STEEL-3dPointClouds: dataset supporting quantification of residual life and reusability of steel beam-columns by Tianyu Gu, Nenad Bijelić, Isinsu Katircioglu, Guillaume Obozinski, Dimitrios G. Lignos

“…Each of the  ~ 323k samples is a unique point extracted from the hysteretic response of the loaded member and consists of the deformed shape (represented as a 3D point cloud) along with the corresponding reserve capacity and stress/strain fields. …”
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Innovative 3D Measuring Technique for Identifying Geometrical Imperfections and Wear in Small Marine Stern Tube Liners by Żochowski Tomasz, Litwin Wojciech

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Tailoring Thermal Energy Supply Towards the Advanced Control of Deformation Mechanisms in 3D Forming of Paper and Board by Leonard Vogt, Marek Hauptmann

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Research on the Impact Toughness of 3D-Printed CoCrMo Alloy Components Based on Fractal Theory by Guoqing Zhang, Junxin Li, Han Wang, Congcong Shangguan, Juanjuan Xie, Yongsheng Zhou

“…In order to obtain high-performance 3D printed parts, this study focuses on the key performance indicator of impact toughness. …”
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Quality Analysis of Mould Insert Produced by Additive Technology by M. Pinta, L. Socha, K. Gryc, J. Sviželová, A. Mohamed, K. Koza, T. Sellner, M. Dvořák, M. Roh

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Cattle weight estimation using 2D side-view images and estimated depth-based 3D modeling by Guilherme Botazzo Rozendo, Maichol Dadi, Annalisa Franco, Alessandra Lumini

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Precision-induced localized molten liquid metal stamps for damage-free transfer printing of ultrathin membranes and 3D objects by Chuanqian Shi, Jing Jiang, Chenglong Li, Chenhong Chen, Wei Jian, Jizhou Song

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SALM: A Unified Model for 2D and 3D Region of Interest Segmentation in Lung CT Scans Using Vision Transformers by Hadrien T. Gayap, Moulay A. Akhloufi

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Low complexity radar signal classification based on spectrum shape by Liang YIN, Rui LIN, Xiaolei WANG, Yuliang YAO, Lin ZHOU, Yuan HE

“…In order to solve the problems of high computational complexity, low recognition accuracy of low signal to noise ratio (SNR) environment and low fidelity of simulation data in radar signal modulation recognition, a low complexity radar signal classification algorithm based on spectrum shape was proposed.Signal spectrum was normalized, feature parameters were extracted by spectrum sampling method, and then machine learning classification model was trained.The test results of the data generated by the radar signal source show that the classification accuracy of Barker code, Frank code, LFM code, BPSK, QPSK modulation and conventional radar signals is more than 90% (SNR≥3 dB).The algorithm has low computational complexity, can adapt to the change of signal parameters, and has good generalization.…”
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Deep learning-based sex estimation of 3D hyoid bone models in a Croatian population using adapted PointNet++ network by Ivan Jerković, Željana Bašić, Ivana Kružić

“…Abstract This study investigates a deep learning approach for sex estimation using 3D hyoid bone models derived from computed tomography (CT) scans of a Croatian population. …”
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Effect of Powder Recycling on the Surface and Selected Technological Properties of M300 Maraging Steel Produced via the SLM Method by Abdesselam Mechali, Josef Hlinka, Michal Kresta, Marin Petrovic, Jakub Mesicek, Ibrahim Jahan, Jiri Hajnys, Jana Petru

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Developing Computer Vision Models for Classifying Grain Shapes of Crushed Stone by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Alexandr A. Shilov, Irina Razveeva, Diana Elshaeva, Andrei Chernil’nik, Gleb Onore

“…Architectures based on PointNet and PointCloudTransformer are chosen as the basis for the classification algorithms. The input data were 3D images of crushed stone grains, the shapes of which were divided into needle-shaped, plate-shaped, and cubic classes. …”
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A New Approach for Estimation of Physical Properties of Irregular Shape Fruit by Hieu M. Tran, Kien T. Pham, Thanh M. Vo, Tat-Hien Le, Tri T. M. Huynh, Son Vu Truong Dao

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Learning efficient haptic shape exploration with a rigid tactile sensor array. by Sascha Fleer, Alexandra Moringen, Roberta L Klatzky, Helge Ritter

“…This environment contains a set of rigid static objects representing a selection of one-dimensional local shape features embedded in a 3D space: an edge, a flat and a convex surface. …”
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Proposing a framework for body mass prediction with point clouds: A study applied in typical swine pen environments by Gabriel Pagin, Luciane Silva Martello, Rubens André Tabile, Rafael Vieira de Sousa

“…Using a Python script, the Convex Hull (CH) and Alpha Shape (AS) algorithms were applied to extract dimensional characteristics from the dorsal region of the pigs, including perimeter, surface area (3D), projected surface area (2D), and volume, generating two datasets (CH and AS). …”
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Modular scaffolds with intelligent visual guidance system for in situ bone tissue repair by Huifeng Shao, Pengcheng Xia, Tao Zhang, Jinyuan Shi, Zhiqiang Huang, Xianqi Yuan, Zhiheng Nian, Xiao Zhao, Rougang Zhou, Youping Gong, Yong He

“…To address these challenges, inspired by LEGO ^® bricks, this study proposed a novel concept of modular scaffolds and developed an innovative system based on machine vision for their rapid and intelligent assembly tailored to defect shapes. …”
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Algorithms of the Method of Statically Admissible Discontinuous Stress Fields (SADSF) – Part II: The Algorithms for Solving Limit Stress Fields Around Isolated Nodes of Stress Disc... by W. Bodaszewski

“…SUMMARY OF THE WHOLE PAPER: By now, the SADSF method is practically the only tool of shape design of complex machine elements that provides an effective solution even to the problems of 3D distribution of the material, and at the same time it is still enough user-friendly to be useful for engineers. …”
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Magnetic Frequency Tuning of a Shape Memory Alloy Thermoelectric Vibration Energy Harvester by Ivo Yotov, Georgi Todorov, Todor Gavrilov, Todor Todorov

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Computational fluid dynamics analysis to improve hydrostatic thrust bearings: number of pockets and shape configuration analysis by Marwa M. El-Sayed, Masoud Ibrahim, Aiea A. Elhabak, Ahmed. S. A. Abou Taleb

“…The results showed that conical-shaped recesses produced higher pressure values compared to non-conical shapes. …”
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Grey wolf optimization technique with U-shaped and capsule networks-A novel framework for glaucoma diagnosis by Govindharaj I, Ramesh T, Poongodai A, Senthilkumar K. P, Udayasankaran P, Ravichandran S

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