598 papers
This paper identifies and resolves a program disturb issue in 65 nm ESF3 memory, caused by chemical mechanical polishing (CMP) damage to the control gate cap silicon nitride, by optimizing the word line CMP process to eliminate leakage and improve chip probe performance.
This before–after field study in India demonstrates that chicanes are a highly effective, self-regulating traffic calming measure that significantly reduces vehicle speeds and mitigates rat-running on low-speed roads without causing accidents, offering a superior alternative to traditional vertical deflections for mixed traffic conditions.
This study demonstrates that PhET simulation-based chemistry laboratories effectively reduce cognitive load, enhance conceptual understanding, and improve engineering problem-solving competence among first-year Civil Engineering students by providing interactive visualizations that bridge abstract chemical concepts with real-world applications.
This paper presents a wearable, closed-loop insulin micropump that integrates an electrochemical gas-driven pump with an optical glucose-responsive microneedle sensor to create a miniaturized, smartphone-controlled artificial pancreas capable of autonomously regulating blood glucose levels in diabetic mice with high precision and biocompatibility.
This paper proposes an adaptive design governance framework that integrates resilience, AI accountability, and socio-spatial equity into actionable decision-making protocols for the MENA AEC sector by synthesizing multidisciplinary literature and validating six core principles through expert practice records.
This paper proposes a distributionally robust decision framework that fuses uncertain crowdsourced flood reports with scarce UAV inspections to derive optimal verification strategies, proving a contamination threshold that dictates when to prioritize recalibrating unreliable sources over inspecting road states, thereby significantly reducing stranded passengers and error propagation compared to non-robust baselines.
This study proposes DCEG-Net, a dual-branch CEEMDAN-enhanced graph-temporal neural network that integrates multi-scale decomposition, temporally constrained exogenous feature selection, and graph convolutional recurrent mechanisms to achieve superior accuracy and stability in short-term air quality forecasting for complex industrial regions.
This paper presents a solar-powered IoT system integrating PIR sensors and cameras to detect wildlife intrusions with 93.5% accuracy and under 4-second latency, significantly enhancing rural security and reducing crop loss through real-time mobile alerts.
This paper proposes a bidirectionally coupled PSO-SA hybrid optimization algorithm with adaptive inertia weights and noise-modified acceptance criteria to enable high-precision, efficient online flatness detection of aircraft rudder surfaces, achieving sub-micron system accuracy and significantly outperforming traditional methods in both convergence speed and fitting stability.
Inspired by the energy-efficient navigation of jumping spiders, this paper introduces "Viveka," a biologically inspired aerial navigation system that leverages optical defocus from a large-aperture lens and a monocular event camera to perform passive computation, enabling a quadrotor to navigate complex environments with 85% success and up to 400 times greater computational efficiency than state-of-the-art dense depth estimation methods.