Department of Advanced Information Technology

Fingerprint Dive into the research topics where Department of Advanced Information Technology is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Cameras Engineering & Materials Science
Experiments Engineering & Materials Science
Character recognition Engineering & Materials Science
Robots Engineering & Materials Science
Sensors Engineering & Materials Science
Software engineering Engineering & Materials Science
Pixels Engineering & Materials Science
Neural networks Engineering & Materials Science

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Research Output 1980 2020

Implementing Lightweight IoT-IDS on Raspberry Pi Using Correlation-Based Feature Selection and Its Performance Evaluation

Soe, Y. N., Feng, Y., Santosa, P. I., Hartanto, R. & Sakurai, K., Jan 1 2020, Advanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019. Takizawa, M., Enokido, T., Barolli, L. & Xhafa, F. (eds.). Springer Verlag, p. 458-469 12 p. (Advances in Intelligent Systems and Computing; vol. 926).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feature extraction
Intrusion detection
Learning systems
Classifiers
Internet of things
4 Citations (Scopus)

Infinite Brain MR Images: PGGAN-Based Data Augmentation for Tumor Detection

Han, C., Rundo, L., Araki, R., Furukawa, Y., Mauri, G., Nakayama, H. & Hayashi, H., Jan 1 2020, Smart Innovation, Systems and Technologies. Springer Science and Business Media Deutschland GmbH, p. 291-303 13 p. (Smart Innovation, Systems and Technologies; vol. 151).

Research output: Chapter in Book/Report/Conference proceedingChapter

Magnetic resonance
Tumors
Brain
Medical imaging
Neural networks

Time series classification using local distance-based features in multi-modal fusion networks

Kenji Iwana, B. & Uchida, S., Jan 1 2020, In : Pattern Recognition. 97, 107024.

Research output: Contribution to journalArticle

Data fusion
Convolution
Clustering algorithms
Time series
Neural networks