Results 81 to 90 of about 7,080 (311)
A Three-Level Isolated fuzzy controlled AC-DC PFC Power Converter Topology with Reduced Number of Switches [PDF]
M Kanimozhi, S Krishnaveni
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Topological relationships among parts of a digital picture, such as connectedness and surroundedness, play an important role in picture analysis and description. This paper generalizes these concepts to fuzzy subsets, and develops some of their basic properties.
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This work proposes a high‐fidelity, simulation‐driven control framework for robust grid integration of hybrid PV–wind systems using a modular, hierarchical multi‐loop architecture with adaptive decision logic. The framework coordinates power, DC‐link voltage, and grid currents under fast load and generation changes, enabling safe exploration of extreme
Wulfran Fendzi Mbasso +5 more
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Connectedness Degrees in L-Fuzzy Topological Spaces
The notion of separatedness degrees of L-fuzzy subsets is introduced in L-fuzzy topological spaces by means of L-fuzzy closure operators. Furthermore, the notion of connectedness degrees of L-fuzzy subsets is introduced.
Fu-Gui Shi
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Novel Approaches Characterizing Separation in Fuzzy Topology with Quasi-Coincidence
Kamalesh Kumar Lal Karn
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This paper was read at the 8th Panhellenic Logic Symposium, July 4-8, 2011, Ioannina ...
Syropoulos, Apostolos, de Paiva, Valeria
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Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters
Drilling detection test platform. ABSTRACT During roadway excavation, the presence of weak interlayers and fractured rock masses significantly affects roof stability. To achieve timely and effective roadway support, it is crucial to identify and predict different rock types based on drilling signals from roof bolters.
Qiang Zhu +4 more
wiley +1 more source
On Diminishing Fuzzy Neutrosophic Topological Spaces over Nano Topology [PDF]
As an extension and also, a necessity to compute the indeterminacy, the concept of diminishing fuzzy sets is protracted to introduce the conception of diminishing fuzzy (single-valued) neutrosophic sets in the standard unit interval.
Jansirani N, Vasugi T, Kamal Nasir V
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Deep Learning Integration in Optical Microscopy: Advancements and Applications
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
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