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#federated learning Open access Sep 2026

Adaptive uncertainty-aware hybrid digital twin architecture for predictive diagnostics of ship power plants

Reliable prediction of the technical condition and remaining useful life of ship power plants (SPPs) remains a challenging task because operating conditions continuously change, degradation mechanisms are highly nonlinear, and sensor measurements are inevitably affected by uncertainty. Although hybrid digital twins (HD...

V. Vychuzhanin, A. Vychuzhanin · 0 citations
Conference Open access Aug 2026

Preface

The 6th International Conference on Advanced Materials and Mechatronics (ICAMM 2026) convened in Dalian, China, from May 15 to 17, 2026, at a time when materials innovation and intelligent mechanical systems are increasingly converging into a unified research frontier. Rather than treating materials science and mechatr...

Unknown authors · 0 citations
2026

A New Unified Methodology for Physics and Data Hybrid Modeling—Showcase in Maritime

Hybrid modeling, which integrates physics-based knowledge with data-driven learning, has emerged as a promising paradigm for complex industrial cyber-physical systems where neither approach alone is sufficient. However, most existing works focus on exploring new hybrid algorithms for specific tasks, while limited atten...

Tong-Tong Wang, Qin Liang, Jin-Hua She et al. · 0 citations
Conference Aug 2026

Visualization and interaction design methods for digital twin systems in smart manufacturing

In the actual thermal management tasks of battery production lines, experimental validation shows that compared to traditional digital twin configurations, the 5D method improves prediction accuracy, shortens anomaly detection intervals, and enhances operational usability.

Wei-Juan Leng · 0 citations
Aug 2026

A co-design framework for architecting distributed space telescopes and satellite systems

Co-designing architectures for distributed satellite systems (DSS) is becoming a central challenge as future space missions increasingly rely on constellations, formations, swarms, and fractionated spacecraft to achieve their mission objectives. This paper proposes a generalized “Mission-Topology-System” (MTS) co-desig...

Alireza Vafa, Alireza BasohbatNovinzadeh · 0 citations
Review Open access Sep 2026

Digital Twin–Driven Design of Functionally Graded Additive Manufactured Structures for Deep Space Missions: A Review and Framework Perspective

Deep space and cislunar missions, including those associated with Artemis II mission, expose spacecraft structures to sustained thermal gradients and radiation environments that differ significantly from low Earth orbit conditions. Addressing these challenges requires material and design strategies capable of managing...

Aswin Karkadakattil · 0 citations

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