Nianyin Zeng
Orcid: 0000-0002-6957-2942
According to our database1,
Nianyin Zeng
authored at least 90 papers
between 2011 and 2024.
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Bibliography
2024
A Novel Dynamic Multiobjective Optimization Algorithm With Hierarchical Response System.
IEEE Trans. Comput. Soc. Syst., April, 2024
A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing.
IEEE Trans Autom. Sci. Eng., April, 2024
Neurocomputing, March, 2024
KD-PAR: A knowledge distillation-based pedestrian attribute recognition model with multi-label mixed feature learning network.
Expert Syst. Appl., March, 2024
A lightweight surface defect detection framework combined with dual-domain attention mechanism.
Expert Syst. Appl., March, 2024
A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme.
IEEE CAA J. Autom. Sinica, February, 2024
ELTS-Net: An enhanced liver tumor segmentation network with augmented receptive field and global contextual information.
Comput. Biol. Medicine, February, 2024
IEEE Trans. Instrum. Meas., 2024
2023
Neurocomputing, November, 2023
A novel attention-based enhancement framework for face mask detection in complicated scenarios.
Signal Process. Image Commun., August, 2023
A new deep belief network-based multi-task learning for diagnosis of Alzheimer's disease.
Neural Comput. Appl., June, 2023
SMWO/D: a decomposition-based switching multi-objective whale optimiser for structural optimisation of Turbine disk in aero-engines.
Int. J. Syst. Sci., June, 2023
Progressive attention integration-based multi-scale efficient network for medical imaging analysis with application to COVID-19 diagnosis.
Comput. Biol. Medicine, June, 2023
An overview of data-driven battery health estimation technology for battery management system.
Neurocomputing, May, 2023
AA-WGAN: Attention augmented Wasserstein generative adversarial network with application to fundus retinal vessel segmentation.
Comput. Biol. Medicine, May, 2023
Enhanced CNN Classification Capability for Small Rice Disease Datasets Using Progressive WGAN-GP: Algorithms and Applications.
Remote. Sens., April, 2023
Highly Sensitive Cy3 Fluorescence Detection Method for Microarray Based on CCD and LED.
IEEE Trans. Instrum. Meas., 2023
Recurrent-Neural-Network-Based Polynomial Noise Resistance Model for Computing Dynamic Nonlinear Equations Applied to Robotics.
IEEE Trans. Cogn. Dev. Syst., 2023
Accurate classification of ECG arrhythmia using MOWPT enhanced fast compression deep learning networks.
J. Ambient Intell. Humaniz. Comput., 2023
DPF-S2S: A novel dual-pathway-fusion-based sequence-to-sequence text recognition model.
Neurocomputing, 2023
AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion.
Comput. Biol. Medicine, 2023
A3C: A novel attention-based 3D-CNN model for accurately identifying clinical lung lesions.
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis.
IEEE Trans. Knowl. Data Eng., 2022
A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Cybern., 2022
FMD-Yolo: An efficient face mask detection method for COVID-19 prevention and control in public.
Image Vis. Comput., 2022
A survey on parameter identification, state estimation and data analytics for lateral flow immunoassay: from systems science perspective.
Int. J. Syst. Sci., 2022
EEG fading data classification based on improved manifold learning with adaptive neighborhood selection.
Neurocomputing, 2022
A ranking-system-based switching particle swarm optimizer with dynamic learning strategies.
Neurocomputing, 2022
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision.
Expert Syst. Appl., 2022
A generalized framework of feature learning enhanced convolutional neural network for pathology-image-oriented cancer diagnosis.
Comput. Biol. Medicine, 2022
2021
IEEE Trans. Cybern., 2021
A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Domain-adaptive intelligence for fault diagnosis based on deep transfer learning from scientific test rigs to industrial applications.
Neural Comput. Appl., 2021
A PSO-based deep learning approach to classifying patients from emergency departments.
Int. J. Mach. Learn. Cybern., 2021
A competitive mechanism integrated multi-objective whale optimization algorithm with differential evolution.
Neurocomputing, 2021
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip.
Neurocomputing, 2021
2020
A New Transfer Function for Volume Visualization of Aortic Stent and Its Application to Virtual Endoscopy.
ACM Trans. Multim. Comput. Commun. Appl., 2020
Determining the Online Measurable Input Variables in Human Joint Moment Intelligent Prediction Based on the Hill Muscle Model.
Sensors, 2020
A novel approach combined transfer learning and deep learning to predict TMB from histology image.
