Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
T-CoLoc: Leveraging Tethers for Reliable Co-Localization within an Underwater ROV Chain
International audience
Autonomous Systems for Industrial and Marine Infrastructure Inspection and Protection
This Thesis focuses on the strategic engineering and application of AI-driven modeling and simulation of autonomous systems for the inspection and protection of critical marine and industrial infrastructures. The study includes multiple autonomous...
Improving rare-class detection in deep-sea imagery via generative augmentation with stable diffusion
Megabenthos play a critical role in maintaining deep-sea ecosystem stability, making accurate detection important for deep-sea conservation. However, the high cost of deep-sea exploration and the long-tailed distribution of available datasets lead...
Characterizing the Unique Chemical Imprint of On‐Axis, Lower‐Temperature Hydrothermal Flow to the Deep Ocean (Southern East Pacific Rise, 16.5°–18.0°S)
Abstract In addition to high‐temperature vents, lower‐temperature flow (LTF) (
Detection and Tracking of Mesh Intersection Points for Autonomous Net Cleaning Robots
Net cleaning robots have been playing an increasingly important role in offshore aquaculture due to their efficiency and labor-saving capabilities. However, in practice, these robots are still entirely teleoperated and require constant, skilled hu...
Green and Sustainable Chemistry for a Circular Economy
The integration of Green Chemistry is foundational for the entire scientific domain, extending its reach from universal atomic interactions to diverse disciplines such as physics, biology, pharmaceuticals, medicine, and engineering. This unifying ...
Dynamic Resilience Assessment of Combat System of Systems: A Dual-Dimensional Framework Integrating Mission and Inherent Capabilities
In dynamic confrontation scenarios, units within a combat system of systems (CSoS) alternate between mission-active and standby states. Standby units act as reserves and affect resilience continuity. Existing work mostly assesses capability via ac...
Synergistic Guaranteed Cost and Integral Sliding Mode Fault-Tolerant Control for Steer-by-Wire Systems Subject to Multiple Uncertainties
The actuator reliability of Steer-by-Wire (SBW) systems is critical to the functional safety of autonomous vehicles. However, existing control methods struggle to simultaneously enhance both response speed and fault-tolerant performance when facin...
Magnetic Microrobots: A Novel Approach for Drug Delivery
Magnetic microrobots are perfect for biological detection and targeted delivery because of their small size, variety of functional structures, and precision control features. The two primary categories of microrobots are bioinspired and biohybrid ...
SPRAY CHARACTERIZATION, CRITICAL HEAT FLUX AND FLOW BOILING PHYSICS OF CRYOGENS UNDER TERRESTRIAL AND MICROGRAVITY CONDITIONS
With the growing interest in space exploration, cryogenic technologies involving two-phase flow and heat transfer are in high demand to successfully procure advanced space applications such as fuel depots and nuclear thermal propulsion (NTP) syste...
Advances in High-Performance Ceramic Materials for Aerospace and Defence Applications: A State-of-the-Art Review
Ceramic materials are indispensable to aerospace and defence technologies, where structural and functional components are required to withstand extreme thermal, mechanical, and chemically aggressive environments. Traditionally valued for their exc...
SPRAY CHARACTERIZATION, CRITICAL HEAT FLUX AND FLOW BOILING PHYSICS OF CRYOGENS UNDER TERRESTRIAL AND MICROGRAVITY CONDITIONS
With the growing interest in space exploration, cryogenic technologies involving two-phase flow and heat transfer are in high demand to successfully procure advanced space applications such as fuel depots and nuclear thermal propulsion (NTP) syste...
Topology modeling and energy efficiency prediction of parallel chillers based on deep learning
To address the insufficient energy efficiency prediction accuracy caused by topological coupling in the parallel operation of multiple chillers, this study proposes a physics-guided spatiotemporal fusion model combining Long Short-Term Memory (LST...
Data sets
Ionic liquid ion sources (ILIS) are compact ion beam sources with applications in nanofabrication and spacecraft propulsion. Their operation is characterized by a sharp onset voltage and a hysteresis upon voltage reduction. Despite two decades of ...
The Challenge of Digital Innovation for Sustainable Healthcare Infrastructures: Current Practices in the Italian Context
Within the hospital sector, digitalization brings smarter, more resilient and more sustainable systems. Advancements in remote sensing technologies and building information modeling (BIM) are revolutionizing infrastructure design and construction....
Data sets
Ionic liquid ion sources (ILIS) are compact ion beam sources with applications in nanofabrication and spacecraft propulsion. Their operation is characterized by a sharp onset voltage and a hysteresis upon voltage reduction. Despite two decades of ...
ResAlignNet: A data-driven approach for INS/DVL alignment
• A data-driven approach specifically optimized with residual connections for deep and stable INS/DVL alignment. • The method achieves effective alignment using only INS and DVL sensors. It requires no external sensors (like GNSS) or complex, spec...
Enhanced Trajectory Tracking Accuracy of a Mobile Manipulator via MRE Intelligent Isolation System Under Continuous Impact Disturbances
Continuous impact vibrations caused by uneven road surfaces (such as speed bumps) can significantly reduce the trajectory tracking accuracy of mobile manipulator. This study proposes for the first time an integrated framework combining a semi-acti...
Leveraging artificial intelligence (AI) techniques for sustainable marine resources
The ocean is essential for sustaining global biodiversity, regulating climate, and supporting economic livelihoods. However, escalating pressures such as overfishing, pollution, and climate change threaten marine ecosystems worldwide. Addressing t...
Fine-Grained Bioacoustics Species Recognition via Multi-Feature Synergy and Ensemble Decision Optimization
Bioacoustics monitoring is vital for wildlife conservation, as over 60% of species rely on acoustic signals, yet manual surveys capture less than 40% of vocal activity. With endangered populations declining by 1–2% annually, the limitations of man...
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