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 Mia Rizkinia is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 4 Finished
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Optimasi Algoritma Rekonstruksi Citra Gelombang Mikro untuk Deteksi Tumor menggunakan Non-Local Total Variation
20/04/20 → 30/09/21
Project: Research
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Teknik Interaksi untuk Difabel menggunakan Virtual Reality dengan Metode Intentional Eye Accommodation
20/04/20 → 30/09/21
Project: Research
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Pengembangan Algoritma Rekonstruksi Pencitraan Gelombang Mikro dan Instrumentasi untuk Aplikasi Biomedik
11/03/19 → 31/12/19
Project: Research
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Conditional Generative Adversarial Networks with Total Variation and Color Correction for Generating Indonesian Face Photo from Sketch
Rizkinia, M., Faustine, N. & Okuda, M., Oct 2022, In: Applied Sciences (Switzerland). 12, 19, 10006.Research output: Contribution to journal › Article › peer-review
Open Access -
Three-Dimensional Convolutional Neural Network on Multi-Temporal Synthetic Aperture Radar Images for Urban Flood Potential Mapping in Jakarta
Riyanto, I., Rizkinia, M., Arief, R. & Sudiana, D., 1 Feb 2022, In: Applied Sciences (Switzerland). 12, 3, 1679.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Automatic Physiognomy System using Active Appearance Model and Convolutional Neural Network
Sudiana, D., Rizkinia, M. & Rafid, I. M., 2021, 17th International Conference on Quality in Research, QIR 2021: International Symposium on Electrical and Computer Engineering. Institute of Electrical and Electronics Engineers Inc., p. 104-109 6 p. (17th International Conference on Quality in Research, QIR 2021: International Symposium on Electrical and Computer Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Development of Long Short-Term Memory (LSTM) Bayesian Network Method for Predicting Wind Power Potential in a Wind Power Plant in Indonesia
Sudiana, D., Rizkinia, M. & Tristan, N., 2021, 17th International Conference on Quality in Research, QIR 2021: International Symposium on Electrical and Computer Engineering. Institute of Electrical and Electronics Engineers Inc., p. 85-89 5 p. (17th International Conference on Quality in Research, QIR 2021: International Symposium on Electrical and Computer Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Ethereum Price Prediction Comparison Using k-NN and Multiple Polynomial Regression
Kristian, N., Adzikri, F. & Rizkinia, M., 2021, 17th International Conference on Quality in Research, QIR 2021: International Symposium on Electrical and Computer Engineering. Institute of Electrical and Electronics Engineers Inc., p. 141-146 6 p. (17th International Conference on Quality in Research, QIR 2021: International Symposium on Electrical and Computer Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review