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Plant Leaf Recognition Using a Convolution Neural Network
Wang-Su Jeon, and Sang-Yong Rhee
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Deep Neural Network Self-training Based on Unsupervised Learning and Dropout
Hye-Woo Lee, Noo-ri Kim, and Jee-Hyong Lee
Int. J. Fuzzy Log. Intell. Syst. 2017; 17(1): 1-9 https://doi.org/10.5391/IJFIS.2017.17.1.1*Keywords : Neural network, Pre-training, Semi-supervised learning, Self-training, Dropout
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On Separability of Fuzzy Relations
Przemyslaw Grzegorzewski
Int. J. Fuzzy Log. Intell. Syst. 2017; 17(3): 137-144 https://doi.org/10.5391/IJFIS.2017.17.3.137*Keywords : Fuzzy relation, Noninteractive fuzzy relation, Separable fuzzy relation, Connected/disconnected variables
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Design of Fuzzy-PID Controller for Path Tracking of Mobile Robot with Differential Drive
Do Khac Tiep, Kinam Lee, Dae-Yeong Im, Bongwoo Kwak, and Young-Jae Ryoo
International Journal of Fuzzy Logic and Intelligent Systems 2018; 18(3): 220-228 https://doi.org/10.5391/IJFIS.2018.18.3.220*Keywords : Differential drive, Mobile robot, Path tracking, Fuzzy-PID controller, MATLAB/Simulink
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Development of Automatic Ship Berthing System Using Artificial Neural Network and Distance Measurement System
Van-Suong Nguyen, Van-Cuong Do;, and Nam-Kyun Im
Int. J. Fuzzy Log. Intell. Syst. 2018; 18(1): 41-49 https://doi.org/10.5391/IJFIS.2018.18.1.41*Keywords : Artificial neural network (ANN), Automatic ship berthing, Distance measurement system, Real ports, Numerical simulations
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Gaussian-Based SMOTE Algorithm for Solving Skewed Class Distributions
Hansoo Lee, Jonggeun Kim, and Sungshin Kim
Int. J. Fuzzy Log. Intell. Syst. 2017; 17(4): 229-234 https://doi.org/10.5391/IJFIS.2017.17.4.229*Keywords : Skewed class distribution, SMOTE, Gaussian random variable, Classification
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Domestic Cat Sound Classification Using Transfer Learning
Yagya Raj Pandeya, and Joonwhoan Lee
Int. J. Fuzzy Log. Intell. Syst. 2018; 18(2): 154-160 https://doi.org/10.5391/IJFIS.2018.18.2.154*Keywords : Labeled dataset, Transfer learning, Ensemble method, Data augmentation
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Comparison of Position Control of a Gyroscopic Inverted Pendulum Using PID, Fuzzy Logic and Fuzzy PID controllers
Mohammed Rabah, Ali Rohan, and Sung-Ho Kim
Int. J. Fuzzy Log. Intell. Syst. 2018; 18(2): 103-110 https://doi.org/10.5391/IJFIS.2018.18.2.103*Keywords : Gyroscopic inverted pendulum, Fuzzy logic, PID, Fuzzy PID, MATLAB/Simulink
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Fingerprint Pattern Classification Using Convolution Neural Network
Wang-Su Jeon, and Sang-Yong Rhee
Int. J. Fuzzy Log. Intell. Syst. 2017; 17(3): 170-176 https://doi.org/10.5391/IJFIS.2017.17.3.170*Keywords : Fingerprint recognition, Fingerpirnt classification, Batch normalization, Ensemble, CNN
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Original Article10
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Detection of Structural Breaks in Time Series Using Fuzzy Techniques
Vilém Novák
Int. J. Fuzzy Log. Intell. Syst. 2018; 18(1): 1-12 https://doi.org/10.5391/IJFIS.2018.18.1.1*Keywords : Fuzzy transform, F-transform, Evaluative linguistic expressions, Fuzzy natural logic
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June 25, 2021 eISSN 2093-744X
pISSN 1598-2645
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DNN based Classification of ADHD fMRI Data using Functional Connectivity Coefficient
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Neurological Measurement of Human Trust in Automation Using Electroencephalogram
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Data Stream Classification Algorithms for Workload Orchestration in Vehicular Edge Computing: A Comparative Evaluation
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International Journal of Fuzzy Logic and Intelligent Systems 2021;21: 101-122 -
Rice Fungal Diseases Recognition Using Modern Computer Vision Techniques
Igor V. Arinichev, Sergey V. Polyanskikh, Galina V. Volkova, and Irina V. Arinicheva
International Journal of Fuzzy Logic and Intelligent Systems 2021;21: 1-11
