Rolling Bearing Fault Diagnosis Based on Domain Adaptation and Preferred Feature Selection under Variable Working Conditions by Xiao Yu, Wei Chen, Chuanlong Wu, Enjie Ding, Yuanyuan Tian, Haiwei Zuo, Fei Dong

“…Furthermore, preferred feature selection by fault sensitivity and feature correlation (PSFFC) is embedded into this framework for selecting features which are more beneficial to fault pattern recognition and reduce the redundancy of feature set. …”
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Frequency and Texture Aware Multi-Domain Feature Fusion for Remote Sensing Scene Classification by Russo Ashraf, Kang-Hyun Jo

“…The proposed approach leverages the strengths of convolutional neural networks (CNNs) for spatial information extraction, a novel texture feature alignment block (TFAB) for nuanced texture differentiation, an efficient spectro-former block (ESFB) that uses spectral analysis for enhanced pattern recognition, a cross-domain fusion block (CDFB) and finally, an inception transformer block (iFB) that balances high and low-frequency information. …”
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Interleukin-18 Increases TLR4 and Mannose Receptor Expression and Modulates Cytokine Production in Human Monocytes by Luciane Alarcão Dias-Melicio, Reginaldo Keller Fernandes, Daniela Ramos Rodrigues, Marjorie Assis Golim, Angela Maria Victoriano Campos Soares

“…Taken together, these results show an important role of IL-18 on the early phase of inflammatory response by promoting the expression of some pattern recognition receptors (PRRs) that are important during the microbe recognition phase and by inducing some important cytokines such as TNF-α and IL-10.…”
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Adaptive Extraction of Oil Painting Texture Features Based on Reaction Diffusion Equation by Qicai Huang

“…The oil painting retrieval technology based on the reaction diffusion equation has attracted widespread attention in the fields of oil painting processing and pattern recognition. The description and extraction of oil painting information and the classification method of oil paintings are two important processes in content-based oil painting retrieval. …”
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Th1/17-Biased Inflammatory Environment Associated with COPD Alters the Response of Airway Epithelial Cells to Viral and Bacterial Stimuli by Yifan Chen, Rakesh K. Kumar, Paul S. Thomas, Cristan Herbert

“…Furthermore, increased expression of pattern recognition receptors for viruses (TLR3, TLR7, IFIH1, and DDX58) was induced by Th1/17 cytokines, in both primary AECs and Calu-3 cells. …”
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Bearing Fault Classification Using Improved Antlion Optimizer and Extreme Learning Machine by Zhuanzhe Zhao, Yu Zhang, Qiang Ma, Yujian Rui, Guowen Ye, Mengxian Wang, Yongming Liu, Zhen Zhang, Neng Wei, Zhijian Tu

“…Secondly, in order to solve the disadvantage that extreme learning machine (ELM) network is easy to fall into local optimization, this ELALO algorithm is used to initialize the weights and thresholds of its network and to form the new pattern recognition model, ELALO-ELM. Finally, the bearing data of 8 patterns from Western Reserve University are decomposed by local mean decomposition (LMD), and then the symbolic entropy (SE) of the first three product function (PF) components signals is extracted and used as the input eigenvectors. …”
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Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning by Maohua Du, Peixin Wang, Junhua Wang, Zheng Cheng, Shensong Wang

“…Based on LabVIEW and MATLAB hybrid programming, the waveforms of signals are observed and the significant characteristics of signals are extracted through the time-frequency domain analysis and then the calculation of the energy proportion of each frequency band obtained using 4 levels of wavelet packet decompositions of the vibration signal as well as 8 levels of wavelet multiresolution decompositions of the AE signal; the ensuing Relief-F algorithm is used to further reextract the features that are most relevant to the tool state as input of neural network pattern recognition. Through the BP neural network adaptive learning, tool state recognition model is finally established. …”
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The volatilome – investigation of volatile organic metabolites (VOM) as potential tumor markers in patients with head and neck squamous cell carcinoma (HNSCC) by Philipp Opitz, Olf Herbarth

