Features of brain electrical activity in adult patients with POLG-related disorders by P. A. Fedin, E. P. Nuzhnyi, T. Yu. Noskova, Yu. A. Seliverstov, S. A. Klyushnikov, T. D. Krylova, P. G. Tsygankova, E. Yu. Zakharova, S. N. Illarioshkin

“…Objective. To study the features and characteristics of the electroencephalography (EEG) pattern in adult patients with POLG-related disorders. …”
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Comparative analysis of Nader Ardalan's vision based on post-modern features by Fataneh Sangtarash, Hasan Ali Pourmand

“…It can be said that most of Nader Ardalan's works have features of postmodern style. In terms of purpose, more traditionalism and historicism of the climate can be pointed out, and in terms of design ideas, the use of traditional Iranian architecture pattern and the use of rectangle, square, and central courtyard elements.…”
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Features of the Clinical Course and Prognosis of Severe Traumatic Brain Injury Outcomes by Y. B. Vasilyeva, A. E. Talypov, M. V. Sinkin, S. S. Petrikov

“…To determine the clinical course features and prognosis of treatment outcomes in patients with various types of traumatic brain damage.MATERIAL AND METHODS. …”
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Automatic crop type mapping based on crop-wise indicative features by Junru Yu, Longcai Zhao, Yanfu Liu, Qingrui Chang, Na Wang

“…This process yielded the DCIF extractor that can capture the unique feature pattern on any given day during the entire growing period. …”
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Exploring sex-specific clinical features in Chinese patients with Takotsubo syndrome by Hong-Yi Duan, Ling-Lin Wang, Ling-Chun Lyu, Zhen-Hua Shi, Xiao-Ping Lin, Zheng-Yang Yu, Guo-Hua Fan, Jing Chen, Xin-Hong Yang, Wei Deng, Chang-Wu Xu, Yan Huang, Qing Zhou, Jin-Ling Chen, Hong-Ning Song, Dong Hu, Jin-Qiu Liu, Hector Barajas-Martinez, Charles Antzelevitch, Kan Liu, Hong Jiang, Dan Hu

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Investigating pathological features of myocarditis-related sudden cardiac deaths in Egypt by Nora Fnon, Asmaa Sharif, Hanan Hassan, Amal Hafez, Zahraa Sobh

“…The scarcity of autopsy data has led to this study, which analyzed the histopathological features of myocarditis-related deaths referred to the Egyptian Forensic Medicine Authority. …”
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Features of the Effect of Cataracts and Glaucoma on the Daily Activities of Patients with Sarcopenic Obesity by O. L. Fabrikantov, A. E. Kopylov, N. M. Agarkov

“…In particular, restrictions on threading a needle in patients with cataracts and sarcopenic obesity have 1.84 ± 0.03 points, which is significantly higher than in patients with glaucoma and sarcopenic obesity (p < 0.01). A similar pattern has been established for nail clipping, the limits for which are 1.75 ± 0.03 points and 1.43 ± 0.04 points, respectively. …”
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Clinical and Laboratory Features, Treatment and Prognosis in Children with Guillian-Barre Syndrome by N. A. Suponeva, A. K. Shakaryan, A. V. Rakhteenko, M. A. Piradov, I. V. Mitrofanova, M. I. Prytkova, I. Ya. Leont’ieva, S. V. Shakhgildyan, N. S. Morozova

“…Several exclusive features of GBS in children for Russia were discovered. …”
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Research of the Method of Gear Fault Classification based on Contourlet Transform and Local Binary Pattern by Zhang Fangdong

“…For the problem that the gear fault feature is difficult to extract in actual working condition,a fault feature extraction method based on vibration signal time-frequency image is proposed,which is based on the global texture of the contourlet transform and the local texture of the local binary pattern. …”
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Pattern recognition method for the identification of Daiqu large yellow croaker based on computer vision by YU Xinjie, WU Xiongfei, SHEN Weiliang

