Kohonen’s algorithm in problems of classification of defects in printed circuit assemblies by S. U. Uvaysov, V. V. Chernoverskaya, An Kuan Dao, Van Tuan Nguyen

“…When developing the method, specialized software tools for design and circuit design were actively used, such as Altium Designer CAD, SolidWorks, NI Multisim, the FloTHERM PCB thermal analysis module, as well as the MATLAB mathematical modeling and calculation package. With the help of these tools, a number of studies were carried out, including sets of numerical values of the power of circuit elements and temperature indicators of the printing unit, both for the correct state of the device and in states with artificially introduced defects. …”
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GESC-YOLO: Improved Lightweight Printed Circuit Board Defect Detection Based Algorithm by Xiangqiang Kong, Guangmin Liu, Yanchen Gao

“…Experimental results demonstrate that, in contrast to the original YOLOv8n model, the GESC-YOLO algorithm boosts the mean Average Precision (mAP) of PCB surface defects by 0.4%, reaching 99%. …”
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Lip Print Recognition Algorithm Based on Convolutional Network by Hongcheng Zhou

“…The obtained lip print image is inputted into the training recognition model of the network to simplify the lip print image preprocessing. …”
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Desing of the algorithm, print and analysis of porous structures with modifiable parameters by Radosław Grabiec, Jacek Tarasiuk, Sebasatian Wroński

“… The purpose of this paper was to create an algorithm able to creating a porous structure with variable properties, print and analyze them. …”
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The algorithm for applying the process maturity model to improve business processes in organization by S. I. Artemyeva, G. S. Kublashvili, A. G. Zaitsev

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COMPUTER- AIDED MODELING AND IMPROVING OF RISOGRAPH PRINTING by P. E. Sulim, V. S. Yudenkov

“…The considered improvement of qualit y of the risofraph print based on a mathematical model in the environment Matlab by using the specialized algorithms and digital filter of the Image Processing Toolbox. …”
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Defects Detection in Screen-Printed Circuits Based on an Enhanced YOLOv8n Algorithm by Xinyu Zhang, Jia Wang, Dan Jiang, Yang Li, Xuewei Wang, Han Zhang

“…To address these challenges, a self-made SPC defect data set and an enhanced CAAB-YOLOv8n detection algorithm were developed. A CAD module was integrated into the backbone network to improve the model’s ability to detect bar-shaped features. …”
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Dimensional Accuracy Analysis of Splined Shafts and Hubs Obtained by Fused-Deposition Modeling 3D Printing Using a Genetic Algorithm and Artificial Neural Network by Alin-Daniel Rizea, Cristina-Florena Banică, Tatiana Georgescu, Alexandru Sover, Daniel-Constantin Anghel

“…Optimized printing parameters improve dimensional accuracy and performance. …”
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Fast Reverse Design of 4D‐Printed Voxelized Composite Structures Using Deep Learning and Evolutionary Algorithm by Mengtao Wang, Zaiyang Liu, Hidemitsu Furukawa, Zhuo Li, Yifei Ge, Yifan Xu, Zhe Qiu, Yang Tian, Zhongkui Wang, Ren Xu, Lin Meng

“…Furthermore, a progressive evolutionary algorithm (PEA) is proposed by integrating the DL model to construct a DL‐PEA framework. …”
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Leveraging Machine Learning for Optimized Mechanical Properties and 3D Printing of PLA/cHAP for Bone Implant by Francis T. Omigbodun, Norman Osa-Uwagboe, Amadi Gabriel Udu, Bankole I. Oladapo

“…Furthermore, this study integrates machine learning techniques to predict the mechanical properties of these composites, employing algorithms such as XGBoost and AdaBoost. The models demonstrated high predictive accuracy, with R² scores of 0.9173 and 0.8772 for compressive and tensile strength, respectively. …”
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Early stage prediction of bone regeneration using FEA and cell differentiation algorithms with 3D-printed PLA and PCL scaffolds: modeling and application to dorsal double-plating in distal radius fractures by Hsuan Chih Liu, Ya-Han Chan, Shao-Fu Huang, Wei-Che Tsai, Yen Cheng, Chun-Li Lin

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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. …”
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Multi objective optimization of FDM 3D printing parameters set via design of experiments and machine learning algorithms by Antonio Panico, Alberto Corvi, Luca Collini, Corrado Sciancalepore

“…Abstract The choice of the optimal printing setup for Fused Deposition Modeling (FDM) 3D-printing technology is challenging due to complex interactions between process parameters and mechanical properties. …”
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Rapid mold optimization based on ultraviolet curing 3D printing technology by Hanyu Rao, Xinyu Bai, Wen Yan, Jie Liu

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

“…However, DNN models can be attacked by backdoor attackers, which poses a serious threat to the security of model for voice print recognition. …”
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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

“…This paper develops and showcases a model ensembling-based accurate, reliable and computer-aided design integrable behavioral modeling technique for emerging fully printed Vanadium dioxide (VO2) based Radio Frequency (RF) switches. …”
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Roles of Modeling and Artificial Intelligence in LPBF Metal Print Defect Detection: Critical Review by Scott Wahlquist, Amir Ali

“…The primary objectives of this article are to introduce the reader to the most widely read published data on (1) the roles of numerical and analytical models in LPBF defect detection; (2) AI algorithms and models applicable to predict LPBF metal defects and causes; and (3) the integration of modeling, AI, and sensing technology, which is commonly used in material characterization and has been proven efficient and applicable to LPBF metal part defect detection over extended periods.…”
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Robust trajectory tracking of a 3D-printed rapid prototyping manipulator through variable gain super-twisting algorithm by Sujian Wu, Jinyuan Hu, Guohua Shi, Jinyu Fan, Yunyao Li

“…The key elements of the proposed controller approach are the inverse dynamics-based controller, tracking differentiator (TD), and the variable gain super-twisting algorithm (VGSTA) controller. The inverse dynamic controller relies on part of the dynamic model information, which reduces the identification cost and decouples the manipulator’s torque input. …”
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Data-Selective Learning Algorithm Using Resonance Parameters Based on Stacked Data Augmentation for Wideband Impedance Prediction of Printed Spiral Coils by Joojoong Kim, Eakhwan Song

“…The model with the proposed data selection and augmentation algorithm demonstrated efficient learning and accurate impedance prediction using approximately 54.4% less training data than a conventional MLP neural network model. …”
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Research on PCB defect detection algorithm based on LPCB-YOLO by Haiyan Zhang, Haiyan Zhang, Yazhou Li, Yazhou Li, Dipu Md Sharid Kayes, Dipu Md Sharid Kayes, Zhaoyu Song, Zhaoyu Song, Yuanyuan Wang, Yuanyuan Wang

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