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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Tactile 3D-printed media interaction with the color surface features of paintings. The case of the Scream (1910?) painting by Petros Ioannis Stavroulakis, Alfonsina Pagano, Beatrice Boracchi, Panagiotis Siozos, Sophia Sotiropoulou, Sophia Sotiropoulou, Emilien Leonhardt, Vincent Sabatier, Giorgio Trumpy, Irina C. A. Sandu

“…A combination of high-resolution imaging and computer vision algorithms was used to identify and separate the color surface features for two areas of the painting. …”
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Neural Network Optimization of Mechanical Properties of ABS-like Photopolymer Utilizing Stereolithography (SLA) 3D Printing by Abdulkader Ali Abdulkader Kadauw

“…The optimization of mechanical properties in acrylonitrile butadiene styrene-like (ABS-like) photopolymer utilizing neural network techniques presents a promising methodology for enhancing the performance and strength of components fabricated through stereolithography (SLA) 3D printing. This approach uses machine learning algorithms to analyze and predict the relationships between various printing parameters and the resulting mechanical properties, thereby allowing the engineering of better materials specifically designed for targeted applications. …”
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Treatment Algorithm for Acute Kidney Injury in Patients with Cirrhosis by Myeong Jun Song

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An Accurate and Reliable Behavioral Modeling Technique for Fully Printed Vanadium Dioxide RF Switches Using Model Ensembling Approach by Saddam Husain, Bagylan Kadirbay, Mohammad Vaseem, Atif Shamim, Mohammad Hashmi

“…It is vital to carefully calibrate the ensembling weights; therefore, an optimization algorithm, namely Tuna Swarm Optimization (TSO), is employed. …”
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Quantum-classical deep learning hybrid architecture with graphene-printed low-cost capacitive sensor for essential tremor detection by Javier Villalba-Díez, Ana González-Marcos

“…Abstract This study presents a novel hardware and software architecture combining capacitive sensors, quantum-inspired algorithms, and deep learning applied to the detection of Essential Tremor. …”
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Fused Space in Architecture via Multi-Material 3D Printing Using Recycled Plastic: Design, Fabrication, and Application by Jiangjing Mao, Lawrence Hsu, Mai Altheeb

“…Given that plastic is a major contributor to ecological imbalance, this research on fused space aims to recycle plastic and use it as a multi-material for building applications, due to its capacity for being 3D printed and fused with other materials. Furthermore, to generate diverse properties for the fused space, several nature-inspired forming algorithms are employed, including Swarm Behavior, Voronoi, Game of Life, and Shortest Path, to shape the building enclosure. …”
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3D‐Printed Titanium Trabecular Scaffolds with Sustained Release of Hypoxia‐Induced Exosomes for Dual‐Mimetic Bone Regeneration by Lincong Luo, Weihan Zheng, Jiaying Li, Tingting Chen, Wanting Xue, Tao Lin, Mingrui Liu, Zi Yan, Jiaxin Yang, Jiamin Li, Jiahao Pu, Yaobin Wu, Konghe Hu, Shiyu Li, Wenhua Huang

“…BTPS is designed using Voronoi algorithms and imaging data, and replicates the geometry and mechanical properties of natural bone. …”
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Research on Quality Prediction for Thermal Printing Using a Particle Swarm Optimization with Back Propagation (PSO-BP) Neural Network by Chun-Ling Ho, Zhiyun Wu, Tung-Chiung Chang, Shenjun Qi

“…To enhance the predictive performance, a PSO algorithm was integrated with the PSO-BP model to refine the parameter selection, which included ambient temperature, printing speed, and printing concentration, with iterative training and validation conducted via the gradient descent algorithm. …”
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Z-Stitching Technique for Improved Mechanical Performance in Fused Filament Fabrication by Ahmed Elsherbiny, Abdullah Mohiuddin, Shirin Dehgahi, Pierre Mertiny, Ahmed Jawad Qureshi

“…A z-stitching algorithm was developed to explain the toolpath and material deposition. …”
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3D-Printed PLA Hollow Microneedles Loaded with Chitosan Nanoparticles for Colorimetric Glucose Detection in Sweat Using Machine Learning by Anastasia Skonta, Myrto G. Bellou, Haralambos Stamatis

“…The Random Sample Consensus algorithm was used to train a simple linear regression model to predict glucose concentrations in unknown samples. …”
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Raw dataset of tensile tests in a 3D-printed nylon reinforced with oriented short carbon fibersMendeley Data by Ênio H. Pires, João V. Barreto Netto, Marcelo L. Ribeiro

“…These data provide valuable insights into the anisotropic mechanical behavior of 3D-printed composites and can be reused for further research on material behavior under varying conditions like multiscale simulations and deep learning algorithms.…”
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Identifying people based on the palm of the hand using the details algorithm by Bashar Abdel Sattar Younis, Maha Abdurrahman Hasso

“…The modified hausdorff distance MHD algorithm is applied  to compare the input templates with database that need to identify or verify persons. …”
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Algorithm for Non-Contact Monitoring of the Performance of Electronic Equipment Elements by A. V. Grinkevich, А. А. Denis, Т. М. Marchuk

“…The types of faults in printed circuit units have been identified and systematized, a classificationof methods for their diagnosis has been made, an algorithm for contactless monitoring of the performance of radioelectronic equipment elements has been developed, and a device structure for its implementation has been proposed.…”
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An investigation of Bayes algorithm and neural networks for identifying the breast cancer by E Udayakumar, S Santhi, P Vetrivelan

“…Methods: With the help of Bayes algorithm and neural networks (NNs), the type of the mammogram and stages is identified. …”
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Machine Learning G-Code Optimization by Héctor Lasluisa-Naranjo, David Rivas-Lalaleo, Joaquín Vaquero-López, Christian Cruz-Moposita

“…This research applies the K-means machine learning clustering algorithm to optimize G-code parameters such as extruder and heated bed temperature, deposition speed, and flow control. …”
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Experimental study on mechanical properties of triaxial geogrid reinforced marine coral sand-clay mixture based on 3D printing technology by Danda Shi, Kaiwei Xu, Zhiming Chao, Zhiming Chao, Peng Cui, Peng Cui

“…This study investigates the effects of 3D-printed triaxial geogrid reinforcement on MCCM through triaxial testing. …”
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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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Parametric Algorithms Used as a Design Tool for Auxetic Structure Development by Ricardo Augusto Palmieri, Silvia Titotto

“…This algorithm generates intricate three-dimensional models amenable to 3D printing technology. …”
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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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