Zhiguo Zhou
Orcid: 0009-0005-6145-6268
According to our database1,
Zhiguo Zhou
authored at least 73 papers
between 2006 and 2024.
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Bibliography
2024
Pedestrian safety alarm system based on binocular distance measurement for trucks using recognition feature analysis.
Auton. Intell. Syst., December, 2024
SaE-GBLS: an effective self-adaptive evolutionary optimized graph-broad model for EEG-based automatic epileptic seizure detection.
Frontiers Comput. Neurosci., 2024
ASF-LKUNet: Adjacent-scale fusion U-Net with large kernel for multi-organ segmentation.
Comput. Biol. Medicine, 2024
Deep-AutoMO: Deep automated multiobjective neural network for trustworthy lesion malignancy diagnosis in the early stage via digital breast tomosynthesis.
Comput. Biol. Medicine, 2024
Semi-supervised Federated Learning for Misbehavior Detection of BSMs in Vehicular Networks.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Proceedings of the IGARSS 2024, 2024
Research on acoustic Model of Putian Dialect Speech Recognition Based on Deep Learning.
Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security, 2024
2023
Predictive Health Status Assessment of a Launch Vehicle Engine in an Ascending Flight Based on Vibration Signals.
IEEE Trans. Aerosp. Electron. Syst., December, 2023
An ensemble belief rule base model for pathologic complete response prediction in gastric cancer.
Expert Syst. Appl., December, 2023
Design of a Two-Dimensional Conveyor Platform with Cargo Pose Recognition and Adjustment Capabilities.
Sensors, October, 2023
Highly accurate map construction and deep Q-network for autonomous driving and smart transportation.
Comput. Electr. Eng., September, 2023
An improved master-apprentice evolutionary algorithm for minimum independent dominating set problem.
Frontiers Comput. Sci., August, 2023
2022
Frontiers Neurorobotics, 2022
AutoBRB: An automated belief rule base model for pathologic complete response prediction in gastric cancer.
Comput. Biol. Medicine, 2022
Predicting treatment outcome in metastatic melanoma through automated multi-objective model with hyperparameter optimization.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
AutoMO-Mixer: An Automated Multi-objective Mixer Model for Balanced, Safe and Robust Prediction in Medicine.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Penalized Entropy: a novel loss function for uncertainty estimation and optimization in medical image classification.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
Research on Navigation Algorithm of Unmanned Ground Vehicle Based on Imitation Learning and Curiosity Driven.
Proceedings of the Methods and Applications for Modeling and Simulation of Complex Systems, 2022
2021
An Image-Based Benchmark Dataset and a Novel Object Detector for Water Surface Object Detection.
Frontiers Neurorobotics, 2021
Immunotherapy treatment outcome prediction in metastatic melanoma through an automated multi-objective delta-radiomics model.
Comput. Biol. Medicine, 2021
A Novel GA-Based Optimized Approach for Regional Multimodal Medical Image Fusion With Superpixel Segmentation.
IEEE Access, 2021
Research on Laser Intelligent Removal Foreign Body in Ultra-long Distance Power Grid.
Proceedings of the 2021 International Conference on Security, 2021
A Superpixel-based Water Scene Segmentation Method by Sea-sky-line and Shoreline Detection.
Proceedings of the 2021 International Conference on Security, 2021
Proceedings of the 2021 International Conference on Security, 2021
Proceedings of the 2021 International Conference on Security, 2021
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Multi-Modality and Multi-View 2D CNN to Predict Locoregional Recurrence in Head & Neck Cancer.
Proceedings of the International Joint Conference on Neural Networks, 2021
Hierarchical classification and visualization with multiple feature ranking criteria.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021
2020
Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification.
IEEE J. Biomed. Health Informatics, 2020
Hidden behavior prediction of complex system based on time-delay belief rule base forecasting model.
Knowl. Based Syst., 2020
A Preliminary Study of Predicting Effectiveness of Anti-VEGF Injection Using OCT Images Based on Deep Learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
An effective soft computing technology based on belief-rule-base and particle swarm optimization for tipping paper permeability measurement.
J. Ambient Intell. Humaniz. Comput., 2019
A hidden fault prediction model based on the belief rule base with power set and considering attribute reliability.
Sci. China Inf. Sci., 2019
A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Proceedings of the ICITEE-2019: 2nd International Conference on Information Technologies and Electrical Engineering, 2019
An Analysis of Pedestrians' Behavior in Emergency Evacuation Using Cellular Automata Simulation.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
A Reliable Multi-classifier Multi-objective Model for Predicting Recurrence in Triple Negative Breast Cancer.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Reliable lymph node metastasis prediction in head & neck cancer through automated multi-objective model.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
A Model for Hidden Behavior Prediction of Complex Systems Based on Belief Rule Base and Power Set.
IEEE Trans. Syst. Man Cybern. Syst., 2018
A New Evidential Reasoning-Based Method for Online Safety Assessment of Complex Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2018
A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT.
Medical Image Anal., 2018
J. Vis. Commun. Image Represent., 2018
Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features.
CoRR, 2018
A new BRB model for security-state assessment of cloud computing based on the impact of external and internal environments.
Comput. Secur., 2018
Accurate segmenting of cervical tumors in PET imaging based on similarity between adjacent slices.
Comput. Biol. Medicine, 2018
A New BRB Model for Cloud Security-State Prediction Based on the Large-Scale Monitoring Data.
IEEE Access, 2018
Predicting Lymph Node Metastasis in Head and Neck Cancer by Combining Many-objective Radiomics and 3-dimensioal Convolutional Neural Network through Evidential Reasoning.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion.
CoRR, 2017
Distant failure prediction for early stage NSCLC by analyzing PET with sparse representation.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
A New BRB-ER-Based Model for Assessing the Lives of Products Using Both Failure Data and Expert Knowledge.
IEEE Trans. Syst. Man Cybern. Syst., 2016
Belief rule based expert system for classification problems with new rule activation and weight calculation procedures.
Inf. Sci., 2016
A method for predicting the network security situation based on hidden BRB model and revised CMA-ES algorithm.
Appl. Soft Comput., 2016
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016
2015
A cooperative belief rule based decision support system for lymph node metastasis diagnosis in gastric cancer.
Knowl. Based Syst., 2015
Joint sparse regularization based Sparse Semi-Supervised Extreme Learning Machine (S3ELM) for classification.
Knowl. Based Syst., 2015
2013
An evidential reasoning based model for diagnosis of lymph node metastasis in gastric cancer.
BMC Medical Informatics Decis. Mak., 2013
A bi-level belief rule based decision support system for diagnosis of lymph node metastasis in gastric cancer.
Knowl. Based Syst., 2013
Comput. Biol. Medicine, 2013
2012
An evidential reasoning based classification algorithm and its application for face recognition with class noise.
Pattern Recognit., 2012
2011
Proceedings of the 3rd International Conference on Awareness Science and Technology, 2011
2008
Proceedings of the Ninth ACIS International Conference on Software Engineering, 2008
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008
Proceedings of the NCM 2008, The Fourth International Conference on Networked Computing and Advanced Information Management, Gyeongju, Korea, September 2-4, 2008, 2008
Design of New Type License Plates Based on RFID and its Secure Automatic Identification System.
Proceedings of the NCM 2008, The Fourth International Conference on Networked Computing and Advanced Information Management, Gyeongju, Korea, September 2-4, 2008, 2008
Secure Design of RFID Tags in the New Type License Plates Automatic Identification System.
Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
2007
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007
2006
A New Approach For Source Authentication Of Multicast Data.
Proceedings of the 2006 International Conference on Security & Management, 2006