E-LIB Suche - Ergebnisse für: Ueda, Naonori

1

Using active cooling/heating for 1C1R grey-box model parame..:

Takahashi, Atsushi ; Hokari, Hiroaki ; Doi, Mamoru...
Building Services Engineering Research and Technology. , 2024

Link: https://doi.org/10.1177/..

2

Improving the Efficiency of Training Physics-Informed Neura..:

Aikawa, Yuri ; Ueda, Naonori ; Tanaka, Toshiyuki
New Generation Computing. , 2024

Link: https://doi.org/10.1007/..

3

Efficient Network Representation Learning via Cluster Simil..:

, In: Database Systems for Advanced Applications; Lecture Notes in Computer Science,

Fujiwara, Yasuhiro ; Ida, Yasutoshi ; Kumagai, Atsutoshi... - p. 297-307 , 2023

Link: https://doi.org/10.1007/..

4

CoordiNet: Constrained Dynamics Learning for State Coordina..:

Niwa, Kenta ; Ueda, Naonori ; Sawada, Hiroshi...
IEEE Transactions on Signal and Information Processing over Networks. 9 (2023) - p. 242-257 , 2023

Link: https://doi.org/10.1109/..

5

Moving Object Detection by Low-Rank Analysis of Region-Base..:

, In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium,

Kalantar, Bahareh ; Ueda, Naonori ; Zand, Mohsen. - p. 5874-5877 , 2023

Link: https://doi.org/10.1109/..

6

Water depth estimation from Sentinel-2 imagery using advanc..:

Saeidi, Vahideh ; Seydi, Seyd Teymoor ; Kalantar, Bahareh...
Geomatics, Natural Hazards and Risk. 14 (2023) 1 - p. , 2023

Link: https://doi.org/10.1080/..

7

Development of 3D Viscoelastic Crustal Deformation Analysis..:

, In: Computational Science – ICCS 2023; Lecture Notes in Computer Science,

Murakami, Sota ; Fujita, Kohei ; Ichimura, Tsuyoshi... - p. 423-437 , 2023

Link: https://doi.org/10.1007/..

8

Encoder–decoder-based image transformation approach for int..:

Hachiya, Hirotaka ; Masumoto, Yusuke ; Kudo, Atsushi.
Machine Learning with Applications. 12 (2023) - p. 100473 , 2023

Link: https://doi.org/10.1016/..

9

Comment on 'Geophysical inversion and optimal transport' by..:

Okazaki, Tomohisa ; Ueda, Naonori
Geophysical Journal International. 233 (2023) 2 - p. 1484-1487 , 2023

Link: https://doi.org/10.1093/..

10

Efficient Network Representation Learning via Cluster Simil..:

Fujiwara, Yasuhiro ; Ida, Yasutoshi ; Kumagai, Atsutoshi...
Data Science and Engineering. 8 (2023) 3 - p. 279-291 , 2023

Link: https://doi.org/10.1007/..

11

Centrality measure and visualization technique for multiple..:

Yamagishi, Yuki ; Saito, Kazumi ; Hirahara, Kazuro.
Applied Network Science. 8 (2023) 1 - p. , 2023

Link: https://doi.org/10.1007/..

12

A novel deep learning approach for typhoon-induced storm su..:

Mulia, Iyan E. ; Ueda, Naonori ; Miyoshi, Takemasa..
Scientific Reports. 13 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

13

Position-dependent partial convolutions for supervised spat..:

Hachiya, Hirotaka ; Nagayoshi, Kotaro ; Iwaki, Asako...
Machine Learning with Applications. 14 (2023) - p. 100514 , 2023

Link: https://doi.org/10.1016/..

14

Unboxing the Black Box of Attention Mechanisms in Remote Se..:

Hasanpour Zaryabi, Erfan ; Moradi, Loghman ; Kalantar, Bahareh..
Remote Sensing. 14 (2022) 24 - p. 6254 , 2022

Link: https://doi.org/10.3390/..

15

Fusion of the Multisource Datasets for Flood Extent Mapping..:

Seydi, Seyd Teymoor ; Saeidi, Vahideh ; Kalantar, Bahareh...
Journal of Sensors. 2022 (2022) - p. 1-20 , 2022

Link: https://doi.org/10.1155/..