with the globally acknowledged …

How can socio-hydrology contribute to natural disaster risk reduction?

FM Vanelli, M Kobiyama - Hydrological Sciences Journal, 2021 - Taylor & Francis
Despite scientific progress and international efforts, records of natural disasters and their
losses are increasing. Natural disasters are constituted by the mutual interactions between …

Flood risk map from hydrological and mobility data: A case study in São Paulo (Brazil)

LR Tomás, GG Soares, AAS Jorge… - Transactions in …, 2022 - Wiley Online Library
Cities increasingly face flood risk primarily due to extensive changes of the natural land
cover to built‐up areas with impervious surfaces. In urban areas, flood impacts come mainly …

A pilot study on survivability of networking based on the mobile communication agents

A Akram, R Jiadong, T Rizwan, M Irshad… - … Journal of Network …, 2021 - airitilibrary.com
The word coping is characterized as a work-state or a network's ability to provide essential
services inside deterministic values. The bulk of networks is unbounded, so they ignore a …

Classifying El Niño-Southern Oscillation combining network science and machine learning

MADC Santos, DA Vega-Oliveros, L Zhao… - IEEE Access, 2020 - ieeexplore.ieee.org
Machine learning and complex network theory have emerged as crucial tools to extract
meaningful information from big data, especially those related to complex systems. In this …

Combining machine learning (ML) and participatory rural appraisal (PRA) for disaster risk preparedness (DRP): Evidence from the poorest region of Luzon …

EA Onsay, JF Rabajante - International Journal of Disaster Risk Reduction, 2024 - Elsevier
In the field of social science, disaster risk preparedness (DRP) is considered immeasurable
due to its multidimensional nature, making it infamously difficult to quantify. The current …

[HTML][HTML] Robustness analysis in an inter-cities mobility network: modeling municipal, state and federal initiatives as failures and attacks toward SARS-CoV-2 …

VLS Freitas, GJP Moreira, LBL Santos - PeerJ, 2020 - peerj.com
We present a robustness analysis of an inter-cities mobility complex network, motivated by
the challenge of the COVID-19 pandemic and the seek for proper containment strategies …

From spatio-temporal data to chronological networks: An application to wildfire analysis

DA Vega-Oliveros, M Cotacallapa, LN Ferreira… - Proceedings of the 34th …, 2019 - dl.acm.org
Network theory has established itself as an appropriate tool for complex systems analysis
and pattern recognition. In the context of spatiotemporal data analysis, correlation networks …

Real-world-events data sifting through ultra-small labeled datasets and graph fusion

DA Vega-Oliveros, J Nascimento, B Lavi… - Applied Soft Computing, 2023 - Elsevier
The information on social media is vital, especially for events such as natural disasters or
terrorist attacks, that might cause rapid growth of data sharing through social media …

Vulnerability analysis in Complex Networks under a Flood Risk Reduction point of view

LBL Santos, AAS Jorge, LR Londe… - … Hazards and Earth …, 2019 - nhess.copernicus.org
The measurement and mapping of transportation network vulnerability constitute subjects of
global interest. During a flood, some elements of a transportation network can be reached …