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2020 – today
- 2023
[j9]Kai Matsui, Hikaru Shirai, Yoichi Kageyama
, Hiroshi Yokoyama, Miyuki Asano:
Estimating water quality through neural networks using Terra ASTER data, water depth, and temperature of Lake Hachiroko, Japan. Environ. Model. Softw. 159: 105584 (2023)- [j8]Etsuro Nakamura, Yoichi Kageyama, Satoshi Hirose:
Speech-Section Extraction Using Lip Movement and Voice Information in Japanese. J. Adv. Comput. Intell. Intell. Informatics 27(1): 54-63 (2023) - [c21]Min Zou, Yoichi Kageyama:
Road Curb Detection Based on a Deep Learning Framework. CCWC 2023: 259-262 - 2022
- [j7]Hikaru Shirai, Yoichi Kageyama, Daisuke Nagamoto, Yuki Kanamori, Naoki Tokunaga, Teruo Kojima, Masae Akisawa:
Detection method for Convallaria keiskei colonies in Hokkaido, Japan, by combining CNN and FCM using UAV-based remote sensing data. Ecol. Informatics 69: 101649 (2022) - [j6]Kai Matsui, Yoichi Kageyama:
Water pollution evaluation through fuzzy c-means clustering and neural networks using ALOS AVNIR-2 data and water depth of Lake Hosenko, Japan. Ecol. Informatics 70: 101761 (2022) - [c20]Etsuro Nakamura, Yusuke Honda, Yoichi Kageyama, Satoshi Hirose:
Facial Feature Points for Japanese Speech Content Estimation. LifeTech 2022: 156-157 - [c19]Min Zou, Yoichi Kageyama:
A Deep Color Correction Model for Chicken Meat Images. LifeTech 2022: 594-595 - [c18]Ryota Kikuchi, Yoichi Kageyama, Hikaru Shirai, Chikako Ishizawa, Kenji Suehiro, Nobuaki Takahashi, Hiroki Saito, Takuya Kobayashi, Fumito Watanabe, Hisami Satake, Naoko Sato:
Basic Study on Estimating Emotional Arousal Intervals in the Elderly when Playing eSports. SCIS/ISIS 2022: 1-2 - [c17]Asako Miura, Yoichi Kageyama, Hikaru Shirai, Chikako Ishizawa, Kenji Suehiro, Nobuaki Takahashi, Hiroki Saito, Takuya Kobayashi, Fumito Watanabe, Hisami Satake, Naoko Sato:
Analyzing Facial Skin Temperature in the Elderly while Playing eSports. SCIS/ISIS 2022: 1-2 - [c16]Hikaru Shirai, Narumi Watanabe, Yoichi Kageyama, Isao Ohwada, Harumi Sangawa:
Estimating colors focusing on fabric features of different materials. SCIS/ISIS 2022: 1-2 - 2021
- [j5]Kai Matsui, Hikaru Shirai, Yoichi Kageyama, Hiroshi Yokoyama:
Improving the resolution of UAV-based remote sensing data of water quality of Lake Hachiroko, Japan by neural networks. Ecol. Informatics 62: 101276 (2021) - 2020
- [c15]Miwa Tanaka, Etsuro Nakamura, Yoichi Kageyama, Motonari Shirasu, Masaki Ishii, Makoto Nishida:
Identification of Utterance Content Using Lip Movement Features. LifeTech 2020: 167-168 - [c14]Ryo Kiyokawa, Masaki Ishii, Yoichi Kageyama:
Resetting Threshold Values for Improving Facial Expression Recognition Accuracy. LifeTech 2020: 177-178 - [c13]Etsuro Nakamura, Yoichi Kageyama, Motonari Shirasu:
Speaker Identification Method Using Facial Image and Voice. LifeTech 2020: 411-412 - [c12]Kai Matsui, Hikaru Shirai, Yoichi Kageyama, Hiroshi Yokoyama:
Learning Data Conditions for Resolution Improvement Using UAV Data. SCIS/ISIS 2020: 1-2 - [c11]Etsuro Nakamura, Yoichi Kageyama, Motonari Shirasu:
