3D-printed ultra-high-performance concrete (3DP-UHPC), which combines high strength, high toughness, and construction flexibility, provides a solution to the reinforcement difficulty of conventional printed concrete. However, the layer-by-layer printing process induces pronounced anisotropy in compr...

The operational reliability of aeroengines is vital to civil aviation safety; however, bearings and other key components are prone to failure under harsh operating conditions. In real-world monitoring data, severe class imbalance often leads conventional fault diagnosis methods to be biased toward m...

Defocus blur detection is essential for computational photography applications, but existing methods struggle with accurate blur localization and boundary preservation. We propose SemanticBlur, a deep learning framework which integrates semantic understanding with attention mechanisms for robust def...

Graph Neural Networks (GNNs) have become increasingly prominent in Natural Language Processing (NLP) due to their ability to model intricate relationships and contextual connections between texts. Unlike traditional NLP methods, which typically process text linearly, GNNs utilize graph structures to...

In this study, titanium dioxide nanoparticles (TiO$_2$-NPs) were synthesized via a green, cost-effective method using Azadirachta indica leaf extract as a natural capping and reducing agent. Characterization techniques including UV-vis, FTIR, XRD, SEM, EDX, and PL spectroscopy confirmed successful s...

Traditional teach-and-repeat robotic arms, which rely on pre-programmed trajectories and manual teaching, struggle to adapt to operational requirements in unstructured environments where the position, posture, or type of target objects may vary unpredictably. In contrast, robot control technology ba...

In the field of high-end precision manufacturing, quality control in production processes has long been challenged by both spatiotemporal data sparsity and error lag. Traditional offline sampling methods struggle to capture the dynamic fluctuations in production, while single-dimensional feedback co...

Global warming and climate change challenge us to implement sustainable energy systems. Urcuqui, located in the Imbabura province in the North of Ecuador, is one of the cities with the most promising renewable energy resources. Therefore, analyzing the energy potential of Urcuqui at the micro and ma...

Salient object detection in RGB-D imagery remains challenging due to inconsistent depth quality and suboptimal cross-modal fusion strategies. This paper presents a novel dual-stream architecture that integrates contextual feature refinement with adaptive attention mechanisms for robust RGB-D salienc...

Fire incidents cause devastating environmental damage and human casualties, necessitating robust automated detection systems. Existing fire recognition methods struggle with visual ambiguities, illumination variations, and computational constraints, while current attention mechanisms lack hierarchic...