Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
Advanced Intelligent Systems, EarlyView.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
MTUW-GAN: A Multi-Teacher Knowledge Distillation Generative Adversarial Network for Underwater Image Enhancement [PDF]
Tianchi Zhang, Yuxuan Liu
openalex +1 more source
Multiple Generative Adversarial Networks Analysis for Predicting Photographers' Retouching [PDF]
, 2020 Marc Bickel +2 more
openalex +1 more source
BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
Advanced Intelligent Systems, EarlyView.This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan +7 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley +1 more source
Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks [PDF]
, 2019 Xiaofeng Mao +5 more
openalex +1 more source
Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness
Advanced Intelligent Systems, EarlyView.True random numbers can protect generative artificial intelligence (GAI) models from attacks. A highly parallel, spin‐transfer torque magnetic tunnel junction‐based system is demonstrated that generates high‐quality, energy‐efficient random numbers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
wiley +1 more source
Auto-Encoding Progressive Generative Adversarial Networks for 3D Multi Object Scenes [PDF]
, 2019 Vedant Singh +3 more
openalex +1 more source
Domain Reconstruction for UWB Car Key Localization Using Generative Adversarial Networks
, 2022 Aleksei Kuvshinov +4 more
openalex +2 more sources
A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images
Advanced Intelligent Systems, EarlyView.CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai +4 more
wiley +1 more source