Aji Gautama Putrada
Orcid: 0000-0001-8677-0177
According to our database1,
Aji Gautama Putrada authored at least 16 papers
between 2018 and 2026.
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Bibliography
2026
Network, 2026
Q-DELTA: A Novel GA-Autoencoder Anomaly Detection for Logistic Tracking Using Quantization.
IEEE Access, 2026
Optimization of Residual Hybridization in AIoT-Based Load Forecasting Using LSTM+XGBoost Model.
IEEE Access, 2026
2025
IEEE Access, 2025
2023
EdgeSL: Edge-Computing Architecture on Smart Lighting Control With Distilled KNN for Optimum Processing Time.
IEEE Access, 2023
Q8KNN: A Novel 8-Bit KNN Quantization Method for Edge Computing in Smart Lighting Systems with NodeMCU.
Proceedings of the Intelligent Systems and Applications, 2023
MDIASE-Autoencoder: A Novel Anomaly Detection Method for Increasing The Performance of Credit Card Fraud Detection Models.
Proceedings of the 29th International Conference on Telecommunications, 2023
Proceedings of the International Conference on Electrical Engineering and Informatics, 2023
2022
CIMA: A Novel Classification-Integrated Moving Average Model for Smart Lighting Intelligent Control Based on Human Presence.
Complex., 2022
IEEE Access, 2022
A Robust Internet of Things-Based Aquarium Control System Using Decision Tree Regression Algorithm.
IEEE Access, 2022
2021
Proceedings of Sixth International Congress on Information and Communication Technology, 2021
Comparative Analysis of Grid and Tree Topologies in Agriculture WSN with RPL Routing.
Proceedings of Sixth International Congress on Information and Communication Technology, 2021
Designing a Monitoring and Prediction System of Water Quality Pollution Using Artificial Neural Networks for Freshwater Fish Cultivation in Reservoirs.
Proceedings of Sixth International Congress on Information and Communication Technology, 2021
2019
Comparison of Classification Algorithms to Improve Smart Fire Alarm System Performance.
Proceedings of the 2019 International Workshop on Big Data and Information Security, 2019
2018
Integrated Lighting Enabler System Using M2M Platforms for Enhancing Energy Efficiency.
J. Inf. Process. Syst., 2018