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Data-driven order correlation pattern and storage location assignment in robotic mobile fulfillment and process automation system
With the rapid development and implementation of ICT, academics and industrial
practitioners are widely applying robotic process automation (RPA) to enhance their …
practitioners are widely applying robotic process automation (RPA) to enhance their …
Investigation and Empirical Analysis of Transfer Learning for Industrial IoT Networks
The Industrial Internet of Things Networks (IIoT-N) have revolutionized industrial systems by
connecting sensors, devices, and data analytics, creating complex, data-driven …
connecting sensors, devices, and data analytics, creating complex, data-driven …
[HTML][HTML] Dataset for Weld Seam Analysis and Discontinuity Prediction in Laser Beam Welding Scenarios
Laser beam welding can produce narrow, high-quality welds in various industrial joining
processes. The thermal expansion and contraction of the metal during the weld results in the …
processes. The thermal expansion and contraction of the metal during the weld results in the …
Federated learning for privacy-preserving collaboration in smart manufacturing
Manufacturers today are increasingly connected as part of a smart and connected
community. This transformation offers great potential to deepen their collaborations through …
community. This transformation offers great potential to deepen their collaborations through …
Defect Recognition on Single Layer Bare Printed Circuit Boards for Quality Control and Visual Inspection: A Low-Sample-Size Deep Transfer Learning Approach
YD Austria, AC Fajardo - 2023 9th International Conference on …, 2023 - ieeexplore.ieee.org
Defect detection is a critical component in ensuring the highest quality of printed circuit
board manufacture. The work investigates the application of transfer learning to identify …
board manufacture. The work investigates the application of transfer learning to identify …
Designing computational intelligence and data-driven cyber-physical approach for robotic mobile fulfillment system
KL Keung - 2023 - theses.lib.polyu.edu.hk
With the rapid development and implementation of ICT, academics and industrial
practitioners are widely applying robotic solutions to enhance their business processes and …
practitioners are widely applying robotic solutions to enhance their business processes and …
Seawater Temperature Profile Reconstruction Based on Transfer Learning
Z Wang, Q Li, J Zhu, Q Li, Z Juan… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Seawater temperature plays a key role in ocean thermal structure, water mass division, and
acoustic field distribution. To address the problem of constructing full-depth temperature …
acoustic field distribution. To address the problem of constructing full-depth temperature …
Machine Learning-Driven Demand Prediction to Minimise Supply Chain Costs
SS Ahmed - 2023 - search.proquest.com
The application of artificial intelligence (AI), machine learning (ML), and data science
technologies has gained significant traction in recent years, particularly within the supply …
technologies has gained significant traction in recent years, particularly within the supply …
A Multi-Source Multi-Layer-Based Transfer Learning Approach for Forecasting Customer Demands of Newly Launched Products
Forecasting the future demand for newly launched products has been challenging for supply
chain practitioners, often due to the lack of data. However, market surveys and extracting …
chain practitioners, often due to the lack of data. However, market surveys and extracting …
Augmented Transfer CNN For Fault Diagnosis Of Roller Bearing Under Frequent Working Condition Variation
W Qian, J Lu - 2021 Global Reliability and Prognostics and …, 2021 - ieeexplore.ieee.org
Intelligent fault diagnosis (IFD) has been widely investigated and achieved massive
successes in past years. Particularly, Transfer learning (TL)-based IFD has been a hot topic …
successes in past years. Particularly, Transfer learning (TL)-based IFD has been a hot topic …