Projects per year
Fingerprint 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.
- 18 Similar Profiles
Neural networks
Engineering & Materials Science
Odors
Engineering & Materials Science
Backpropagation
Engineering & Materials Science
Altitude control
Engineering & Materials Science
Fragrances
Engineering & Materials Science
Unmanned aerial vehicles (UAV)
Engineering & Materials Science
Neurons
Engineering & Materials Science
Vector quantization
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2018 2018
- 3 Finished
Komparasi Unjuk Kerja Sistem Kendali UAV Berbasis Metoda Artificial Neural Networks terhadap Metoda Kendali PID
1/01/18 → 31/12/18
Project: Research
Research Output 1998 2019
A Comparison of Back Propagation Neural Network and Elman Recurrent Neural Network Algorithms on Altitude Control of Heavy-lift Hexacopter Based on Direct Inverse Control
Suprapto, B. Y. & Putro, B. K., 7 Jan 2019, Proceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018. Institute of Electrical and Electronics Engineers Inc., p. 79-84 6 p. 8605240. (Proceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Altitude control
Elman Neural Network
Recurrent neural networks
Back-propagation Neural Network
Recurrent Neural Networks
Convolution Neural Network for Pose Estimation of Noisy Three-Dimensional Face Images
Kamanditya, B., Kuswara, R. P., Nugroho, M. A. & Putro, B. K., 28 Jan 2019, 2018 IEEE 5th International Conference on Engineering Technologies and Applied Sciences, ICETAS 2018. Institute of Electrical and Electronics Engineers Inc., 8629150. (2018 IEEE 5th International Conference on Engineering Technologies and Applied Sciences, ICETAS 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Convolution
neural network
CNN
Neural networks
Classifiers
Improving the reliability of RPM measurement of UAV propeller using outliers removal technique
Muliadi, J., Setiyoko, A. & Kusumoputro, B., 9 May 2019, Proceedings - 2018 International Conference on Control, Electronics, Renewable Energy and Communications, ICCEREC 2018. Institute of Electrical and Electronics Engineers Inc., p. 110-114 5 p. 8711990. (Proceedings - 2018 International Conference on Control, Electronics, Renewable Energy and Communications, ICCEREC 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Propellers
Unmanned aerial vehicles (UAV)
Data acquisition
Identification (control systems)
Intelligent Fault Diagnosis for Power Transformer Based on DGA Data Using Support Vector Machine (SVM)
Dhini, A., Surjandari, I., Faqih, A. & Kusumoputro, B., 11 Apr 2019, Proceedings - 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018. Institute of Electrical and Electronics Engineers Inc., p. 294-298 5 p. 8688719. (Proceedings - 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Power Transformer
Gas fuel analysis
Power transformers
Transformer
Fault Diagnosis
Mackey-glass chaotic time series prediction using modified rbf neural networks
Faqih, A., Lianto, A. P. & Kusumoputro, B., 10 Jan 2019, Proceedings of the 2019 2nd International Conference on Software Engineering and Information Management, ICSIM 2019 - Workshop 2019 2nd International Conference on Big Data and Smart Computing, ICBDSC 2019. Association for Computing Machinery, p. 7-11 5 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Chaotic systems
Time series
Neural networks
Glass
Mathematical models