Research on Multi-Channel Spectral Prediction Model for Printed Matter Based on HMSSA-BP Neural Network by Dandan Fan, Hongwu Zhan, Fang Xu, Yifei Zou, Yankang Zhang

“…To overcome it, this paper proposes a multi-channel spectral prediction model for printed matter and the adaptive evaluation method based on multi-index fusion. …”
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Adaptation of Conventional Toolpath-Generation Software for Use in Curved-Layer Fused Deposition Modeling by Samuel Maissen, Severin Zürcher, Michael Wüthrich

“…Additionally, compared to other algorithms used in Curved-Layer Fused Deposition Modeling (CLFDM), the changed layer structure introduces a changed visual appearance of parts.…”
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A hybrid spectral prediction model for printed images based on whale-optimized deep neural network by Dongwen Tian, Dongwen Tian, Jinghuan Ge, Na Su

“…In the process of color reproduction, the accurate prediction of color halftone images’ characteristics and the development of a spectral reflectance prediction model are pivotal for print image device characterization and quality control. …”
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Ecological modelling: A computational analysis of air pollution discourses in English print media of India and Pakistan. by Sana Rabbani, Fasih Ahmed

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Improvement of quality of 3D printed objects by elimination of microscopic structural defects in fused deposition modeling. by Evgeniy G Gordeev, Alexey S Galushko, Valentine P Ananikov

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A review on artificial intelligence-enabled mechanical analysis of 3D printed and FEM-modelled auxetic metamaterials by Aman Garg, Anshu Sharma, Weiguang Zheng, Li Li

“…In addition to 3D-printed structures, this review also includes findings from finite element-based models. …”
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An efficient parametric modeling and path planning method for 3D printing of curved surface corrugated sandwich structures by Tan Gui, Zhihong Li, Yongjun Cao, Jianghong Yang, Yingjun Wang

“…Focusing on the characteristics of Fused Deposition Modeling (FDM), the model undergoes preprocessing for two types of path planning, segmenting the sandwich structure for Eulerian Path Printing (EPP) and Eulerian Circuit Printing (ECP). …”
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You Only Look Once v8 Cattle Identification Based on Muzzle Print Pattern Using ORB and Fast Library for Approximate Nearest Neighbor Algorithms by Allan Josef Balderas, Kaila Mae A. Pangilinan, Meo Vincent C. Caya

“…This study aims to develop computer vision techniques to identify cattle based on their unique muzzle print features. The developed method employed the YOLOv8 object detection model to detect the cattle’s muzzle. …”
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Preoperative Planning Using 3D Printing as a Way to Improve the Outcomes of Surgical Treatment for Pilon Fractures by A. B. Koshkin, M. V. Parshikov, S. V. Novikov, A. A. Prokhorov, A. M. Fai

“…The search was performed using the following terms: pilon fractures, osteosynthesis, preoperative planning, 3D-printing, 3D-model, and the corresponding terms in Russian.   …”
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Hybrid inspection of printed board defects by V. V. Vengerenko, A. V. Inyutin

“…A hybrid approach based on the algorithm of comparison with reference and the use of the YOLO family of neural network models for detecting objects is used to solve the problem.Results. …”
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A novel algorithm for streamlined surgeon-dominated patient-specific implant design in computer-assisted jaw reconstruction by Ankit Nayak, Jane Jingya PU, Xingna YU, Yu-Xiong Su

“…Results Implant design time exhibits significant reductions with the proposed algorithm, which optimizes the model files for printing. …”
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Machine learning based multi-parameter droplet optimisation model study by Ting Li, Likun Lu, Qingtao Zeng, Kexin Liao

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ML-Based Materials Evaluation in 3D Printing by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Jakub Kopowski

“…ML algorithms can analyze vast amounts of data from previous printing processes to predict the performance of different materials (including those used in multi-material printing) under different conditions. …”
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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

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A Comparative Study of Machine Learning Techniques for Predicting Mechanical Properties of Fused Deposition Modelling (FDM)-Based 3D-Printed Wood/PLA Biocomposite by Prashant Anerao, Atul Kulkarni, Yashwant Munde, Namrate Kharate

“…This study employs fused deposition modeling (FDM) as the additive manufacturing process and focuses on assessing the mechanical properties (tensile, flexural, and impact) of 3D-printed biocomposite. …”
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Ultra-Low-Cost Radar Cross Section Measurement and Validation Method Using a 3D-Printed Scale Model in a Non-Anechoic Chamber Environment by Cheongmin Lee, Youngjae Yu, Yeong-Hoon Noh, Ilyoung Oh, Jungje Ha, Jong-Gwan Yook

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Optimizing additive manufacturing workflows using model-based systems engineering by Mohamed Amine Daoud, Khadija Bekkay Haouari, Meriem Hayani Mechkouri, Amine Ennawaoui, Hicham El hadraoui, Ilias Naser, Mustapha Ouardouz, Kamal Reklaoui

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Validation Framework for Analyzing Complex Anatomical Structures: Application of L-System Models by Katarzyna Heryan, Jacek Tarasiuk, Janusz Skrzat

“…To address this challenge, we introduce a systematic validation framework utilizing artificially generated renal vascular models. We developed computational models using L-systems and fabricated them via 3D printing. …”
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Large-area OLED substrate printing path planning method based on multi-head GAT imitation learning to solve partitioned integer programming by Jiacong Xiong, Jiankui Chen, Yiqun Li, Xiao Yue, Yu Fu, Zhouping Yin

“…In this paper, a large-area substrate printing planning algorithm based on graph attention networks and integer programming (GIP-LASP) is established. …”
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AI enhancing prefabricated aesthetics and low carbon coupled with 3D printing in chain hotel buildings from multidimensional neural networks by Gangwei Cai, Yin Lou, Feidong Lu

“…Using multidimensional algorithms within machine learning (ML), neural networks (NN), and statistical modeling (SM), this paper analyzes the impact of AI-driven prefabricated room renovations on tourist satisfaction and carbon emissions. …”
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