With the rise of data engineering-driven automatic annotation strategies, deep learning has demonstrated remarkable performance and strong competitiveness in intelligent fault diagnosis. However, the inherent limitations of automatic annotators inevitably introduce noisy labels, which in turn hinder...

Considering the large-area distribution, smooth brightness gradients, and blurred boundaries of Mura defects in real industrial scenarios, as well as the challenge of balancing accuracy and efficiency in existing methods, we propose a lightweight deep learning-based detection method for large-area M...

In shale reservoirs, fracturing fluid can be easily absorbed into the pore space due to the strong capillary force of shale. These invading fluids can impact the rock mechanical properties and creep behavior characteristics of shale under water-rock interaction. This paper discussed the influence of...

This research pioneers the application of a diverse set of advanced machine learning and optimization methods, to predict the erodibility of lateritic soil treated with cement and nanostructured quarry fines, providing a groundbreaking, data-driven approach that enhances traditional erosion analysis...

In the context of the accelerated global aging process and the increasingly diverse health care demands, the shortage of skilled elderly care and nursing professionals has emerged as a key constraint impeding the development of this sector. This article offers a systematic review of both domestic an...

Low Dose Computed Tomography (LDCT) scan is modern medical imaging diagnostic technique that provides a detailed projection of internal human body tissue level structures. Even though the LDCT image quality is compromised by Gaussian-noise, which can be generated during image acquisition, this compr...

Pilgrimage tourism in India is a cultural and deeply spiritual journey, especially for elderly individuals who view it as a cherished life milestone. However, their mobility and accessibility needs are often under-addressed in policy and planning. This study examines inclusive mobility challenges fa...

Artificial intelligence (AI) is reshaping engineering education by offering adaptive, interactive, and data-driven learning environments. This paper examines the primary roles of AI in enhancing control engineering education (CEE), with emphasis on sensing-oriented applications such as sensor-based...

The Autism Spectrum Disorder (ASD) diagnosis and detection in its initial stages is a more complex issue in the face of the wide-ranging, diverse nature and causes. Subsequent literature inclined towards a possible correlation of gut microbiome with ASD, and its disclosure presents a more promising...

This study conducts a bibliometric and scientometric analysis of global research trends in medical ethics education from 2000 to 2025. Drawing on 443 English-language articles retrieved from the Scopus database, the analysis employs VOSviewer to map knowledge structures, identify thematic clusters,...