Exploring the fresh and rheology properties of 3D printed concrete with fiber reinforced composites (3DP-FRC): a novel approach using machine learning techniques by Risul Islam Rasel, Md Minaz Hossain, Md Hasib Zubayer, Chaoqun Zhang

Subjects: Get full text

DVCW-YOLO for Printed Circuit Board Surface Defect Detection by Pei Shi, Yuyang Zhang, Yunqin Cao, Jiadong Sun, Deji Chen, Liang Kuang

“…The accurate and efficient detection of printed circuit board (PCB) surface defects is crucial to the electronic information manufacturing industry. …”
Get full text

Generating Automatically Print/Scan Textures for Morphing Attack Detection Applications by Juan E. Tapia, Maximilian Russo, Christoph Busch

“…Currently, there are limited datasets available for training the MAD algorithm due to privacy concerns and the challenges of obtaining and processing a large number of printed and scanned images. …”
Get full text

The future of 3D printing in instrumented implantable polymer meta-stents by C. Brosseau, G. Nocchiero, J. Ville

“…Firstly, we examine the benefits of using 3D-printed polymer stents by comparing their characteristics with metallic devices. …”
Get full text

FlexSim-Simulated PCB Assembly Line Optimization Using Deep Q-Network by Jinhao Du, Jabir Mumtaz, Wenxi Zhao, Jian Huang

Subjects: “…printed circuit board…”
Get full text

Optimization of particle swarm for force uniformity of personalized 3D printed insoles by Zhao Jiali, Liu Jinhai, Liu Yuan

“…This study investigates the application of particle swarm optimization (PSO) algorithm in optimizing the force uniformity of personalized 3D-printed insoles, aiming to enhance the comfort and functionality of the insoles. …”
Get full text

Multi-Scale Feature Similarity and Object Detection for Small Printing Defects Detection by Haojie Lou, Yuanlin Zheng, Wenqian Chen, Haiwen Liu

“…It is always a challenging task in the industry to detect the small printing defects under complex background. To address this problem, a defect detection algorithm based on multi-scale feature similarity evaluation and small object defect detection is proposed. …”
Get full text

Search for the optimal size of printed circuit boards for mechanical structures for electronic equipment by A. A. Yefimenko, A. P. Karlangach, S. N. Lazarev

“…The authors present a method, an algorithm and a program, designed to determine the optimal size of printed circuit boards (PCB) of mechanical structures and different kinds of electronic equipment. …”
Get full text

Polarimetric Identification of 3D-Printed Nano Particle Encoded Optical Codes by Kavan Ahmadi, Pedro Latorre-Carmona, Bahram Javidi, Artur Carnicer

“…Recently, this concept was extended to optical codes: we demonstrated that the combined use of optical techniques and machine learning algorithms might be able to distinguish among different classes of samples. …”
Get full text

Swarm-Based Trajectory Generation and Optimization for Stress-Aligned 3D Printing by Xavier Guidetti, Efe C. Balta, and John Lygeros

“…This efficiency, combined with the possibility to tune the trajectory spacing to match the deposition process constraints, makes the potential integration of our approach into existing 3D printing processes seamless. Additionally, the open-hole tensile specimen produced on a conventional fused filament fabrication setup with our algorithm achieves a notable <inline-formula> <tex-math notation="LaTeX">$\approx 10\%$ </tex-math></inline-formula> improvement in specific modulus compared to existing trajectory optimization methods.…”
Get full text

Vectorized building rooftop prints of the Qinghai-Tibetan Plateau and its neighboring regions by Tao Ye, Hongyu Shan, Jidong Wu, Qiang Zhou, Mingfu Ma, Wenzhi Zhao, Ru Ya, Yuan Gao, Lizheng Wu

“…In this study, we generated the first vectorized building rooftop prints of the Qinghai-Tibetan Plateau and its surrounding areas by using high-resolution Google imagery and the building contour extraction algorithm of the AI Earth platform. …”
Get full text

