Artificial intelligence applications for industry 4.0: A literature-based study

M Javaid, A Haleem, RP Singh… - Journal of Industrial …, 2022 - World Scientific
Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries
are focusing on improving product consistency, productivity and reducing operating costs …

Forecasting renewable energy generation with machine learning and deep learning: Current advances and future prospects

NE Benti, MD Chaka, AG Semie - Sustainability, 2023 - mdpi.com
This article presents a review of current advances and prospects in the field of forecasting
renewable energy generation using machine learning (ML) and deep learning (DL) …

[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications

M Javaid, A Haleem, RP Singh, R Suman… - International Journal of …, 2022 - Elsevier
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …

Machine learning: Algorithms, real-world applications and research directions

IH Sarker - SN computer science, 2021 - Springer
In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …

Automation and manufacturing of smart materials in Additive Manufacturing technologies using Internet of Things towards the adoption of Industry 4.0

R Ashima, A Haleem, S Bahl, M Javaid… - Materials Today …, 2021 - Elsevier
Mass customization and personalization are the significant implications of Industry 4.0. Even
though additive manufacturing (AM) technologies possess the capability to personalize final …

Explore success factors that impact artificial intelligence adoption on telecom industry in China

H Chen, L Li, Y Chen - Journal of Management Analytics, 2021 - Taylor & Francis
As the core driving force of the new round of informatization development and industrial
revolution, the disruptive achievements of artificial intelligence (AI) are rapidly and …

A deep transfer learning-based convolution neural network model for COVID-19 detection using computed tomography scan images for medical applications

ND Kathamuthu, S Subramaniam, QH Le… - … in Engineering Software, 2023 - Elsevier
Abstract The Coronavirus (COVID-19) has become a critical and extreme epidemic because
of its international dissemination. COVID-19 is the world's most serious health, economic …

Assessment and evaluation of different machine learning algorithms for predicting student performance

YA Alsariera, Y Baashar, G Alkawsi… - Computational …, 2022 - Wiley Online Library
Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …

Improving material quality management and manufacturing organizations system through Industry 4.0 technologies

M Ammar, A Haleem, M Javaid, R Walia… - Materials Today …, 2021 - Elsevier
In these changing times, Industry 4.0 technologies are being adopted in many parts of the
world. These technologies are used to develop smart materials, smart factories, smart …

A review on machine learning strategies for real‐world engineering applications

RH Jhaveri, A Revathi, K Ramana… - Mobile Information …, 2022 - Wiley Online Library
Huge amounts of data are circulating in the digital world in the era of the Industry 5.0
revolution. Machine learning is experiencing success in several sectors such as intelligent …