AnatomyOrganismsChemicals and DrugsAnalytical, Diagnostic and Therapeutic Techniques and EquipmentPsychiatry and PsychologyPhenomena and ProcessesDisciplines and OccupationsAnthropology, Education, Sociology and Social PhenomenaTechnology, Industry, AgricultureInformation ScienceHealth Care
AlgorithmsComputersComputer SimulationProtein Sorting SignalsSoftwareSignal Processing, Computer-AssistedSignal TransductionReproducibility of ResultsGene FrequencyComputational BiologyAttitude to ComputersPattern Recognition, AutomatedModels, BiologicalMolecular Sequence DataImage Processing, Computer-AssistedModels, StatisticalTime FactorsComputer PeripheralsSensitivity and SpecificityArtificial IntelligenceDiagnosis, Computer-AssistedModels, GeneticComputer LiteracyComputer SystemsBase SequenceModels, TheoreticalComputer GraphicsAmino Acid SequenceCluster AnalysisPhantoms, ImagingImage Interpretation, Computer-AssistedSequence AlignmentProteinsSequence Analysis, DNAMetalloporphyrinsArtifactsSoilWavelet AnalysisNeural Networks (Computer)Data Interpretation, StatisticalComputers, HandheldImaging, Three-DimensionalImage EnhancementKineticsModels, MolecularModels, ChemicalMutationSequence Analysis, ProteinGene Expression ProfilingPeroxynitrous AcidNumerical Analysis, Computer-AssistedMonte Carlo MethodComputer User TrainingDatabases, FactualOligonucleotide Array Sequence AnalysisComputer TerminalsFourier AnalysisEquipment DesignSignal-To-Noise RatioInternetBayes TheoremBiodegradation, EnvironmentalComputer Communication NetworksNormal DistributionModels, NeurologicalGenotypeTreesPhylogenyMarkov ChainsBrainComputers, AnalogDatabases, ProteinAutomationComputer-Aided DesignComputing MethodologiesSoftware ValidationBiomassAutomatic Data ProcessingTemperatureLeast-Squares AnalysisInformation Storage and RetrievalEcosystem
Biomedical Signal Processing and ControlWavelet transformsComputational2019DecomposeModelingAbstractNonlinearApproachOptimizationEfficiencyDataMathematicsEnsembleMethodsClassifierFault diagnosisCalculationFeature extractionOptimalDetectionMolecular designComputingAlignmentSensorsModeDeepImage ProcessingVibrationMathematicalOutcomesAnalysisPlacementEvolutionaryCollaborativeNatural Language PSurfaceConsensusApplicationRepresentationScienceBandwidthIdentificationResults2022ChennaiDomainAnomalousApplicationsSciencesSystemsDesignBiologicalFocusesDetails
Biomedical Signal Processing and Control1
Wavelet transforms1
  • This method depends on the resonance of a signal, instead of frequency or scaling as in the Fourier and wavelet transforms. (edu.au)
Computational3
  • Although the DL methods show promising improvements in breast cancer diagnosis, there are still issues of data scarcity and computational cost, which have been overcome to a significant extent by applying data augmentation and improved computational power of DL algorithms. (jmir.org)
  • Deep learning algorithms are computational and storage-intensive, and deep convolutional neural networks enhance their expressive power by increasing depth, trading time, and space for higher-level abstract features [ 2 ]. (hindawi.com)
  • To model this consensus, it must be taken into account that the processes can form group of processes or be independent, the state of the nodes where each of them is located, the computational load, the number of processes, the priorities of the processes, CPU usage, use of main memory, virtual memory, etc. (thesai.org)
20191
  • One of his work about Least squares generative adversarial networks (LSGAN) which has received more than 2000 citations ins Google Scholar, published in ICCV 2017 and TPAMI 2019, included by computer science courses of Stanford University and National Taiwan University, and implemented by Google TensorFlow. (xiehaoran.net)
Decompose2
  • Firstly, the proposed method decompose EEG signals into different sub-bands using the TQWT method, which is parameterized by its Q-factor and redundancy. (edu.au)
  • As an important technique to deal with non-stationary signals, time-frequency signal decomposition methods can decompose a complex signal into several regular simple modes that can be easily analyzed in the time and frequency domain [ 7 ]. (springeropen.com)
Modeling2
  • Preprint arXiv:1108.3206v2 Modeling and frequency domain analysis of nonlinear compliant joints for a passive dynamic swimmer ! (octave.org)
  • Students will be required to complete a MEMS design term project, including design modeling, simulation, microfabrication process design, and photolithographic mask layout. (utoronto.ca)
Abstract2
  • Abstract As to solve the collaborative relative navigation problem for near-circular orbiting small satellites in close-range under GNSS denied environment, a novel consensus constrained relative navigation algorithm based on the lever arm effect of the sensor offset from the spacecraft center of mass is proposed. (techscience.com)
