Results 171 to 180 of about 36,864 (314)
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
Determination of Compressive Stress Limits for Tightened Plastic Components up to 3 mm in Bolted Joints Applicable in the Automotive Industry. [PDF]
Murčinková Z +3 more
europepmc +1 more source
Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang +6 more
wiley +1 more source
Recycling of Plastics from Cable Waste from Automotive Industry in Poland as an Approach to the Circular Economy. [PDF]
Czarnecka-Komorowska D +6 more
europepmc +1 more source
Statistical process control and CAQ systems as a tools assuring quality in the automotive industry [PDF]
Łukasz Wiecha, Grzegorz Ćwikła
openalex +1 more source
This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
wiley +1 more source
Validation of risk-based quality control techniques: a case study from the automotive industry. [PDF]
Katona AI.
europepmc +1 more source
Demand Prediction Using a Soft-Computing Approach: A Case Study of Automotive Industry [PDF]
Tomás Eloy Salais-Fierro +3 more
openalex +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source

