During tunnel construction, the surface of surrounding rock is often unstable, making traditional contact sensors (e.g., accelerometers) difficult to install reliably and highly susceptible to detachm...
This study adopts an interpretive case study design and integrates semi-structured interviews with NLP-assisted text analysis to examine EFL learners’ perceptions of language creativity, writing attit...
The high water Population Drugs, especially antiretroviral drugs, have been widely used worldwide to treat antiretroviral infections and are classified as persistent organic pollutants. These contamin...
The research investigates how data-driven recruitment methods can enhance South Sudan's unstable public sector through its study of the State Ministry of Labour in Eastern Equatoria, which faces ongoi...
Dynamic data distributions, system failures, and low-latency, cost-effective processing are becoming more of a challenge to modern real-time data pipelines. Current streaming architectures are based o...
Process Control Network (PCN) is a vital element in the overall automation system in the industry, which ensures the communication between the devices in the network. Uninterrupted data transmission i...
Transparency mode is an important feature of modern hearable devices. It lets you hear environmental sounds in real time while keeping you comfortable and aware of what's going on around you. Conventi...
In modern manufacturing, artificial intelligence and data analytics techniques are frequently used and developed for various industrial applications. The final purpose of the smart-factory problem is ...
Two principal paradigms dominate in automated defect detection: convolutional neural network (CNN)-based approaches and proprietary non-CNN algorithmic methods. The optimal choice depends on the targe...
Deep neural networks (DNNs) are increasingly critical to embedded and cyber–physical systems that demand strict real-time guarantees. However, the computational intensity of modern DNNs often exceeds ...
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