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201
Viruses Seen by Our Cells: The Role of Viral RNA Sensors
Published 2018-01-01“…Different receptors, known as pattern recognition receptors (PRRs), are present in the cytoplasm, endosomes, and on the cellular surface. …”
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202
The Role of Toll-Like Receptor 4 in Infectious and Noninfectious Inflammation
Published 2016-01-01“…Toll-like receptor 4 (TLR4) belongs to the family of pattern recognition receptors (PRRs). They are highly conserved receptors that recognize conserved pathogen-associated molecular patterns (PAMPs), thus representing the first line of defense against infections. …”
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203
The Advances in Neuromorphic Computing and Brain-Inspired Systems (ANCBIS).
Published 2025-01-01“…Key technologies such as memristive devices, spiking neural networks, and brain-inspired learning algorithms show promise in applications like pattern recognition, sensory processing, and autonomous decision-making. …”
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204
FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED LLTSA FOR DIMENSION REDUCTION
Published 2017-01-01“…Dimension reduction with SS-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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205
Identifying preseizure state in intracranial EEG data using diffusion kernels
Published 2013-03-01“…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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206
A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System
Published 2015-01-01“…FLCs have been widely used in many applications in diverse areas, such as control system, pattern recognition, signal processing, and forecasting. …”
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207
Kinematic Analysis and Optimization of Jerk Considering Elasticity of Weightlifting Bar and Damping Effect of Body in Clean and Jerk
Published 2025-01-01“…First of all, barbell's trajectory, which leads to derivation of barbell's velocity and acceleration over time, is tracked by using image processing technology such as pattern recognition from video clip filmed the lifter's performance. …”
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208
Dynamics Modeling and Parameters Identification Research on Rope Driven Biped Robot Legs
Published 2024-08-01“…Firstly, a complete rope driven dynamic model is established, and the excitation trajectory generated by pattern recognition and algorithm optimization is used. …”
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209
A Single Platinum Microelectrode for Identifying Soft Drink Samples
Published 2012-01-01“…Cyclic voltammograms recorded with a single platinum microelectrode were used along with a non-supervised pattern recognition, namely, Principal Component Analysis, to conduct a qualitative analysis of sixteen different brands of carbonated soft drinks (Kuat, Soda Antarctica, H2OH!…”
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210
Ficolins and the Recognition of Pathogenic Microorganisms: An Overview of the Innate Immune Response and Contribution of Single Nucleotide Polymorphisms
Published 2019-01-01“…Ficolins are innate pattern recognition receptors (PRR) and play integral roles within the innate immune response to numerous pathogens throughout the circulation, as well as within organs. …”
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211
Is Single-View Fluoroscopy Sufficient in Guiding Cardiac Ablation Procedures?
Published 2010-01-01“…To obtain 3D geometrical data from catheter locations inside the heart chamber, we acquired only single-view images using an Integris Allura fluoroscope and estimated the depth of the mapping electrode using pattern recognition techniques. Validation was performed in ideal and clinical conditions. …”
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212
Monitoring Changes in Clustering Solutions: A Review of Models and Applications
Published 2023-01-01“…A few applications include pattern recognition, knowledge discovery, and market segmentation. …”
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213
Rolling Element Bearing Fault Recognition Approach Based on Fuzzy Clustering Bispectrum Estimation
Published 2013-01-01“…At last, by calculating the distances between test samples' binary feature images and the different object templates, the object classification and pattern recognition can be effectively accomplished. Bearing is the most important and much easier to be damaged component in rotating machinery. …”
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214
Graph Geometric Algebra networks for graph representation learning
Published 2025-01-01“…They have been widely used in pattern recognition tasks including node and graph label prediction. …”
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215
Learning-Based Spectrum Sensing for Cognitive Radio Systems
Published 2012-01-01“…This paper presents a novel pattern recognition approach to spectrum sensing in collaborative cognitive radio systems. …”
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216
Cloud-Based Framework for COVID-19 Detection through Feature Fusion with Bootstrap Aggregated Extreme Learning Machine
Published 2022-01-01“…An extreme learning machine (ELM) is a neural network modification with a high capability for pattern recognition and classification problems for COVID-19 detection. …”
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217
Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring
Published 2006-01-01“…The authors' approach is to address the SHM problem in the context of a statistical pattern recognition paradigm. In this paradigm, the process can be broken down into four parts: (1) Operational Evaluation, (2) Data Acquisition and Cleansing, (3) Feature Extraction and Data Compression, and (4) Statistical Model Development for Feature Discrimination. …”
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218
Research on Orbital Angular Momentum Mode Detection in an Atmospheric Environment with Fusion Transfer Learning
Published 2024-12-01“…At the same time, the phase wavefront distortion caused by atmospheric turbulence (AT) further increases the difficulty of OAM pattern recognition. This article introduces transfer learning into the field of OAM modal detection and establishes an OAM modal classifier for detecting the topological charge of distorted vortex beams. …”
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219
Fault Diagnosis of Train Axle Box Bearing Based on Multifeature Parameters
Published 2015-01-01“…In the third part, a fault classifier based on BP neural network is designed for automatic fault pattern recognition. A series of tests are carried out to verify the proposed method, which show that the accuracy is above 90%.…”
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220
Dynamics of ultrafast laser introduced breakdown in water and ethanol
Published 2025-01-01Get full text
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