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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

Convolutional Neural Network Based Approval Prediction of Enhancement Reports

Jun Cheng, Mazhar Sadiq, Olga A. Kalugina, Sadeem Ahmad Nafees et al. • IEEE Access (2021)

For a given software enhancement report, identifying its possible approval status could help software developers by suggesting feature enhancements to compete in the software industry. An automatic solution for the approval prediction of en...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2021.3108624

The role of MgBr2 to enhance the ionic conductivity of PVA/PEDOT:PSS polymer composite

Eslam M. Sheha, Mona M. Nasr, Mabrouk K. El-Mansy • Journal of Advanced Research (2015)

A solid polymer electrolyte system based on poly(vinyl alcohol) (PVA) and poly(3,4-Etylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) complexed with magnesium bromide (MgBr2) salt was prepared using solution cast technique. The ionic...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jare.2014.01.010

Application of Electric Field to Developing Falling Films using Wire-Plate Electrode Configuration- An Experimental Study

R. Rouhollahi, S. Baheri Islami, R. Gharraei, M. R. Heirani Nobari • Journal of Applied Fluid Mechanics (2018)

Experimental investigation of Electrohydrodynamic developing falling film flow of transformer oil has been conducted within an inclined rectangular channel and hydrodynamic characteristics of the flow have been revealed. The electric field ...

DOAJ Open Access (DOAJ)

From ideation to execution: Unleashing the power of generative AI in modern digital marketing and customer engagement- A systematic literature review and case study

Sayeed Salih, Omayma Husain, Refan Mohamed Almohamedh, Hayfaa tajelsier et al. • Array (2026)

Generative Artificial Intelligence (GAI) is revolutionizing digital marketing by auto-content creation, personalized customer experience, and data-driven decisions. This study conducts a systematic literature review and case study analysis ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.array.2025.100630