Results 71 to 80 of about 17,310 (258)

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

Automated optical inspection and image analysis of superconducting radio-frequency cavities [PDF]

open access: yesJournal of Instrumentation, 2017
The inner surface of superconducting cavities plays a crucial role to achieve highest accelerating fields and low losses. For an investigation of this inner surface of more than 100 cavities within the cavity fabrication for the European XFEL and the ILC HiGrade Research Project, an optical inspection robot OBACHT was constructed. To analyze up to 2325
openaire   +4 more sources

The Evolution of Aerosol Jet Printing, A Review: Enhancing Material Versatility and Improvements for Next‐Generation Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee   +2 more
wiley   +1 more source

DESCRIPTION AND OPTIMIZATION OF AN SMD PRODUCTION LINE: PROCESSES, THERMAL CONTROL AND AUTOMATED INSPECTION

open access: yesNonconventional Technologies Review
The SMD (Surface-Mount Devices) production lines are essential infrastructures in modern electronics manufacturing, due to their flexibility and high level of automation.
Erdodi Geza   +2 more
doaj  

Harnessing Ultrafast Optical Pulses for 3D Microfabrication by Selective Tweezing and Immobilization of Colloidal Particles in an Integrated System

open access: yesAdvanced Photonics Research, Volume 6, Issue 5, May 2025.
Microfabrication using nano‐ to micron‐sized blocks has transformative potential for next‐gen electronics, optoelectronics, and materials. Traditional methods are limited by scalability and precision. STIC, a single‐laser system for precise colloid manipulation and immobilization using femtosecond lasers, is introduced that enables efficient 3D ...
Krishangi Krishna   +4 more
wiley   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

open access: yesAdvanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday   +3 more
wiley   +1 more source

Application of Artificial Intelligence to Improve Chip Defect Detection Using Semiconductor Equipment

open access: yesEngineering Proceedings
We investigated the application of artificial intelligence (AI) technology for the inspection of semiconductor process equipment to address key issues such as low production efficiency and high equipment failure rates.
Chung-Jen Fu   +2 more
doaj   +1 more source

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

open access: yesAdvanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu   +5 more
wiley   +1 more source

Investigating Epistemic Uncertainty in PCB Defect Detection: A Comparative Study Using Monte Carlo Dropout

open access: yesJournal of Experimental and Theoretical Analyses
Deep learning models have become central to automated Printed Circuit Board (PCB) defect detection. However, recent work has raised concerns about how reliably these models express confidence in their predictions, particularly when deployed in safety ...
Efosa Osagie, Rebecca Balasundaram
doaj   +1 more source

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