Zobrazeno 1 - 10
of 200
pro vyhledávání: '"Tetsuya HIROSE"'
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1429-1433
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :743-747
Autor:
Masahiro Numa, Kazuya Urazoe, Hironori Tsutsumi, Akihiro Maenaka, Mizuki Iwabuchi, Tetsuya Hirose, Nobutaka Kuroki, Kosuke Fuchuya
Publikováno v:
IEEJ Transactions on Electrical and Electronic Engineering. 16:1510-1517
Publikováno v:
IEICE Transactions on Information and Systems. (1):183-193
This paper presents an image super-resolution technique using a convolutional neural network (CNN) and multi-task learning for multiple image categories. The image categories include natural, manga, and text images. Their features differ from each ot
Publikováno v:
2022 IEEE International Symposium on Circuits and Systems (ISCAS).
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 67:4110-4121
This article presents a high-conversion-ratio (HCR), high-voltage-tolerant (HVT) energy-harvesting battery charger using 0.18- $\mu \text{m}$ standard CMOS for Internet of Things (IoT). To reduce conversion ratio (CR) of inductive power converter and
Autor:
Yuichiro Nakazawa, Tetsuya Hirose
Publikováno v:
IEICE Transactions on Electronics. :446-457
Publikováno v:
Electronics and Communications in Japan. 103:15-25
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. (7):955-958
Convolutional neural network (CNN)-based image super-resolutions are widely used as a high-quality image-enhancement technique. However, in general, they show little to no luminance isotropy. Thus, we propose two methods, “Luminance Inversion Train
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 140:638-650