632 papers
This study proposes a green wave coordinated signal optimization method based on a localized VISSIM-MOVES simulation platform and a multi-parameter collaborative model to simultaneously minimize carbon emissions and improve arterial traffic efficiency, demonstrating significant reductions in vehicle delay, stops, and total emissions.
This paper presents a DICOM RT-Plan-guided super-resolution framework that leverages a UNet++ model augmented with geometric aperture moments to reconstruct high-resolution 1 mm³ dose distributions from coarse 1 cm³ phantom measurements, thereby enabling accurate radiotherapy verification without requiring denser hardware or computationally expensive simulations.
This paper demonstrates a scalable hybrid quantum control architecture that integrates cryogenic CMOS ASICs for two-qubit flux control with room-temperature electronics for single-qubit operations, achieving high-fidelity gate performance on a 156-qubit processor while significantly reducing system footprint and overcoming wiring constraints for large-scale superconducting quantum computing.
This study proposes a novel hybrid framework combining Finite Element Modeling (FEM) and Artificial Intelligence, specifically utilizing a Particle Swarm Optimization-tuned Gradient Boosting Regressor and Evolutionary Polynomial Regression, to accurately predict the lateral displacement of single and grouped piles under quasi-static loads, thereby overcoming the limitations of traditional methods in capturing complex non-linear soil-structure interactions.
This paper proposes a novel "structure–function–equity" evaluation framework combining topological and functional indicators with machine learning to classify Guangzhou's bus routes, identifying significant inefficiencies and using a bi-objective optimization model to generate targeted strategies for reducing redundancy, enhancing metro integration, and improving rural equity.
This study employs a coupled QUAKE/W–SLOPE/W analysis to demonstrate that the Tarbela Reservoir's sediment delta is most vulnerable to localized seismic instability at the foreset toe and bottomset contact rather than generalized liquefaction, identifying a critical hazard pathway that supports targeted mitigation strategies like underwater dikes and dredging.
This paper introduces LightAMCNet, an ultra-lightweight one-dimensional convolutional neural network with only 68.9k parameters that achieves superior accuracy-efficiency trade-offs for real-time automatic modulation recognition on resource-constrained edge devices by utilizing a purely temporal convolutional backbone while avoiding complex architectural components.
This paper proposes a residual diffusion framework for sparse-view CT reconstruction that enhances sampling efficiency and image quality by initializing the reverse process from structurally informative FBP estimates, incorporating high-frequency conditioning for structural guidance, and employing an adaptive data consistency mechanism to analytically optimize relaxation parameters.
This study demonstrates that the synergistic application of oscillating laser welding and solution treatment effectively regulates the microstructure of 2507 super duplex stainless steel joints by refining grains and optimizing the ferrite-austenite balance, thereby significantly enhancing their tensile strength, ductility, low-temperature toughness, and corrosion resistance.
This paper presents a machine learning framework and a free web-based tool that successfully addresses both the forward prediction of micro-channel topographies and the inverse determination of optimal operating conditions in abrasive slurry jet machining, thereby overcoming longstanding challenges in process control and predictability for hard and brittle materials.