Machine learning for battery research

Z Wei, Q He, Y Zhao - Journal of Power Sources, 2022 - Elsevier
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 …

Machine learning in energy storage materials

ZH Shen, HX Liu, Y Shen, JM Hu… - Interdisciplinary …, 2022 - Wiley Online Library
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 …

Scholarly knowledge graphs through structuring scholarly communication: a review

S Verma, R Bhatia, S Harit, S Batish - Complex & intelligent systems, 2023 - Springer
The necessity for scholarly knowledge mining and management has grown significantly as
academic literature and its linkages to authors produce enormously. Information extraction …

Mutually reinforced network embedding: An integrated approach to research paper recommendation

X Mei, X Cai, S Xu, W Li, S Pan, L Yang - Expert Systems with Applications, 2022 - Elsevier
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 …

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 …

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 …

[PDF][PDF] A three-layered student learning model for prediction of failure risk in online learning

D Hooshyar, YM Huang, Y Yang - Hum.-Centric Comput. Inf. Sci, 2022 - hcisj.com
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 …

Exploiting contextual word embedding of authorship and title of articles for discovering citation intent classification

M Roman, A Shahid, MI Uddin, Q Hua… - Complexity, 2021 - Wiley Online Library
The number of scientific publications is growing exponentially. Research articles cite other
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 …

The significance and impact of winning an academic award: A study of early career academics

J Ren, Y Shi, A Shatte, X Kong, F **a - … of the 22nd ACM/IEEE Joint …, 2022 - dl.acm.org
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 …