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Showing 20 of 1,630 academic articles

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

Spatial and Temporal Variability of Bed Exchange Characteristics of Fine Sediments From the Weser Estuary

J. Patzke, E. Nehlsen, P. Fröhle, R. F. Hesse • Frontiers in Earth Science (2022)

Sedimentation of fine-grained sediments in estuaries is a natural physical phenomenon influenced by biogeochemical processes. In the estuarine turbidity maximum (ETM), enhanced net deposition of sediments is observed even in areas with high...

DOAJ Open Access (DOAJ) DOI: 10.3389/feart.2022.916056

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

Theoretically Speaking – An Autoethnographic Journey in Crossing Disciplines to Being-Becoming a Practical Scholar

Michaella Cavanagh • African Journal of Inter-Multidisciplinary Studies (2019)

Becoming a PhD scholar requires a change in identity and new ways of thinking. This is difficult for those from practical backgrounds who struggle to merge the theoretical/scholarly with the creative/practical. Moving towards the scholarly ...

DOAJ Open Access (DOAJ) DOI: 10.51415/ajims.v1i1.801

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