“…A pattern recognition method based on computer vision was developed for the identification of Daiqu large yellow croaker. …”
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Pearson Autocovariance Distinct Patterns and Attention-Based Deep Learning for Wind Power Prediction by W. G. Jency, J. E. Judith

“…This paper presents a wind power prediction method with feature selection and prediction called, Pearson Autocovariance Distinct Patterns and Attention-based Deep Learning (PACDP-ADL). …”
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Automated underwater image analysis reveals sediment patterns and megafauna distribution in the tropical Atlantic by Benson Mbani, Jens Greinert

“…Here, we deployed two A.I workflows to automate the annotation of substrates and megafaunal taxa in seafloor images from the tropical North Atlantic. Clustering, feature space visualisation and multivariate statistical analysis techniques were used to classify the seafloor into habitats, estimate megafaunal distribution patterns, and to identify environmental drivers that influence observed patterns. …”
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Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification by Linara Arslanova, Sören Hese, Marcel Fölsch, Friedemann Scheibler, Christiane Schmullius

“…This article assesses the use of high-resolution Unmanned Aerial Vehicle (UAV) data from commercial field sensors for classifying small-scale agricultural patterns in four crop types (Winter Wheat, Spring Barley, Rapeseed, and Corn) acquired at ground sample distances (GSDs) of 0.027 m, 0.053 m and 0.064 m. …”
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Implementation of Discrete Wavelet Transform and Directed Acyclic Graph SVM for Batik Pattern Recognition by Edi Sugiarto, Fikri Budiman, Amiq Fahmi, MY Teguh Sulistyono, Asih Rohmani

“…The stages start from preprocessing, feature extraction, and classification. The study used 310 batik images of 7 different patterns and divided into 240 images for training data and 70 for testing data. …”
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SP-GEM: Spatial Pattern-Aware Graph Embedding for Matching Multisource Road Networks by Chenghao Zheng, Yunfei Qiu, Jian Yang, Bianying Zhang, Zeyuan Li, Zhangxiang Lin, Xianglin Zhang, Yang Hou, Li Fang

“…Firstly, a road graph is constructed from the road network data, and geometric, topological features are extracted as node features of the road graph. …”
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Advancing Traditional Dunhuang Regional Pattern Design with Diffusion Adapter Networks and Cross-Entropy by Yihuan Tian, Tao Yu, Zuling Cheng, Sunjung Lee

“…In addition, incorporating a cross-entropy loss function enhances the model’s capability in semantic understanding and the classification of Dunhuang patterns. The DANet achieves state-of-the-art (SOTA) performance on the proposed Diversified Dunhuang Patterns Dataset (DDHP). …”
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Robustness Study of Non-Dimensional Star Pattern Recognition for a Typical Star Tracker by Jafar Roshanian, Shabnam Yazdani, Masoud Ebrahimi

“…Non-Dimensional star pattern recognition uses planar angles as its recognition feature. …”
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Multiple-Fault Diagnosis Method Based on Multiscale Feature Extraction and MSVM_PPA by Min Zhang, Zhenyu Cai, Wenming Cheng

“…Identification of rolling bearing fault patterns, especially for the compound faults, has attracted notable attention and is still a challenge in fault diagnosis. …”
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Patch-Based Texture Feature Extraction Towards Improved Clinical Task Performance by Tao Lian, Chunyan Deng, Qianjin Feng

“…Texture features can capture microstructural patterns and tissue heterogeneity, playing a pivotal role in medical image analysis. …”
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Exploration on the Visual Design of Decorative Patterns in Tang Dynasty: Take the Demale Bag as an Example by Ke GAO, Fuquan DENG

“…As the inheritance carrier of incense culture, incense ware is the elegant supporter of the ancients. Its feature of distinctive decorative pattern is the typical representative of the aesthetic development of the Chinese nation. …”
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