The Role of Toll-Like Receptor Signaling in the Progression of Heart Failure by Lili Yu, Zhiwei Feng

“…Elevated levels of inflammatory mediators have been identified in patients with HF, which are primarily manifestations of innate immune responses mediated by pattern recognition receptors (PRRs). Toll-like receptors (TLRs), which belong to PRRs, are subjected to the release of pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs) to generate innate immune responses. …”
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Experimental Investigation for Fault Diagnosis Based on a Hybrid Approach Using Wavelet Packet and Support Vector Classification by Pengfei Li, Yongying Jiang, Jiawei Xiang

“…Taking energy ratios as feature vectors, the pattern recognition results are obtained by the SVC. The rolling bearing and gear fault diagnostic results of the typical experimental platform show that the present approach is robust to noise and has higher classification accuracy and, thus, provides a better way to diagnose mechanical faults under the condition of small fault samples.…”
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Extraction of Affine Invariant Features Using Fractal by Jianwei Yang, Guosheng Cheng, Ming Li

“…The derived feature vector is used in question for pattern recognition. Several experiments have been conducted to evaluate the performance of the proposed method. …”
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Fault Diagnosis of Wind Turbine Gearbox based on EEMD Wavelet Threshold Denoising and CS-BP Neural Network by Wang Hongjun, Zhao Yuanlu, Zhao Hui, Yue Youjun

“…The wavelet threshold can better denoise the high frequency components in the EEMD decomposition,and the CS-BP neural network has accurate pattern recognition accuracy and excellent global optimization ability. …”
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Development of a System to Assist Automatic Translation of Hand-Drawn Maps into Tactile Graphics and Its Usability Evaluation by Jianjun Chen, Noboru Takagi

“…In this paper, we first present a pattern recognition method for hand-drawn maps. The usability of our system is then evaluated by comparing it with the two different methods to produce tactile graphics.…”
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TIRAP, TRAM, and Toll-Like Receptors: The Untold Story by Valérie Lannoy, Anthony Côté-Biron, Claude Asselin, Nathalie Rivard

“…Toll-like receptors (TLRs) are the most studied receptors among the pattern recognition receptors (PRRs). They act as microbial sensors, playing major roles in the regulation of the innate immune system. …”
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Cross‐ethnicity face anti‐spoofing recognition challenge: A review by Ajian Liu, Xuan Li, Jun Wan, Yanyan Liang, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li

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Feature Selection Method Based on Artificial Bee Colony Algorithm and Support Vector Machines for Medical Datasets Classification by Mustafa Serter Uzer, Nihat Yilmaz, Onur Inan

“…The results show that the performance of the method is highly successful compared to other results attained and seems very promising for pattern recognition applications.…”
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Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features by Weigang Wen, Zhaoyan Fan, Donald Karg, Weidong Cheng

“…Finally, bearing faults are revealed by pattern recognition. Case studies are carried out to evaluate the validity and accuracy of the approach. …”
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Genetic Diversity of Toll-Like Receptors and Immunity to M. leprae Infection by Bryan E. Hart, Richard I. Tapping

“…Toll-like receptors (TLRs) have emerged as an essential family of innate immune pattern recognition receptors which play a pivotal role in host defense against microbes, including pathogenic strains of mycobacteria. …”
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A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning by Nhat-Duc Hoang, Thanh-Canh Huynh, Xuan-Linh Tran, Van-Duc Tran

“…Subsequently, Salp Swarm Algorithm integrated with multiclass support vector machine is employed for pattern recognition. Based on experimental results, the newly developed method has achieved the most desired predictive performance with an accuracy rate = 91.33% for crack detection and 92.83% for sealed crack detection.…”
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AN IMPROVED FUZZY K-MEANS CLUSTERING ALGORITHM BASED ON WEIGHT ENTROPY MEASUREMENT AND CALINSKI-HARABASZ INDEX by Nguyễn Như Đồng, Phan Thành Huấn

“…Clustering plays an important role in data mining and is applied widely in fields of pattern recognition, computer vision, and fuzzy control. …”
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Use of Directional Spectra for Detection of Engine Cylinder Power Fault by Chong-Won Lee, Yun-Sik Han, Jong-Po Park

“…As spectral estimators, the maximum likelihood and FFT methods are compared, and the multi-layer neural network is employed for pattern recognition. Experimental results show that the success rate for identifying the misfired cylinder is much higher with the use of two-sided directional power spectra than conventional one-sided power spectra.…”
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MEL-IRIS: An Online Tool for Audio Analysis and Music Indexing by Dimitrios Margounakis, Dionysios Politis, Konstantinos Mokos

“…Especially in Music Information Retrieval (MIR), the visualization of the chromatic analysis can be used for comparison, pattern recognition, melodic sequence prediction, and color-based searching. …”
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Improved Convolutional Neural Image Recognition Algorithm based on LeNet-5 by Lijie Zhou, Weihai Yu

“…Convolutional neural network (CNN) is a very important method in deep learning, which solves many complex pattern recognition problems. Fruitful results have been achieved in image recognition, speech recognition, and natural language processing. …”
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Toll-Like Receptors in Hepatic Ischemia/Reperfusion and Transplantation by John Evankovich, Timothy Billiar, Allan Tsung

“…The family of Toll-like receptors (TLRs) function as pattern-recognition receptors (PRRs) that respond to a myriad of highly conserved ligands. …”
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Object Shape Recognition Using Wavelet Descriptors by Adnan Abou Nabout

“…In image processing and pattern recognition, the wavelet transform is used in many applications for image coding as well as feature extraction purposes. …”
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Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural Network by Gao Sujie, Wu Shijing, Zhou Jianhua, Zheng Pan, Chen Ben, Xu Jiacai

“…The extracted feature vectors are used to train the BP neural network and complete the failure pattern recognition test. Taking the EMD permutation entropy method and the non-dimensional analysis method as the comparison groups, the experiment proves that the feature vectors extracted from different working conditions with this method are more distinguishable, and the fault diagnosis effect is better. …”
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Topological Indices of the Pent-Heptagonal Nanosheets VC5C7 and HC5C7 by Fei Deng, Xiujun Zhang, Mehdi Alaeiyan, Abid Mehboob, Mohammad Reza Farahani

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Changing our Diagnostic Paradigm Part II: Movement System Diagnostic Classification by Paula M Ludewig, Gaura Saini, Aaron Hellem, Emily K Kahnert, S Cyrus Rezvanifar, Jonathan P Braman, Justin L Staker

“…Diagnostic classification is a foundational underpinning of providing care of the highest quality and value. Diagnosis is pattern recognition that can result in categories of conditions that ideally direct treatment. …”
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