Understanding the Effects of Process Conditions on Thermal–Defect Relationship: A Transfer Machine Learning Approach

Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process

(2022) Vigneashwara Pandiyan et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Similarity-based Multi-source Transfer Learning Approach for Time Series Classification

(2022) Ayantha Senanayaka et al.   International Journal of Prognostics and Health Management

Deep Learning-Based Data Fusion Method for In Situ Porosity Detection in Laser-Based Additive Manufacturing

(2020) Qi Tian et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Machine learning in additive manufacturing: State-of-the-art and perspectives

(2020) C. Wang et al.   Additive Manufacturing

In-Process monitoring of porosity during laser additive manufacturing process

(2019) Bin Zhang et al.   Additive Manufacturing

Porosity prediction: Supervised-learning of thermal history for direct laser deposition

(2018) Mojtaba Khanzadeh et al.   JOURNAL OF MANUFACTURING SYSTEMS

On automated source selection for transfer learning in convolutional neural networks

(2018) Muhammad Jamal Afridi et al.   PATTERN RECOGNITION

A Review on Melt-Pool Characteristics in Laser Welding of Metals

(2018) Behzad Fotovvati et al.   Advances in Materials Science and Engineering

In-situ monitoring of melt pool images for porosity prediction in directed energy deposition processes

(2018) Mojtaba Khanzadeh et al.   IISE Transactions

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

(2018) Liang Guo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis

(2017) Stergios Christodoulidis et al.   IEEE Journal of Biomedical and Health Informatics

Transfer Learning With Neural Networks for Bearing Fault Diagnosis in Changing Working Conditions

(2017) Ran Zhang et al.   IEEE Access

Melt-pool motion, temperature variation and dendritic morphology of Inconel 718 during pulsed- and continuous-wave laser additive manufacturing: A comparative study

(2017) Simeng Li et al.   MATERIALS & DESIGN

Kernel-Based Domain-Invariant Feature Selection in Hyperspectral Images for Transfer Learning

(2016) Claudio Persello et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Principal component analysis: a review and recent developments

(2016) Ian T. Jolliffe et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?

(2014) Fionn Murtagh et al.   JOURNAL OF CLASSIFICATION

Flash Thermography to Evaluate Porosity in Carbon Fiber Reinforced Polymer (CFRPs)

(2014) Carosena Meola et al.   Materials

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A theory of learning from different domains

(2009) Shai Ben-David et al.   MACHINE LEARNING

Crystallographic texture and microstructure of pulsed diode laser-deposited Waspaloy

(2008) R.J. Moat et al.   ACTA MATERIALIA