1593 papers
This paper proposes a conceptual IoT-based framework that integrates real-time sensor monitoring, AI-driven analytics, and digital-twin technology to enable predictive decision-making and yield optimization in Roll-to-Roll manufacturing, serving as a foundational step for future empirical validation.
This study demonstrates that optimizing batch electrocoagulation with aluminum electrodes by minimizing inter-electrode spacing to 0.2 cm and operating for 90 minutes achieves over 96% removal of household wastewater contaminants with pseudo-first-order kinetics, despite resulting in an operating cost of $4.37 per cubic meter.
This paper systematically reviews the theoretical innovations and service architecture of the global BDS-3 system while evaluating its performance metrics during the 25th solar cycle maximum using 2024 iGMAS data and recent literature, ultimately summarizing research hotspots to guide future satellite navigation system development.
This paper proposes a production scheduling optimization model that utilizes SIR propagation dynamics and the NSGA-II algorithm to mitigate the spread of disturbances in flexible manufacturing systems, achieving a 15.28% reduction in average network pressure while balancing efficiency and stability.
This paper proposes an integrated photonic crystal and magnetic bead aggregation technique (PCMAFLUID) that significantly enhances fluorescence signals to achieve a detection limit of 0.0001 pg/ml for mouse IL1β, demonstrating a 1000-fold improvement in sensitivity over conventional glass-based methods.
This paper proposes a technical-debt-based indicator framework that transforms PDF validation failures into a nine-family typology to measure the latent documentary quality of scholarly communication infrastructures, revealing widespread noncompliance and disciplinary variations in archival stability and machine operability.
This paper proposes an adaptive, gradient-based delta-map technique for NDT X-ray imaging that effectively balances noise suppression and edge preservation through pixel-wise weighting, demonstrating superior performance and computational efficiency compared to conventional filters and deep learning approaches.
This study demonstrates that agricultural and industrial waste-derived biomass briquettes serve as a sustainable, high-efficiency alternative to firewood for industrial steam production, achieving significant cost savings and high boiler efficiency through experimental validation, thermodynamic simulation, and XGBoost-based machine learning analysis.
This paper proposes an adaptive virtual synchronous generator (VSG) strategy for grid-following/grid-forming hybrid wind farms that dynamically adjusts virtual inertia and damping parameters while coordinating control deadbands to enhance frequency stability and active power response under disturbances.
This paper proposes a local corner-smoothing method for high-speed five-axis CNC machining that utilizes parameter-synchronized dual quartic Bezier segments to achieve G2 continuity within a defined error envelope, while incorporating a lightweight rotary-axis stabilization strategy to suppress curvature peaks and enhance feedrate stability without explicit Jacobian evaluation.