Hybrid mechanism‐data‐driven iron loss modelling for permanent magnet synchronous motors considering multiphysics coupling effects by Lin Liu, Wenliang Yin, Youguang Guo

“…Purely mechanistic models require detailed theoretical knowledge and exact parameters, often struggling to accurately describe complex systems, while purely data‐driven methods lack interpretability, which are susceptible to data noise and outliers in feature extraction and complicated pattern recognition. …”
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mzGroupAnalyzer--predicting pathways and novel chemical structures from untargeted high-throughput metabolomics data. by Hannes Doerfler, Xiaoliang Sun, Lei Wang, Doris Engelmeier, David Lyon, Wolfram Weckwerth

“…Pathways are extracted directly from the data and putative novel structures can be identified. The detected m/z features can be mapped on a van Krevelen diagram according to their H/C and O/C ratios for pattern recognition and to visualize oxidative processes and biochemical transformations. …”
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Constipations in elderly: diagnostics and treatment approach by Yu. O. Shulpekova

“…Constipation with delayed transit and megarectum are associated to the risk of fecal impaction, compression of urinary tract and stercoral colitis development, with intestinal perforation, blee- ding and suppuration.At treatment prescription it is necessary to take into account nature of constipation, features of clini- cal pattern, intestinal transit, incidental or persistent course. …”
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A Study of Bronze Age Storage and Warehouse Architecture at Tappeh Graziani, Sistan, Iran by Hossein Ali Kavosh, Zohreh Oveisi-Keikha

“…The architectural layout features square rooms at the centre, surrounded by rectangular spaces—a pattern consistent with other sites in the Sistan region. …”
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Visual design element recognition of garment based on multi-view image fusion by Meng Fanyu

“…This clothing style recognition aids in predicting clothes' features and patterns, which aids in classifying them using efficient feature extraction and classification models such as Convolutional Neural Network (CNN). …”
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Intelligent prediction of thyroid cancer in China based on GBD data and hospital electronic medical records: disease burden analysis combined with multiple machine learning models by Lina Yang, Shixia Zhang, Xinguo Wang, Jianjun Yang, Mengya Chen

“…This study aims to conduct an in-depth analysis of the disease burden pattern and future trends of thyroid cancer in China, and constructed an intelligent prediction model in combination with hospital electronic medical record data. …”
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An analytical delay model for multi-class and lane-free traffic condition. by Vinaya S Mattungal, Lelitha Devi Vanajakshi

“…Key features include assumption of random arrival and departure pattern as well as distribution, incorporation of Passenger Car Equivalent (PCE) and virtual lane concepts to account for the diverse vehicle classes and lane-free movement prevalent in Indian traffic. …”
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Visualization of Hazardous Substance Emission Zones During a Fire at an Industrial Enterprise Using Cellular Automaton Method by Yuri Matveev, Fares Abu-Abed, Leonid Chernishev, Sergey Zhironkin

“…Since the main problems of the cellular automation approach to modeling the dispersion of pollutants are the problems of speed and numerical diffusion, in this article the frontal cellular automation algorithm with a 16-point neighborhood pattern is used, which takes into account the features of the calculation scheme for finding the shortest path. …”
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Morphometric analysis of equid cheek teeth using a digital image processor: a case study of the Pleistocene Cedazo local fauna equids, Mexico by Christian Raúl Barrón-Ortiz, Gilfredo de la Riva-Hernández, Raúl Barrón-Corvera

“…In contrast to previous studies, we only analyzed cheek teeth with an equivalent stage of wear and developed a computer program that integrates a digital image processor to analyze the occlusal pattern and also to take measurements of different features of the occlusal surface. …”
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Study of influence of boron and rare-earth metals on impact elasticity by N. V. Nevar, Ju. N. Fasevich

“…There are determined the types of the modifying agents, most efficiently affecting on such feature as resistance to brittle failure of the developed alloys.…”
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User authentication of industrial internet based on HHT transform of mouse behavior by Yigong ZHANG, Qian YI, Jian LI, Congbo LI, Aijun YIN, Shuping YI

