Automatic X-ray teeth segmentation with grouped attention by Wenjin Zhong, XiaoXiao Ren, HanWen Zhang

“…The GGA modules capture and group texture and contour features, while the CLF modules combine these features with deep semantic information to improve prediction. Experimental results on the Children’s Dental Panoramic Radiographs dataset show that our model outperformed existing models such as GT-U-Net and Teeth U-Net, with a Dice coefficient of 0.9338, sensitivity of 0.9426, and specificity of 0.9821. …”
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Terminal Guidance Law for UAV Based on Receding Horizon Control Strategy by Zhenglong Wu, Zhenyu Guan, Chengwei Yang, Jie Li

“…Then, optimal control theory and target motion prediction model are used to derive guidance law for minimum time index function with continuous renewal of original conditions at the initial time of each horizon. …”
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The Application of Artificial Intelligence in Engineering Education: A Systematic Review by Cong Liu, Guang-Chao Wang, Hong-Feng Wang

“…Furthermore, the study categorizes the application of AI technologies in engineering education into seven distinct categories: Virtual Experiment Environments, Learning Prediction, Learning Analytics, Engineering Education Robots, Intelligent Tutoring Systems, Automatic Evaluation, and Assisted Learning. …”
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STUDY ON LOAD MEASURING METHOD AND TEST OF THE PIN-SHAFT IN LOADER WORKING DEVICE by WAN YiPin, SONG XuDing, YU LuPing, YUAN ZhengWen

“…It has important guiding roles for the study on the mechanical characteristics of the loader working device,the acquisition of the load spectrum and the prediction of fatigue life.…”
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A Critical Short Review of Equilibrium and Kinetic Adsorption Models for VOCs Breakthrough Curves Modelling by Raquel Valenciano, Elvira Aylón, M. Teresa Izquierdo

“…Thus, the aim of this paper is to establish a guide for authors willing to develop breakthrough time prediction models for multicomponent systems through a critical review of different adsorption and kinetic models.…”
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High-precision indoor wireless positioning method based on generative adversarial network by Fuzhan WANG, Xiaorong ZHU, Meijuan CHEN, Hongbo ZHU

“…Because wireless signals are susceptible to interference during the propagation process, the application of traditional indoor positioning methods in real life is limited.Because location-based fingerprint positioning technology has the advantage of strong universality, it has become a current research hotspot.The number of fingerprint data is an important factor affecting the accuracy of fingerprint positioning, but the cost of collecting a large amount of fingerprint data is large.Therefore, how to use a small amount of fingerprint data to achieve higher positioning accuracy is a difficult point of fingerprint positioning technology.Aiming at this problem, a high-precision indoor wireless positioning method based on generative adversarial network was proposed.Firstly, fingerprint data was collected densely at equal intervals indoors, and the initial fingerprint data set was constructed, the part of the fingerprint data was selected in the initial fingerprint data set, and the generative adversarial network was used to obtain a large amount of fingerprint data from part of the fingerprint data.Then, based on these generated data, a KNN (k-nearest neighbor) model and a random forest model were used for location prediction.Experimental results show that this method can achieve high wireless positioning accuracy based on a small amount of fingerprint data, and the positioning accuracy can reach 15.4 cm.…”
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Machine Learning and Statistical Test–Based Culvert Condition Impact Factor Analysis by Ce Gao, Zhibin Li, Hazem Elzarka, Hongyan Yan, Peijin Li

“…In addition, such a statistical test-assisted factor identification process offered a way of identifying and enhancing the input variable selection for predictive ML model development.…”
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A probabilistic approach for multiaxial fatigue criteria by M. Muñiz Calvente, S. Blasón, A. Fernández Canteli, A. de Jesús, J. Correia

“…Nevertheless, the random orientation of the predominant defect evidences the possibility of failure being initiated as a function of the predominant defect presence without requiring, necessarily, maximum values of the damage parameter, which emphasizes the need of introducing probabilistic concepts into the failure prediction analysis. In this paper, a probabilistic model is presented that enables the failure probability to be found for any selected plane orientation by considering the damage gradient as a parameter for both proportional and non-proportional loading. …”
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The effect of ply folds as manufacturing defect on the fatigue life of CFRP materials by S. Hörrmann, A. Adumitroaie, M. Schagerl

“…The target of this study is the prediction of damage initiation due to this particular type of manufacturing defect. …”
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Non-equilibrium solidification and microsegregation in centrifugally cast high speed steel for rolls by Klančnik U., Košec B., Mrvar P., Medved J.

