A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…Process variables highly correlated with quality variables are selected using the mRMR algorithm. Simultaneously, the algorithm eliminates redundancy among the selected process variables to simplify the subsequent construction of the fault detection model, enhancing its accuracy. …”
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A Non-Contact AI-Based Approach to Multi-Failure Detection in Avionic Systems by Chengxin Liu, Michele Ferlauto, Haiwen Yuan

“…The increasing electrification and integration of advanced controls in modern aircraft designs have significantly raised the number and complexity of installed printed circuit boards (PCBs), posing new challenges for efficient maintenance and rapid failure detection. …”
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Advanced Methods for Identifying Counterfeit Currency: Using Deep Learning and Machine Learning by Nama'a Hamed, Fadwa Al Azzo

“…Using machine learning algorithms like Random Forest, Decision Tree Classifier, XGBoost, CatBoost, and Support Vector Machine (SVM) in addition to deep learning techniques like Convolutional Neural Networks (CNNs), VGG16, MobileNetV2, and InceptionV3, we examine the security characteristics of Iraqi dinar banknotes and build robust models. …”
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A Review of Generative Design Using Machine Learning for Additive Manufacturing by Parankush Koul

“…Additionally, the emergence of sophisticated predictive models like gradient boosting regression shows how ML can enable better accuracy and robustness of 3D printing operations to achieve quality standards of the outputs. …”
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The use of a three-dimensional mesh in plastic surgery by Rodrigo de Faria Valle Dornelles, Nivaldo Alonso, Luiz Alexandre Lorico Tissiani, Anderson Rodrigo Souza, Lúcia Nocchi Cardim

“…INTRODUCTION: Image recording as we know it today has evolved considerably from the beginning of photography by means of light printing directly onto a photosensitive material, up to the mathematical algorithms that constitute three-dimensional (3-D) meshes in stereophotogrammetry. …”
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An innovative methodology for segmenting vessel like structures using artificial intelligence and image processing by Reynaldo Villarreal, Sindy Chamorro-Solano, Steffen Cantillo, Roberto Pestana-Nobles, Sair Arquez, Yolanda Vega-Sampayo, Leonardo Pacheco-Londoño, Jheifer Paez, Nataly Galan-Freyle, Cristian Ayala, Paola Amar

“…This is achieved by training algorithms to detect specific pixels, thereby recognizing details within images. …”
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High-fidelity pose estimation for real-time extended reality (XR) visualization for cardiac catheterization by Mohsen Annabestani, Sandhya Sriram, Alexandre Caprio, Sepehr Janghorbani, S. Chiu Wong, Alexandros Sigaras, Bobak Mosadegh

“…A computer vision algorithm processes the biplane images in real-time to reconstruct the 3D catheter trajectory represented by any designated number of points along its length. …”
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A psychodiagnostic tool for the structural assessment of the social network in patients with schizophrenia: validity and psychometric properties by A. G. Sofronov, A. E. Dobrovolskaya, A. V. Trusova, I. A. Getmanenko, A. N. Gvozdetckii

“…The new development is based on the social network analysis model elaborated by S. L. Phillips (1981) and translated into Russian by Gurovich I. …”
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MULTI-SENSORY BRANDING AS A TOOL FOR THE FORMATION OF A POSITIVE IMAGE OF THE HIGHER EDUCATION INSTITUTION by Natalya A. Spirina

“…As a methodological basis author uses methods of scientific abstraction, modeling, analysis and synthesis, as well as the method of system analysis. …”
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Cutting guides in mandibular tumor ablation: Are we as accurate as we think? by Omar Suhaym, Loren Moles, Nicholas Callahan

“…Material and Methods: The pre and postoperative 3D models were aligned using an automated surface registration feature based on the iterative closest point algorithm. …”
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Reconstruction of the Intrarenal Vascular Tree From μ-CT Scans of Corrosion Cast Specimens by Katarzyna Heryan