  • Abstract: When it comes to processes distributed in process nodes that access critical resources shared in the modality of distributed mutual exclusion, it is important to know how these are managed and the order in which the demand for resources is resolved by the processes. (thesai.org)
Nonlinear3
  • 5] HUANG N E,SHEN Z,LONG S R. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings Mathematical Physical and Engineering Sciences,1998,454(1971):903-995. (cjmenet.com.cn)
  • Characteristics of EEG signals are complex, being non-stationarity, aperiodic and nonlinear in nature. (edu.au)
  • Multi-bandwidth mode manifold (Triple M, TM) is one variation of the VMD, which units multiple fault-related modes with different bandwidths by a nonlinear manifold learning algorithm named local tangent space alignment (LTSA). (springeropen.com)
Approach2
  • METHODS: This research proposes a novel approach for the detection of anomalous valvular heart sounds from PCG signals. (bvsalud.org)
  • A Multi-Objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems. (stanford.edu)
Optimization3
  • This framework enables a series of different use cases for network management and optimization, with real-time data processing capabilities within the network Traces collection interval (15 minutes), and achieving a median positioning error of 90 m. (surrey.ac.uk)
  • Aiming at the target signal, the criterion defines an objective function that describes the global energy and local impact characteristics, and combines a heuristic mechanism to realize the optimization of the sifting iterations number in each sifting process, so as to guarantee the empirical mode decomposition to obtain the optimal decomposition results. (cjmenet.com.cn)
  • We also present case studies of protein material optimization using genetic algorithms, applied to 3D printed composites, molecular design, and a translation of protein folding to music and back. (mrs.org)
Efficiency2
  • The role and applications of millimeter wave (mmWave) Reconfigurable Intelligent Surfaces (RIS) have been rapidly increasing by extending the signal coverage with energy and spectrum efficiency. (jpier.org)
  • This criterion is used to suppress the mode mixing problem and improve the accuracy and efficiency of empirical mode decomposition. (cjmenet.com.cn)
Data8
  • Introduction-Computer-assisted analysis of multimodal image data. (uu.se)
  • For coastal scientists and managers to effectively collect, evaluate, and/or use lidar data in salt marshes, factors affecting elevation uncertainty ( e.g. , plant species, season, and lidar processing methods) must be well understood. (bioone.org)
  • Based on the simulation data and the Case Western Reserve University Bearing Data, the improved empirical mode decomposition is compared with the two traditional methods in different decomposition and diagnostic performance dimensions. (cjmenet.com.cn)
  • The system includes novel both sensory part and data processing procedure, which is based on signal preprocessing using Wavelet Transform (WT) and Shannon energy computation and heart sounds classification using K-means. (bvsalud.org)
  • We will use Python's NetworkX package and apply these algorithms to several real-world data sets. (amstat.org)
  • Then, the LTSA algorithm is performed on the multi-bandwidth modes to extract their inherent manifold structure, in which the natural nearest neighbor (Triple N, TN) algorithm is adopted to efficiently and reasonably select the neighbors of each data point in the multi-bandwidth modes. (springeropen.com)
  • His research interests include Natural Language Processing, Artificial Intelligence in Education, Affective Computing, Digital Humanities, and Educational Data Mining. (xiehaoran.net)
  • The purpose of this research is to show that the correlation analysis on surface electromyographic (sEMG) signals that originally confirmed existence of a standing wave central pattern generator (CPG) along the spine are reproducible despite evolution of the entrainment technique, different hardware and data collection protocol. (quirovidasana.com)
Mathematics1
  • DSI faculty at UD combine expertise in statistics, computer science, mathematics, information sciences and numerous related fields. (udel.edu)
Ensemble1
  • The EMD and some of its variants, such as ensemble EMD (EEMD) and local mean decomposition (LMD), generate a series of complete and almost orthogonal intrinsic mode functions (IMFs) which could imply failure information [ 11 ]. (springeropen.com)
Methods5
  • The advancements in the field of ML have led to more intelligent and self-reliant computer-aided diagnosis (CAD) systems, as the learning ability of ML methods has been constantly improving. (jmir.org)
  • Such methods lead to the problem of mode mixing in empirical mode decomposition, which affects the fault diagnosis results. (cjmenet.com.cn)
  • The Biomedical Signal Analysis Lab works to create and enhance methods for measurement of the human body in order to advance biometric-recognition technology. (clarkson.edu)
