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This work introduces a low‐loss diffractive neural network, fabricated using an imprinting technique with parowax material, for recognizing and manipulating the topological charge of orbital angular momentum (OAM) waves. It is also demonstrated that the low‐loss diffractive network can perform mathematical operations based on the topological charges of
Wei Jia+4 more
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Enhancing IoT security with a DNA-based lightweight cryptography system. [PDF]
Aqeel S+4 more
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Some Open Mathematical Problems on Fullerenes. [PDF]
Bille A, Buchstaber V, Spodarev E.
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A novel Chua's based 2-D chaotic system and its performance analysis in cryptography. [PDF]
Rasappan S+5 more
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Molecular hydrogen in the N-doped LuH3 system as a possible path to superconductivity. [PDF]
Tresca C+6 more
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Network topology and entropy analysis of tetragonal farneseite zeolites. [PDF]
Jacob K+4 more
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Numerical investigation of singularly perturbed time lag parabolic differential-difference equations. [PDF]
Daba IT, Melesse WG, Gelu FW, Kebede GD.
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Recognition of ambiguous mathematical characters within mathematical expressions [PDF]
Resolving ambiguity within mathematical symbols is essential for recognition of mathematical expressions. In this paper, we focus on the resolving ambiguities in mathematical symbols and propose a novel recognition technique that has been tested over large number of ambiguous mathematical symbols obtained from different categories including factoring ...
Shrikant Mapari+2 more
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Implementation of JSIT Curriculum-Based Mathematics Learning in Forming Students Character
, 2021This study aims to describe the teaching of mathematics based on the JSIT curriculum as well as to describe the character of students in its implementation. The research focus is SMP IT Arrozaq.
Tika Hildani, Islamiani Safitri
semanticscholar +1 more source
Character Recognition Using Mathematical Morphology
2007 International Conference on Electrical Engineering, 2007The automatic recognition of characters dates back to several decades, the reason being the large diversity of applications which make valuable use of recognition techniques. This paper proposes the recognition of a set of handwritten digits using mathematical morphology. Certain features that can be used to clearly distinguish one digit from the other
S.A. Husain, Fatimah Mohammad
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