“…The methodology was validated using artificial renal models generated with FractaL-Tree software, 3D printed, <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT scanned, and processed using the proposed pipeline to replicate real-world conditions. …”
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Enhancing Daylight and Energy Efficiency in Hot Climate Regions with a Perforated Shading System Using a Hybrid Approach Considering Different Case Studies by Basma Gaber, Changhong Zhan, Xueying Han, Mohamed Omar, Guanghao Li

“…A hybrid approach integrating parametric modeling, machine learning, multi-criteria decision-making (MCDM), and genetic algorithm (GA) is used to optimize the design incorporating architects’ preferences. …”
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PCES-YOLO: High-Precision PCB Detection via Pre-Convolution Receptive Field Enhancement and Geometry-Perception Feature Fusion by Heqi Yang, Junming Dong, Cancan Wang, Zhida Lian, Hui Chang

“…When compared to YOLOv11s, it increases mAP50 by 1.0% and mAP50–95 by 5.6% while also significantly reducing the model parameters. The performance of PCES-YOLO is also evaluated against mainstream object detection algorithms, including Faster R-CNN, SSD, YOLOv8n, etc. …”
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Pinna anthropometry in sex estimation: a machine learning-based approach by Emre Söylemez, Suna Tokgöz Yılmaz

“…The K-Nearest Neighbor model showed the best success in sex prediction with an accuracy of 0.825 and a ROC value of 0.882. …”
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A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning‐Assisted Diagnosis by Hao Feng, Wenhao Song, Ruyi Li, Linxin Yang, Xiaoxuan Chen, Jiajun Guo, Xuan Liao, Lei Ni, Zhou Zhu, Junyu Chen, Xibo Pei, Yijun Li, Jian Wang

“…Integrated with machine learning algorithm, this fully integrated aligner can also identify and track adverse oral habits that can cause/exacerbate malocclusion, such as lip biting, thumb sucking, and teeth grinding. …”
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Review of Surface-Defect Detection Methods for Industrial Products Based on Machine Vision by Quan Wang, Mengnan Wang, Jiadong Sun, Deji Chen, Pei Shi

“…Machine learning methods are divided into point-distance-based, hyperplane-based, tree-based, and neural network-based classification algorithms. Deep learning models are classified into two types: accuracy-oriented and efficiency-oriented. …”
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Anatomically and Dielectrically Realistic 2.5D 5-Layer Reconfigurable Head Phantom for Testing Microwave Stroke Detection and Classification by Tomas Pokorny, David Vrba, Jan Tesarik, Dario B. Rodrigues, Jan Vrba

“…Molds for casting individual parts of the phantom were printed in 3D. The presented phantom is suitable for the development and testing of microwave systems and algorithms used in the detection and classification of vascular events relevant to stroke diagnosis.…”
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Digital technologies for signal radio vision and radio monitoring by M. S. Kostin, K. A. Boikov

“…The paper sets out to develop methods and algorithms for vector analysis of radio wave deformation of nonstationary fields forming a signal radio image based on radiophysical and topological characteristics of small-sized objects; to develop software and hardware for registration and neural network recognition of signal radio images, including methods for the synthesis and extraction of signal radiogenomes using digital twins of objects obtained through vector electrodynamic modeling; and to analyze signal radio images induced by elements of printed topology of electronic devices.Methods. …”
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Wideband Reflectarray Antennas in the Microwave Range by L. М. Liubina, S. V. Ballandovich, G. A. Kostikov, Yu. G. Antonov

“…The phase error minimization algorithms were adapted to work in the extended frequency range.Results. …”
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3D vector field-guided toolpathing for 3D bioprinting by Meghan Rochelle Griffin, Spencer E. Bertram, Noah P. Robison, Angela Panoskaltsis-Mortari, Ravi Janardan, Michael C. McAlpine

“…DTMRI data from a human left ventricle was used to 3D print fibered models with high accuracy. It is anticipated that NAATIV3 is generalizable beyond the cardiac application demonstrated here. …”
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