  • A great amount of recent research efforts have been made to explore the fault feature extraction of rolling bearings based on signal processing methods to overcome the challenges of bearing fault diagnosis. (springeropen.com)
  • Wavelet transform (WT), empirical mode decomposition (EMD) and empirical wavelet transform (EWT) are typically advanced time-frequency signal processing methods that are widely applied to the field of rotating machinery fault diagnosis. (springeropen.com)
Classifier1
  • The experimental results demonstrate that the proposed feature extraction algorithm with thek-NN classifier produces the best performance compared with the other two classifiers. (edu.au)
Fault diagnosis4
  • The sifting stopping criterion of empirical mode decomposition is one of the key factors affecting the accuracy of fault diagnosis of rotating machinery in high-speed trains. (cjmenet.com.cn)
  • 4] LIN J,ZUO M J. Gearbox fault diagnosis using adaptive wavelet filter[J]. Mechanical Systems and Signal Processing,2003,17(6):1259-1269. (cjmenet.com.cn)
  • Application of empirical mode decomposition and fuzzy entropy to high-speed rail fault diagnosis[M]. Berlin:Springer Berlin Heidelberg,2014. (cjmenet.com.cn)
  • Vibration signals collected from faulty bearings contain periodic transient impulse components that can be used for fault diagnosis. (springeropen.com)
Calculation1
  • It is concluded that models for the concrete fatigue calculation can fall into four categories: the empirical model relying on fatigue tests, fatigue crack growth model in fracture mechanics, fatigue damage evolution model based on damage mechanics and advanced machine learning model. (techscience.com)
Feature extraction1
  • The results prove that the proposed TQWT based feature extraction method has great potential to extract discriminative information from brain signals. (edu.au)
Optimal1
  • The aim of the proposal is to improve the learning process by identifying the optimal ONMF temporal or spectral patterns for accurate detection. (bvsalud.org)
Detection3
  • 2] STASZEWSKI W J,WORDEN K,TOMLINSO G R. Time-frequency analysis in gearbox fault detection using the Wigner-Ville distribution and pattern recognition[J]. Mechanical Systems and Signal Processing,1997,11(5):673-692. (cjmenet.com.cn)
  • The placement in the middle of sternum showed the higher signal quality with median of the proper S1 and S2 detection sensitivity of 98.5 and 97.5%, respectively. (bvsalud.org)
  • However, the vibration signals collected from mechanical equipment often have the properties of nonlinearity and non-stationarity, and contain a large number of narrow-band pulse interference and background noise, leading to great challenges for bearing fault detection [ 6 ]. (springeropen.com)
Molecular design1
  • Combining Multi-objective Evolutionary Algorithms with deep generative models towards focused molecular design. (stanford.edu)
Computing1
  • 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2016 Oct 17, Athens, Greece. (octave.org)
Alignment1
  • Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment. (uu.se)
Sensors1
  • Due to the lack of standardization in the placement of PCG sensors, the study focuses on evaluating the signal quality obtained from 7 different sensor locations on the subject's chest and investigates which locations are most suitable for recording heart sounds. (bvsalud.org)
Mode2
  • The influence of sifting stopping criterion on the empirical mode decomposition results are fully demonstrated, and then a soft sifting stopping criterion that can adaptively monitor the sifting process is proposed. (cjmenet.com.cn)
  • Variational mode decomposition (VMD) has been proved to be useful for extraction of fault-induced transients of rolling bearings. (springeropen.com)
Deep1
  • In recent years, deep learning has achieved great success in computer vision. (hindawi.com)
Image Processing1
  • Umasankar Kandaswamy, Schuckers S, Don Adjeroh, Comparison of Texture Analysis Schemes Under Non-ideal Conditions, IEEE Transactions on Image Processing, Vol. 20 Issue:8 pp: 2260 - 2275, 2011. (clarkson.edu)
Vibration1
  • Marc Thomas spends much of his time researching Vibration, Metallurgy, Microstructure, Alloy and Structural engineering. (research.com)
Mathematical1
  • The mathematical characterization of the signal also demonstrates coherence at a distance between the sacral to cervical spine. (quirovidasana.com)
Outcomes1
  • Conclusion: The outcomes of the proposed technique can assist doctors and other health experts to identify diversified EEG categories. (edu.au)
Analysis2
  • A Lewicke, S Schuckers, Analysis of Heart Rate Variability for Predicting Cardiorespiratory Events in Infants, Biomedical Signal Processing & Control, accepted for publication, 2011. (clarkson.edu)
  • Decision support systems like computer-aided energy system analysis (ESA) are considered one of the main pillars for developing sustainable and reliable energy transformation strategies. (academic-quant-news.com)
Placement1
  • A new algorithm for fiber placement of open contoured sculptured surface is proposed. (atlantis-press.com)
