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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

A confirmatory analysis of the knowledge, attitudes, and perceptions questionnaire for community-based surveillance of infectious diseases: a cross-sectional study in Malaysia

Ahmed Azeez Hasan, Anis Kausar Ghazali, Najib Majdi Yaacob, Norsa’adah Bachok et al. • Osong Public Health and Research Perspectives (2025)

Objectives This study aimed to validate the psychometric properties of the recently developed knowledge, attitudes, and perceptions questionnaire for community-based surveillance of infectious diseases (KAP-CBS-ID questionnaire), using conf...

DOAJ Open Access (DOAJ) DOI: 10.24171/j.phrp.2025.0106