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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

Objective Assessment of Maritime VHF Communication Competence Using a Real-Time Simulation Framework

Xuan Long Nguyen, Van Cuong Do, Manh Cuong Nguyen • TransNav (2026)

VHF radiotelephony remains a fundamental component of maritime safety and is mandated by the STCW Convention as an essential operational competency for seaferer. However, existing studies largely focus on basic button-level interaction and ...

DOAJ Open Access (DOAJ) DOI: 10.12716/1001.20.02.22

Application of Artificial Neural Networks for Corrosion Behavior of Ni–Zn Electrophosphate Coating on Galvanized Steel and Gene Expression Programming Models

Malihe Zeraati, Hossein Abbasi, Parvin Ghaffarzadeh, Narendra Pal Singh Chauhan et al. • Frontiers in Materials (2022)

Zn–Ni electrophosphate coating is one of the most commonly used materials in industrial applications. The corrosion resistance of this coating is very important in order to achieve the minimum corrosion current of the Zn–Ni electrophosphate...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmats.2022.823155

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron

Milad Mozafari, Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini et al. • Frontiers in Neuroscience (2019)

Application of deep convolutional spiking neural networks (SNNs) to artificial intelligence (AI) tasks has recently gained a lot of interest since SNNs are hardware-friendly and energy-efficient. Unlike the non-spiking counterparts, most of...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnins.2019.00625