1710 papers
This study demonstrates that combining the Taguchi method with Random Forest Regression effectively optimizes FDM printing parameters for ABS PA-747H, significantly enhancing tensile and flexural mechanical properties while validating the improvements through statistical analysis and fractographic evidence.
This study experimentally investigates the mutual aerodynamic interference between a laminar wing and three distinct propeller geometries in a wind tunnel, revealing that spanwise variations in wing loading induce lateral shearing in the propeller slipstream and asymmetric thrust distribution, effects that diminish as the advance ratio increases.
Through a systematic review of 46 studies, this paper argues that while dampness mitigation techniques are technically viable, their effective implementation is hindered by significant socio-technical and governance challenges—such as financial constraints, skill gaps, and inadequate site coordination—necessitating a shift from universal technical fixes to tailored strategies supported by systemic policy and management reforms.
This study demonstrates that coupling multi-objective generative AI with engineered fungal micro-capsules significantly enhances the self-healing kinetics and thermal performance of mycelium-based facades in Tokyo, establishing a scalable protocol for adapting this bioreceptive technology to improve high-Andean bioclimatic housing in Peru.
This study proposes a transferable dielectric degradation framework that integrates Nordic cryogenic field data with an extended Debye-equivalent model to enable adaptive insulation fault detection in Peruvian residential microgrids, achieving significantly reduced detection latency and nuisance tripping across diverse high-altitude and tropical environments.
This study quantifies small-scale tropospheric noise in InSAR observations by comparing GNSS and Numerical Weather Prediction (NWP) ZTD data, revealing that residual errors depend primarily on latitude and elevation rather than NWP model resolution, and proposing a functional model to incorporate these sub-grid uncertainties into InSAR error estimates.
This paper presents a field-validated multi-physics digital twin that quantifies V2G-induced insulation thermal aging in residential switchboards under German VDE-AR-N 4100 standards and translates these findings into a concrete regulatory and technical retrofit pathway for safely deploying V2G technology in Peruvian low-voltage networks.
This paper proposes the Aggregated Personnel-readiness Number (APN), a transparent composite index for flight-line maintenance personnel that integrates five key readiness factors into a 0–10 score, and outlines a pre-registered validation protocol to empirically test its efficacy before field deployment.
This paper proposes an integrated framework that combines machine learning and topology optimization with UHPC and FRP-nanocomposite overlays to optimize the seismic retrofit of Peru's vulnerable informal housing, while adapting U.S. and Japanese best practices and standards to the local Peruvian context.
This paper presents a novel autoregressive Long Short-Term Memory (LSTM) model for short-term hourly hydropower prediction on the Péribonka River, demonstrating its effectiveness in capturing discharge patterns while highlighting its potential and limitations compared to traditional Mixed-Integer Linear Programming (MILP) optimization methods.