EFFECT OF VIEWING ANGLE OF IR THERMOGRAPHY CAMERA FOR THE DETECTION OF LANDMINE by Moustafa M. Kurdi

“…In recent years, a number of studies have tried to overcome these limitations and improve the reliability of this method, using filtering and automatic pattern recognition techniques, specific for the detection of buried objects. …”
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RESEARCH ON FAULT DIAGNOSIS METHOD BASED ON NEIGHBORHOOD ADAPTIVE LLTSA FOR DIMENSION REDUTION by XU QiongYan, WU YinHua

“…Finally,the corresponding relationship between low-dimensional feature and fault classes are established by using support vector machine（ SVM）.Dimension reduction with NA-LLTSA can effectively increase the discrimination of fault feature,and furthermore,SVM can further improve fault diagnosis accuracy with its excellent pattern recognition capacity. Finally,the effectiveness of the proposed method was verified through the fault diagnosis experiment of rolling bearing.…”
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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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Feature Extraction and Wear Damage Degree Identification of Planetary Gear based on PSO-FC Optimization KPCA by Yan He, Zongyan Wang

“…The optimization mathematical model of the kernel function scale parameter is constructed by means of Fisher criterion（FC） discriminate function in pattern recognition， and the improved particle swarm optimization method is applied to the optimization to fully improve the analysis performance of the kernel principal component analysis（KPCA） for nonlinear problem. …”
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Performance Evaluation of Laboratory Management System Based on BP Neural Network by Anjie Su, Zhigang Wu, Yifeng Yin

“…It has been widely used in the field of numerical prediction and pattern recognition. Based on the exploration of neural network, this paper combines BP neural network with performance evaluation and applies BP neural network to the performance evaluation of university laboratories. …”
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New Types of μ-Proximity Spaces and Their Applications by Rodyna A. Hosny, Tareq M. Al-shami, Abdelwaheb Mhemdi

“…Currently, descriptive near sets were presented as a tool of solving classification and pattern recognition problems emerging from disjoint sets; hence, a new approach to basic μ-proximity structures, which depend on the realization of the structures in the theory of hereditary classes, is introduced. …”
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A Neural-Wavelet Technique for Damage Identification in the ASCE Benchmark Structure Using Phase II Experimental Data by Mahmoud M. Reda Taha

“…Damage pattern recognition research represents one of the most challenging tasks in structural health monitoring (SHM). …”
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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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Degradation Assessment and Fault Diagnosis for Roller Bearing Based on AR Model and Fuzzy Cluster Analysis by Lingli Jiang, Yilun Liu, Xuejun Li, Anhua Chen

“…Consequently, the AR parameters are taken as the feature vectors, and fuzzy cluster analysis is applied to perform classification and pattern recognition. Experiments analysis results show that the proposed method can be used to identify various types and severities of fault bearings. …”
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Research progress and trends of deep learning based wireless communication receiving method by Panpan LI, Zhengxia XIE, Guangxue YUE, Xin LIU

“…With the continues expansion of the application boundary for wireless communications, the application environment of wireless communications is becoming increasingly complex and diverse, which faces negative impacts such as radio frequency (RF) damage, channel fading, interference and noise.It brings difficulties to recover the original information at the receiver.Drawing from the research results of deep learning methods in computer vision, pattern recognition, natural language processing and other fields, wireless communication reception technology based on deep learning has received wide attentions from both academia and industry.Firstly, the current research status of wireless communication reception technology based on deep learning at home and abroad was described.Secondly, the current technical challenges of wireless communication reception in the context of signal big data were outlined, and a reference architecture of intelligent wireless communication reception based on deep neural network was proposed.Finally, the development trend of intelligent wireless communication reception method in the context of signal big data was discussed.It is expected to provide reference for the research and development of wireless communication technology based on deep learning.…”
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Toll-Like Receptor 2 as a Regulator of Oral Tolerance in the Gastrointestinal Tract by Matthew C. Tunis, Jean S. Marshall

