Toward intelligent food drying: Integrating artificial intelligence into drying systems
Artificial intelligence (AI) and its data-driven counterpart, machine learning (ML), are rapidly
evolving disciplines with increasing applications in modeling, simulation, control, and …
evolving disciplines with increasing applications in modeling, simulation, control, and …
Machine Learning Applications in Manufacturing-Challenges, Trends, and Future Directions
The emergence of Industry 4.0 (I4. 0) has significantly transformed manufacturing
landscapes, introducing interconnected, dynamic, and data-rich environments. This article …
landscapes, introducing interconnected, dynamic, and data-rich environments. This article …
Efficient deep Q-learning for industrial equipment calibration in elevator manufacturing
Industrial equipment calibration is an essential element for the proper functioning of any
production plant. Without frequent and proper calibration, the quality and efficiency of the …
production plant. Without frequent and proper calibration, the quality and efficiency of the …
A multi-layered assessment system for trustworthiness enhancement and reliability for industrial wireless sensor networks
The decision-making process in Industrial Wireless Sensor Networks heavily relies on the
information provided by smart sensors. Ensuring the trustworthiness of these sensors is …
information provided by smart sensors. Ensuring the trustworthiness of these sensors is …
A two-stage unsupervised approach for surface anomaly detection in wire and arc additive manufacturing
Wire and arc additive manufacturing (WAAM) has gradually been applied in industrial
applications in recent years due to its low cost, high deposition rate, and high material …
applications in recent years due to its low cost, high deposition rate, and high material …
[HTML][HTML] Detection of Defects in Polyethylene and Polyamide Flat Panels Using Airborne Ultrasound-Traditional and Machine Learning Approach
Featured Application The potential application of the work is automatic ML-based quality
control and defect detection systems within Industry 4.0/5.0 paradigm. Abstract This paper …
control and defect detection systems within Industry 4.0/5.0 paradigm. Abstract This paper …
An approach for adaptive filtering with reinforcement learning for multi-sensor fusion in condition monitoring of gearboxes
Condition monitoring of gearboxes is integral to maintaining floor safety, system stability,
and inventory management. Capturing vibration response using sensors and subsequent …
and inventory management. Capturing vibration response using sensors and subsequent …
Special issue on advances in zero defect manufacturing
This introduction to the special issue discusses contemporary advances in zero defect
manufacturing. As a technology-intensive concept, zero defect manufacturing has gained …
manufacturing. As a technology-intensive concept, zero defect manufacturing has gained …
Time-series Forecasting in Industrial Environments: A Performance Study and a Novel Late Fusion Framework
In manufacturing environments, monitoring of the Overall Equipment Effectiveness (OEE) via
soft sensors plays a pivotal role in enhancing productivity and efficiently planning …
soft sensors plays a pivotal role in enhancing productivity and efficiently planning …
Deep Fuzzy Cognitive Maps for Defect Inspection in Antenna Assembly
Regardless of the tremendous technological development in manufacturing processes and
equipment, assembly errors are an emerging concern. Hence, quality inspection software is …
equipment, assembly errors are an emerging concern. Hence, quality inspection software is …