Printed document layout analysis and optical character recognition system based on deep learning by Dong-Lin Li, Shih-Kai Lee, Yin-Ting Liu

“…Abstract This paper proposes a layout analysis and text recognition system for printed documents based on deep learning. Initially, scanned documents or image files are processed using a layout analysis algorithm based on YOLOv4 and YOLOv8 deep learning to identify the positions of titles, text paragraphs, tables, and images within the document. …”
Get full text

Backdoor Defence for Voice Print Recognition Model Based on Speech Enhancement and Weight Pruning by Jiawei Zhu, Lin Chen, Dongwei Xu, Wenhong Zhao

“…Voice print recognition is one of the most mature biometric authentication technologies, and the application of deep neural networks (DNNs) has led to a significant improvement in the accuracy of voice print recognition. …”
Get full text

High-stability electrohydrodynamic inkjet printing based on double closed-loop fuzzy control by Yifang Liu, Yiman Chen, Huangping Yan, Junyu Chen, Huatan Chen, Shufan Li, Xiang Cheng, Gaofeng Zheng

“…In this paper, a double close-loop fuzzy control method based on jet image recognition and micro-current measurement was designed to monitor and control the EHD printing process. A closed-loop control based on the fuzzy control algorithm has been designed to monitor the EHD printing system by taking the feedback information from micro-current and jet image. …”
Get full text

All-printed chip-less wearable neuromorphic system for multimodal physicochemical health monitoring by Yongsuk Choi, Peng Jin, Sanghyun Lee, Yu Song, Roland Yingjie Tay, Gwangmook Kim, Jounghyun Yoo, Hong Han, Jeonghee Yeom, Jeong Ho Cho, Dong-Hwan Kim, Wei Gao

“…By leveraging scalable printing technology, we fabricated artificial synapses that function as both sensors and analog processing units, integrating them alongside printed synaptic nodes into a compact wearable system embedded with a medical diagnostic algorithm for multimodal data processing and decision making. …”
Get full text

Roles of Modeling and Artificial Intelligence in LPBF Metal Print Defect Detection: Critical Review by Scott Wahlquist, Amir Ali

“…Extensive efforts have been made to understand the material properties and printing process parameters of LPBF-printed geometries that trigger defects. …”
Get full text

Randomized comparison of AI enhanced 3D printing and traditional simulations in hepatobiliary surgery by Linqian Li, Shujie Cheng, Jinghua Li, Jihong Yang, Hongguang Wang, Bin Dong, Xiaoping Yin, Hongyun Shi, Shuo Gao, Feng Gu, Zhe Han, Zhi Chen, Jisen Zhao, Quan Zhang, Jie-Zhi Cheng, Yuan Wang, Fengwei Tan, Ke Zhang

“…Abstract We employed a three-phase approach, culminating in a randomized controlled trial, to assess the efficacy of 3D-printed liver models in hepatobiliary surgical planning. …”
Get full text

Lateral shear interferometry for shape accuracy measurements of 3D-printed micro-optics by Zhao Yanqiu, Wang Lunwei, Siegle Leander, Giessen Harald

“…The technique of 3D-printed micro-optics has experienced significant advancements over the last few years [1, 2]. …”
Get full text

Parallel algorithm for calculating the integration. by Ehab Alasadi

“…Analysis and implementation of a parallel algorithm to calculate the integration of the function y=1/e to the x with a specified time interval. …”
Get full text

A Study on Path Planning for Curved Surface UV Printing Robots Based on Reinforcement Learning by Jie Liu, Xianxin Lin, Chengqiang Huang, Zelong Cai, Zhenyong Liu, Minsheng Chen, Zhicong Li

“…In robotic surface UV printing, the irregular shape of the workpiece and frequent curvature changes require the printing robot to maintain the nozzle’s perpendicular orientation to the surface during path planning, which imposes high demands on trajectory accuracy and path smoothness. …”
Get full text