The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar, and Emerging Sources Citation Index (ESCI).
The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.
Abdul Kareem and Varuna Kumara
International Journal of Fuzzy Logic and Intelligent Systems 2024;24: 30-42 https://doi.org/10.5391/IJFIS.2024.24.1.30Xinzhi Hu, Wang-Su Jeon, Grezgorz Cielniak, and Sang-Yong Rhee
International Journal of Fuzzy Logic and Intelligent Systems 2024;24: 1-9 https://doi.org/10.5391/IJFIS.2024.24.1.1Nishant Chauhan and Byung-Jae Choi
International Journal of Fuzzy Logic and Intelligent Systems 2024;24: 10-18Xinzhi Hu, Wang-Su Jeon, Grezgorz Cielniak, and Sang-Yong Rhee
International Journal of Fuzzy Logic and Intelligent Systems 2024;24: 1-9The structure diagram of UNet.
|@|~(^,^)~|@|The structure diagram of UNet++.
|@|~(^,^)~|@|Structure diagram of CBAM.
|@|~(^,^)~|@|Structure diagram of ATT-NestedUNet.
|@|~(^,^)~|@|Four different depths ATT-NestedUNet structures.
|@|~(^,^)~|@|Farmland information collection robot BoniRob.
|@|~(^,^)~|@|Sample collection and labelingmap, e.g. sugar beet (green) weed (red).
|@|~(^,^)~|@|Example instances from the dataset (a) weeds only, (b) beets only, (c) beets and weeds, (d) soil free of beets and weeds.
|@|~(^,^)~|@|Experiment results with beets only.
|@|~(^,^)~|@|Experiment results with weeds only.
|@|~(^,^)~|@|Background-only experimental results.
|@|~(^,^)~|@|Experiment results with beets, weeds, background.