2590 papers
This paper presents the design and experimental evaluation of a bifacial solar-powered EV charging system, demonstrating that optimizing rear-side reflectivity with aluminum foil significantly enhances energy generation by 15–25% and improves charging stability compared to traditional monofacial systems.
This paper proposes a unified continuous-time framework for adaptive smartphone battery prediction that integrates hardware dynamics, temperature effects, and aging models, demonstrating significant error reduction through load calibration and recursive comparison while identifying specific conditions for model deployment and the necessity of complete-discharge validation.
This study validates a meshless collocation framework for analyzing the free vibration of multilayer functionally graded hyperelastic beams through experimental testing and finite element comparison, while also demonstrating the effectiveness of an artificial neural network in accurately predicting the structure's natural frequencies.
This paper presents an integrated framework that shifts seismic risk assessment from focusing on direct physical damage to quantifying system-level societal impacts across interdependent infrastructure, revealing that prioritizing bridge retrofitting to maintain hospital access is often more effective for resilient urban planning than traditional damage-based approaches.
This paper presents a portable, multimodal screening platform that integrates gravimetric–ultrasonic density measurement and smartphone-based colorimetry to preliminarily assess the authenticity of patchouli oil, demonstrating a strong correlation with reference values (R² = 0.9749) while emphasizing its role as a non-standardized screening tool rather than a substitute for laboratory authentication.
This paper presents a computationally efficient design optimization framework for modular robotic arms that utilizes a genetic algorithm-trained neural network surrogate to replace expensive finite-element analyses, successfully achieving a 19.9% mass reduction while satisfying all structural constraints with significantly fewer high-fidelity evaluations.
This study utilizes a novel quasi-dynamic test rig to simulate impeller wake migration in a high-flow-coefficient centrifugal compressor, revealing that while the U-bend significantly reduces circumferential non-uniformity and return channel vanes induce new fluctuations, the total stage loss remains constant regardless of the wake's circumferential position.
This study proposes and validates a hybrid insulated inner-pipe string combining an upper steel section with a lightweight 7075-T6511 aluminum-alloy lower section and advanced vacuum-aerogel insulation, which significantly reduces weight while maintaining high-temperature mechanical reliability and achieving a heating COP of 6.80 in a 4050-m deep geothermal coaxial heat exchanger.
This paper proposes a parallax-aware and multi-armed bandit-empowered beam training scheme for modular XL-MIMO systems that synergistically combines adaptive codebook updates with a greedy exponential Thompson sampling strategy to dynamically compress the action space and optimize beam selection, thereby achieving substantial effective spectral efficiency gains with significantly reduced training overhead in hybrid near- and far-field environments.
This study demonstrates a proof of concept for directly reconstructing the geometric contours of inner-surface-breaking flaws in steel from simulated pulse-echo ultrasonic data using a supervised convolutional regression model, bypassing traditional image reconstruction and interpretation.