26 results found

Chuanyi Ma, Xuefeng Han, Ning Zhang, Hongliang Liu, Guangyu Yang, Wenfeng Tu, Changyuan Chen, Yuxue Chen

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...

Scientific Reports 2026-04-22 rs-9308153
Complex tunnel environment Vibration information Remote sensing Vibration damping and noise reduction

Dan Shen, Rafizah Mohd Rawian

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...

Asian-Pacific Journal of Second and Foreign Language Education 2026-04-22 rs-9386998
language creativity writing attitudes writing performance genre differences natural language processing (NLP)

FERNANDA SOBREIRA SILVA, MARINA GOMES SILVA, INGRID LARISSA DA SILVA SANTANA, VANESSA DE OLIVEIRA MARQUES CAVALCANTI, NAIANA SANTOS DA CRUZ SANTANA NEVES, THIERRY WESLEY DE ALBUQUERQUE AGUIAR, ANA MARIA MENDONÇA DE ALBUQUERQUE MELO, JOAN MANUEL RODRIGUEZ-DIAZ, FERNANDA ARAÚJO HONORATO, DANIELLA CARLA NAPOLEÃO

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...

Brazilian Journal of Chemical Engineering 2026-04-21 rs-9381829
Heterogeneous photo-Fenton Lamivudine Matrix effects Synthetic wastewater Zidovudine

Namwang Stephen Karlo, Mary Odenyo, Abalo Agness Oryem

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...

Research Square 2026-04-21 rs-9461119
Data Decision-Making Recruitment transparency fairness inclusivity & diversity delay salary & pension Public Service

Venkat Alamuri

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...

Research Square 2026-04-21 rs-9455617
Self-healing data pipelines Reinforcement learning Stream processing Cost-aware optimization Real-time validation Adaptive systems Anomaly detection

S M A K Azad, Sri Ramya Siraparapu

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...

Research Square 2026-04-21 rs-9455555
Process Control Network (PCN) OSPF Routing Protocol Industrial Communication Network Industrial Ethernet Network Resilience Link Failure Recovery

ADITYA MENON, KALAIVANI SHANMUGAM

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...

Scientific Reports 2026-04-21 rs-9159010
Transparency mode hearable devices adaptive signal processing spectral centroid RMS limiter dynamic thresholding real-time audio DSP

Jaeman Kim, Sang Ki Kim, Seung-Hwan Park, Jihoon Kang

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 ...

The International Journal of Advanced Manufacturing Technology 2026-04-21 rs-9326628
stochastic representation autocorrelation beta regression sequential optimization

CHIZURU MATSUI, Hironobu Kawamura

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...

The International Journal of Advanced Manufacturing Technology 2026-04-21 rs-9303803
visual inspection anomaly detection image processing MVTec AD multi-filter fusion luminance variance thresholding

Abdulmajeed Alhumaidi, Yosab Bebawy, Roman Obermaisser

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 ...

Real-Time Systems 2026-04-21 rs-9246074
Real-time systems Worst-case execution time (WCET) Deterministic scheduling Distributed deep neural network inference Heterogeneous multiprocessor scheduling Directed acyclic graph (DAG) scheduling Time-Sensitive Networking (TSN) FPGA-based acceleration
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