A review of the trends, evolution, and future research prospects of hydrogen fuel cells–A focus on vehicles

EB Agyekum, F Odoi-Yorke, AA Abbey… - International Journal of …, 2024 - Elsevier
This study assessed the most pertinent themes connected to hydrogen fuel cells and
vehicles through a bibliometric analysis to thoroughly understand hydrogen fuel cell and …

[HTML][HTML] Prediction of hydrogen uptake of metal organic frameworks using explainable machine learning

S Meduri, J Nandanavanam - Energy and AI, 2023 - Elsevier
Metal organic frameworks (MOFs) are considered as potential materials for hydrogen
storage. The hydrogen uptake is influenced by several parameters (eg, temperature …

Data-driven approaches into political orientation and news outlet discrimination: the case of news articles in south korea

J Lee, J Cha, E Park - Telematics and Informatics, 2023 - Elsevier
With the advancement of the internet, the public now has easy access to news from various
media outlets. However, a number of news outlets tend to report their content based on their …

Security risks of global software development life cycle: Industry practitioner's perspective

RA Khan, SU Khan, MA Akbar… - Journal of Software …, 2024 - Wiley Online Library
Software security has become increasingly important because the malicious attack and
other hacker risks of a computer system have grown popularity in the last few years. As a …

Mean Phase Voltages and Duty Cycles Estimation of a Three-Phase Inverter in a Drive System Using Machine Learning Algorithms

N Anđelić, I Lorencin, M Glučina, Z Car - Electronics, 2022 - mdpi.com
To achieve an accurate, efficient, and high dynamic control performance of electric motor
drives, precise phase voltage information is required. However, measuring the phase …

Binary dynamic stochastic search algorithm with support vector regression for feature selection in low-velocity impact localization problem

Q Liu, F Wang, W Xiao, J Cui - Engineering Applications of Artificial …, 2023 - Elsevier
Locating low-velocity impacts (LVIs) on composite plates precisely is necessary. Support
vector regression (SVR) is an effective method in addressing the LVI localization problem …

A data-driven diagnosis scheme based on deep learning toward fault identification of the hydraulic piston pump

Y Zhu, T Zhou, S Tang, S Yuan - Journal of Marine Science and …, 2023 - mdpi.com
The piston pump is the significant source of motive force in a hydraulic transmission system.
Owing to the changeable working conditions and complex structural characteristics, multiple …

EML-PSP: A novel ensemble machine learning-based physical security paradigm using cross-domain ultra-fused feature extraction with hybrid data augmentation …

SA Qureshi, L Hussain, M Rafique, H Sohail… - Expert Systems with …, 2024 - Elsevier
Seismic signals classification has many real-time applications related to monitoring and
collecting information for investigations, public safety, and prevention of security breaches …

A new method based CNN combined with genetic algorithm and support vector machine for COVID-19 detection by analyzing X-ray images

KM Dawood - 2022 - openaccess.altinbas.edu.tr
COVID-19 is an infectious disease caused by the most recently discovered coronavirus. This
new type of virus and disease was unknown before the outbreak began in Wuhan, China in …

Parameter tuning for software fault prediction with different variants of differential evolution

N Nikravesh, MR Keyvanpour - Expert Systems with Applications, 2024 - Elsevier
The cost of software testing could be reduced if faulty entities were identified prior to the
testing phase, which is possible with software fault prediction (SFP). In most SFP models …