# Outlier detection in additive manufacturing using novel machine learning algorithm

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/outlier-detection-in-additive-manufacturing-using-novel-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chiranjit Dutta,Nagabhooshanam Nagarajan,Zameer Ahmed Adhoni,Sendil Kumar Dhandapany,Aravindhan Alagarsamy,Antharaju K Chakravarthy,Neti Praveen,Ganeshan Pushpanathan,Sathish Kannan |
| Citations | 4 |
| DOI | 10.1007/s00170-023-12798-9 |
| Fields | Engineering,Materials Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4389869315 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Antharaju K Chakravarthy](https://scholariq.org/researchers/antharaju-k-chakravarthy/)

## Paper journal

- [The International Journal of Advanced Manufacturing Technology](https://scholariq.org/journals/the-international-journal-of-advanced-manufacturing-technology/)

## Paper primary topic

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

## Paper topics

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Robot Manipulation and Learning](https://scholariq.org/topics/robot-manipulation-and-learning/)
- [Textile materials and evaluations](https://scholariq.org/topics/textile-materials-and-evaluations/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.