Gotowe bibliografie tematyczne / Cubic Soft Matrices

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  1. Artykuły w czasopismach
  2. Części książek
  3. Streszczenia konferencji

Gotowa bibliografia na temat „Cubic Soft Matrices”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Cubic Soft Matrices"

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V., Chinnadurai, and Barkavi S. "OPERATIONS ON P-ORDER AND R-ORDER OF INTERNAL CUBIC SOFT MATRICES." International Journal of Scientific Research and Modern Education 2, no. 1 (2017): 122–45. https://doi.org/10.5281/zenodo.802932.

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In this paper, we introduce the notion of P-order (R-order) of internal cubic soft matrices. Further, we develop union and intersection of P-order(R-order) of internal cubic soft matrices and their related properties have been investigated.
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V., Chinnadurai, and Barkavi S. "OPERATIONS ON P-ORDER AND R-ORDER OF EXTERNAL CUBIC SOFT MATRICES." International Journal of Current Research and Modern Education 2, no. 1 (2017): 132–55. https://doi.org/10.5281/zenodo.802934.

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In this paper, we introduce the notion of P-order (R-order) of external cubic soft matrices. Further, we develop union and intersection of P-order (R-order) of external cubic soft matrices and their related properties have been investigated.
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V., Chinnadurai, Barkavi S., and Kadalarasi S. "OPERATIONS ON INTERNAL AND EXTERNAL CUBIC SOFT MATRICES." International Journal of Engineering Research and Modern Education 3, no. 1 (2017): 121–31. https://doi.org/10.5281/zenodo.802924.

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Khan, Madad, Saima Anis, and Sohail Iqbal. "Cubic soft matrices with applications in medical diagnosis." Journal of Algebraic Hyperstructures and Logical Algebras 2, no. 3 (2021): 61–72. http://dx.doi.org/10.52547/hatef.jahla.2.3.5.

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., CHINNADURAI, SWAMINATHAN ., BOBIN ., and THILLAIGOVINDAN . "MULTI-CRITERIA DECISION MAKING PROCESS USING CUBIC SOFT MATRICES." Poincare Journal of Analysis and Applications 07, no. 01 (2020): 119–47. http://dx.doi.org/10.46753/pjaa.2020.v07i01.011.

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Shyamsundar, G. "Application of Cubic Transition Matrices and Product Fuzzy Soft Transitionmatrices." Journal of Physics: Conference Series 1377 (November 2019): 012033. http://dx.doi.org/10.1088/1742-6596/1377/1/012033.

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Gulistan, Muhammad, Ismat Beg, and Naveed Yaqoob. "A new approach in decision making problems under the environment of neutrosophic cubic soft matrices." Journal of Intelligent & Fuzzy Systems 36, no. 1 (2019): 295–307. http://dx.doi.org/10.3233/jifs-181296.

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Muhammad Javed Iqbal, Inayatullah Soomro, and Usama Gulzar. "Patterns of Nanoporous Spherical Packing Emerging under Influence of Curvature and Confinement." VFAST Transactions on Mathematics 12, no. 1 (2024): 121–36. http://dx.doi.org/10.21015/vtm.v12i1.1754.

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Nanoporous membranes are popular in nanotechnology due to biomedical and industrial applications. During the past decade, experimental, theoretical and computational research into porous membranes and soft materials has opened up new mathematical dimensions. In bulk, diblock copolymers exhibit ordered morphologies such as parallel matrices of lamellae, bicontinuous matrices of gyroids, hexagonal matrices of cylinders and body-centred cubic matrices of spheres. In melt, confinement plays an essential role in tuning the frustration of the diblock copolymer system to predict more nanostructures.
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Sekhar, Ravi, Nitin Solke, and Pritesh Shah. "Lean Manufacturing Soft Sensors for Automotive Industries." Applied System Innovation 6, no. 1 (2023): 22. http://dx.doi.org/10.3390/asi6010022.

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Lean and flexible manufacturing is a matter of necessity for the automotive industries today. Rising consumer expectations, higher raw material and processing costs, and dynamic market conditions are driving the auto sector to become smarter and agile. This paper presents a machine learning-based soft sensor approach for identification and prediction of lean manufacturing (LM) levels of auto industries based on their performances over multifarious flexibilities such as volume flexibility, routing flexibility, product flexibility, labour flexibility, machine flexibility, and material handling.
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Seco Gudiña, Román, Susana Yáñez Vilar, Manuel González Gómez, et al. "Versatile Mesoporous Nanoparticles for Cell Applications." Journal of Nanoscience and Nanotechnology 21, no. 5 (2021): 2824–33. http://dx.doi.org/10.1166/jnn.2021.19054.

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Mesoporous silica nanostructures are emerging as a promising platform able to deal with challenges of many different applications in fields such as biomedicine and nanotechnology. The versatile physical and functional properties of these materials like high specific surface area, ordered porosity, chemical stability under temperature and pH variations, and biocompatible performance, offers new approaches to many biomedical applications ranging from drug delivery systems to biosensing, cell applications and tissue engineering. Their morphology, size and textural properties can be easily tailore
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Części książek na temat "Cubic Soft Matrices"

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Chinnadurai, V., and S. Madhanraj. "Complex Cubic Picture Fuzzy Soft Matrices." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0185-1_7.

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Streszczenia konferencji na temat "Cubic Soft Matrices"

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Chinnadurai V. and Bobin A. "A novel selection process using combinations of max-min operations in cubic soft matrices." In 1ST INTERNATIONAL CONFERENCE ON MATHEMATICAL TECHNIQUES AND APPLICATIONS: ICMTA2020. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0025212.

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Wilson Espinoza, W. E., and F. R. Fereshteh Rahmani. "Microscale Mechanical Anisotropy of Shale." In 58th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2024. http://dx.doi.org/10.56952/arma-2024-1152.

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ABSTRACT: The hydrocarbon production in the United States, which was dominated by vertical drilling methods, underwent a shift towards combining horizontal and hydraulically fractured wells in 2012. By the end of 2018, horizontal wells accounted for 96% of the natural gas production. Despite such transition, the anisotropic behavior of shale formations remains a challenge affecting borehole integrity, fracture morphology, production rates and hydrocarbon leakage. This study focuses on measuring the microscale mechanical properties (e.g., elastic modulus, hardness, and creep deformation) of sha
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