Towards long lifetime battery: AI-based manufacturing and management

K Liu, Z Wei, C Zhang, Y Shang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Technologies that accelerate the delivery of reliable battery-based energy storage will not
only contribute to decarbonization such as transportation electrification, smart grid, but also …

[HTML][HTML] Internet of things for the future of smart agriculture: A comprehensive survey of emerging technologies

O Friha, MA Ferrag, L Shu, L Maglaras… - IEEE/CAA Journal of …, 2021 - ieee-jas.net
This paper presents a comprehensive review of emerging technologies for the internet of
things (IoT)-based smart agriculture. We begin by summarizing the existing surveys and …

Applications of artificial intelligence in water treatment for optimization and automation of adsorption processes: Recent advances and prospects

G Alam, I Ihsanullah, M Naushad… - Chemical Engineering …, 2022 - Elsevier
Artificial intelligence (AI) has emerged as a powerful tool to resolve real-world problems and
has gained tremendous attention due to its applications in various fields. In recent years, AI …

Parallel manufacturing for industrial metaverses: A new paradigm in smart manufacturing

J Yang, X Wang, Y Zhao - IEEE/CAA Journal of Automatica …, 2022 - ieeexplore.ieee.org
Briefing: To tackle the complexity of human and social factors in manufacturing systems,
parallel manufacturing for industrial metaverses is proposed as a new paradigm in smart …

[HTML][HTML] FinTech enablers, use cases, and role of future internet of things

JR Bhat, SA AlQahtani, M Nekovee - … of King Saud University-Computer and …, 2023 - Elsevier
In the current global trend, financial organizations strive extensively towards smartening
finance to derive the benefits of digitalization. In such an effort, Financial Technology …

Complex-valued neural networks: A comprehensive survey

CY Lee, H Hasegawa, S Gao - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared
to their real counter-parts in speech enhancement, image and signal processing …

Sustainability assessment of intelligent manufacturing supported by digital twin

L Li, T Qu, Y Liu, RY Zhong, G Xu, H Sun, Y Gao… - IEEE …, 2020 - ieeexplore.ieee.org
As a major challenge and opportunity for traditional manufacturing, intelligent manufacturing
is facing the needs of sustainable development in future. Sustainability assessment …

Feature analyses and modeling of lithium-ion battery manufacturing based on random forest classification

K Liu, X Hu, H Zhou, L Tong… - IEEE/ASME …, 2021 - ieeexplore.ieee.org
Lithium-ion battery manufacturing is a highly complicated process with strongly coupled
feature interdependencies; a feasible solution that can analyze feature variables within …

Disassembly sequence planning: a survey

X Guo, MC Zhou, A Abusorrah… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
It is well-recognized that obsolete or discarded products can cause serious environmental
pollution if they are poorly be handled. They contain reusable resource that can be recycled …

Digital twin for human-robot interactive welding and welder behavior analysis

Q Wang, W Jiao, P Wang… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
This paper presents an innovative investigation on prototyping a digital twin (DT) as the
platform for human-robot interactive welding and welder behavior analysis. This human …