Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Hayaru Shouno"'
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 4, Iss 1 (2024)
ABSTRACTCrystalline phase structure is essential for understanding the performance and properties of a material. Therefore, this study identified and quantified the crystalline phase structure of a sample based on the diffraction pattern observed whe
Externí odkaz:
https://doaj.org/article/06d1f2165c7e47c78f7894df65a3e5d4
Publikováno v:
IEEE Access, Vol 12, Pp 168963-168974 (2024)
Circuit design requires both prototyping and simulation owing to the high degrees of freedom and mutual interference between the circuit components and wiring. In this paper, we propose a novel approach that involves transforming a diode into nodes w
Externí odkaz:
https://doaj.org/article/2afa11a505624dc8b8edcb632b3a6e8f
Publikováno v:
IEEE Access, Vol 12, Pp 51818-51827 (2024)
Circuit design requires trial and error in both prototyping and simulation owing to the high degrees of freedom and mutual interference between the components. In this study, we propose a novel approach to address this challenge by introducing a tran
Externí odkaz:
https://doaj.org/article/ea0c491fad0548cc8c8fd3fcbd05e2f9
Autor:
Tahir Hussain, Hayaru Shouno
Publikováno v:
IEEE Access, Vol 12, Pp 40290-40310 (2024)
Precise segmentation is vital for successful diagnosis and treatment planning. Medical image segmentation has demonstrated remarkable advances with the introduction of deep convolutional neural networks, particularly encoder-decoder networks such as
Externí odkaz:
https://doaj.org/article/3d95c93df50a4f7085d063f6390a9730
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 2, Iss 1, Pp 129-138 (2022)
Fractography is a practical method of determining the cause of a mechanical-structure failure. Accurate decisions regarding fracture-mode classification require experience and knowledge, which may be difficult to share. Therefore, a database of fract
Externí odkaz:
https://doaj.org/article/6b39359b9223445c9885cf62f58ded2e
Autor:
Ryo Murakami, Hideki Yoshikawa, Kenji Nagata, Hiroshi Shinotsuka, Hiromi Tanaka, Takeshi Iizuka, Hayaru Shouno
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 2, Iss 1, Pp 91-105 (2022)
There is an urgent need to develop automatic analysis methods for the large number of X-ray photoelectron spectroscopy (×PS) spectra being obtained by methods such as 3D chemical analysis and operand analysis. In a previous study, we developed an au
Externí odkaz:
https://doaj.org/article/6b505ac91c0943519c642f15609f545b
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 2, Iss 1, Pp 139-152 (2022)
The estimation of parameters for the magnetic domain (i.e. magnetic domain parameters) based on their time evolution patterns created by magnetic spins is necessary in the development of magnetic materials. In this study, we develop a method for the
Externí odkaz:
https://doaj.org/article/f195f83df7534159a83484de52219fbd
Autor:
Taiyo Mineo, Hayaru Shouno
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2022, Iss 1, Pp 1-15 (2022)
Abstract In lossless audio compression, the predictive residuals must remain sparse when entropy coding is applied. The sign algorithm (SA) is a conventional method for minimizing the magnitudes of residuals; however, this approach yields poor conver
Externí odkaz:
https://doaj.org/article/1c9bcef6c99b411aa5518d8d14f9ef20
Autor:
Tahir Hussain, Hayaru Shouno
Publikováno v:
Information, Vol 14, Iss 12, p 642 (2023)
Brain tumors (BT) present a considerable global health concern because of their high mortality rates across diverse age groups. A delay in diagnosing BT can lead to death. Therefore, a timely and accurate diagnosis through magnetic resonance imaging
Externí odkaz:
https://doaj.org/article/443b5845c0de4617a3f9e7d119122774
Publikováno v:
IEEE Access, Vol 10, Pp 68384-68396 (2022)
Anti-aliased convolutional neural networks (CNNs) are models that introduce blur filters to intermediate representations of CNNs to achieve high accuracy in image recognition tasks. A promising way to prepare a new anti-aliased CNN is to introduce bl
Externí odkaz:
https://doaj.org/article/3bab8b0257b04c7f9210a8cea95f5216