The Interplay of Renin-Angiotensin System and Toll-Like Receptor 4 in the Inflammation of Diabetic Nephropathy by Qi Feng, Dongwei Liu, Yanfang Lu, Zhangsuo Liu

“…Toll-like receptor 4 (TLR4) is the most deeply studied pattern recognition receptor in the innate immune system, and its activation has been reported to mediate the development of DN. …”
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Development of a Multi-DOF Electromyography Prosthetic System Using the Adaptive Joint Mechanism by A. Hernandez Arieta, R. Katoh, H. Yokoi, Y. Wenwei

“…For the discrimination of many patterns and nonlinear properties of the EMG signal, we propose a controller based on a simple pattern recognition information process. The system also drives 12 servomotors to move the adaptive joint mechanism. …”
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The Role of Syk/CARD9-Coupled C-Type Lectin Receptors in Immunity to Mycobacterium tuberculosis Infections by Mohlopheni Jackson Marakalala, Lisa M. Graham, Gordon D. Brown

“…These cells express pattern recognition receptors (PRRs) which recognise mycobacterial pathogen-associated molecular patterns (PAMPs) and which can influence the host immune response to the infection. …”
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Energy-Efficient Federated Learning for Internet of Things: Leveraging In-Network Processing and Hierarchical Clustering by M. Baqer

“…This approach enhances energy efficiency through single-round pattern recognition, minimizing the need for multiple communication rounds to achieve convergence. …”
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An Effective Method of Monitoring the Large-Scale Traffic Pattern Based on RMT and PCA by Jia Liu, Peng Gao, Jian Yuan, Xuetao Du

“…Finally, some experiments about peer-to-peer traffic pattern recognition and backbone aggregate flow estimation are constructed. …”
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Classification of reduction invariants with improved backpropagation by S. M. Shamsuddin, M. Darus, M. N. Sulaiman

“…On the other hand, backpropagation network has been used extensively in classification problems such as XOR problems, share prices prediction, and pattern recognition. This paper proposes an improved error signal of backpropagation network for classification of the reduction invariants using principal component analysis, for extracting the bulk of the useful information present in moment invariants of handwritten digits, leaving the redundant information behind. …”
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Distance-Based Fractional Dimension of Certain Wheel Networks by Hassan Zafar, Muhammad Javaid, Mamo Abebe Ashebo

“…The metric dimension has a wide range of applications in the field of computer science such as integer programming, radar tracking, pattern recognition, robot navigation, and image processing. …”
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Rolling Bearing Fault Diagnostic Method Based on VMD-AR Model and Random Forest Classifier by Te Han, Dongxiang Jiang

“…Finally, a novel random forest (RF) classifier is put forward for pattern recognition in the field of rolling bearing fault diagnosis. …”
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Education, Quality and the Digital Transformation by N. E. Serditova, A. V. Belotserkovsky

“…The necessity to develop universal competencies in the field of information and communication technologies, as well as skills for using methods of pattern recognition theory, which is fundamental for deep machine learning, is noted. …”
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NOD1: a metabolic modulator by Ruobing Tang, Chunguang Xie, Chunguang Xie, Chunguang Xie, Xiyu Zhang, Xiyu Zhang, Xiyu Zhang

“…Nucleotide-binding oligomerization domain 1 (NOD1) is an intracellular pattern recognition receptor that detects injury signals and initiates inflammatory responses and host defense. …”
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Wavelet Analysis of Shower Track Distribution in High-Energy Nucleus-Nucleus Collisions by Provash Mali, Soumya Sarkar, Amitabha Mukhopadhyay, Gurmukh Singh

“…A continuous wavelet analysis is performed for pattern recognition of charged particle emission data in 28Si-Ag/Br interaction at 14.5A GeV and in 32S-Ag/Br interaction at 200A GeV. …”
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A hybrid data assimilation method based on real-time Ensemble Kalman filtering and KNN for COVID-19 prediction by SongTao Zhang, LiHong Yang

“…The approach integrates real-time Ensemble Kalman Filtering (EnKF) with the K-Nearest Neighbors (KNN) algorithm, combining dynamic real-time adjustments with pattern recognition techniques tailored to the specific dynamics of epidemics. …”
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Intelligent Diagnosis Method of Gear Faults based on MGAN and CNN by Zheng Li, Shengli Wu, Wenting Xing, Shiyong Liao

“…Aiming at the problems of insufficient samples of gear fault signals collected in practical engineering，insufficient training，low fault recognition rate and easy pattern collapse of generative adversarial networks when using common deep learning network for pattern recognition under noise interference. An intelligent diagnosis method of gear faults based on MGAN （Mixture Generative Adversarial Nets） and CNN （Convolutional Neural Networks） is proposed. …”
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Modeling of Human Skin by the Use of Deep Learning by Xin Xiong, Xuexun Guo, Yiping Wang

“…Deep learning (DL) has matured well over time and resonated in various domains of computer applications. Pattern recognition gets more attention in machine learning field to take advantage of data available for modern life. …”
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An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1 by Hai Guo, Jinghua Yin, Jingying Zhao, Yuanyuan Liu, Lei Yao, Xu Xia

“…An automatic detection model adopting pattern recognition technology is proposed in this paper; it can realize the measurement to the element of nanocomposite film. …”
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Secure and Privacy Enhanced Gait Authentication on Smart Phone by Thang Hoang, Deokjai Choi

“…These traditional systems are mostly based on pattern recognition and machine learning algorithms, wherein original biometric templates or extracted features are stored under unconcealed form for performing matching with a new biometric sample in the authentication phase. …”
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An Investigation on Water Quality of Darlik Dam Drinking Water using Satellite Images by Erhan Alparslan, H. Gonca Coskun, Ugur Alganci

“…Finally, WQ in the dam was studied from satellite images of the years 2004, 2005, and 2006 by pattern recognition techniques in order to determine possible water pollution in the dam. …”
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Naive Bayes-Guided Bat Algorithm for Feature Selection by Ahmed Majid Taha, Aida Mustapha, Soong-Der Chen

“…Further improvements in feature selection will positively affect a wide array of applications in fields such as pattern recognition, machine learning, or signal processing. …”
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Deubiquitinases: Novel Therapeutic Targets in Immune Surveillance? by Gloria Lopez-Castejon, Mariola J. Edelmann

“…It occurs when the immune system recognizes Pathogen-Associated Molecular Patterns (PAMPs) or Damage-Associated Molecular Pattern (DAMPs) through the activation of Pattern Recognition Receptors. This initiates a variety of signalling events that conclude in the upregulation of proinflammatory molecules, which initiate an appropriate immune response. …”
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TOPPER: Topology Prediction of Transmembrane Protein Based on Evidential Reasoning by Xinyang Deng, Qi Liu, Yong Hu, Yong Deng

“…It is a typical pattern recognition problem. Various prediction algorithms are developed to predict the transmembrane protein topology since the experimental techniques have been restricted by many stringent conditions. …”
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