Results 21 to 30 of about 9,739 (247)
A blind and high-capacity data hiding of DICOM medical images based on fuzzification concepts
, 2021 Data hiding technique using steganography prospered widely due to its high un-detectability, flexibility to the size of hidden data, and robustness against compression and other image processes.
A. Elhadad, A. Ghareeb, Safia Abbas
semanticscholar +1 more source
Journal of Physics, Conference Series, 2021 De-i-fuzzification is a process of converting the intuitionistic fuzzy set into a fuzzy set. It becomes one of the core procedures in fuzzy time series forecasting model based on the intuitionistic fuzzy set. In this paper, we propose a fuzzy time series
N. Alam, N. Ramli, A. Mohd
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Entropy, 2021 Software estimation involves meeting a huge number of different requirements, such as resource allocation, cost estimation, effort estimation, time estimation, and the changing demands of software product customers.
Nevena Rankovic +3 more
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Three de-intuitionistic fuzzification procedures over circular intuitionistic fuzzy sets [PDF]
, 2023 Circular Intuitionistic Fuzzy Sets (CIFS) are one of the newest extensions of the intuitionistic fuzzy sets.
Lilija C. Atanassova
core +2 more sources
Fuzzy Mapped Histogram Equalization Method for Contrast Enhancement of Remotely Sensed Images
IEEE Access, 2020 Histogram equalisation (HE) is a widely used image contrast enhancement technique which is less computationally complex, but it fails to preserve the brightness and natural appearance of the remotely sensed images.
Mohammad Farhan Khan +3 more
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Entropy, 2023 Relevant attribute selection in machine learning is a key aspect aimed at simplifying the problem, reducing its dimensionality, and consequently accelerating computation.
Wiesław Paja
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The advanced defuzzification methods of the convex α – cut fuzzy sets [PDF]
E3S Web of Conferences, 2023 The main features of the fuzzy sets and their corresponding membership functions were presented in terms of the fuzzification process and further by the de-fuzzification operation.
Gadjiev Djavanshir +2 more
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Clustering based Privacy Preserving of Big Data using Fuzzification and Anonymization Operation [PDF]
International Journal of Advanced Computer Science and Applications, 2020 Big Data is used by data miner for analysis purpose which may contain sensitive information. During the procedures it raises certain privacy challenges for researchers.
S. Khan +5 more
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A Dimension Reduction Framework for HSI Classification Using Fuzzy and Kernel NFLE Transformation
Remote Sensing, 2015 In this paper, a general nearest feature line (NFL) embedding (NFLE) transformation called fuzzy-kernel NFLE (FKNFLE) is proposed for hyperspectral image (HSI) classification in which kernelization and fuzzification are simultaneously considered.
Ying-Nong Chen +4 more
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Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector [PDF]
Knowledge-Based Systems, 2020 Information granules have been considered to be the fundamental constructs of Granular Computing (GrC). As a useful unsupervised learning technique, Fuzzy C-Means (FCM) is one of the most frequently used methods to construct information granules. The FCM-
Kaijie Xu, W. Pedrycz, Zhiwu Li
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