The increasing use of recycled aluminium in industrial applications is requiring greater tolerance to impurity elements, such as iron which tends to form FE-rich intermetallic compounds (Fe-IMCs) during solidification [1,2] ...

This paper presents an FPGA-based real-time implementation of the robust Chinese remainder theorem (RCRT) for signal reconstruction in two-channel modulo analog-to-digital converters (ADCs) systems. A hardware-oriented formulation of the RCRT algorithm is developed, removing modular inversion to enable a&#...

Anomaly detection in human-driven vehicle telemetry is complicated by mixed uncertainty: nominal deviations may arise either from stochastic driver behavior or from genuine departures from learned vehicle dynamics. Conventional forecastingbased detectors typically treat both as predictive error, which can&...

Robotic assembly of large-scale aerospace components demands millimeter-level accuracy under intermittent contacts, while collecting rich interaction data remains costly and risky. This paper presents a demonstration-guided residual reinforcement learning framework for precision assembly. A diffusion-based action-chunkin...

Sexual violence (SV) is more likely to be disclosed to friends, family members and partner(s) (ONS, 2021), though less is known regarding these informal disclosure experiences compared to formal disclosures (for example, to the police). This victim-survivor-led study explored the ways in...

The global drive towards electrification and carbon reduction has created an urgent requirement for compact, high-performance thermal management systems capable of dissipating high heat fluxes while maintaining component reliability. Flow boiling in microchannels has emerged as a promising solu...

Model compression is widely used to deploy large neural networks on resource-constrained edge devices. Among existing techniques, low-rank composition is theoretically grounded in approximation theory and provides a strong basis for preserving model performance after compression. However, in practice, ...

Coupled with vision-based inspection techniques, unmanned aerial vehicles (UAVs) have been extensively applied to power transmission line inspection. UAV images typically cover a wide field of view, they often contain complex backgrounds in power transmission line inspection, which make the accur...

Unsupervised anomaly detection is a promising approach for vehicle health monitoring, but its deployment in human-driven telemetry is often limited by nominal false positives. A key difficulty is that many telemetry channels are influenced not only by vehicle dynamics, but also by parti...