Minami Tsuchiya , Seung-Il Cho
, Atsushi Tanaka
, Muneki Yasuda
, Tomochika Harada
, and Michio Yokoyama
*Keywords : Neural network model, Temperature, Respiratory frequency, Sleep quality, Environmental, Vital data sensing
Young-In Choi , Jae-Hoon Cho
, and Yong-Tae Kim
*Keywords : Collision avoidance algorithm, Distribution center, Path planning, D* Lite algorithm
Jaesung Park and Changyong Yoon
*Keywords : Desynchronization, Autonomous control, WSN-based data collection
Sung-Min Cho and Byung-Jae Choi
*Keywords : CNN, Image recognition, Walking environment, Cautionary dispersion
*Keywords : Soft set, Soft topology, Soft ω-structure, Soft ω-T0 (ω-T1, ω-T2).
*Keywords : Fuzzy measure, Sugeno integral, Bushell-Okrasinski type inequality
Sang Min Yun and Seok Jong Lee
*Keywords : Intuitionistic fuzzy topology, Intuitionistic fuzzy rough sets
Urtnasan Erdenebayar , Jong-Uk Park
, SooYong Lee
, Eun-Yeon Joo
, and Kyoung-Joung Lee
*Keywords : Periodic limb movement disorder, Convolutional neural network, Deep learning, Electrocardiogram
Seok-Beom Roh , Yong Soo Kim
, and Tae-Chon Ahn
*Keywords : k-nearest neighbors, Locally weighted regression, Weighted least square estimation, Lazy learning, Fuzzy C-means clustering
Norah Ibrahim Fantoukh , Mohamed Maher Ben Ismail
, and Ouiem Bchir
*Keywords : Semi-supervised clustering, Relational data, Fuzzy clustering, Local distance measure learning, Optimal number of clusters
Representation of the learned distance measure for dataset 2. (a) Data is plotted on the original feature space. (b) rescaled data is plotted using
Results of clustering dataset 1 using three different algorithms: (a) true labels, (b) CA, (c) SCAPC, and (d) the proposed approach.
|@|~(^,^)~|@|Results of clustering dataset 2 using three different algorithms: (a) true labels, (b) CA, (c) SCAPC, and (d) the proposed approach.
|@|~(^,^)~|@|Results of clustering dataset 3 using three different algorithms: (a) true labels, (b) CA, (c) SCAPC, and (d) the proposed approach.
|@|~(^,^)~|@|Results of clustering dataset 4 using three different algorithms: (a) true labels, (b) CA, (c) SCAPC, and (d) the proposed approach.
|@|~(^,^)~|@|Performance measures obtained on categorizing synthetic datasets: (a) dataset 1, (b) dataset 2, (c) dataset 3, and (d) dataset 4.
|@|~(^,^)~|@|Performance measures obtained on categorizing real datasets: (a) bankruptcy, (b) seeds, (c) iris, and (d)Wi-Fi localization.