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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

Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions

R. Vijay Anand, G. Magesh, I. Alagiri, Madala Guru Brahmam et al. • Scientific Reports (2025)

Abstract With the advancement of this digital era and the emergence of DApps and Blockchain, secure, robust and transparent network transaction has become invaluable today. These traditional methods of securing the transactions and maintain...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-83564-4

Generation Scotland: Linking all the records we can

Archie Campbell, Robin Flaig, Cathie Sudlow • International Journal of Population Data Science (2023)

Objectives We started a family-based genetic epidemiology study in 2006-11 which recruited ~24,000 adult volunteers from ~7000 families across Scotland with consent for follow-up through medical record linkage and re-contact. In 2022-23 we ...

DOAJ Open Access (DOAJ) DOI: 10.23889/ijpds.v8i2.2347