“…For multivariate metabolite pattern recognition the hierarchical cluster analysis by Ward was applied, followed by the supervised partial least squares-discriminant analysis (PLS-DA). …”
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Remodeling the light-adapted electroretinogram using a bayesian statistical approach by Marek Brabec, Fernando Marmolejo-Ramos, Lynne Loh, Irene O. Lee, Mikhail Kulyabin, Aleksei Zhdanov, Hugo Posada-Quintero, Dorothy A. Thompson, Paul A. Constable

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Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy by Sadia Zafar, Muhammad Asif, Maaz Bin Ahmad, Taher M. Ghazal, Tauqeer Faiz, Munir Ahmad, Muhammad Adnan Khan

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Spectral-Spatial Hyperspectral Image Semisupervised Classification by Fusing Maximum Noise Fraction and Adaptive Random Multigraphs by Eryang Chen, Ruichun Chang, Kaibo Shi, Ansheng Ye, Fang Miao, Jianghong Yuan, Ke Guo, Youhua Wei, Yiping Li

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Fake News Detection and Classification: A Comparative Study of Convolutional Neural Networks, Large Language Models, and Natural Language Processing Models by Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios K. Nasiopoulos

“…Each model brings unique strengths to the task, from CNNs’ pattern recognition capabilities to BERT and GPTs’ contextual understanding in the embedding space. …”
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Innate Immune Recognition of Mycobacterium tuberculosis by Johanneke Kleinnijenhuis, Marije Oosting, Leo A. B. Joosten, Mihai G. Netea, Reinout Van Crevel

“…Several classes of pattern recognition receptors (PPRs) are involved in the recognition of M. tuberculosis, including Toll-like receptors (TLRs), C-type lectin receptors (CLRs), and Nod-like receptors (NLRs). …”
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Didactic potential of metaphors used in medical discourse by Katarzyna Karska, Ewelina Prażmo

“…This drive for pattern recognition helps us understand the unknown in terms of the familiar, the abstract in terms of the concrete. …”
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VisGraphVar: A benchmark generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models by Camilo Chacon Sartori, Christian Blum, Filippo Bistaffa

“…In response to these challenges, we introduce <monospace>VisGraphVar</monospace> (Visual Graph Variability), a customizable benchmark generator able to produce graph images for seven distinct task categories (detection, classification, segmentation, pattern recognition, link prediction, reasoning, matching), designed to systematically evaluate the strengths and limitations of individual LVLMs. …”
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The Plasticity of Brain Gray Matter and White Matter following Lower Limb Amputation by Guangyao Jiang, Xuntao Yin, Chuanming Li, Lei Li, Lu Zhao, Alan C. Evans, Tianzi Jiang, Jixiang Wu, Jian Wang

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Sistem Pengenalan Wajah 3D Menggunakan ICP dan SVM by Nadya Viana De Lima, Ledya Novamizanti, Eko Susatio

“…The final result of this study is an application that is able to identify 3D face pattern recognition. Based on the confusion matrix, found that this system works with 97.30% precision, recall 100.00%, 97.56% accuracy in image frame capture as much as 48 iterations to 49, the partition 12, and using the SVM-type OAA. …”
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Computational thinking in the context of higher education: Analytical review by E. K. Khenner

“…In computational thinking, cognitive skills include abstraction, decomposition, pattern recognition, algorithmisation, visualisation, logical thinking, communicative competence, the ability to present, structure and analyse data, and some others skills. …”
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Elucidation of the Molecular Interaction between miRNAs and the Gene, Involved in Acute Myeloid Leukemia, by the Assistance of Argonaute Protein through a Computational Approach by Rohit Pritam Das, V. Badireenath Konkimalla, Surya Narayan Rath, Jagadish Hansa, Manaswini Jagdeb

“…By understanding pattern recognition between the miRNAs-mRNA complex and its binding affinity with AGO protein, one can decipher the regulation of a particular gene and develop suitable siRNA for the same in disease condition. …”
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Semantic-Injected Bidirectional Multiscale Flow Estimation Network for Infrared and Visible Image Registration by Chunna Tian, Liuwei Xu, Xiangyang Li, Heng Zhou, Xiqun Song

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