Results 131 to 140 of about 17,882 (265)

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

Risk factors and co-occurring patterns of low birth weight in Bangladesh: Insights from logistic regression and association rule mining. [PDF]

PLOS Glob Public Health
Salam MA, Islam MM, Karim MR.
europepmc   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Association rule mining of time-based patterns in diabetes-related comorbidities on imbalanced data: a pre- and post-diagnosis study. [PDF]

BMC Med Inform Decis Mak
Bata R, Ghanem AS, Vargáné Faludi E, Sztanek F, Nagy AC.   +4 more
europepmc   +1 more source

Analysis of Acupoints Combination for Cancer-Related Anorexia Based on Association Rule Mining. [PDF]

Evid Based Complement Alternat Med, 2022
Tang Y, Liang Y, Wang X, Deng L.
europepmc   +1 more source

Mining Rare Association Rules

, 2006
In this paper, we address the problem of generating relevant rare association rules. In the literature, this problem has not yet been studied in detail, although rare association rules can also contain important information just as frequent association rules do. Our work is motivated by the long-standing open question of devising an efficient algorithm
Szathmary, Laszlo, Maumus, Sandy, Napoli, Amedeo   +2 more
openaire   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

A food safety targeted sampling decision-making method based on association rule mining and GNNs. [PDF]

NPJ Sci Food
Yu J, Ma X, Zhang X, Cui X, Chen S, Zhao Z.   +5 more
europepmc   +1 more source

Forecasting COVID-19 cases using time series modeling and association rule mining. [PDF]

BMC Med Res Methodol, 2022
Somyanonthanakul R, Warin K, Amasiri W, Mairiang K, Mingmalairak C, Panichkitkosolkul W, Silanun K, Theeramunkong T, Nitikraipot S, Suebnukarn S.   +9 more
europepmc   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source