ReviewSensors (Basel, Switzerland)2022
A Review of Multisensor Data Fusion Solutions in Smart Manufacturing: Systems and Trends.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
13 citing papers in PubMed.
- Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.Sensors (Basel, Switzerland) · 2026Article
- Multi-modal data fusion and deep reinforcement learning for dynamic resource scheduling in intelligent manufacturing systems under variable market demand.Scientific reports · 2026Article
- A Real-Time Digital Twin Synchronization Framework for Multi-Sensor Cardiopulmonary Resuscitation Measurement.Sensors (Basel, Switzerland) · 2026Article
- IIoT-Based Remote Monitoring System for Temperature, Current, and Vibration Using PLC and Node-RED in a Data Center Cooling Compressor: A Condition-Based Maintenance Framework.Sensors (Basel, Switzerland) · 2026Article
- Multimodal Sensor Fusion and Temporal Deep Learning for Computer Numerical Control Toolpath and Condition Classification: A Cross-Validated Ablation Study.Sensors (Basel, Switzerland) · 2026Article
- Deep recurrent neural networks for water hammer transient prediction and dynamic protection optimization in long distance pipelines.Scientific reports · 2026Article
- Multimodal sequence dynamics and convergence optimization in dual-stream LSTM networks for complex physiological state estimation.Frontiers in neurorobotics · 2026Article
- Data-Driven Optimization of Discontinuous and Continuous Fiber Composite Processes Using Machine Learning: A Review.Polymers · 2025Review
- An Integrated Multi-Sensor Information System for Real-Time Reservoir Monitoring and Management.Sensors (Basel, Switzerland) · 2025Article
- Effective Techniques for Multimodal Data Fusion: A Comparative Analysis.Sensors (Basel, Switzerland) · 2023Article
- Multiagent-Based Data Presentation Mechanism for Multifaceted Analysis in Network Management Tasks.Sensors (Basel, Switzerland) · 2022Article
- Toward Better Food Security Using Concepts from Industry 5.0.Sensors (Basel, Switzerland) · 2022Review
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Manufacturing companies increasingly become "smarter" as a result of the Industry 4.0 revolution. Multiple sensors are used for industrial monitoring of machines and workers in order to detect events and consequently improve the manufacturing processes, lower the respective costs, and increase safety. Multisensor systems produce big amounts of heterogeneous data. Data fusion techniques address the issue of multimodality by combining data from different sources and improving the results of monitoring systems. The current paper presents a detailed review of state-of-the-art data fusion solutions, on data storage and indexing from various types of sensors, feature engineering, and multimodal data integration. The review aims to serve as a guide for the early stages of an analytic pipeline of manufacturing prognosis. The reviewed literature showed that in fusion and in preprocessing, the methods chosen to be applied in this sector are beyond the state-of-the-art. Existing weaknesses and gaps that lead to future research goals were also identified.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.