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IEICE Transactions in Information and Systems - 巻 105 / 号 9

タイトル
著者 巻 号 ページ 年 PKV
BCGL: Binary Classification-Based Graph Layout
Kai YAN, Tiejun ZHAO, Muyun YANG 105 9 1610–1619 2022 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Reduction of Register Pushdown Systems with Freshness Property to Pushdown Systems in LTL Model Checking
Yoshiaki TAKATA, Ryoma SENDA, Hiroyuki SEKI 105 9 1620–1623 2022 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
A Novel Method for Lightning Prediction by Direct Electric Field Measurements at the Ground Using Recurrent Neural Network
Masamoto FUKAWA, Xiaoqi DENG, Shinya IMAI, Taiga HORIGUCHI, Ryo ONO, I ... 105 9 1624–1628 2022 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Exploring Sensor Modalities to Capture User Behaviors for Reading Detection
Md. Rabiul ISLAM, Andrew W. VARGO, Motoi IWATA, Masakazu IWAMURA, Koic ... 105 9 1629–1633 2022 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Fast Gated Recurrent Network for Speech Synthesis
Bima PRIHASTO, Tzu-Chiang TAI, Pao-Chi CHANG, Jia-Ching WANG 105 9 1634–1638 2022 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
A Two-Fold Cross-Validation Training Framework Combined with Meta-Learning for Code-Switching Speech Recognition
Zheying HUANG, Ji XU, Qingwei ZHAO, Pengyuan ZHANG 105 9 1639–1642 2022 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
A novel Adaptive Weighted Transfer Subspace Learning Method for Cross-Database Speech Emotion Recognition
Keke ZHAO, Peng SONG, Shaokai LI, Wenjing ZHANG, Wenming ZHENG 105 9 1643–1646 2022 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Altered Fingerprints Detection Based on Deep Feature Fusion
Chao XU, Yunfeng YAN, Lehangyu YANG, Sheng LI, Guorui FENG 105 9 1647–1651 2022 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
MSFF: A Multi-Scale Feature Fusion Network for Surface Defect Detection of Aluminum Profiles
Lianshan SUN, Jingxue WEI, Hanchao DU, Yongbin ZHANG, Lifeng HE 105 9 1652–1655 2022 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Erratum: A Hybrid Genetic Service Mining Method Based on Trace Clustering Population [IEICE Transactions on Information and Systems Vol.E105.D (2022), No.8 pp.1443-1455]
Yahui TANG, Tong LI, Rui ZHU, Cong LIU, Shuaipeng ZHANG 105 9 1656_e1–None 2022 0.0
平均評価: 0.0 / 5 (0 件のレビュー)