CFD Analysis of a Decay Tank and a Siphon Breaker for an Innovative Integrated Passive Safety System for a Research Reactor by Kwon-Yeong Lee, Hyun-Gi Yoon, Dong Kyou Park

“…This paper also deals with the process of designing and optimizing the decay tank and the siphon breaker of the integrated passive safety system. …”
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Efficient RANSAC in 4D Plane Space for Point Cloud Registration by Chang Liu, Chao Liu, Yuming Zhang, Zhongqi Wu, Jianwei Guo

“…Based on those new descriptors, we randomly select corresponding plane pairs to compute candidate transformations, followed by a hypotheses verification step to identify the optimal registration. …”
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Model and algorithm of the billet design problem in the production of seamless steel tubes with a single billet size by LI Tie-ke, LIU Yu-zhuo, WANG Bai-lin, LUAN Zhi-wei

“…The billet design problem (BDP) in seamless steel tube production is to assign order tubes to billets under process constraints. Because of the batch rule in practical production, each order has a minimum weight of tubes assigned to any billet. …”
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Generalized Method to Describe the Propagation of Pulses in Classical and Specialty Optical Fibers by Andres Macho, Roberto Llorente

“…Here, we present a general method to describe the propagation of pulses in any kind of optical fiber, regardless of its fabrication process or constituent materials. As a result, we obtain a rich toolbox for the analysis and synthesis of optical fibers, which allows us to circumvent the resolution of Maxwell's equations by using heavy-computational numerical methods. …”
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Analysis of the microstructure of microbial solidified sand and engineering residue based on CT scanning by Minxia Zhang, Congrui Feng, Xiang He, Ping Xu

“…The microbial solidified engineering residue and sand were scanned by computed tomography (CT), and a three-dimensional model of the sample was established by digital image processing. …”
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Machine learning approach for solar irradiance estimation on tilted surfaces in comparison with sky models prediction by Mbah O. M., Madueke C. I., Umunakwe R., Okafor C. O.

“…The measured global horizontal solar radiation and the time and day number were used as input for the prediction process. Python computational software was used for model prediction, and the performance of each model was assessed using statistical methods such as mean bias error (MBE), mean absolute error (MAE), and root mean square error (RMSE) (RMSE). …”
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Response analysis and control of plates induced by piezoelectric actuators using finite element method by Thien M. Tran, Trieu L. Vo, Son H. Nguyen

“…An algorithm controls the shape and position of sheet metal to make a foundation and premises for the empirical process and applies it in production. …”
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Agronomic Information Extraction from UAV-Based Thermal Photogrammetry Using MATLAB by Francesco Paciolla, Giovanni Popeo, Alessia Farella, Simone Pascuzzi

“…However, few commercial software programs, such as PIX4D Mapper, can process thermal images, and their functionalities are very limited. …”
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Optimal fault detection from seismic data using intelligent techniques: A comprehensive review of methods by Bhaktishree Nayak, Pallavi Nayak

“…These techniques, benchmarked against established seismic datasets, reveal significant improvements over classical methods in terms of accuracy and computational efficiency. Additionally, this review highlights emerging trends, including hybrid model applications and the integration of real-time data processing for seismic fault detection. …”
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An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration by Muhammad Muzamil Aslam, Liyanage Chandratilak De Silva, Rosyzie Anna Awg Haji Mohd Apong, Ali Tufail

“…Existing methods, however, struggle with high computational complexity, limited applicability to specific datasets, and elevated false-positive rates. …”
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Experimental Study on the Permeability of a Soil-Rock Mixture Based on the Threshold Control Method by Xiaohua Ding, Xuyang Shi, Wei Zhou, Boyu Luan

“…Therefore, during the reclamation process of the open-pit mine, the water-retaining layer below the humus should be compacted, and RBP should be increased to lower permeability and achieve better water retention.…”
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Challenges in CFD Model Validation: A Case Study Approach Using ANSYS CFX and TurboGrid by Jordan Dickenson, James M. Buick, Jovana Radulovic, James Bull

