A data-driven methodology for the classification of different liquids in artificial taste recognition applications with a pulse voltammetric electronic tongue by Jersson X Leon-Medina, Leydi J Cardenas-Flechas, Diego A Tibaduiza

“…However, one of the problems in the use of this kind of device is associated with the development of reliable pattern recognition algorithms and robust data analysis. …”
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Phased Fractional Low-Order Moment-Based Doppler Shift Estimation in the Presence of Interference Signals and Impulsive Noise by Bo Ni, Mengjia Wang, Jiacheng Zhang, Ying Zhang, Tao Liu

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De novo design of protein minibinder agonists of TLR3 by Chloe S. Adams, Hyojin Kim, Abigail E. Burtner, Dong Sun Lee, Craig Dobbins, Cameron Criswell, Brian Coventry, Adri Tran-Pearson, Ho Min Kim, Neil P. King

“…Abstract Toll-like Receptor 3 (TLR3) is a pattern recognition receptor that initiates antiviral immune responses upon binding double-stranded RNA (dsRNA). …”
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Support Vector Machine Based on Adaptive Acceleration Particle Swarm Optimization by Mohammed Hasan Abdulameer, Siti Norul Huda Sheikh Abdullah, Zulaiha Ali Othman

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Sparse Deep Nonnegative Matrix Factorization by Zhenxing Guo, Shihua Zhang

“…Nonnegative Matrix Factorization (NMF) is a powerful technique to perform dimension reduction and pattern recognition through single-layer data representation learning. …”
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Long Short-Term Memory Projection Recurrent Neural Network Architectures for Piano’s Continuous Note Recognition by YuKang Jia, Zhicheng Wu, Yanyan Xu, Dengfeng Ke, Kaile Su

“…As LSTM and LSTMP have performed well in pattern recognition, in this paper, we combine them with Connectionist Temporal Classification (CTC) to study piano’s continuous note recognition for robotics. …”
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Potential Locations of Strong Earthquakes in Bulgaria and the Neighbouring Regions by Alexander I. Gorshkov, Olga V. Novikova, Sonya Y. Dimitrova, Lyuba D. Dimova, Reneta B. Raykova

“…This study presents the application of a phenomenological approach based on pattern recognition to determine the possible locations of strong earthquakes in the Bulgarian region. …”
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Dynamic Warping Network for Semantic Video Segmentation by Jiangyun Li, Yikai Zhao, Xingjian He, Xinxin Zhu, Jing Liu

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Pre-trained artificial intelligence-aided analysis of nanoparticles using the segment anything model by Gabriel A. A. Monteiro, Bruno A. A. Monteiro, Jefersson A. dos Santos, Alexander Wittemann

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Recognition Algorithm of Acoustic Emission Signals Based on Conditional Random Field Model in Storage Tank Floor Inspection Using Inner Detector by Yibo Li, Yuxiang Zhang, Huiyu Zhu, Rongxin Yan, Yuanyuan Liu, Liying Sun, Zhoumo Zeng

“…To solve this problem, a novel AE inner detector, which works inside the storage tank, is adopted and a pattern recognition algorithm based on CRF (Conditional Random Field) model is presented. …”
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Face Boundary Formulation for Harmonic Models: Face Image Resembling by Hung-Tsai Huang, Zi-Cai Li, Yimin Wei, Ching Yee Suen

“…The boundary and numerical techniques of face images in this paper can be used not only for pattern recognition but also for face morphing, morphing attack detection (MAD), and computer animation as Sora to greatly enhance further developments in AI.…”
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Point Pattern Matching Algorithm for Planar Point Sets under Euclidean Transform by Xiaoyun Wang, Xianquan Zhang

“…Point pattern matching is an important topic of computer vision and pattern recognition. In this paper, we propose a point pattern matching algorithm for two planar point sets under Euclidean transform. …”
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Research of the Fault Feature Extraction of Rolling Bearing based on Image Processing by Zhang Qiantu, Fang Liqing

“…The feature extraction is crucial for fault diagnosis,although the existing feature extraction methods in time domain,frequency domain and time-frequency domain are effective,it is also necessary to find new methods in other domain.On the basis of the characteristic of snow images generated by analyzing SDP（Symmetrized Dot Pattern）method,a feature extraction method based on image processing are put forward.Firstly,the original vibration signals are transformed into snow images in polar coordinate by SDP method.Then,the shape features of the snow images in different fault pattern of rolling bearing are extracted by using image processing technology,and the characteristic parameters are analyzed.Finally,BP network are created to realize fault pattern recognition.The experimental results show that this method is effective.…”
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Fuzzy Lattice Reasoning for Pattern Classification Using a New Positive Valuation Function by Yazdan Jamshidi Khezeli, Hossein Nezamabadi-pour

“…The effectiveness of the modified FLR is demonstrated by examples on several well-known pattern recognition benchmarks.…”
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FAULT DIAGNOSIS OF HYDRAULIC PUMP BASED ON SDP IMAGE FEATURE AND ANNC by LIU Jian

“…Aiming at the key steps of hydraulic pump fault diagnosis such as feature extraction and pattern recognition, a fault diagnosis method of hydraulic pump based on symmetrized dot pattern（SDP） image feature and adaptive nearest neighbor classifier（ANNC） is introduced in this paper. …”
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Innate Immunity and Neuroinflammation by Abhishek Shastri, Domenico Marco Bonifati, Uday Kishore

“…Innate immune system consisting of pattern-recognition receptors, macrophages, and complement system plays a key role in CNS homeostasis following injury and infection. …”
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Big Data Deep Learning: Challenges and Perspectives by Xue-Wen Chen, Xiaotong Lin

“…Deep learning is currently an extremely active research area in machine learning and pattern recognition society. It has gained huge successes in a broad area of applications such as speech recognition, computer vision, and natural language processing. …”
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Automatic Cell Segmentation in Cyto- and Histometry Using Dominant Contour Feature Points by U. Pal, Karsten Rodenacker, B. B. Chaudhuri

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Research onconvolutional neural network for reservoir parameter prediction by You-xiang DUAN, Gen-tian LI, Qi-feng SUN

“…As the branch of artificial intelligence,artificial neural network solved many difficult practical problems in pattern recognition and classification prediction field successfully.However,they cannot learn the feature from networks.In recent years,deep learning becomes more and more advanced,but the research on the field of geological reservoir pa-rameter prediction is still rare.A method to predict reservoir parameters by convolutional neural network was presented,which can not only predict reservoir parameters accurately,but also get features of the geological reservoir.The study es-tablished the convolutional neural network model.Results show that the convolutional neural network can be used for reservoir parameter prediction,and get high prediction precision.Moreover,convolutional features from convolutional neural network provided important support for geological modeling and logging interpretation.…”
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Evaluation Model of Eco-Environmental Economic Benefit Based on the Fuzzy Algorithm by Ming Gao, Xiaojing Lu

“…Simultaneously, by evaluating the method using the analytic hierarchy process and fuzzy optimum seeking method, linear comprehensive fuzzy optimization, average comprehensive fuzzy optimization, and variable fuzzy pattern recognition model of optimizing method, the results demonstrate that the method not only can be used to plan optimization but can also provide a good evaluation for each program, the result is reasonable and reliable, and applicable to the comprehensive benefits of water resource management.…”
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