Results 51 to 60 of about 1,320 (180)
Coefficients of chromatic polynomials and tension polynomials
We evaluate coefficients of chromatic polynomial of a graph G as sums of zero values of tension polynomials of certain "maximal" subgraphs of G.
Martin Kochol, Nad'a Krivonáková
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This study offers insights into colour measurement for skin tone evaluation, demonstrating the value of using a ColorChecker and colour calibration to ensure reliable and accurate skin tone measurements. Abstract Background Skin colour measurement is common and essential to clinical evaluation, especially for product efficacy evaluation and research on
Wenyang Wang +4 more
wiley +1 more source
The chromatic sum of a graph: history and recent developments
The chromatic sum of a graph is the smallest sum of colors among all proper colorings with natural numbers. The strength of a graph is the minimum number of colors necessary to obtain its chromatic sum.
Ewa Kubicka
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New bounds for chromatic polynomials and chromatic roots
If $G$ is a $k$-chromatic graph of order $n$ then it is known that the chromatic polynomial of $G$, $π(G,x)$, is at most $x(x-1)\cdots (x-(k-1))x^{n-k} = (x)_{\downarrow k}x^{n-k}$ for every $x\in \mathbb{N}$. We improve here this bound by showing that \[ π(G,x) \leq (x)_{\downarrow k} (x-1)^{Δ(G)-k+1} x^{n-1-Δ(G)}\] for every $x\in \mathbb{N},$ where $
Jason I. Brown, Aysel Erey
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A systematic color correction pipeline for controlled‐environment imaging
ABSTRACT We present a stepwise color correction (CC) pipeline for controlled imaging environments. The workflow integrates flat‐field correction (FFC), gamma correction, and white‐balance correction, followed by a color‐mapping (CM) stage using machine‐learning regression—linear, partial least squares, and neural networks (NNs)—to deliver reliable CC ...
Collins Wakholi +7 more
wiley +1 more source
Portable NIRS combined with machine learning enabled rapid and accurate authentication of cattle and buffalo meat. Optimized models (XGBoost, CNN) achieved > 98% accuracy, while SHAP revealed key spectral regions. This dual approach offers a field‐ready, reagent‐free tool for fraud prevention and traceability. ABSTRACT Ensuring the authenticity of high‐
Dip Ghosh, Raad Al Deen, Md. Abul Hashem
wiley +1 more source
Cubical coloring — fractional covering by cuts and semidefinite programming [PDF]
We introduce a new graph parameter that measures fractional covering of a graph by cuts. Besides being interesting in its own right, it is useful for study of homomorphisms and tension-continuous mappings.
Robert Šámal
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Skin Impression Modeling Across Different Skin Types Under Different Scenes
How do Chinese perceive skin color of different ethnic groups under different shooting and viewing conditions (i.e., illuminance levels, CCTs, scenes and model‐observer familiarity)? ABSTRACT This paper presents a comprehensive study investigating how facial skin colors influence various impressions across different ethnicities and under different ...
Beijia Qin +2 more
wiley +1 more source
Background Chromatic polynomials are fundamental algebraic invariants in graph theory, linking structural properties of graphs with algebraic and enumerative information.
Sarah M. Talab, Nabeel E. Arif
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Connections between the matching and chromatic polynomials
The main results established are (i) a connection between the matching and chromatic polynomials and (ii) a formula for the matching polynomial of a general complement of a subgraph of a graph.
E. J. Farrell, Earl Glen Whitehead
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