Results 131 to 140 of about 487,490 (329)
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
With the increasing demand for highly efficient lighting in the automotive industry, flip-chip light-emitting diodes (LEDs) have become widely used for both interior and exterior lighting.
Seo Yeon Jo +6 more
doaj +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
The EU Factor and Slovak International Integration: the Role of Foreign Direct Investment [PDF]
While the impact of EU conditionalities associated with recent EU-accession negotiations has been widely discussed, little attention has been given to the effect of post-1998 EU reforms on Slovakia's greater integration with the global economy.
Bartolomiej Kaminski, Beata S. Javorcik
core
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
Metalearning‐based inverse optimization enables precise microscale three‐dimensional printing using a DLP system. Distorted structures from conventional printing are analyzed via neural network regression, which predicts optimal exposure time and mask design.
Jae Won Choi +3 more
wiley +1 more source
Design of PWM automotive lights tester
The main purpose of this project is developing a PWM lights tester cheaper than a previous version with Arduino and improvements made. It will be composed of three differentiated blocks, around which the project is structured: previous version, new version and a Pulse-Width Modulation (PWM) lights tester prototype that will be the base for the future ...
openaire +1 more source
ABSTRACT Natural fiber composites offer sustainable alternatives to synthetic materials but need performance enhancement for structural applications. This study investigates the mechanical behavior of jute fiber–reinforced epoxy composites modified with alumina–silica hybrid fillers at varying compositions and loadings.
Devdyuti Mazumder +2 more
wiley +1 more source
French mega-suppliers’ trajectories during the modular era: some evidences on Faurecia, Valeo and Plastic Omnium [PDF]
The purpose of this paper is to present factual elements concerning the rise (decline) of French mega-suppliers. The study will focus on France’s three main mega-suppliers, all actors that have had a stake in carmakers’ modularisation strategies ...
Vincent FRIGANT (GREThA)
core
Innovative Approach to Hydrogen Purification: A Review on the Role of Metal Hydrides
ABSTRACT Metal hydrides, renowned for their unique hydrogen bonding capabilities, have emerged as pivotal materials in the energy sector, particularly for hydrogen storage and purification applications. Their ability to store hydrogen reversibly under moderate conditions has positioned them at the forefront in hydrogen‐based energy systems. This review
T. Mohammed Faheem +4 more
wiley +1 more source

