Projects per year
Personal profile
Expertise related to UN Sustainable Devlopment Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Zuherman Rustam is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 14 Finished
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Osteoarthritis Data Classification Based on Extreme Learning Machine
20/04/20 → 31/12/20
Project: Research
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A Hybrid Model Based on Convolutional Neural Network and Fuzzy Kernel K-Medoids for Lung Cancer Detection
20/04/20 → 30/09/21
Project: Research
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Implementation of Convolutional Support Vector Machines for Ischemic Stroke Classification
20/04/20 → 31/12/20
Project: Research
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Design of Feature Tranformation for An Accurate and Efficient Classification
20/04/20 → 31/12/20
Project: Research
Research output
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Acute sinusitis data classification using grey wolf optimization-based support vector machine
Putri, A. M., Rustam, Z., Pandelaki, J., Wirasati, I. & Hartini, S., 2021, In: IAES International Journal of Artificial Intelligence. 10, 2, p. 438-445 8 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
A hybrid convolutional neural network-support vector machine for x-ray computed tomography images on cancer
Aurelia, J. E. & Rustam, Z., 2021, In: Open Access Macedonian Journal of Medical Sciences. 9, B, p. 1283-1289 7 p.Research output: Contribution to journal › Article › peer-review
Open Access -
An approach for COVID-19 detection using deep convolutional features on chest X-ray images
Rustam, Z., Hartini, S., Wirasati, I. & Aurelia, J. E., 31 Mar 2021, In: Journal of Theoretical and Applied Information Technology. 99, 6, p. 1452-1460 9 p.Research output: Contribution to journal › Article › peer-review
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Biclustering of diabetic nephropathy and diabetic retinopathy microarray data using a similarity-based biclustering algorithm
Siswantining, T., Bustamam, A., Puspa, S. D., Rustam, Z. & Zubedi, F., 2021, In: International Journal of Bioinformatics Research and Applications. 17, 4, p. 343-362 20 p.Research output: Contribution to journal › Article › peer-review
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Cerebral Infarction Classification Using the K-Nearest Neighbor and Naive Bayes Classifier
Rukmawan, S. H., Aszhari, F. R., Rustam, Z. & Pandelaki, J., 15 Feb 2021, In: Journal of Physics: Conference Series. 1752, 1, 012045.Research output: Contribution to journal › Conference article › peer-review
Open Access