Evolutionary2
  • On Restricting Real-Valued Genotypes in Evolutionary Algorithms. (stanford.edu)
  • Generating Duplex Routes for Robust Bus Transport Network by Improved Multi-objective Evolutionary Algorithm based on Decomposition. (stanford.edu)
Collaborative4
  • The memory-based collaborative filtering recommendation algorithm is also called a neighborhood-based recommendation. (hindawi.com)
  • The memory-based collaborative filtering recommendation algorithm is divided into User-based Collaborative Filtering and Project-based Collaborative Filtering. (hindawi.com)
  • Model-based Collaborative Filtering recommendation algorithms can be divided into matrix decomposition-based, clustering-based, etc. [ 4 ]. (hindawi.com)
  • 11. Oct, 2022] We currently hire full-time Mphi/PhD from Lingnan University and collaborative universities (Shenzhen University - Joint PhD/Mphi with Lingnan, The Hong Kong Polytechnic University and Hong Kong Metropolitan University). (xiehaoran.net)
Natural Language P1
  • In this tutorial, we will cover the fundamentals of Natural Language Processing. (amstat.org)
Surface1
  • In this paper, a new SAR shield design method based on combining graphene-type absorbing cards with metal sheets via a frequency-selective surface resistive card (FSS-R-card) design is proposed. (jpier.org)
Consensus2
  • In this work, through an aggregation operator, a consensus mechanism is proposed to establish the order of allocation of resources to the processes. (thesai.org)
  • The consensus is understood as the agreement that must be achieved for the allocation of all the resources requested by each process. (thesai.org)
Application1
  • Sep 19, 2003 - In this study, the application of exhaust gas-assisted fuel reforming in compression ignition engines (CI) has been investigated. (datapdf.com)
Representation1
  • In the first stage, the time-frequency representation of the input PCG signal is computed. (bvsalud.org)
Science3
  • Lecture Notes in Computer Science, vol 13386. (uu.se)
  • SL 1, Theoretical computer science and general issues. (stanford.edu)
  • She received her Ph.D. in 2012 on Tools and Algorithms for High-Level Algorithm Mapping to FPGAs from the School of Computer Science and Engineering, Nanyang Technological University, Singapore. (udel.edu)
Bandwidth2
  • The proposed antenna has a simple structure consisting of two radiation strips and a coupling strip for enhancing the high-frequency bandwidth. (jpier.org)
  • The switchable states provide peak resonance at 32.5 GHz (Bandwidth-444 MHz) and 33.6 GHz (Bandwidth-498 MHz) frequencies. (jpier.org)
Identification1
  • This paper designs a intelligent car horn based on RFID(radio frequency identification and satellite navigation technology) Horn gets automobile accurate geographic position information by satellite navigation chip and realize the communication between the cars by the RF module.When the other car's whistle. (atlantis-press.com)
Results1
  • In the patient prototype, the main functionality is measuring PCG signals, but with the possibility of reading more details about the results. (bvsalud.org)
20221
  • 11. Oct, 2022] There are three vacancies of full-time/part-time resarch assistants in my research teams in both Lingnan University, Education University of Hong Kong, and Open University of Hong Kong. (xiehaoran.net)
Chennai1
  • Matlab 2013 2014 project centers in chennai we're pleasured to provide you our large assist, as you can just trade the eventual destiny of innovation. (projectcentrechennai.in)
Domain1
  • In this paper, the time domain collocation method (TDC) is applied to solve the van der Pol equation. (atlantis-press.com)
Anomalous1
  • The time of Cetacea from islands older than the anomalous constitutes established always cited as accumulating deer to the appreciation of the computationally cretaceous can' of the highest block of Vertebrata on the sax. (sunshineday.com)
Applications2
  • Stochastic Distance Transform: Theory, Algorithms and Applications. (uu.se)
  • Background: Electroencephalogram (EEG) signals are important for brain health monitoring applications. (edu.au)
Sciences1
  • Sunita Chandrasekaran is an Associate Professor with the Department of Computer and Information Sciences at the University of Delaware, USA. (udel.edu)
Systems1
  • In 2004, he won the Centre for Communications Systems (CCSR) Research Excellence Prize sponsored by Vodafone for his research on Adaptive Filtering algorithms. (surrey.ac.uk)
Design1
Biological1
  • Sprouting angiogenesis is a core biological process critical to vascular development. (ibecbarcelona.eu)
Focuses1
  • His Bearing course of study focuses on Hilbert-Huang transform and Algorithm. (research.com)
Details2
  • You can view details and manage settings at any time on our cookies policy page. (surrey.ac.uk)
  • disciplines snort our participants and benefits to time their social page and update and educate details to understand the rub rub of their free concepts. (specialwaldi.de)