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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Rolling Bearing Fault Diagnosis Method Based on Multisynchrosqueezing S Transform and Faster Dictionary Learning by Guodong Sun, Ye Hu, Bo Wu, Hongyu Zhou

“…Then, the local binary pattern (LBP) operator is introduced to extract the low-dimensional texture features of time-frequency images, which improves the speed of fault recognition. …”
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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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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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Classification of Alzheimer's disease using unsupervised diffusion component analysis by Dominique Duncan, Thomas Strohmer

“…Unsupervised Diffusion Component Analysis, a novel approach based on the diffusion mapping framework, reduces data dimensionality and provides pattern recognition that can be used to distinguish AD brains from healthy brains. …”
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Current understanding of immune-like responses in worms by Abdul Qadeer, Guofeng Cheng

“…Next, we reviewed the diversity of pattern recognition receptors (PRRs), immune effectors, and signaling pathways in invertebrates to gain insights into their roles in pathogen resistance and long-lasting inducible protection. …”
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Rolling Bearing Fault Diagnostic Method Based on VMD-AR Model and Random Forest Classifier by Te Han, Dongxiang Jiang

“…Thirdly, the parameters and remnant of AR model served as fault characteristic vectors. 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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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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Forest Fire Smoke Video Detection Using Spatiotemporal and Dynamic Texture Features by Yaqin Zhao, Zhong Zhou, Mingming Xu

“…This paper presents a novel forest fire smoke video detection based on spatiotemporal features and dynamic texture features. …”
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Identifying preseizure state in intracranial EEG data using diffusion kernels by Dominique Duncan, Ronen Talmon, Hitten P. Zaveri, Ronald R. Coifman

“…Diffusion mapping provides dimensionality reduction of the data as well as pattern recognition that can be used to distinguish different states of the patient, for example, interictal and preseizure. …”
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Learning-Based Spectrum Sensing for Cognitive Radio Systems by Yasmin Hassan, Mohamed El-Tarhuni, Khaled Assaleh

“…This paper presents a novel pattern recognition approach to spectrum sensing in collaborative cognitive radio systems. …”
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Effects of Microbes on Insect Host Physiology and Behavior Mediated by the Host Immune System by Shan Zhang, Zhengyan Wang, Qiong Luo, Lizhen Zhou, Xin Du, Yonglin Ren

“…Insects recognize environmental pathogens through pattern recognition receptors, thus activating the innate immune system to eliminate pathogens. …”
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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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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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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. …”
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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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Nuclear Alarmin Cytokines in Inflammation by Lili Jiang, Yijia Shao, Yao Tian, Changsheng Ouyang, Xiaohua Wang

“…Pathogen-associated molecular patterns (PAMPs) are some nonspecific and highly conserved molecular structures of exogenous specific microbial pathogens, whose products can be recognized by pattern recognition receptor (PRR) on innate immune cells and induce an inflammatory response. …”
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Laser Desorption-Ion Mobility Spectrometry of Explosives for Forensic and Security Applications by Giorgio Felizzato, Martin Sabo, Matej Petrìk, Francesco Saverio Romolo

“…Chemometric approaches, including multivariate data analysis, were utilised for data processing and interpretation, including pre-processing of raw IMS plasmagrams and various pattern recognition techniques, such as linear discriminant analysis (LDA) and support vector machines (SVMs). …”
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Combination of gray level features with deep transfer learning for copra classification using machine learning and neural networks by A. Stephen Sagayaraj, T. Kalavathi Devi

“…Among the classifiers tested, Neural Network-based Pattern Recognition (NNPR) achieved the highest accuracy of 99.6%, sensitivity of 99.64%, specificity of 99.64%, F1-Score of 99.6, and a Kappa score of 0.99, demonstrating its superior performance. …”
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