In this study, we present an edge-based intelligent sensing system for access control that integrates real-time face recognition with an embedded suspicious-behavior detection module. Access cont ... Read More

Ultra-broadband optical absorbers are essential components in modern photonic and sensing systems, where efficient light absorption over a wide spectral range is required to enhance device perfor ... Read More

Bullet screen comments on interactive video platforms are a rich source of real-time emotional signals. However, their anonymity, brevity, and contextual dependence pose significant challenges fo ... Read More

The stable operation of electromechanical equipment is vital for modern infrastructure. However, thermal faults remain a leading cause of unexpected shutdowns. Traditional single‑point monitori ... Read More

The rapid expansion of IoT devices in smart campuses has increased vulnerabilities to Wi-Fi spoofing and signal mimicry attacks. Therefore, a decentralized, lightweight physical-layer anomaly det ... Read More

The evaluation of consumer visual attention often relies on static area-of-interest (AOI) metrics or self-reports, which fail to capture continuous cognitive pathways. To address this limitation, ... Read More

The accurate localization of partial insulation defects in cross-linked polyethylene (XLPE) distribution cables is critical for condition-based maintenance in smart power grids. In this study, we ... Read More

The prenatal diagnosis of placenta accreta spectrum (PAS) is essential to prevent life-threatening maternal hemorrhage. Recent deep learning models using single-modality ultrasound or magnetic re ... Read More

Accurate wind power forecasting is vital for grid stability, but sensor data are frequently compromised by environmental degradation and hardware anomalies. To address this limitation, we develop ... Read More

In complex indoor environments, ultra-wideband multiple-input multiple-output (UWB-MIMO) systems often suffer from limited channel estimation accuracy, which decreases communication capacity and ... Read More

Occupational safety in confined, metal-dense environments such as water treatment plants (WTPs) requires high-precision monitoring to mitigate risks such as falls and toxic gas exposure. In this ... Read More

High-dimensional data acquisition in edge-computing IoT networks faces bottlenecks owing to constrained sampling rates, limited battery capacity, and numerical instabilities caused by signal stif ... Read More

In this paper, we present a comprehensive analysis of intelligent fault diagnosis techniques for parallel Delta machines, with a particular focus on challenges related to data scarcity and distri ... Read More

Conventional trade-potential studies based on gravity models explain bilateral trade mainly through economic scale, population, income differences, and geographic distance, while paying limited a ... Read More

Traditional measurement technologies cannot meet the construction requirements of superhigh-rise complex structures owing to the characteristics and difficulties of superhigh-rise construction pr ... Read More

In this study, we analyze the spatial changes in land surface cover within Beijing’s ecological protection red line using geographic national survey and monitoring data from 2015, 2017, and 201 ... Read More