598 papers
This study utilizes a three-dimensional numerical model to demonstrate that while wharf reconstruction in the Shunde Waterway has minimal impact on water levels, the arrangement and geometry of piles significantly alter local velocity fields and create sediment-retention zones, offering critical insights for optimizing wharf design and maintenance.
This study demonstrates that incorporating rock mass rheology and long-term strength into theoretical and numerical analyses is essential for accurately predicting the deformation and plastic zone of deep soft rock roadways, as neglecting these factors leads to significant overestimation of rock strength and deviation from actual engineering conditions.
This study demonstrates that integrating Concentrated Solar Power with thermal storage into the Olkaria IV geothermal plant in Kenya effectively mitigates reservoir decline while delivering technically sound and economically viable dispatchable energy, evidenced by a 29.81% IRR and a net present value of over $1.7 billion over a 25-year lifespan.
This paper presents the first fully monolithic, all-CMOS fabricated platform that integrates piezo-optical-mechanical photonic circuits with high-density commercial control electronics on 200mm wafers, enabling scalable, low-power, and high-speed reprogrammable photonic devices for applications ranging from quantum computing to AI.
This study demonstrates that current single-variable kinematic metrics used in football helmet testing poorly predict brain tissue strain, suggesting that incorporating multiple kinematic variables and their directional components would provide a more biologically meaningful assessment of concussive injury risk.
This paper proposes RSGA-SEI, a reliability-guided spectrum generative augmentation framework that synthesizes and weights auxiliary samples based on feature consistency to achieve robust few-shot specific emitter identification in dynamic mobile networks, achieving 87.14% accuracy with a compact inference path.
This study presents a forecast-to-deployment framework that integrates validated LSTM renewable energy forecasts with System Advisor Model simulations to evaluate the techno-economic viability and city-scale potential of rooftop photovoltaic, wind, and hybrid systems in Dhaka, demonstrating that hybrid configurations significantly enhance nighttime energy availability and reduce costs compared to solar-only solutions.
This study demonstrates that an independently developed acrylate copolymer emulsion effectively enhances the unconfined compressive strength of saline soil through particle encapsulation and pore filling, while an improved wavelet neural network model successfully overcomes the limitations of traditional approaches to accurately predict this strength based on curing dosage, age, salt content, and moisture content.
This study employs numerical simulations to investigate the ignition process of a hydrogen micro-mixed diffusion combustion chamber, revealing that mixture inhomogeneity, improper ignition timing, and asymmetric injection exacerbate overpressure risks, while reducing injection ports under symmetric conditions offers an optimal ignition scheme to mitigate these safety hazards.
This paper presents a semi-automated, multiband 3D photogrammetric workflow that integrates visible, ultraviolet, and near-infrared data with PCA and K-means clustering to accurately detect and quantify material changes on complex cultural heritage surfaces, bridging the gap between high-resolution documentation and long-term conservation monitoring.