Pattern Recognit. Lett., 2020
A deep domain adaption model with multi-task networks for planetary gearbox fault diagnosis.
Neurocomputing, 2020
Association between Timing of Surgical Intervention and Mortality in 15, 813 Acute Pancreatitis.
Comput. Math. Methods Medicine, 2020
2019
A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments.
IEEE Trans. Evol. Comput., 2019
Mach. Vis. Appl., 2019
Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography.
Complex., 2019
Quantitative Analysis of Immunochromatographic Strip Based on Convolutional Neural Network.
IEEE Access, 2019
Intelligent Prediction of Human Lower Extremity Joint Moment: An Artificial Neural Network Approach.
IEEE Access, 2019
RP-Net: A 3D Convolutional Neural Network for Brain Segmentation From Magnetic Resonance Imaging.
IEEE Access, 2019
Drug-Disease Association Prediction Based on Neighborhood Information Aggregation in Neural Networks.
IEEE Access, 2019
IEEE Access, 2019
Morphological Arrhythmia Automated Diagnosis Method Using Gray-Level Co-Occurrence Matrix Enhanced Convolutional Neural Network.
IEEE Access, 2019
An Improved Confidence Connected Liver Segmentation Method Based on Three Views of CT Images.
IEEE Access, 2019
Exploiting Discriminative Regions of Brain Slices Based on 2D CNNs for Alzheimer's Disease Classification.
IEEE Access, 2019
Prediction of Knee Joint Moment by Surface Electromyography of the Antagonistic and Agonistic Muscle Pairs.
IEEE Access, 2019
IEEE Access, 2019
IEEE Access, 2019
Modified Weights-and-Structure-Determination Neural Network for Pattern Classification of Flatfoot.
IEEE Access, 2019
Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray.
IEEE Access, 2019
Multilevel Segmentation Optimized by Physical Information for Gridding of Microarray Images.
IEEE Access, 2019
Centralized Wavelet Multiresolution for Exact Translation Invariant Processing of ECG Signals.
IEEE Access, 2019
Weight and Structure Determination Neural Network Aided With Double Pseudoinversion for Diagnosis of Flat Foot.
IEEE Access, 2019
The Genetic-Evolutionary Random Support Vector Machine Cluster Analysis in Autism Spectrum Disorder.
IEEE Access, 2019
2018
Neurocomputing, 2018
A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer's disease.
Neurocomputing, 2018
The p53-Mdm2 regulation relationship under different radiation doses based on the continuous-discrete extended Kalman filter algorithm.
Neurocomputing, 2018
Sparsity Enhanced Topological Fractal Decomposition for Smart Machinery Fault Diagnosis.
IEEE Access, 2018
2017
Denoising and deblurring gold immunochromatographic strip images via gradient projection algorithms.
Neurocomputing, 2017
A switching delayed PSO optimized extreme learning machine for short-term load forecasting.
Neurocomputing, 2017
Neurocomputing, 2017
Neurocomputing, 2017
2016
Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip.
Cogn. Comput., 2016
A Novel Switching Delayed PSO Algorithm for Estimating Unknown Parameters of Lateral Flow Immunoassay.
Cogn. Comput., 2016
Inferring nonlinear lateral flow immunoassay state-space models via an unscented Kalman filter.
Sci. China Inf. Sci., 2016
2015
A hybrid Wavelet Neural Network and Switching Particle Swarm Optimization algorithm for face direction recognition.
Neurocomputing, 2015
2014
Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach.
IEEE Trans. Medical Imaging, 2014
A novel switching local evolutionary PSO for quantitative analysis of lateral flow immunoassay.
Expert Syst. Appl., 2014
2013
Time Series Modeling of Nano-Gold Immunochromatographic Assay via Expectation Maximization Algorithm.
IEEE Trans. Biomed. Eng., 2013
Comput. Methods Programs Biomed., 2013
2012
A Hybrid EKF and Switching PSO Algorithm for Joint State and Parameter Estimation of Lateral Flow Immunoassay Models.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Proceedings of the Health Information Science - First International Conference, 2012
2011
Inference of Nonlinear State-Space Models for Sandwich-Type Lateral Flow Immunoassay Using Extended Kalman Filtering.
IEEE Trans. Biomed. Eng., 2011
J. Comput., 2011
Stability analysis of standard genetic regulatory networks with time-varying delays and stochastic perturbations.
Neurocomputing, 2011