Results 71 to 80 of about 208,576 (353)

7‐Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing

open access: yesAdvanced Electronic Materials, EarlyView.
Low‐dimensional 7‐methyquinolinium iodobismuthate on a silicon substrate with one input and 15 output gold electrodes as a physical reservoir devices is applied, for MNIST digit classification with 82.26% accuracy and voice classification for digit 2 for six different people with 82 % accuracy.
Gisya Abdi   +7 more
wiley   +1 more source

The Hausdorff dimension and exact Hausdorff measure of random recursive sets with overlapping

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2002
We weaken the open set condition and define a finite intersection property in the construction of the random recursive sets. We prove that this larger class of random sets are fractals in the sense of Taylor, and give conditions when these sets have ...
Hongwen Guo, Dihe Hu
doaj   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

open access: yesAdvanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features

open access: yesAdvanced Intelligent Discovery, EarlyView.
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar   +3 more
wiley   +1 more source

Generating irregular fractals based on iterated function systems

open access: yesAIMS Mathematics
The iterated function system (IFS) is important in different fields like image compression. An important feature of such systems is that they can be used to generate fractals.
Baoxing Zhang   +2 more
doaj   +1 more source

Forgotten fractals [PDF]

open access: yesThe Mathematical Intelligencer, 1996
Der Artikel berichtet über die Arbeit des Oxforder Mathematikers Henry Smith (1826-1883) über Fraktale. Dieser beschäftigte sich als einer der ersten mit deren rekursiver Konstruktion.
openaire   +3 more sources

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

Exploring the nexus between thermodynamic phase transitions and geometric fractals through systematic lattice point classification

open access: yesAIP Advances
Fractals are ubiquitous in the natural world, and their connection with phase transitions has been widely observed. This study investigates mechanisms of fractal formation from the perspective of phase transitions.
Yonglong Ding
doaj   +1 more source

Fractal Surfaces

open access: yesJournal of Mathematical Analysis and Applications, 1990
Publisher Summary This chapter discusses IRm -valued multivariate continuous fractal functions and some of their properties. It presents tensor product fractal surfaces and the way tensor product can be used to obtain fractal-like surfaces from univariate IR-valued continuous fractal functions.
openaire   +3 more sources

Highly Efficient Classification of Time‐Series Based on Resistive Switching Cluster‐Assembled Materials

open access: yesAdvanced Intelligent Systems, EarlyView.
Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo   +5 more
wiley   +1 more source

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