PATTERN RECOGNITION SYSTEM by L. M. Fenyes

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Imaging, Vision, and Pattern Recognition by Mourad Zaied, Imed Bouchrika, Anil Kumar, Fouad Slimane, Ridha Ejbali

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The Application of Pattern Recognition in Electrofacies Analysis by Huan Li, Xiao Yang, Wenhong Wei

“…Pattern recognition is an important analytical tool in electrofacies analysis. …”
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Nuclear Fusion Pattern Recognition by Ensemble Learning by G. Farias, E. Fabregas, I. Martínez, J. Vega, S. Dormido-Canto, H. Vargas

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Regulation of pattern recognition receptor signaling by palmitoylation by Xiaocui Li, Xiaofang Hu, Hongjuan You, Kuiyang Zheng, Renxian Tang, Fanyun Kong

“…Summary: Pattern recognition receptors (PRRs), consisting of Toll-like receptors, RIG-I-like receptors, cytosolic DNA sensors, and NOD-like receptors, sense exogenous pathogenic molecules and endogenous damage signals to maintain physiological homeostasis. …”
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Pattern Recognition in Older Adults’ Activities of Daily Living by Gonçalo Augusto, Rui Duarte, Carlos Cunha, Ana Matos

Subjects: “…pattern recognition…”
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Road Functional Classification Using Pattern Recognition Techniques by Gaetano Bosurgi, Orazio Pellegrino, Giuseppe Sollazzo

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The Role of Bacteria and Pattern Recognition Receptors in GvHD by E. Holler, K. Landfried, J. Meier, M. Hausmann, G. Rogler

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Efficient Pattern Recognition of Sundanese Script Variants Using CNN by Muhammad Husni Wahid, Erik Iman Heri Ujianto

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Cancer Classification Using Pattern Recognition and Computer Vision Techniques by Haddou Bouazza Sara, Haddou Bouazza Jihad

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Diversification of molecular pattern recognition in bacterial NLR-like proteins by Nathalie Béchon, Nitzan Tal, Avigail Stokar-Avihail, Alon Savidor, Meital Kupervaser, Sarah Melamed, Gil Amitai, Rotem Sorek

“…Our results exemplify the evolutionary diversification of molecular pattern recognition in bacterial Avs2, and show that a single pattern recognition receptor evolved to recognize different phage-encoded proteins.…”
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Multitask Learning for Estimation of Magnetic Parameters Using Pattern Recognition by Anubha Sehgal, Shipra Saini, Hemkant Nehete, Kunal Kranti Das, Sourajeet Roy, Brajesh Kumar Kaushik

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Advanced Cancer Classification Using AI and Pattern Recognition Techniques by Haddou Bouazza Sara, Haddou Bouazza Jihad

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Intelligent Computer Technology-Driven Mural Pattern Recognition Method by Wenqing Wei, Lei Gao

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Improving the Accuracy of Neural Network Pattern Recognition by Fractional Gradient Descent by Ruslan I. Abdulkadirov, Pavel A. Lyakhov, Valentina A. Baboshina, Nikolay N. Nagornov

“…Further research of fractional calculus in modern neural network methodology can improve the quality of solving various challenges such as pattern recognition, time series forecasting, moving object detection, and data generation.…”
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Energy Management Strategy Optimization of HEV based on Driving Pattern Recognition by Liu Yonggang, Xie Qingbo, Qin Datong, Lei Zhenzhen

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Fast and sensitive multivalent spatial pattern-recognition for circular RNA detection by Zhixin Zhou, Bing Han, Yu Wang, Nina Lin, Zhongqiu Zhou, Yuan Zhang, Ying Bai, Ling Shen, Yanfei Shen, Yuanjian Zhang, Honghong Yao

“…The signal output of TDF sensor occurs only when multivalent spatial pattern-recognition of a circRNA in unamplified samples. …”
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Pattern recognition receptors in Crustacea: immunological roles under environmental stress by Jesús Luis Betancourt, Tania Rodríguez-Ramos, Brian Dixon

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Terrorist Group Behavior Prediction by Wavelet Transform-Based Pattern Recognition by Ze Li, Duoyong Sun, Bo Li, Zhanfeng Li, Aobo Li

“…In this paper, we propose a comprehensive framework that combines social network analysis, wavelet transform, and the pattern recognition approach to investigate the dynamics and eventually predict the attack behavior of terrorist group. …”
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Pattern recognition applying LDA and LR to optoelectronic signals of optical scanning systems by J. E. Miranda-Vega, M. Rivas-López, W. Flores-Fuentes, O. Sergiyenko, L. Lindner, J. C. Rodríguez-Quiñonez

“…This paper is a follow-up to previous researches already published regarding the minimization of optical-electrical noise in optical scanning systems OSS, by the implementation of computational techniques for pattern recognition generated by each reference source used to indicate a coordinate that the OSS will be monitoring. …”
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