Explainable scale distillation for hyperspectral image classification

C Shi, L Fang, Z Lv, M Zhao - Pattern Recognition, 2022 - Elsevier
The land-covers within an observed remote sensing scene are usually of different scales;
therefore, the ensemble of multi-scale information is a commonly used strategy to achieve …

Multi-fidelity machine learning models for structure–property mapping of organic electronics

CH Yang, BSS Pokuri, XY Lee, S Balakrishnan… - Computational Materials …, 2022 - Elsevier
Abstract Machine learning approaches have been used with significant success in
constructing, curating, and exploring relationships between microstructure and property …

Implementation of Machine Learning for Text Classification Using the Naive Bayes Algorithm in Academic Information Systems at Sebelas Maret University Indonesia

MH Humaidi, S Sutrisno… - E3S Web of …, 2023 - e3s-conferences.org
This study implements machine learning using the Naive Bayes algorithm to create a text
classification in an engineering professional program information system. The methods used …

Data efficient assimilation of multi fidelity information

S Balakrishnan - 2020 - search.proquest.com
Using deep learning for accelerated material discovery applications has been widely
explored by many researches. Generating high fidelity data for material science applications …

Physics-constrained deterministic solution of time-dependent partial differential equations using deep convolutional encoder-decoders

S Ghosal - 2019 - search.proquest.com
Pattern recognition has its origins in engineering while machine learning developed from
computer science. Today, artificial intelligence (AI) is a booming field with many practical …