Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer’s disease by Ibrahim Abunadi

“…In this study, four proposed systems with different methodologies and materials for tracking the stages of AD development are presented. The first proposed system is to classify a data set using artificial neural networks (ANNs) and feed-forward neural networks (FFNN) based on the features extracted in a hybrid manner by using a combination of Local Binary Pattern (LBP), Discrete Wavelet Transform (DWT), and Gray Level Co-occurrence Matrix (GLCM) algorithms. …”
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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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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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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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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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A comparative evaluation of dermatoglyphics in different classes of malocclusion by Garima Jindal, Ramesh Kumar Pandey, Sameer Gupta, Meera Sandhu

“…Dermatoglyphic parameters were examined and asymmetry analysis was conducted in subjects with different occlusion patterns. Results: Although no fingerprint pattern was found to be specific for a particular class of occlusion, increased tendencies toward high frequencies of whorls in subjects with class II malocclusion and plain arches in those with class III malocclusion were observed. …”
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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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Characteristics and accumulation mode of volcanic rock reservoir of the Fengcheng Formation in the southern of Mahu Sag, Junggar Basin by Xincai YOU, Qi YAN, Mengyao LI, Wenlong DANG, Gang GAO, Xiaobing JIAO, Jun WU, Zhiyuan AN, Lingli ZHU, Yu BAI

“…Objective To clarify the oil and gas accumulation patterns and main controlling factors of the thin weathered crust volcanic rock reservoir at the top of Member 2 of the Fengcheng Formation in the southern Mahu Sag(Manan Sag). …”
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A model for maxilloturbinate morphogenesis in seals. by Jonathan E Kings, Lars P Folkow, Øyvind Hammer, Signe Kjelstrup, Matthew J Mason, Fengzhu Xiong, Eirik G Flekkøy

“…The maxilloturbinates of Arctic seals develop into particularly elaborate labyrinthine patterns, which are well adapted to retain heat and moisture from exhaled gas. …”
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Comparative evaluation of titanium-prepared platelet-rich fibrin with and without herbal extract: A histological study by Gummaluri Shiva Shankar, Gurumoorthy Kaarthikeyan, Damera Trinath Kishore, Boddeda Anusha, Kodem Tejaswi, Lekkala Sivaram

“…A statistically significant difference was shown in the packeting (p = 0.018) and layered (p = 0.028) patterns of the fibrin network, and there was no statistically significant difference in the scattered (p = 0.749) pattern among the examined groups. …”
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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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Research on Apple Recognition and Localization Method Based on Deep Learning by Zhipeng Zhao, Chengkai Yin, Ziliang Guo, Jian Zhang, Qing Chen, Ziyuan Gu

“…Firstly, the multi-scale feature fusion network is improved by adding a 160 × 160 feature scale layer in the backbone network, which is used to enhance the model’s sensitivity in the recognition of very small local features. …”
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Delayed neutron yield measurement on thermal neutron induced fission of 237Np using cross-correlation technique by Sh. S. Zeynalov, O. V. Zeynalova, V. I. Smirnov

“…The data is modulated with predefined pattern before transmission to the public network and only recipient that has the modulation pattern is able to demodulate it upon reception. …”
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Eyes in cheese: reasons for formation and methods of assessment by O. V. Lepilkina, O. N. Lepilkina, I. V. Loginova

“…In connection with the observed tendency to the loss of the distinctive features of this type of cheese (rare, insufficiently pronounced eyes), great importance is attached to objective methods for assessing the pattern in these cheeses as one of the most important indicators of the product quality. …”
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Maskless Electrochemical Texturing (MECT) Applied to Skin-Pass Cold Rolling by Paulo L. Monteiro, Wilian Labiapari, Washington M. Da Silva, Cristiano de Azevedo Celente, Henara Lillian Costa

“…Rolling tests showed that the work roll surface textured with a dimple pattern generated a pillar-shaped texture pattern on the sheet surface, possibly due to a reverse extrusion mechanism.…”
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An Efficient Algorithm for Small Livestock Object Detection in Unmanned Aerial Vehicle Imagery by Wenbo Chen, Dongliang Wang, Xiaowei Xie

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Organizing nutrition of schoolchildren: problems and solutions by N. V. Tapeshkina, L. P. Pochueva, O. P. Vlasova

“…This may be associated with low socioeconomic status or inappropriate food consumption pattern, additionally affected by regional features. …”
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Non-invasive respiratory support in patients with severe community-acquired pneumonia by S. V. Korotchenko, D. I. Korabelnikov

“…However, after the analysis of the published studies it was noted that the pathophysiology of the development of ARF in COVID-19 had features that determine the atypical clinical pattern – “silent hypoxemia”. …”
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