Cellular Internet of Things: Use cases, technologies, and future work
Abstract The Internet of Things (IoT) has revolutionized how we live and work by connecting
everyday devices to the Internet. As the demand for IoT devices grows, a reliable and …
everyday devices to the Internet. As the demand for IoT devices grows, a reliable and …
Security risk assessment framework for the healthcare industry 5.0
The relevance of Industry 5.0 confirms the collaborative relationship between humans and
machines through an inclusive automation process. The healthcare industry at present is …
machines through an inclusive automation process. The healthcare industry at present is …
Monitoring and predicting the surface generation and surface roughness in ultraprecision machining: A critical review
The aim of manufacturing can be described as achieving the predefined high quality product
in a short delivery time and at a competitive cost. However, it is unfortunately quite …
in a short delivery time and at a competitive cost. However, it is unfortunately quite …
Anomaly detection for internet of things time series data using generative adversarial networks with attention mechanism in smart agriculture
W Cheng, T Ma, X Wang, G Wang - Frontiers in Plant Science, 2022 - frontiersin.org
More recently, smart agriculture has received widespread attention, which is a deep
combination of modern agriculture and the Internet of Things (IoT) technology. To achieve …
combination of modern agriculture and the Internet of Things (IoT) technology. To achieve …
Reviewing energy efficiency and environmental consciousness in the minerals industry Amidst digital transition: A comprehensive review
The mining industry has long grappled with the digital transformation challenge, partly due
to its historically conservative nature. Much of the discourse revolved around selecting …
to its historically conservative nature. Much of the discourse revolved around selecting …
Container stacking optimization based on Deep Reinforcement Learning
X Jin, Z Duan, W Song, Q Li - Engineering Applications of Artificial …, 2023 - Elsevier
Cargo storage is one of the key aspects of the maritime transportation. As the prior site
planning, container stacking has a critical influence on the operation efficiency of the storage …
planning, container stacking has a critical influence on the operation efficiency of the storage …
Defect detection in the textile industry using image-based machine learning methods: a brief review
S Shahrabadi, Y Castilla, M Guevara… - Journal of Physics …, 2022 - iopscience.iop.org
Traditionally, computer vision solutions for detecting elements of interest (eg, defects) are
based on strict context-sensitive implementations to address contained problems with a set …
based on strict context-sensitive implementations to address contained problems with a set …
An efficient DNN splitting scheme for edge-AI enabled smart manufacturing
Abstract Deep Neural Network (DNN)-based IoT solutions are enabling automation in smart
manufacturing. However, the execution of these compute-intensive solutions in real/near …
manufacturing. However, the execution of these compute-intensive solutions in real/near …
Building occupancy detection and localization using CCTV camera and deep learning
S Hu, P Wang, C Hoare… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Occupancy information plays a key role in analyzing and improving building energy
performance. The advances of Internet of Things (IoT) technologies have engendered a shift …
performance. The advances of Internet of Things (IoT) technologies have engendered a shift …
A comprehensive survey on collaborative data-access enablers in the IIoT
The scope of the Industrial Internet of Things (IIoT) has stretched beyond manufacturing to
include energy, healthcare, transportation, and all that tomorrow's smart cities will entail. The …
include energy, healthcare, transportation, and all that tomorrow's smart cities will entail. The …