“…It has been proposed in the “hygiene hypothesis” that dysregulated immune responses to environmental microbial stimuli may modify the balance between tolerance and sensitization in some patients. Of the pattern recognition receptors that respond to microbial signals, toll-like receptors (TLRs) represent the most investigated group. …”
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Toll-Like Receptors and RIG-I-Like Receptors Play Important Roles in Resisting Flavivirus by Hong-Yan Guo, Xing-Cui Zhang, Ren-Yong Jia

“…Toll-like receptors (TLRs) and retinoic acid-inducible gene I- (RIG-I-) like receptors (RLRs) are crucial pattern recognition receptors (PRRs) that play essential roles in recognizing and clearing pathogens, including resisting flavivirus. …”
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Analysis of the Occurrence Mechanism for Coal and Gas Outburst Based on Multiple Discriminant Indices by Hai Rong, Hongwei Zhang, Bing Liang, Weihua Song

“…Based on the geological and mining conditions of the coal mine, the gas geological analysis method is applied to determine the outburst occurrence and to classify the risk levels. A multifactor pattern recognition method is used to determine the risk probability of the dynamic disasters such as coal and gas outburst. …”
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Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams by Ammar Akram Abdulrazzaq, Asaad T. Al-Douri, Abdulsattar Abdullah Hamad, Mustafa Musa Jaber, Zelalem Meraf

“…The current process for diagnosis still depends on an analysis of parasitological exams performed by a human being under a laboratory microscope. The area of pattern recognition in images presents itself as a promising alternative to support and automate image-based exams, and deep learning techniques have been successfully applied for this purpose. …”
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A Review of Subsequence Time Series Clustering by Seyedjamal Zolhavarieh, Saeed Aghabozorgi, Ying Wah Teh

“…One of the useful fields in the domain of subsequence time series clustering is pattern recognition. To improve this field, a sequence of time series data is used. …”
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Autophagy in Macrophages: Impacting Inflammation and Bacterial Infection by Ali Vural, John H. Kehrl

“…They possess an array of germline-encoded pattern recognition receptors/sensors (PRRs) that recognize pathogen-associated molecular patterns (PAMPs) and which activate downstream effectors/pathways to help mediate innate immune responses and host defense. …”
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All-optical pattern matching system of 42 Gbit/s 4-bit BPSK signals and its demonstration for optoelectronic firewall by Qihan ZHANG, Xiaoxue GONG, Rui LI, Xin LI, Shanguo HUANG, Lei GUO

“…To achieve the all-optical pattern matching for optoelectronic firewall which could process high-speed optical signals efficiently, a BPSK all-optical pattern recognition system with the data rate up to 42 Gbit/s was proposed and demonstrated by employing the commercial optical components.First, the input BPSK sequence was converted to a positive and a negative IM signals by adding in-phase and inverse-phase coherent carriers, respectively.Then the converted IM signals were coupled into time delay lines and optical AND logic gates implemented by HNLF to achieve the optical correlation operation.In the end, a high-level optical pulse indicating the pattern matched result was output.The numerical simulation and the experiment results demonstrate that the proposed system can recognize a 4-bit target BPSK sequence from an 8-bit 42 Gbit/s BPSK input sequence, which proves the feasibility of the all-optical pattern matching of BPSK signals and can be applied to high-speed optoelectronic firewall.…”
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A multi-year campus-level smart meter database by Mingchen Li, Zhe Wang, Yao Qu, Kin Ming Chui, Marcus Leung-Shea

“…This dataset supports various research tasks, including load pattern recognition, fault detection, demand response strategies, and load forecasting.…”
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The Opportunistic Pathogen Listeria monocytogenes: Pathogenicity and Interaction with the Mucosal Immune System by Markus Schuppler, Martin J. Loessner

“…The integrity of the important epithelial barrier is maintained by the mucosal immune system and its interaction with the commensal flora via pattern recognition receptors (PRRs). Here, we discuss recent advances in our understanding of the interaction of L. monocytogenes with the host immune system that triggers the antibacterial immune responses on the mucosal surfaces of the human gastrointestinal tract.…”
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A Novel Method for Functional Annotation Prediction Based on Combination of Classification Methods by Jaehee Jung, Heung Ki Lee, Gangman Yi

“…To define the relationship between IPR and GO terms, three pattern recognition techniques have been employed under different conditions, such as feature selection and weighted value, instead of a binary one.…”
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