“…The methodology involves blade generation through TurboGrid and BladeGen, mesh generation to ensure computational efficiency, and pre-processing with CFX to define boundary conditions and turbulence models, all within ANSYS 2024 R1. …”
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PyTomography: A python library for medical image reconstruction by Lucas A. Polson, Roberto Fedrigo, Chenguang Li, Maziar Sabouri, Obed Dzikunu, Shadab Ahamed, Nicolas Karakatsanis, Sara Kurkowska, Peyman Sheikhzadeh, Pedro Esquinas, Arman Rahmim, Carlos Uribe

“…PyTomography was developed using Python and inherits the GPU-accelerated functionality of PyTorch and parallelproj for fast computations. Its flexible and modular design decouples system matrices, likelihoods, and reconstruction algorithms, simplifying the process of integrating new imaging modalities using various python tools. …”
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A Machine Learning Approach for Predicting Particle Spatial, Velocity, and Temperature Distributions in Cold Spray Additive Manufacturing by Lurui Wang, Mehdi Jadidi, Ali Dolatabadi

“…The ML predictions closely match CFD outputs while reducing computation time by orders of magnitude, demonstrating that ML-CFD integration can accelerate CSAM process design. …”
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Numerical-analytical modeling of oil extraction from oil fields with a gas cap using horizontal wells with automatic history matching by D. V. Shevchenko, A. A. Salamatin, A. D. Yarullin, S. A. Usmanov, V. V. Saveliev, V. A. Sudakov, A. P. Roschektaev, E. V. Yudin, D. S. Vorobyov, V. V. Sorokina, A. A. Sveshnikova

“…The employed semi-analytical model allows describing the process of gas cone development and reproducing oil and gas production parameters from the well by matching to the actual production history using several coefficients. …”
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Non-Linear Analytical Model for Bread-Loaf Linear PM Motor by Ferhat Turun, Tunahan Sapmaz, Yasemin Öner, Salman Ali, Fabrizio Marignetti

“…However, its primary limitation lies in its considerable computational time requirement. This disadvantage becomes particularly problematic during the early stages of the design process. …”
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IMAGING TECHNIQUES IN ENDODONTIC DIAGNOSIS: A REVIEW OF LITERATURE by Mihaela Salceanu, Anca Melian, Tudor Hamburda, Cristina Antohi, Corina Concita, Claudiu Topoliceanu, Cristian Levente Giuroiu

“…Aim of the study: This literature review analyzes research on the the role of the digital radiography and cone-beam computed tomography (CBCT) in the diagnosis of the endodontic pathology and the monitoring of post-treatment outcomes. …”
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Building an Adaptive AI-Powered Higher Education Class for the Future of Engineering: A Case Study from NTUA by Maria Karoglou, Ioana Ghergulescu, Marina Stramarkou, Christos Boukouvalas, Magdalyni Krokida

“…The unit operations—extraction process course—a fundamental component of the chemical engineering curriculum, was selected as the case study for the development of the HECOF learning system. …”
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Orthogonalization of spontaneous and stimulus-driven activity by hierarchical neocortical areal network in primates by Teppei Matsui, Takayuki Hashimoto, Tomonari Murakami, Masato Uemura, Kohei Kikuta, Toshiki Kato, Kenichi Ohki

“…Abstract How biological neural networks reliably process information in the presence of spontaneous activity remains controversial. …”
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Towards a shape-performance integrated digital twin for lumbar spine analysis [version 2; peer review: 2 approved, 1 not approved] by Wei Sun, Xueguan Song, Xiwang He, Xiaonan Lai, Yiming Qiu, Liming Shu, Zhonghai Li

“…The Gaussian process regression was utilized to train the predicted results and create the digital twin of the lumbar spine in real-time. …”
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