Projects per year
Personal profile
Expertise related to UN Sustainable Development 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 Benyamin Kusumo Putro is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 13 Finished
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SMAVI: Intelligent Visitor Counter Berbasis Artificial Intelligence
10/07/20 → 30/07/21
Project: Inovation
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Performance Analysis of Fuzzy-Weighted Multiple Instance Learning on Thermal Video-Based Visual Tracking
Ibrahim, N., Darlis, A. R. & Kusumoputro, B., Jun 2022, In: Journal of Image and Graphics(United Kingdom). 10, 2, p. 88-94 7 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Attitude and Altitude Control of Quadcopter Maneuvers using Neural Network–Based Direct Inverse Control
Heryanto, M. A. & Kusumoputro, B., Oct 2021, In: International Journal of Technology. 12, 4, p. 843-853 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Data acquisition of X-plane's aircraft through matlab for neural network based identification system
Fadlian, M. F., Azhari, M. B. & Kusumoputro, B., 23 Sep 2021, 5th International Tropical Renewable Energy Conference, i-TREC 2020. Irwansyah, R. & Budiyanto, M. A. (eds.). American Institute of Physics Inc., 060002. (AIP Conference Proceedings; vol. 2376).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Development of Mobile Robot Education Kit Prototype for Elementary School Students
Priandana, K., Margaretha, F., Sinaga, D. A. D. & Kusumoputro, B., 2021, 2021 International Conference on Computer System, Information Technology, and Electrical Engineering, COSITE 2021. Institute of Electrical and Electronics Engineers Inc., p. 198-203 6 p. (2021 International Conference on Computer System, Information Technology, and Electrical Engineering, COSITE 2021).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Extreme learning machine–radial basis function (ELM-RBF) networks for diagnosing faults in a steam turbine
Dhini, A., Surjandari, I., Kusumoputro, B. & Kusiak, A., 2021, (Accepted/In press) In: Journal of Industrial and Production Engineering.Research output: Contribution to journal › Article › peer-review
13 Citations (Scopus)