APPROXIMATELY SINGULAR WAVELET by V. M. Romanchak

“…The universal algorithm of approximation makes it possible to apply it to approximate one-dimensional and multidimensional functions, in decision support systems, in the processing of stochastic information, pattern recognition, and solution of boundary-value problems.The introduction explain the idea of the method of singular wavelets – to combine the theory of wavelets with the Nadaraya-Watson kernel regression estimator. …”
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Transfer Learning-Based Bhutanese Currency Recognition by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“…Currency recognition is an important field in the area of pattern recognition. Recent improvements in the field of deep learning have increased its ability to recognize complex features from images. …”
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Smart Shift Decision Method Based on Stacked Autoencoders by Zengcai Wang, Yazhou Qi, Guoxin Zhang, Lei Zhao

“…The output type of SAE is determined through a comparative experiment on pattern recognition and multifitting. Meanwhile, the network structure of SAE is determined through a comparative experiment on simple and deep-learning neural networks. …”
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Resonant Frequency Calculation and Optimal Design of Peano Fractal Antenna for Partial Discharge Detection by Jian Li, Changkui Cheng, Lianwei Bao, Tianyan Jiang

“…The experimental results show that Peano fractal antenna is qualified for PD online UHF monitoring and a little more suitable than the Hilbert fractal antenna for pattern recognition by analyzing the waveforms of detected UHF PD signals.…”
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The Potential of Using Brain Images for Authentication by Fanglin Chen, Zongtan Zhou, Hui Shen, Dewen Hu

“…Though currently the acquisition of the brain is still time consuming and expensive, brain images are highly unique and have the potential possibility for authentication in view of pattern recognition.…”
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Demonstration of Emulator-Based Bayesian Calibration of Safety Analysis Codes: Theory and Formulation by Joseph P. Yurko, Jacopo Buongiorno, Robert Youngblood

“…The present work describes the formulation of an emulator that incorporates GPs into a factor analysis-type or pattern recognition-type model. This “function factorization” Gaussian Process (FFGP) model allows overcoming limitations present in standard GP emulators, thereby improving both accuracy and speed of the emulator-based calibration process. …”
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Simulating Crowd Evacuation in a Social Force Model with Iterative Extended State Observer by Juan Wei, Wenjie Fan, Zhongyu Li, Yangyong Guo, Yuanyuan Fang, Jierui Wang

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Multiple Factors Determine the Oncolytic or Carcinogenic Effects of TLRs Activation in Cancer by Yingxiang Yang, Chengyue Jin, Anthony Yeo, Bo Jin

“…Toll-like receptors (TLRs) belong to a germline-encoded protein family. These are pattern recognition receptors. They sense pathogen-associated molecular patterns (PAMPs). …”
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Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach by Camilo Chacon Sartori, Christian Blum, Filippo Bistaffa, Guillem Rodriguez Corominas

“…This paper introduces a novel approach that leverages LLMs as pattern recognition tools to improve MHs. The resulting hybrid method, tested in the context of a social network-based combinatorial optimization problem, outperforms existing state-of-the-art approaches that combine machine learning with MHs regarding the obtained solution quality. …”
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Vitamin D in Early Childhood and the Effect on Immunity to Mycobacterium tuberculosis by Anna Jane Battersby, Beate Kampmann, Sarah Burl

“…Antimicrobial peptides are induced in conjunction with stimulation of innate pattern recognition receptors enhancing immunity to particular infections. …”
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Physical Activity during Pregnancy: Impact of Applying Different Physical Activity Guidelines by Katie M. Smith, Christina G. Campbell

“…A longitudinal study was conducted to assess PA using a pattern-recognition monitor for a 7-day period at week 18 () and week 35 () of pregnancy. …”
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Optimizing biochar for carbon sequestration: a synergistic approach using machine learning and natural language processing by Jiayi Li, Yixuan Chen, Chaojie Wang, Hanbo Chen, Yurong Gao, Jun Meng, Zhongyuan Han, Lukas Van Zwieten, Yi He, Caibin Li, Gerard Cornelissen, Hailong Wang

“…Machine learning (ML) and natural language processing (NLP) offer solutions through enhanced data analysis and pattern recognition, ushering in a new era of biochar research. …”
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A Complete Subspace Analysis of Linear Discriminant Analysis and Its Robust Implementation by Zhicheng Lu, Zhizheng Liang

“…Linear discriminant analysis has been widely studied in data mining and pattern recognition. However, when performing the eigen-decomposition on the matrix pair (within-class scatter matrix and between-class scatter matrix) in some cases, one can find that there exist some degenerated eigenvalues, thereby resulting in indistinguishability of information from the eigen-subspace corresponding to some degenerated eigenvalue. …”
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Research on Spatial and Dynamic Planning Methods for Settlement Buildings Based on Data Mining by Lin Chen, Xiaolong Chen, Hongxin Wang, Lin Zhu, Lingyun Lang

“…Aiming at the intersection graph and direction relation graph of straight line pattern, grid pattern recognition is realized by solving the connectivity, intersection, and subsequent construction of the maximum complete subgraph. …”
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A Bioinspired Methodology Based on an Artificial Immune System for Damage Detection in Structural Health Monitoring by Maribel Anaya, Diego A. Tibaduiza, Francesc Pozo

“…The approach followed in this paper is a data-based approach based on AIS, where sensor data fusion, feature extraction, and pattern recognition are evaluated. One of the key advantages of the proposed methodology is that the need to develop and validate a mathematical model is eliminated. …”
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Natural Neighborhood-Based Classification Algorithm Without Parameter k by Ji Feng, Yan Wei, Qingsheng Zhu

“…Various kinds of k-Nearest Neighbor (KNN) based classification methods are the bases of many well-established and high-performance pattern recognition techniques. However, such methods are vulnerable to parameter choice. …”
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Comparison of Matrix Decomposition in Null Space-Based LDA Method by Carissa Devina Usman, Farikhin, Titi Udjiani

“…Problems with small sample sizes and high dimensionality are common in pattern recognition. Almost all machine learning algorithms degrade in high-dimensional data, so that singularities in the scatter matrices, the main problem of the Linear Discriminant Analysis (LDA) technique, might result. …”
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Inflammation and Immune Response in COPD: Where Do We Stand? by Nikoletta Rovina, Antonia Koutsoukou, Nikolaos G. Koulouris

“…Cigarette smoke activates innate immune cells by triggering pattern recognition receptors (PRRs) to release “danger signal”. …”
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Knee Joint Biomechanical Gait Data Classification for Knee Pathology Assessment: A Literature Review by Mariem Abid, Neila Mezghani, Amar Mitiche

“…The review is prefaced by a presentation of the prerequisite knee joint biomechanics background and a description of biomechanical gait pattern recognition as a diagnostic tool. It is postfaced by discussions that highlight the current research findings and future directions. …”
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A Comparative Study of Three Resolving Parameters of Graphs by Hafiz Muhammad Ikhlaq, Hafiz Muhammad Afzal Siddiqui, Muhammad Imran

“…The parameters computed in this article are very useful in pattern recognition and image processing. A number df,w=mindw,t,dw,s is referred as distance between f=ts an edge and w a vertex. dw,f1≠dw,f2 implies that two edges f1,f2∈E are resolved by node w∈V. …”
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