Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ryota Konno"'
Autor:
Kazuya Ishikawa, Ryota Konno, Satoyuki Hirano, Yuta Fujii, Masayuki Fujiwara, Yoichiro Fukao, Yutaka Kodama
Publikováno v:
The Plant Journal. 111:205-216
Plant cells alter the intracellular positions of chloroplasts to ensure efficient photosynthesis, a process controlled by the blue light receptor phototropin. Chloroplasts migrate toward weak light (accumulation response) and move away from excess li
Autor:
Yasuaki Hayafuchi, Ryota Konno, Annisa Noorhidayati, Mohammad Hamzah Fauzi, Naokazu Shibata, Katsushi Hashimoto, Yoshiro Hirayama
Publikováno v:
Applied Physics Express. 15:025002
The even-denominator states have attracted considerable attention owing to their possible applications in future quantum technologies. In this letter, we first report a 3/2 diagonal resistance, indicating the existence of a 3/2 state in a nanometer-s
Publikováno v:
Biochemical and Biophysical Research Communications. 503:235-241
Numerous studies have used genome-editing modules such as CRISPR-Cas9 for site-directed mutagenesis; however, evaluation of the efficiency of these modules remains a time-consuming process. Here, we report the development of SKL-mediated Peroxisome T
Autor:
Munehiro Moriya, Ryota Konno, Kazunori Kojima, Yoshiaki Itoh, Kazuyo Tanaka, Masato Obara, Shi-wook Lee
Publikováno v:
APSIPA
Much research has been conducted on spoken term detection. Query-by-example has also been an important topic in spoken term detection, which covers spoken queries. A previous study examined posteriorgrams, which are sequences of output probabilities
Publikováno v:
INTERSPEECH
Publikováno v:
APSIPA
In spoken-term detection (STD), the detection of out-of-vocabulary (OOV) query terms is crucial because query terms are likely to be OOV terms. This paper proposes a rescoring method that uses the posterior probabilities output by a deep neural netwo
Autor:
Kazuyo Tanaka, Shi-wook Lee, Takahiro Akyu, Kazuma Konno, Yoshiaki Itoh, Kazuki Oouchi, Kazunori Kojima, Ryota Konno
Publikováno v:
INTERSPEECH