Machine learning for battery research
Batteries are vital energy storage carriers in industry and in our daily life. There is continued
interest in the developments of batteries with excellent service performance and safety …
interest in the developments of batteries with excellent service performance and safety …
Machine learning in energy storage materials
With its extremely strong capability of data analysis, machine learning has shown versatile
potential in the revolution of the materials research paradigm. Here, taking dielectric …
potential in the revolution of the materials research paradigm. Here, taking dielectric …
Scholarly knowledge graphs through structuring scholarly communication: a review
The necessity for scholarly knowledge mining and management has grown significantly as
academic literature and its linkages to authors produce enormously. Information extraction …
academic literature and its linkages to authors produce enormously. Information extraction …
Mutually reinforced network embedding: An integrated approach to research paper recommendation
With the rapid growth of research publications, it has become time-consuming and
cumbersome for researchers to find research papers relevant to their research. Research …
cumbersome for researchers to find research papers relevant to their research. Research …
Meta-analysis of commercial Pt/C measurements for oxygen reduction reactions via data mining
M Ruan, J Liu, P Song, W Xu - Chinese Journal of Catalysis, 2022 - Elsevier
The rotating disk electrode technique is commonly used for screening and characterizing the
performance of electrocatalysts for the oxygen reduction reaction (ORR). However, a reliable …
performance of electrocatalysts for the oxygen reduction reaction (ORR). However, a reliable …
Research trend prediction in computer science publications: a deep neural network approach
S Taheri, S Aliakbary - Scientometrics, 2022 - Springer
Thousands of research papers are being published every day, and among all these
research works, one of the fastest-growing fields is computer science (CS). Thus, learning …
research works, one of the fastest-growing fields is computer science (CS). Thus, learning …
[PDF][PDF] A three-layered student learning model for prediction of failure risk in online learning
Modelling students' learning behavior has proven to be a fundamental indicator of their
success or failure in online courses. However, many studies ignore properly considering …
success or failure in online courses. However, many studies ignore properly considering …
Exploiting contextual word embedding of authorship and title of articles for discovering citation intent classification
The number of scientific publications is growing exponentially. Research articles cite other
work for various reasons and, therefore, have been studied extensively to associate …
work for various reasons and, therefore, have been studied extensively to associate …
A comparative analysis of data mining methods for weather prediction
M Zeyad, MS Hossain - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
In the field of weather, forecasting is a critical application that has long been considered one
of the world's most difficult scientific and technical issues. Data mining is as the practice of …
of the world's most difficult scientific and technical issues. Data mining is as the practice of …
The significance and impact of winning an academic award: A study of early career academics
Academic award plays an important role in an academic's career, particularly for early
career academics. Previous studies have primarily focused on the impact of awards …
career academics. Previous studies have primarily focused on the impact of awards …