[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …
resulting in vast amounts of data that carry valuable information. Numerous research studies …
Control of grain structure, phases, and defects in additive manufacturing of high-performance metallic components
The properties and serviceability of 3D-printed metal parts depend on a variety of attributes.
These include the chemical composition, phases, morphology, spatial distributions of grain …
These include the chemical composition, phases, morphology, spatial distributions of grain …
A bi-level data-driven framework for fault-detection and diagnosis of HVAC systems
Long-term operation of heating, ventilation, and air conditioning (HVAC) systems will
eventually lead to a range of HVAC system failures, resulting in excessive energy …
eventually lead to a range of HVAC system failures, resulting in excessive energy …
[HTML][HTML] Machine learning-assisted in-situ adaptive strategies for the control of defects and anomalies in metal additive manufacturing
In metal additive manufacturing (AM), the material microstructure and part geometry are
formed incrementally. Consequently, the resulting part could be defect-and anomaly-free if …
formed incrementally. Consequently, the resulting part could be defect-and anomaly-free if …
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data
This work presents an in-situ quality assessment and improvement technique using point
cloud and AI for data processing and smart decision making in Additive Manufacturing (AM) …
cloud and AI for data processing and smart decision making in Additive Manufacturing (AM) …
A dagging‐based deep learning framework for transmission line flexibility assessment
Uncertainty in renewable energy generation, energy consumption, and electricity prices, as
well as transmission congestion, pose a number of problems in modern power grids …
well as transmission congestion, pose a number of problems in modern power grids …
An ensemble hierarchical clustering algorithm based on merits at cluster and partition levels
Q Huang, R Gao, H Akhavan - Pattern Recognition, 2023 - Elsevier
Ensemble clustering has emerged as a combination of several basic clustering algorithms to
achieve high quality final clustering. However, this technique is challenging due to the …
achieve high quality final clustering. However, this technique is challenging due to the …
Understanding compressive viscoelastic properties of additively manufactured PLA for bone-mimetic scaffold design
Bone tissue engineering has been recognized as a promising strategy to repair or replace
damaged bone tissues. The mechanical properties of bone scaffolds play a critical role in …
damaged bone tissues. The mechanical properties of bone scaffolds play a critical role in …
Towards intelligent cooperative robotics in additive manufacturing: Past, present, and future
Additive manufacturing (AM) technologies have undergone significant advancements
through the integration of cooperative robotics additive manufacturing (C-RAAM) platforms …
through the integration of cooperative robotics additive manufacturing (C-RAAM) platforms …
The interaction between exploratory behaviours and entrepreneurial opportunity recognition by agriculture students: The mediating role of strategic learning and …
This study aimed to investigate the interaction between exploratory behaviours and
entrepreneurial opportunity recognition among agriculture students mediated by strategic …
entrepreneurial opportunity recognition among agriculture students mediated by strategic …