[HTML][HTML] Industry 4.0 in action: Digitalisation of a continuous process manufacturing for formulated products

D Ntamo, E Lopez-Montero, J Mack, C Omar… - Digital Chemical …, 2022 - Elsevier
The pharmaceutical industry is going through a significant change to adopt smart
manufacturing for more integrated supply chains and improved sustainability. Today's …

[HTML][HTML] Pervasive Augmented Reality to support real-time data monitoring in industrial scenarios: Shop floor visualization evaluation and user study

R Maio, T Araújo, B Marques, A Santos, P Ramalho… - Computers & …, 2024 - Elsevier
Augmented Reality (AR) is a key technology in the transition to Industry 4.0 and smart
manufacturing, gaining reputation in a wide range of industrial fields One promising …

Industry 4.0: Design Principles, Challenges, and Applications

KK Girish, S Kumar, BR Bhowmik - Topics in Artificial …, 2024 - Wiley Online Library
The era of the industrial revolution witnessed the widespread adoption of machines and new
manufacturing processes, which led to increased productivity and economic growth around …

Reflections on visualization research projects in the manufacturing industry

L Cibulski, J Schmidt, W Aigner - IEEE Computer Graphics and …, 2022 - ieeexplore.ieee.org
The rise of Industry 4.0 and cyber-physical systems has led to an abundance of large
amounts of data, particularly in the manufacturing industry. Visualization and visual analytics …

Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions

G Martínez-Arellano, MJ McNally, JC Chaplin… - … Workshop on Service …, 2021 - Springer
The rate of adoption of digital solutions in manufacturing environments remains low despite
the benefits these can bring. This is particularly acute among industrial small and medium …

Defect Detection in Industrial IoT-based Machines: Case of Small Training Dataset

I Kotenko, V Desnitsky… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The paper comprises an approach to detection of material defects in industrial IoT-based
machines on the base of machine learning and visual data analysis. The approach …

[HTML][HTML] Genetic data visualization using literature text-based neural networks: Examples associated with myocardial infarction

J Moon, HF Posada-Quintero, KH Chon - Neural Networks, 2023 - Elsevier
Data visualization is critical to unraveling hidden information from complex and high-
dimensional data. Interpretable visualization methods are critical, especially in the biology …

[PDF][PDF] Relevance of Visualization and Interaction Technologies for Industry 5.0

A Garcia, M Quartulli, IG Olaizola… - Proceedings http://ceur …, 2022 - ceur-ws.org
New synergies between human and Cyber Physical Systems (CPS) are key aspects for
generating collaborators instead of competitors, strengthening the human role of Industry …

Deriving inferences through natural language from structured datasets for asset lifecycle management

S Bhattacharjee, V Pandhare - IFAC-PapersOnLine, 2024 - Elsevier
Industry 4.0 is expected to revolutionize the manufacturing world in terms of improved
decision-making leading to increased value extraction from assets. Yet, since its inception …

Data Visualization Capacity (DVC) Building Tool for Teaching and Learning Data Visualization

IA Mahadalkar, VL Byrd - 2023 IEEE Frontiers in Education …, 2023 - ieeexplore.ieee.org
Contribution: A pedagogical tool for teaching and learning data visualization. Since data
visualization is such an extensive discipline, it is challenging for novice scholars to get …