Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0

JP Usuga Cadavid, S Lamouri, B Grabot… - Journal of Intelligent …, 2020 - Springer
Because of their cross-functional nature in the company, enhancing Production Planning
and Control (PPC) functions can lead to a global improvement of manufacturing systems …

Advanced big-data/machine-learning techniques for optimization and performance enhancement of the heat pipe technology–A review and prospective study

Z Wang, X Zhao, Z Han, L Luo, J **ang, S Zheng, G Liu… - Applied Energy, 2021 - Elsevier
A heat pipe (HP) is a passive heat transfer device able to transmit heat a few meters or
several hundred meters away from the heat source without use of external energy. This …

Blockchain and deep learning technologies for construction equipment security information management

X Pan, B Zhong, D Sheng, X Yuan, Y Wang - Automation in construction, 2022 - Elsevier
Construction equipment security information management (CESIM) is a critical component of
equipment security management. However, equipment-related information's authenticity and …

Metadata Management in Data Lake Environments: A Survey

D Boukraa, M Bala, S Rizzi - Journal of Library Metadata, 2024 - Taylor & Francis
Data lakes are storage repositories that contain large amounts of data in its native format;
either structured ssemi-structured or unstructured, to be used when needed. Data lakes are …

Data science for big data applications and services: data lake management, data analytics and visualization

CK Leung - Big Data Analyses, Services, and Smart Data 6, 2021 - Springer
Huge amounts of useful data are easily generated and gathered currently at a rapid rate
from a broad range of rich data sources in numerous applications and services in the real …

An approach for brain tumour detection based on dual-tree complex Gabor wavelet transform and neural network using Hadoop big data analysis

SK HS, K Karibasappa - Multimedia Tools and Applications, 2022 - Springer
Segmentation and classification of the abnormalities on the brain are necessary to save
one's life; hence the data acquired by magnetic resonance imaging (MR imaging) scan have …

A machine learning based sentient multimedia framework to increase safety at work

G Bonifazi, E Corradini, D Ursino, L Virgili… - Multimedia tools and …, 2022 - Springer
In the last few decades, we have witnessed an increasing focus on safety in the workplace.
ICT has always played a leading role in this context. One ICT sector that is increasingly …

Managing IOS-and social media-enabled knowledge exchange processes: A task–technology fit perspective

T Lu, X Zhang, G Zhuang - Industrial Marketing Management, 2024 - Elsevier
As information and communication technology (ICT) develops, firms increasingly rely on
interorganizational information systems (IOSs) and social media to exchange knowledge …

Personalised exploration graphs on semantic data lakes

A Bagozi, D Bianchini, V De Antonellis, M Garda… - On the Move to …, 2019 - Springer
Recently, organisations operating in the context of Smart Cities are spending time and
resources in turning large amounts of data, collected within heterogeneous sources, into …

Towards a digitally enabled intelligent coal mine integrated energy system: Evolution, conceptualization, and implementation

B Zeng, X Yang, P Hu, Y Wang, H Dong, D Gong… - Sustainable Energy …, 2025 - Elsevier
The consensus on energy-saving and low-carbon goals led to greater requirements for the
sustainable development of coal mines (CMs) worldwide. Against the above backdrop, the …