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675 results on '"Kato, Shigeru"'

51. Intelligent Automated Guided Vehicle with Reverse Strategy: A Comparison Study

Author

Kato, Shigeru, Wong, Kok Wai, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Köppen, Mario, editor, Kasabov, Nikola, editor, and Coghill, George, editor

Published
2009
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56. Acinar cell carcinoma of the pancreas in childhood

Author

Morikawa, Mitsuhiro, Nakazawa, Toshiyuki, Kato, Shigeru, Fujimoto, Daisuke, Koneri, Kenji, Murakami, Makoto, Hirono, Yasuo, Maeda, Hiroyuki, Goi, Takanori, Katayama, Kanji, Imamura, Yoshiaki, Tanizawa, Akihiko, and Yamaguchi, Akio

Published
2016
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59. Multi-Attribute Utility Theory Decision Analysis for Biodegradable River Debris Composting Treatment in Surakarta City

Author

Sari, Mega Mutiara, primary, Inoue, Takanobu, additional, Harryes, Regil Kentaurus, additional, Yokota, Kuriko, additional, Septiariva, Iva Yenis, additional, Suhardono, Sapta, additional, Kato, Shigeru, additional, Notodarmojo, Suprihanto, additional, Nafisah, Aninda Putri, additional, and Suryawan, I Wayan Koko, additional

Published
2022
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64. Decision Analysis of the Composting Unit at Pluit Emplacement, Jakarta Using the Open Bin, Windrow, and Static Pile Methods for Biodegradable Waste

Author

Sari, Mega Mutiara, primary, Inoue, Takanobu, additional, Harryes, Regil Kentaurus, additional, Yokota, Kuriko, additional, Septiariva, Iva Yenis, additional, Suhardono, Sapta, additional, Kato, Shigeru, additional, Notodarmojo, Suprihanto, additional, Prameswari, Stacia Dea, additional, and Suryawan, I Wayan Koko, additional

Published
2022
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73. Transfer Learning Method for Object Detection Model Using Genetic Algorithm.

Author

Ito, Ryuji, Nobuhara, Hajime, and Kato, Shigeru

Subjects
OBJECT recognition (Computer vision), GENETIC algorithms, GENETIC models, DEEP learning, STANDARD deviations
Abstract

This paper proposes a transfer learning method for an object detection model using a genetic algorithm to solve the difficulty of the conventional transfer learning of deep learning-based object detection models. The genetic algorithm of the proposed method can select the re-learning layers automatically in the transfer learning process instead of a trial-and-error selection of the conventional method. Transfer learning was performed using the EfficientDet-d0 model pre-trained on the COCO dataset and the Global Wheat Head Detection (GWHD) dataset, and experiments were conducted to compare fine-tuning and the proposed method. Using the training data and the validation data of the GWHD, we compare the mean average precision (mAP) of the models trained by the conventional and the proposed methods, respectively, on the test data of the GWHD. It is confirmed that the model trained by the proposed method has higher performance than the model trained by the conventional method. The average of mAP of the proposed method, which automatically selects the re-learning layer (≈0.603), is higher than the average of mAP of the conventional method (≈0.594). Furthermore, the standard deviation of results obtained by the proposed method is smaller than that of the conventional method, and it shows the stable learning process of the proposed method. [ABSTRACT FROM AUTHOR]

Published
2022
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