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Deep neural network-based prediction of tsunami wave attenuation by mangrove forests

Didit Adytia, Dede Tarwidi, Deni Saepudin, Semeidi Husrin et al. • MethodsX (2024)

The goal of this research is to develop a model employing deep neural networks (DNNs) to predict the effectiveness of mangrove forests in attenuating the impact of tsunami waves. The dataset for the DNN model is obtained by simulating tsuna...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.mex.2024.102791

New spatial records of vascular plants in the Azores Archipelago: the PRIBES project and the Azorean Biodiversity Portal (ABP) initiatives - I. São Jorge Island (Azores)

Andrea Petrone, Paulo Borges, Fernando Pereira, Rui Elias • Biodiversity Data Journal (2026)

The Azores Archipelago is known for its important natural heritage, yet its ecosystems face a “green tsunami” in the form of numerous exotic and invasive species. This influx has wrought serious biodiversity loss and degradation of ecosyste...

DOAJ Open Access (DOAJ) DOI: 10.3897/BDJ.14.e167704

Le risque tsunamique au Maroc : modélisation et évaluation au moyen d'un premier jeu d'indicateurs d'exposition du littoral atlantique

Samira Mellas, Frédéric Leone, Rachid Omira, Monique Gherardi et al. • Physio-Géo (2012)

This paper seeks to estimate the exposure of the Atlantic coast of Morocco to tsunami risk. A methodological approach and a first set of tsunami risk indicators are presented. The proposed approach is based upon a coupling of tsunami numeri...

DOAJ Open Access (DOAJ) DOI: 10.4000/physio-geo.2589

How do Tourists Perceive Risk and Develop Travel Preparedness? Influence of Destination Attributes and Knowledge

Fitri Rahmafitria, Heri Puspito Diyah Setiyorini, Purna Hindayani, Hera Oktadiana et al. • Jurnal Manajemen Hutan Tropika (2025)

This study explores how destination attributes, such as accessibility, natural attractions, facilities, and disaster knowledge, influence tourists' risk perceptions, ultimately shaping their travel preparedness. Data were collected through ...

DOAJ Open Access (DOAJ) DOI: 10.7226/10.7226/jtfm.31.2.171

Disaster Robotics

Robin Roberson Murphy • The MIT Press eBooks (2014)

A comprehensive, authoritative, and accessible reference for disaster robotics that covers theory, specific deployments, and ground, air, and marine modalities. This book offers the definitive guide to the theory and practice of disaster ro...

OPENALEX DOI: https://doi.org/10.7551/mitpress/9407.001.0001

Computational Linguistics and Deep Learning

Christopher D. Manning • Computational Linguistics (2015)

Deep Learning waves have lapped at the shores of computational linguistics for several years now, but 2015 seems like the year when the full force of the tsunami hit the major Natural Language Processing (NLP) conferences. However, some pun...

OPENALEX Open Access DOI: https://doi.org/10.1162/coli_a_00239