2594 papers
This paper proposes a data-driven, moving-window Bayesian inference framework that couples a CO2-temperature network model with sparse sensing to jointly estimate time-varying thermal parameters, airflow, and occupancy, thereby enabling accurate transient multi-zone temperature prediction and uncertainty quantification in buildings.
This paper proposes a Structure-Frequency Guided Diffusion (SFGD) model that integrates a Structure-Cross Guidance Module and Time-Adaptive Frequency Modulation to effectively denoise γ-photon flow-field images, significantly outperforming baseline diffusion models in preserving structural details and restoring image quality.
This paper presents a novel focused ultrasonic vibration abrasive jet polishing system, detailing its theoretical analysis, structural optimization, and experimental validation to demonstrate its effectiveness in advancing abrasive jet polishing technology.
This paper proposes an adaptive SDN-assisted traffic signal control framework integrated with VANETs that utilizes real-time traffic data to dynamically prioritize congested roads, thereby significantly reducing delays, fuel consumption, and queue lengths while improving network performance metrics compared to conventional methods.
This study validates a sector-conditioned sparse wind-direction sensing topology across complex Perdigao terrain, demonstrating statistically significant improvements in estimation accuracy and yaw control performance over existing baselines while confirming resilience to sensor failures and specific atmospheric conditions.
This paper reviews traditional and deep learning-based seismic denoising methods, highlighting their limitations in generalization, and introduces SeisDeFM, a novel foundation model that leverages pre-training on diverse noise conditions to achieve superior denoising performance and cross-noise adaptability in pre-stack seismic data.
This paper proposes a three-layer hierarchical framework that generates provably feasible, energy-bounded dynamic operating envelopes for residential distributed energy resources, enabling 100% DER penetration in unbalanced low-voltage networks while significantly reducing peak loading and losses without compromising household comfort or financial outcomes.
This study demonstrates that low-carbon pulverized-coal gasification slag is a feasible and economically superior alternative to limestone filler in asphalt mastic, offering comparable rheological performance while reducing material costs by approximately 56.3%.
This paper reports the wafer-scale synthesis of high-quality, low-temperature liquid metal printed SnO films to construct highly uniform and yield-efficient memtransistor arrays that successfully emulate synaptic plasticity and perform robust image processing and restoration tasks in hardware-based neural networks.
This paper, titled "Harnessing Digital Twin Technology for Intelligent Maintenance and Design of PMSM," was withdrawn by Research Square on October 22, 2026, due to concerns regarding the authorship information provided at submission.