You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
Mendeley readers
Chapter title |
E-Nose: Spoiled Food Detection Embedded Device Using Machine Learning for Food Safety Application
|
---|---|
Chapter number | 17 |
Book title |
Computing and Informatics
|
Published in |
Communications in Computer and Information Science, January 2024
|
DOI | 10.1007/978-981-99-9589-9_17 |
Book ISBNs |
978-9-81-999588-2, 978-9-81-999589-9
|
Authors |
Azman, Wan Nur Fadhlina Syamimi Wan, Azir, Ku Nurul Fazira binti Ku, Khairuddin, Adam bin Mohd |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 100% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 1 | 100% |