A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy by Milan Ding, Sean Z J Lim, Xiaoran Yu, Christian P Clear, Juliet C Pickering

“…Machine Learning: Science and Technology…”
Get full text

Bayesian optimization of hybrid quantum LSTM in a mixed model for precipitation forecasting by Yumin Dong, Huanxin Ding

“…Machine Learning: Science and Technology…”
Get full text

Machine-learning-assisted dual harmonic generation FROG for enhanced ultrafast pulse recovery by Wallace Jaffray, Ziheng Guo, Andrea Di Falco, Marcello Ferrera

“…Machine Learning: Science and Technology…”
Get full text

Region versus query based instance segmentation models: application to the estimation of aggregated TiO2 particles size distribution measured by SEM by Paul Monchot, Loïc Coquelin, Nicolas Fischer

“…Machine Learning: Science and Technology…”
Get full text

Designing precise dynamical steady states in disordered networks by Marc Berneman, Daniel Hexner

“…Machine Learning: Science and Technology…”
Get full text

Graph2Mat: universal graph to matrix conversion for electron density prediction by Pol Febrer, Peter Bjørn Jørgensen, Miguel Pruneda, Alberto García, Pablo Ordejón, Arghya Bhowmik

“…Machine Learning: Science and Technology…”
Get full text

FDDM: unsupervised medical image translation with a frequency-decoupled diffusion model by Yunxiang Li, Hua-Chieh Shao, Xiaoxue Qian, You Zhang

“…Machine Learning: Science and Technology…”
Get full text

Hybrid data-driven and physics-informed regularized learning of cyclic plasticity with neural networks by Stefan Hildebrand, Sandra Klinge

“…Machine Learning: Science and Technology…”
Get full text

Deep learning for structure-preserving universal stable Koopman-inspired embeddings for nonlinear canonical Hamiltonian dynamics by Pawan Goyal, Süleyman Yıldız, Peter Benner

“…Machine Learning: Science and Technology…”
Get full text

Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction by Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu

“…Machine Learning: Science and Technology…”
Get full text

Large-scale gene expression data clustering through incremental ensemble approach by Imran Khan, Abdul Khalique Shaikh, Naresh Adhikari

“…Machine Learning: Science and Technology…”
Get full text

Lattice protein folding with variational annealing by Shoummo A Khandoker, Estelle M Inack, Mohamed Hibat-Allah

“…Machine Learning: Science and Technology…”
Get full text

Enhancing space sensor resilience with transfer learning in data-scarce scenarios by Dileep Kumar, Manuel Domínguez-Pumar, Beatriz Otero-Calviño, Joan Pons-Nin, Josefina Torres, Mercedes Marín, Javier Gómez-Elvira, Luis Mora, Sara Navarro, Jose Rodríguez-Manfredi

“…Machine Learning: Science and Technology…”
Get full text

A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes by Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

“…Machine Learning: Science and Technology…”
Get full text

Maven: a multimodal foundation model for supernova science by Gemma Zhang, Thomas Helfer, Alexander T Gagliano, Siddharth Mishra-Sharma, V Ashley Villar

“…Machine Learning: Science and Technology…”
Get full text

Transfer learning and the early estimation of single-photon source quality using machine learning methods by David Jacob Kedziora, Anna Musiał, Wojciech Rudno-Rudziński, Bogdan Gabrys

“…Machine Learning: Science and Technology…”
Get full text

Tensor tree learns hidden relational structures in data to construct generative models by Kenji Harada, Tsuyoshi Okubo, Naoki Kawashima

“…Machine Learning: Science and Technology…”
Get full text

Interpretable classification of Levantine ceramic thin sections via neural networks by Sara Capriotti, Alessio Devoto, Simone Scardapane, Silvano Mignardi, Laura Medeghini

“…Machine Learning: Science and Technology…”
Get full text

NeuralPDR: neural differential equations as surrogate models for photodissociation regions by Gijs Vermariën, Thomas G Bisbas, Serena Viti, Yue Zhao, Xuefei Tang, Rahul Ravichandran

“…Machine Learning: Science and Technology…”
Get full text

Interpretation of chemical reaction yields with graph neural additive network by Youngchun Kwon, Yongsik Jung, Youn-Suk Choi, Seokho Kang

“…Machine Learning: Science and Technology…”
Get full text