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Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Adaptive Multi-level Backward Tracking for Sequential Feature Selection
Abstract. In the past few decades, the large amount of available data has become a major challenge in data mining and machine learning. Feature selection is a significant preprocessing step for selecting the most informative features by removing…
Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Cell Selection Mechanism Based on Q-learning Environment in Femtocell LTE-A Networks
Abstract. Universal mobile networks require enhanced capability and appropriate quality of service (QoS) and experience (QoE). To achieve this, Long Term Evolution (LTE) system operators have intensively deployed femtocells (HeNBs) along with…
Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Extraction of the Major Features of Brain Signals using Intelligent Networks
Abstract. The brain-computer interface is considered one of the main tools for implementing and designing smart medical software. The analysis of brain signal data, called EEG, is one of the main tasks of smart medical diagnostic systems. While EEG…
Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Revealing the Characteristics of Balinese Dance Maestros by Analyzing Silhouette Sequence Patterns Using Bag of Visual Movement with HoG and SIFT Features
Abstract. The aim of this research was to reveal and explore the characteristics of Balinese dance maestros by analyzing silhouette sequence patterns of Balinese dance movements. A method and complete scheme for the extraction and construction of…
Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Tsunami Impact Prediction System Based on TsunAWI Inundation Data
Abstract. It is very important for tsunami early warning systems to provide inundation predictions within a short period of time. Inundation is one of the factors that directly cause destruction and damage from tsunamis. This research proposes a…
Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Unsupervised Detection of Anomalous Sound for Machine Condition Monitoring using Fully Connected U-Net
Abstract. Anomaly detection in the sound from machines is an important task in machine monitoring. An autoencoder architecture based on the reconstruction error using a log-Mel spectrogram feature is a conventional approach for this domain. However,…