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The purpose of the study is to develop recommendations for the engineering of the process of implementing strategic management at enterprises of the real economy based on empirical experience and analysis of scientific a...

With the rapid evolution of virtual reality technologies such as digital twins, industrial Internet of Things, edge intelligence, and metaverse, virtual‒reality integration has become a core driving force for the const...

The objective of this research is to explore pathways for the creation of Smart Villages in the Mediterranean context, with a focus on the Madonie Park—an extensive area comprising 21 municipalities within a UNESCO Glo...

Platform engineering has become the dominant approach to managing developer infrastructure at scale, with industry surveys indicating that 94% of organizations have adopted or plan to adopt dedicated platform teams. Desp...

The constant demands that technology creates in aerospace engineering also influence education. The identification of the technologies with practical application in aerospace engineering is of current interest to decisio...

In this study, a novel Quantum Self-Attention Neural Network for Multi-Model Aerial Image Classification (QSANN-MAIC) is proposed. The objective of this paper is to develop a high-performance learning framework capable o...

Abstract This study investigates the influence of graphene nanoparticle (GNP) reinforcement on the fatigue behavior of textile structural composites with unidirectional (UD), two-dimensional (2D) satin, and three-dimensi...

Dynamic gesture recognition is a core technology for human–computer interaction, yet existing methods face prominent limitations in hand spatial topology modeling, long–short-term temporal feature fusion, and general...

This study presents a structured, integrated methodology that combines Lean Six Sigma and TRIZ to support the transition of a wave energy converter from a laboratory proof-of-concept to an industrializable system. It add...

In the Malaysian concurrent tyre retailing industry, most of the business activities are carried out in the traditional labour-intensive ways. This manual process is prone to inefficiencies, increases operating costs and...

The provision of accurate and explainable captions and answers to visual questions about remote sensing images is essential in areas such as disaster management, land-use supervision, and military analysis, where system ...

Time series analysis is essential for finance, transportation, energy, healthcare, and climate research. While time-frequency domain representation underpins effective time series modeling, its holistic utilization and i...

Benign–malignant classification of pulmonary nodules from chest computed tomography (CT) is essential for early lung cancer screening and for reducing unnecessary biopsies and follow-up examinations, yet it remains cha...

This article explores the idea of living in outdoor environmental design. It works to highlight the necessity of creating outdoor spaces that will simultaneously create positive physical and mental health effects while o...

Sixth-generation (6G) mobile networks are expected to be AI-native by design, with intelligence embedded directly into the Radio Access Network (RAN) control loop through architectures such as O-RAN, near-real-time RAN I...

The next-generation network technology is an intelligent information technology with the characteristics of collaborative perception, ubiquitous communication, and computer assistance. It is highly related to the industr...

Abstract Microfluidic platforms have emerged as powerful tools for efficient intracellular delivery of exogenous cargo. While droplet microfluidics coupled with cell mechanoporation shows significant potential, its broad...

Abstract A LiDAR architecture for autonomous cars is presented and validated by numerical and experimental results. The proposed scheme is based on indirect time-of-flight principle based on continuous-wave pseudorandom ...

Abstract Early and reliable smoke detection is critical for preventing fire-related disasters, safeguarding human lives, and ensuring infrastructure safety. Conventional sensor-based systems, however, are often constrain...

In this chapter, we will focus on a specific X‐raybased technique among those employed in surface science and which is especially suitable for the study of self‐assembled nanocrystals: Grazing Incidence Small Angle X...

One of the deadliest diseases that can affect children and adults is a brain tumour. A brain tumour is the abnormal growth of cells in the brain or near it. Commonly, there are two types of tumours: malignant (cancerous)...

Neighbourhood theft persists in peri-urban and urban Tanzania despite widespread community-led guarding. While commercial guard-tour systems exist, they do not fit neighbourhood committee realities of member contribution...

Customer churn prediction is essential across data-driven industries such as insurance, digital banking, e-commerce, and subscription platforms, where retaining existing customers is typically more cost-effective than ac...

To address issues such as missed detections and false positives in safety equipment wear detection tasks caused by complex backgrounds, severe occlusions, and small target sizes, as well as frequent ID switching and low ...