Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
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Marine Waste Management: A Framework for Identifying, Prioritizing, and Resolving Key Challenges. [PDF]
Sahoo S, Singhal D, Tripathy S.
europepmc +1 more source
Enhancing smart energy load management in industrial steel production using the fermatean fuzzy FUCA multi-criteria analysis. [PDF]
Zhao D, Jiang M.
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Enhancing travel advisory zones for autonomous vehicles using interval-valued pythagorean fuzzy Yager-based decision-making. [PDF]
Nawaz S, Razaq A, Alhamzi G, Baidar AW.
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Evaluation of disposal techniques for electronic circuit board waste based on fuzzy multi-criteria decision analysis. [PDF]
Ijaz B +6 more
europepmc +1 more source
A bi-objective robust fuzzy programming model to configure a microgrid-based cement supply chain. [PDF]
Tirkolaee EB +3 more
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Deep learning and TOPSIS-based multi-criteria decision-making framework for urban road defect detection and sustainable maintenance planning. [PDF]
Zhong Z, Ren Z.
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Multidimensional fuzzy implications
International Journal of Approximate Reasoning, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Landerson Santiago, Benjamin Bedregal
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FUZZY INCLUSION AND FUZZY SIMILARITY WITH GÖDEL FUZZY IMPLICATOR [PDF]
Fuzzy inclusion and fuzzy similarity are introduced as mappings which produce fuzzy sets constructed with the help of Gödel implicator. The properties of resulting fuzzy sets of inclusion and similarity are studied in detail. Some axiomatic characteristics for being fuzzy orders and fuzzy equivalence relations are also included.
ISMAT BEG, SAMINA ASHRAF
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