1712 papers
This paper presents two compact, wideband (4–9 GHz) single-layer microstrip 180° hybrid couplers utilizing a novel topology that combines Wilkinson-based and five-port power dividers with phase-shifting networks to achieve excellent broadband performance, high isolation, and low amplitude and phase imbalances.
This study demonstrates that Gaussian Process Regression is a superior predictive model for optimizing the mechanical performance of sustainable ternary concrete blends using ground granulated blast furnace slag and limestone powder, identifying a 30% GGBFS and 15% LSP mix as the optimal balance of strength properties while reducing carbon emissions.
This study presents a physics-integrated machine learning framework that successfully predicts the lateral load capacity of single-row bolted steel-to-timber connections in Malaysian tropical hardwoods (Balau and Bitis) by training models to correct discrepancies between experimental results and existing design codes, thereby offering a reliable pathway for extending timber design standards to tropical species.
This study demonstrates that replacing up to 40% of natural fine aggregate with bottom ash in alkali-activated slag concrete yields a sustainable material with optimal workability and compressive strength at a 0.45 activator-to-binder ratio, while maintaining structural integrity and exceptional resistance to acid and sulfate attacks.
This paper demonstrates that liftered cepstral descriptors, which remove low-quefrency additive perturbations in the log-spectrum to mitigate FIR convolutional distortions, significantly outperform standard spectral profiles in robustness for bearing-fault classification while maintaining clean accuracy, a finding validated through controlled experiments on CWRU and DroneRF datasets.
This study presents and validates a low-cost, ESP32-based embedded system that utilizes a novel mathematical model to predict cognitive performance and occupational stress levels in real-time based on indoor air quality parameters, demonstrating high accuracy and practical utility for preventive occupational health management.
This paper proposes and validates a verifiable engineering framework that integrates 5D/6D BIM with IoT telemetry to automate and significantly reduce errors in the real-time financial settlement of civil construction projects in Peru, transforming a traditionally manual and dispute-prone process into a deterministic, auditable system.
This study compares the digital-twin-driven cost-scenario simulation frameworks of the Netherlands and Germany to propose a hybrid, context-sensitive adaptation pathway for reducing budget overruns in Peru's civil infrastructure sector by integrating open BIM standards with life-cycle costing under existing regulatory mandates.
This paper presents an adapted 3D Gaussian Splatting framework that enables rapid, high-quality 3D reconstruction of phase-dominant volumes from sparse-view X-ray projections by integrating absorption and phase-shift primitives with differentiable Fresnel propagation.
This study proposes and validates adaptive control strategies, including a multi-estimation scheme with supervisory selection, to effectively regulate milling forces and enhance machining precision while maintaining stability across varying process conditions.