“…The rapid development of the industrial internet had caused widespread concern about the network security, and the end-user authentication technology was considered a research hotspot.According to the characteristics of human-computer interaction in industrial internet, an experimental website was designed.24 users' mouse behavior data in an uncontrolled environment were collected within 2.5 years to conduct case studies.Hilbert-Huang transform (HHT) was used to extract frequency domain features of mouse behavior signals, combined with time domain features to form a time-frequency joint domain feature matrix of 163-dimensional to characterize user mouse behavior patterns.Bagged tree, support vector machine (SVM), Boost tree and K-nearest neighbor (KNN) were used to build a user authentication model， and the comparison result showed that the Bagged tree had the best internal detection effect in this case, with an average false acceptance rate (FAR) of 0.12% and an average false rejection rate (FRR) of 0.28%.In external detection, the FAR was 1.47%.Compared with the traditional mouse dynamics method, the frequency domain information of mouse behavior extracted by HHT can better realize the user authentication, and provide technical support the security of the industrial internet.…”
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Simulation of multicentric destruction with regard for inhomogeneous distribution of rated voltage by Vitaly F. Lukyanov, Semen S. Assaulenko

“…As a result, the fatigue flaking along the weld lacks any regular pattern. Under the cyclic loading, the development of the destruction is a sequential process of the crack nucleation in different parts of welded joints along the weld, single surface cracks growth under the fracture mechanics laws, nucleation of new cracks, and crack coalescence in the adjoining sections. …”
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The Use of 3D Convolutional Autoencoder in Fault and Fracture Network Characterization by Feng Xu, Zhiyong Li, Bo Wen, Youhui Huang, Yaojun Wang

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Modeling the inside defect of the jet cavitator by A. I. Ukolov, V. P. Rodionov

“…Materials and Methods. The features of the ANSYS Workbench finite-element analysis software package and the integrated optimization module of the development and design process in the domain of the computational fluid dynamics ANSYS CFX are used. …”
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A comparative evaluation of dermatoglyphics in different classes of malocclusion by Garima Jindal, Ramesh Kumar Pandey, Sameer Gupta, Meera Sandhu

“…Aim: To study associations of dermatoglyphic features with malocclusion in Indian children. Materials and methods: A total of 237 children aged 12–16 years, who attended our outpatient clinic in a government medical college, were selected. …”
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Cognitive load estimation in VR flight simulator by Archana Hebbar, Sanjana Vinod, Shah, A.K., Abhay Pashilkar, Pradipta Biswas

“… This paper discusses the design and development of a low-cost virtual reality (VR) based flight simulator with cognitive load estimation feature using ocular and EEG signals.  …”
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Non- Invasive EEG-based BCI system for Left or Right Hand Movement by Mai Mabrouk

“…Second, the data acquisition system we developed is described in detail. Lastly, our BCI system, including all different techniques used for artifact removal, feature extraction, and classification is presented. …”
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Enhancing pancreatic cancer detection in CT images through secretary wolf bird optimization and deep learning by Sandhya Mekala, Phani Kumar S

“…The SeWBO is designed by incorporating Wolf Bird Optimization (WBO) and the Secretary Bird Optimization Algorithm (SBOA). Then, features like Complete Local Binary Pattern (CLBP) with Discrete Wavelet Transformation (DWT), statistical features, and Shape Local Binary Texture (SLBT) are extracted. …”
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Comparative Analysis of Measurement Tools in the Cognex D900 Vision System by Daniel Jancarczyk, Jacek Rysiński, Jakub Worek

“…Conversely, the ViDi tool offers comprehensive image analysis without the need to specify detail features, enabling the detection of any deviations from a reference pattern. …”
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Influence of Geometry and Boundary Conditions in Area of Cohesion between Materials on the Reflection of an Ultrasonic Beam. Part 1. Theoretical research by A. R. Bayev, A. L. Mayorov, N. V. Levkovich, D. V. Shavlovskiy, M. V. Asadchaya

“…There is shown that there are conditions to achieve sufficiently high sensitivity detection of interface defects when the scattered waves receiving are to be at angles outside the main directivity lobe of the scattering field pattern. The evolution features of the scattering field structure which are needed for the development of the method of evaluation the cohesion of materials has been got.…”
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