1592 papers
This study presents a two-stage machine learning cascade framework that correlates real-time CMT-WAAM process parameters with industrial CT-derived porosity data to predict and monitor internal defects in aluminum components, achieving an F1 score of 0.47 while offering a scalable solution for in-situ quality assurance.
This paper presents the design and optimization of a corner square-truncated rectangular slotted microstrip patch antenna for biomedical wearable applications, demonstrating its effectiveness through miniaturization techniques, a 6 dB directivity, 80 MHz bandwidth, and low Specific Absorption Ratio (SAR) values that ensure biocompatibility.
This paper proposes a classification-based adaptive Bayesian wavelet packet transform (CABWPT) method that utilizes noise classification, SNR-adaptive hybrid thresholding, and Bayesian optimization to effectively denoise industrial sensor and measurement signals corrupted by non-stationary additive Gaussian-impulse mixed noise.
This study presents a novel 3D discrete element method framework with a cubic packing scheme that treats unit cells as continuous elements to effectively model transverse fracture in unidirectional CFRP composites, revealing that while fiber distribution minimally affects global mechanical response, fiber volume fraction and radius critically govern stiffness, strength, and damage localization.
This study demonstrates that interlocking paving stones produced using greywater treated with natural coagulants, particularly Carica papaya and Moringa oleifera, exhibit enhanced compressive strength and reduced water absorption compared to those made with potable water, offering a sustainable solution for urban construction that supports water conservation and SDGs 6 and 11.
This study presents and validates a fully embedded, wearable foot-sensor system that enables low-latency, real-time gait analysis for continuous, long-term monitoring of Parkinson's disease patients in daily life, achieving high accuracy in stride segmentation and temporal parameter estimation without relying on offline processing.
The paper introduces Defect2Tree, a framework that converts complex 3D void morphologies in carbon-fibre-reinforced polymers into topology-preserving skeleton-tree representations to accurately predict crack-growth directions and assess structural integrity, overcoming the limitations of conventional defect idealizations.
This paper presents the design and simulation of a low-cost, semi-autonomous electric vehicle controller using an Arduino Uno that integrates MOSFET-based H-Bridge motor control, PWM speed regulation, and real-time battery monitoring to ensure efficient, bidirectional operation while protecting the power source from deep discharge.
This report presents a low-cost, multimodal lower-limb motion capture system designed for teleoperation data acquisition and browser-based visualization, which was successfully validated through hardware-in-the-loop trials despite identified limitations in ankle fixture rigidity and the exclusion of quantitative accuracy assessments.
This study presents a compact, ultra-wideband reflective linear-to-circular polarization converter utilizing an anisotropic gold grating embedded in TOPAS material, which achieves a 116.13% fractional axial-ratio bandwidth and robust performance under oblique incidence for advanced Terahertz communication and defense applications.