Ray tracing acceleration using total variation norm minimization for radio map simulation N Suga, R Sasaki, M Osawa, T Furukawa IEEE Wireless Communications Letters 10 (3), 522-526, 2020 | 16 | 2020 |
WLAN Interference Identification Using a Convolutional Neural Network for Factory Environments. JL Webber, K Yano, N Suga, Y Hou, E Nii, T Higashimori, A Mehbodniya, ... J. Commun. 16 (7), 276-283, 2021 | 14 | 2021 |
Estimation of probability density function using multi-bandwidth kernel density estimation for throughput N Suga, K Yano, J Webber, Y Hou, T Higashimori, Y Suzuki 2020 international conference on artificial intelligence in information and …, 2020 | 14 | 2020 |
Study on fading prediction for automated guided vehicle using probabilistic neural network J Webber, N Suga, K Yano, T Kumagai 2018 Asia-Pacific Microwave Conference (APMC), 887-889, 2018 | 14 | 2018 |
A study of throughput prediction using convolutional neural network over factory environment Y Hou, K Yano, N Suga, J Webber, E Nii, T Higashimori, S Denno, ... 2022 24th International Conference on Advanced Communication Technology …, 2022 | 13 | 2022 |
Channel estimation using matrix factorization based interpolation for OFDM systems N Suga, R Sasaki, T Furukawa 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-5, 2019 | 13 | 2019 |
Machine learning-based RSSI prediction in factory environments J Webber, N Suga, S Ano, Y Hou, A Mehbodniya, T Higashimori, K Yano, ... 2019 25th Asia-Pacific Conference on Communications (APCC), 195-200, 2019 | 10 | 2019 |
Creation and analysis of emotional speech database for multiple emotions recognition R Sato, R Sasaki, N Suga, T Furukawa 2020 23rd Conference of the Oriental COCOSDA International Committee for the …, 2020 | 9 | 2020 |
Indoor radio map construction via ray tracing with RGB-D sensor-based 3D reconstruction: concept and experiments in WLAN systems N Suga, Y Maeda, K Sato IEEE Access 11, 24863-24874, 2023 | 8 | 2023 |
Scalar ambiguity estimation based on maximum likelihood criteria for totally blind channel estimation in block transmission systems N Suga, T Furukawa IEEE Transactions on Wireless Communications 20 (4), 2608-2620, 2020 | 8 | 2020 |
Prediction of QoS outage probability for wireless communication in factory environments N Suga, K Yano, J Webber, Y Hou, T Higashimori, Y Suzuki 2019 International Conference on Internet of Things, Embedded Systems and …, 2019 | 8 | 2019 |
Study on channel prediction for automated guided vehicle using a probabilistic neural network J Webber, N Suga, A Mehbodniya, K Yano, Y Suzuki IEICE Communications Express 8 (8), 311-317, 2019 | 7 | 2019 |
On recursive representation of optimum projection matrix N Suga, T Furukawa IEICE Transactions on Fundamentals of Electronics, Communications and …, 2016 | 7 | 2016 |
LSTM-based spectral efficiency prediction by capturing wireless terminal movement in IRS-assisted systems Y Tsuchiya, N Suga, K Uruma, M Fujisawa 2022 IEEE 95th Vehicular Technology Conference:(VTC2022-Spring), 1-5, 2022 | 4 | 2022 |
Iterative updating of oblique projection matrix N Suga, T Furukawa 2013 International Symposium on Intelligent Signal Processing and …, 2013 | 4 | 2013 |
Anomaly Detection Based on Clustering in Varying Wireless Environment N Suga, J Webber, T Higashimori, N Egashira, K Yano, T Kumagai IEICE Technical Report; IEICE Tech. Rep. 117 (457), 125-129, 2018 | 3 | 2018 |
MUSIC Spectrum Based Interference Detection, Localization and Interference Arrival Prediction for mmWave IRS-MIMO System Y Hou, K Yano, N Suga, J Webber, S Denno, T Sakano IEEE Access, 2024 | 1 | 2024 |
Acceleration of Tensor Interpolation-Based Radio Map Estimation M Osawa, N Suga IEICE Transactions on Fundamentals of Electronics, Communications and …, 2023 | 1 | 2023 |
Study on channel prediction in IRS-assisted wireless communication systems N Suga, K Yano, Y Hou, T Sakano IEICE Communications Express 12 (7), 374-378, 2023 | 1 | 2023 |
WLAN Throughput Prediction Using Deep Learning with Throughput, RSS, and COR Y Tsuchiya, N Suga, K Uruma, K Yano, Y Suzuki, M Fujisawa 2022 International Symposium on Intelligent Signal Processing and …, 2022 | 1 | 2022 |