Results 121 to 130 of about 385,070 (322)

GRAPH ENERGY OF THE COPRIME GRAPH ON GENERALIZED QUATERNION GROUP

open access: yesBarekeng
This paper investigates the Degree Square Sum Energy , Degree Exponent Energy , and Degree Exponent Sum Energy  of the coprime graph on generalized quaternion group ​.
Miftahurrahman Miftahurrahman   +3 more
doaj   +1 more source

Parametrizing Del Pezzo surfaces of degree 8 using Lie algebras [PDF]

open access: green, 2005
Willem A. de Graaf   +2 more
openalex   +1 more source

Cognitive Competence and Problem-Solving Involving 1st Degree Algebraic Equations

open access: green, 2022
Yasmini Lais Spindler Sperafico   +2 more
openalex   +1 more source

On the degree of the polynomial defining a planar algebraic curves of constant width

open access: yes, 2013
In this paper, we consider a family of closed planar algebraic curves $\mathcal{C}$ which are given in parametrization form via a trigonometric polynomial $p$.
Bardet, Magali, Bayen, Térence
core   +1 more source

Algebraic groups and small transcendence degree I

open access: yesJournal of Number Theory, 1987
This paper contains many results on algebraic independence of transcendental numbers of the following form: in certain specified sets of numbers (connected with values of exponential or elliptic functions, for instance), at least two elements are algebraically independent. One of the most interesting features of this paper is that all these results are
openaire   +2 more sources

Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar   +5 more
wiley   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang   +4 more
wiley   +1 more source

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