A Study on Feature Values as a Speaker Identification Method. SCIS/ISIS 2020: 1-2
2010 – 2019
- 2019
- [j4]Shin Totsuka, Yoichi Kageyama, Masato Ishikawa, Bunyu Kobori, Daisuke Nagamoto:
Noise Removal Method for Unmanned Aerial Vehicle Data to Estimate Water Quality of Miharu Dam Reservoir, Japan. J. Adv. Comput. Intell. Intell. Informatics 23(1): 34-41 (2019) - [j3]Kai Matsui, Yoichi Kageyama, Hiroshi Yokoyama:
Analysis of Water Quality Conditions of Lake Hachiroko Using Fuzzy C-Means. J. Adv. Comput. Intell. Intell. Informatics 23(3): 456-464 (2019) - [c10]Yuya Gaman, Masaki Ishii, Yoichi Kageyama, Tsuyoshi Takahashi, Makoto Nishida, Motonari Shirasu:
Adaptive Learning Method in Facial Expression Recognition Model Using Fuzzy-ART. LifeTech 2019: 85-86 - [c9]Etsuro Nakamura, Tsuyoshi Takahashi, Yoichi Kageyama, Masaki Ishii, Makoto Nishida, Motonari Shirasu:
Shadow Removing Method for Lip Shape Extraction Using Feedforward Neural Network. LifeTech 2019: 87-88 - 2016
- [j2]DeJian Wang, Yoichi Kageyama, Makoto Nishida, Hikaru Shirai:
Analysis of Water Quality of Lake Hachiroko in Japan Using a Fuzzy Multiple Regression Model with ALOS AVNIR-2 Data. J. Adv. Comput. Intell. Intell. Informatics 20(6): 992-1003 (2016) - 2015
- [j1]Tatsuki Murakami, Yoichi Kageyama, Makoto Nishida:
Background replacement using chromatic adaptation transform for visual communication. J. Vis. Commun. Image Represent. 30: 242-251 (2015) - [c8]Tsuyoshi Takahashi, Bo Wu, Yoichi Kageyama, Makoto Nishida, Masaki Ishii:
A study of learning data size for automatic face area detection in sequential thermal images. GCCE 2015: 412-413 - 2013
- [c7]Yoichi Kageyama, Atsushi Momose, Makoto Nishida, Tsuyoshi Takahashi, Masaki Ishii:
Relationship between physical conditions and lip motion change arising due to amusement feeling. GCCE 2013: 104-105 - [c6]Tatsuki Murakami, Yoichi Kageyama, Makoto Nishida:
Use of Dichromatic Reflection Model to Estimate the Illuminants of Landscape Images for Background Replacement. SMC 2013: 273-278 - 2011
- [c5]Yoichi Kageyama, Hikaru Shirai, Makoto Nishida:
Feature analysis of groundwater discharge points in coastal regions around Mt. Chokaisan, Japan by using alos palsar data. IGARSS 2011: 4070-4073
2000 – 2009
- 2008
- [c4]Yoichi Kageyama, Yoshiaki Shoji, Makoto Nishida:
Position Estimation Using Texture Information in NOAA-AVHRR Data for Geometric Correction. IGARSS (2) 2008: 1064-1067 - 2007
- [c3]Yoichi Kageyama, Ikuma Sato, Makoto Nishida:
Automatic classification algorithm for NOAA- AVHRR data using mixels. IGARSS 2007: 2040-2043 - 2005
- [c2]Yoichi Kageyama, Makoto Nishida, DeJian Wang:
Automatic land cover classification at sub-pixel scales by using NOAA AVHRR data. IGARSS 2005: 3768-3771 - 2002
- [c1]Yoichi Kageyama, Makoto Nishida, Tomoki Takeda:
Extraction of sea surface temperature in local region from NOAA AVHRR data. IGARSS 2002: 2994-2996
Coauthor Index
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