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Modular multi-fidelity simulation framework for advanced sail-driven spacecraft control and dynamics in perturbation-rich regimes

Celia Redondo-Verdú, Álvaro Belmonte-Baeza, José L. Ramón, Cristina Cachero et al. • Results in Engineering (2026)

This work presents a high-fidelity Software-in-the-Loop (SIL) simulation framework for the development and validation of control strategies for sail-driven spacecraft operating in Low Earth Orbit (LEO). The framework integrates NVIDIA Omniv...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rineng.2026.113314

A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming

Shah Nazir, Sulaiman Khan, Habib Ullah Khan, Shaukat Ali et al. • IEEE Access (2020)

Healthcare systems are transformed digitally with the help of medical technology, information systems, electronic medical records, wearable and smart devices, and handheld devices. The advancement in the medical big data, along with the ava...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.2995572

An Intelligent Fuzzy System for Diabetes Disease Detection using Harris Hawks Optimization

Zahra Asghari Varzaneh, Soodeh Hosseini • Journal of Artificial Intelligence and Data Mining (2023)

This paper proposed a fuzzy expert system for diagnosing diabetes. In the proposed method, at first, the fuzzy rules are generated based on the Pima Indians Diabetes Database (PIDD) and then the fuzzy membership functions are tuned using th...

DOAJ Open Access (DOAJ) DOI: 10.22044/jadm.2023.12383.2383

Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images

Esraa Hassan, Samir Elmougy, Mai R. Ibraheem, M. Shamim Hossain et al. • Sensors (2023)

Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the condition of the back part of the eye. The condition has a great effect on the specificity of diagnosis, the monitoring of many physiological and pathol...

DOAJ Open Access (DOAJ) DOI: 10.3390/s23125393

Editorial

Bulent Cavas • Science Education International (2026)

Dear Readers, The September 2026 issue of Science Education International presents 11 original research articles authored by scholars from 11 countries, including Germany, Slovenia and Italy, Finland and South Africa, Brazil, Chile and Arge...

DOAJ Open Access (DOAJ) DOI: 10.33828/sei.v37.i4.e

Human Intelligence (HI –<i>Nous</i>) and Artificial Intelligence (AI) in ESP/EAP Teaching and Editing of Inter-Disciplinary Research for International Communication – Case Studies and Methods

Ekaterini Nikolarea • Journal of Systemics, Cybernetics and Informatics (2021)

In this study the author will present how Human Intelligence (HI – nous), in co-operation with Artificial Intelligence (AI) – Internet can communicate his/her knowledge and interdisciplinary research to an international context (i.e., Erasm...

DOAJ Open Access (DOAJ)

Clinical Impact of Patient-Specific 3D Models in Neonatal Surgery: A Case-Based Review of Applications and Future Directions

Oscar Girón-Vallejo, Bernardo Garcia-Nuñez, Isidoro Narbona-Arias, Alexander Siles-Hinojosa et al. • Children (2025)

Three-dimensional (3D) modeling and printing technologies are increasingly used in pediatric surgery, offering improved anatomical visualization, surgical planning, and personalized approaches to complex conditions. Compared to standard ima...

DOAJ Open Access (DOAJ) DOI: 10.3390/children12091202

Modeling a High Concentrator Photovoltaic Module Using Fuzzy Rule-Based Systems

Manuel Angel Gadeo-Martos, Antonio Jesús Yuste-Delgado, Florencia Almonacid Cruz, Jose-Angel Fernandez-Prieto et al. • Energies (2019)

Currently, there is growing interest in the modeling of high concentrator photovoltaic modules, due to the importance of achieving an accurate model, to improve the knowledge and understanding of this technology and to promote its expansion...

DOAJ Open Access (DOAJ) DOI: 10.3390/en12030567

Artificial intelligence and clean/dirty energy markets: tail-based pairwise connectedness and portfolio implications

Bechir Raggad, Elie Bouri • Future Business Journal (2025)

Abstract This study investigates the return and volatility connectedness between artificial intelligence (AI) stock ETF and each segment of the energy markets, namely clean energy, dirty energy, and WTI oil. Using a quantile-on-quantile con...

DOAJ Open Access (DOAJ) DOI: 10.1186/s43093-025-00451-8