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順位 タイトル
著者 雑誌 巻 号 ページ 年 PKVアクセス数
23581 Intrinsic dimension estimation: Advances and open problems
Francesco Camastra, Antonino Staiano Information Sciences 328 None 26–41 2016 1.0
平均評価: / 5 ( 件のレビュー)
23582 Detecting tampering in audio-visual content using QIM watermarking
Ronaldo Rigoni, Pedro Garcia Freitas, Mylène C.Q. Farias Information Sciences 328 None 127–143 2016 1.0
平均評価: / 5 ( 件のレビュー)
23583 Multiple model predictive control for large envelope flight of hypersonic vehicle systems
Xiangyuan Tao, Ning Li, Shaoyuan Li Information Sciences 328 None 115–126 2016 1.0
平均評価: / 5 ( 件のレビュー)
23584 Obstacles and difficulties for robust benchmark problems: A novel penalty-based robust optimisation method
Seyedali Mirjalili, Andrew Lewis Information Sciences 328 None 485–509 2016 1.0
平均評価: / 5 ( 件のレビュー)
23585 Pre-specified performance based model reduction for time-varying delay systems in fuzzy framework
Yong-Duan Song, Hongying Zhou, Xiaojie Su, Lei Wang Information Sciences 328 None 206–221 2016 1.0
平均評価: / 5 ( 件のレビュー)
23586 A distance-based framework to deal with ordinal and additive inconsistencies for fuzzy reciprocal preference relations
Yejun Xu, Francisco Herrera, Huimin Wang Information Sciences 328 None 189–205 2016 1.0
平均評価: / 5 ( 件のレビュー)
23587 Categorizing events using spatio-temporal and user features from Flickr
Steven Van Canneyt, Steven Schockaert, Bart Dhoedt Information Sciences 328 None 76–96 2016 1.0
平均評価: / 5 ( 件のレビュー)
23588 Distributed finite-time attitude regulation for multiple rigid spacecraft via bounded control
Yingying Cheng, Haibo Du, Yigang He, Ruting Jia Information Sciences 328 None 144–157 2016 1.0
平均評価: / 5 ( 件のレビュー)
23589 Hybrid adaptive fuzzy control for uncertain MIMO nonlinear systems with unknown dead-zones
Yongming Li, Shaocheng Tong Information Sciences 328 None 97–114 2016 1.0
平均評価: / 5 ( 件のレビュー)
23590 Predicting the listing status of Chinese listed companies with multi-class classification models
Ligang Zhou, Kwo Ping Tam, Hamido Fujita Information Sciences 328 None 222–236 2016 1.0
平均評価: / 5 ( 件のレビュー)