“…The prediction was performed using thermodynamic Scheil-Gulliver modelling with Thermo-Calc software. …”
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A Dynamic Analysis of a Motor Vehicle Pollutant Emission Reduction Management Model Based on the SD-GM Approach by Shuwei Jia

“…To optimize the chosen parameters, the dynamic growth rate graphical function of the gross domestic product (GDP) was firstly generated based on the GM(1,1) prediction theory. In addition, verification was conducted in accordance with the degree of grey incidence. …”
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ChIMES Carbon 2.0: A transferable machine-learned interatomic model harnessing multifidelity training data by Rebecca K. Lindsey, Sorin Bastea, Sebastien Hamel, Yanjun Lyu, Nir Goldman, Vincenzo Lordi

“…Applications to carbon melting point prediction, shockwave-driven conversion of graphite to diamond, and thermal conversion of nanodiamond to graphitic nanoonion are provided. …”
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Experimental and Analytical Study on Deformation Behavior in Hogging Moment Regions of Composite Beams by Aiming Song, Qi Luo, Shui Wan, Zhicong Li

“…The limitation and accuracy of the presented models were studied according to the comparison between the prediction and measured results. The calculation values of the proposed models showed good agreement with the test results. …”
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Graph Geometric Algebra networks for graph representation learning by Jianqi Zhong, Wenming Cao

“…They have been widely used in pattern recognition tasks including node and graph label prediction. However, when dealing with graphs from non-Euclidean domains, the relationships, and interdependencies between objects become more complex. …”
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The concept of peace and victory in the domestic and foreign policy of Ukraine by Hryhorii Perepelytsia

“…The last part of the article presents an analysis of Ukraine's foreign policy, which presents predictive assessments of the advent of peace and its impact on regional and global security. …”
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The Co-Movement between International and Emerging Stock Markets Using ANN and Stepwise Models: Evidence from Selected Indices by Dania Al-Najjar

“…Further studies can use macroeconomic factors to build prediction models for stock market indices.…”
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Effects of the Insertion Type and Depth on the Pedicle Screw Pullout Strength: A Finite Element Study by K. Jendoubi, Y. Khadri, M. Bendjaballah, N. Slimane

“…The current finite element study focused on the prediction of the pedicle screw pullout strength under various conditions such as insertion type, insertion depth, bone quality, and loading mode. …”
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An Efficient Hierarchical Video Coding Scheme Combining Visual Perception Characteristics by Pengyu Liu, Kebin Jia

“…In VPAL, effective visual perception characteristics detection algorithm is proposed to achieve visual region of interest (VROI) based on the correlation between coding information (such as motion vector, prediction mode, etc.) and visual attention. Then, the interest priority setting for VROI according to visual perception characteristics is completed. …”
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A Client-Server and Web-Based Graphical User Interface Design for the Mathematical Model of Cardiovascular-Respiratory System by Theogene Bizimungu, Domonique Harelimana, Jean Marie Ntaganda

“…The prediction of cardiac conditions can be done through comparison and analysis of parameters transformed into mathematical model equations. …”
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Numerical Simulation and Analysis of Cycloidal Gear Forming Grinding Temperature Field by Ke Qingxun, Deng Xiaozhong, Su Jianxin, Nie Shaowu, Hu Chenhui

“…And the maximum error of the simulation results and theoretical analysis is within 10%,which is of great value for the prediction of the distribution of the temperature field of the tooth surface and the reasonable selection of the grinding process parameters.…”
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