Latest Articles for Manufacturing

This new approach enhances control efficiency by integrating learning and rule compliance.

Learn how outlier detection identifies unique data points across various fields.

Research reveals multiple states at Cu/Pb interface, impacting material properties.

Researchers develop a cost-effective way to manage magnetic properties in silicon-based materials.

A new approach to improve anomaly detection using k-Nearest Neighbors of Neighbors.

This method simplifies design while enhancing manufacturing efficiency.

A new method improves anomaly detection across various datasets using stable density estimation.

Learn how to measure reliability and confidence in small sample tests.

Dense suspensions impact various industries and everyday life.

Learn how innovative control techniques can reduce energy use in various applications.

New methods improve the precision of flexible robotic manipulators.

New tool creates custom passive grippers for various object shapes.

Study reveals how polycrystals respond to stress and the role of defects.

Explore how concept extraction improves AI reliability in manufacturing.

A new system enhances object detection in augmented reality using HoloLens 2.

Hardware IP theft poses risks to the semiconductor industry and global supply chain.

A closer look at the internal structures of solvent-borne adhesives and their impact.

How IIoT and WPDM improve industrial operations and data accuracy.

Enhancing predictive maintenance through better fault detection with calibration methods.

Discover how soft granules adapt when compressed, revealing new insights for various fields.

A novel method to identify image anomalies efficiently without extensive training.

Discover a new automated method for detecting fabric defects efficiently.

New methods improve texture anomaly detection for quality control in manufacturing.

Research aims to improve robots' ability to mold soft materials using depth imaging.

Research shows how tiny particles improve the strength of amorphous solids.

Control robots easily with smartwatches for seamless human-robot interaction.

A look at techniques to improve curvature estimation from noisy point cloud data.

New methods improve defect detection using limited data in industrial products.

Combining peridynamics and gradient elasticity enhances understanding of dislocations in materials.

A new method for forecasting anomalies using advanced deep learning techniques.

A novel approach helps robots avoid obstacles while completing tasks safely.

New methods in material simulation promise cost-effective insights and improved predictions.

A look at how Young's modulus affects metal alloy properties.

A new approach to teaching robots to assemble unfamiliar parts.

Surface roughness significantly influences material wear and durability.

AI streamlines the design process for electric motors, benefiting engineers and customers.

Introducing a model to improve how systems represent and interact with processes and procedures.

A method to identify changes in time series data across various fields.

A look at how brittle materials break under stress and its implications.

Understanding Hardware Trojans and their impact on electronic device security.