Abstract Hybrid Electric Vehicles (HEVs) have emerged as a viable option for reducing
pollution and attaining fuel savings in addition to reducing emissions. The effectiveness of …

In this paper, the energy loss of the green building is optimized based on the thickness and
lay-up of the Nano-insulation. As different thicknesses and lay-up of the Nano-insulation …

Carbon neutrality and carbon peak are two important measures to control climate change.
They have a huge impact on many companies in the fields of energy, industry, construction …

Machine learning algorithms are revolutionizing processes in all fields including; real-estate,
security, bioinformatics, and the financial industry. The loan approval process is one of the …

With the continuous development of “Internet+ Education”, online learning has become a hot
topic of concern. Decision tree is an important technique for solving classification problems …

In the 21st century, the era of communication and technology, entropy arises as an
application of information theory in safe data transfer, lossless data compression, data …

Conventional lithium-ion cell state analysis methods face challenges in applicability,
efficiency, and convergence for online state evaluation of cells with silicon‑carbon …

Under the background of the new era of economy, the employment and entrepreneurship
education of college students has also ushered in new problems. In the construction of …

It has been recently demonstrated that two machine-learning architectures, reservoir
computing and time-delayed feed-forward neural networks, can be exploited for detecting …

The issues of using fuzzy graphs to formally describe unreliable (uncertain, fuzzy)
information security events for protecting production and technological systems are …