Challenges and benefits for small and medium enterprises in the transformation to smart manufacturing: a systematic literature review and framework

R Krishnan - Journal of Manufacturing Technology Management, 2024 - emerald.com
Purpose Smart manufacturing is revolutionizing the manufacturing industry by shifting the
focus from traditional manufacturing to a more intelligent, interconnected and responsive …

Enhancing lung cancer diagnosis with data fusion and mobile edge computing using DenseNet and CNN

C Zhang, M Aamir, Y Guan, M Al-Razgan… - Journal of Cloud …, 2024 - Springer
The recent advancements in automated lung cancer diagnosis through the application of
Convolutional Neural Networks (CNN) on Computed Tomography (CT) scans have marked …

[HTML][HTML] Digitalization of maintenance activities in small and medium-sized enterprises: A conceptual framework

OF Grooss - Computers in Industry, 2024 - Elsevier
Asset management and digitalization are two timely research topics, especially for small and
medium-sized enterprises (SMEs). SMEs continue to struggle with implementing digital …

[HTML][HTML] Investigation and numerical simulation of the acoustic target strength of the underwater submarine vehicle

K Sathish, R Anbazhagan, RC Venkata, F Arena… - Inventions, 2022 - mdpi.com
Modern weapon systems' survival hinges on their detection capabilities more than anything
else. In the active sonar equation, the acoustic target strength is crucial. Under the …

Submarine acoustic target strength modeling at high-frequency asymptotic scattering

S Kumar, R Chinthaginjala, R Anbazhagan… - IEEE …, 2024 - ieeexplore.ieee.org
The ability to identify asymptotic scattering is critical for the continuous operation of modern
combat systems. In the active sonar equation, acoustic target strength is crucial. The plane …

Improvement of the vibration analysis technique by optimizing the parameters of the piezoelectric accelerometer

Z Ghemari, S Belkhiri… - 2022 IEEE 21st …, 2022 - ieeexplore.ieee.org
Condition-based maintenance is the most advanced form of maintenance because it is
based on the actual state of the machine. It allows for better manage the interventions …

Facial expression recognition using lightweight deep learning modeling

M Ahmad, O Alfandi, AM Khattak… - Mathematical …, 2023 - zuscholars.zu.ac.ae
Facial expression is a type of communication and is useful in many areas of computer vision,
including intelligent visual surveillance, human-robot interaction and human behavior …

Cost-Effectiveness of Predictive Maintenance for Offshore Wind Farms: A Case Study

RD Frederiksen, G Bocewicz, G Radzki, Z Banaszak… - Energies, 2024 - mdpi.com
The successful implementation of predictive maintenance for offshore wind farms suffers
from a poor understanding of the consequential short-term impacts and a lack of research on …

Secure explainable-AI approach for brake faults prediction in heavy transport

MA Khan, M Khan, H Dawood, H Dawood… - IEEE Access, 2024 - ieeexplore.ieee.org
Ensuring the safety of vehicles requires the critical responsibility of diagnosing and
correcting brake faults. Implementing this proactive measure to address brake faults not only …

Exploration of production data for predictive maintenance of industrial equipment: A case study

N Burmeister, RD Frederiksen, E Høg, P Nielsen - IEEE Access, 2023 - ieeexplore.ieee.org
Data-driven predictive maintenance is typically based on collected data from multiple
sensors or industrial systems over a period of time, where historical and real-time data are …