Junlong Gao

ORCID: 0009-0008-6579-5330
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Research Areas
  • Fuzzy Logic and Control Systems
  • Adaptive Control of Nonlinear Systems
  • Hydraulic and Pneumatic Systems
  • Animal Virus Infections Studies
  • Neural Networks and Applications
  • Crystallization and Solubility Studies
  • Evolutionary Algorithms and Applications
  • Fault Detection and Control Systems
  • Viral gastroenteritis research and epidemiology
  • X-ray Diffraction in Crystallography
  • Reinforcement Learning in Robotics
  • COVID-19 diagnosis using AI
  • Advanced Control Systems Optimization
  • SARS-CoV-2 and COVID-19 Research
  • Opinion Dynamics and Social Influence
  • Functional Brain Connectivity Studies
  • Dynamics and Control of Mechanical Systems
  • Machine Learning in Materials Science
  • Benford’s Law and Fraud Detection
  • Digital Media Forensic Detection
  • Machine Learning in Healthcare
  • Advanced Computing and Algorithms
  • Virus-based gene therapy research
  • Software Engineering Research
  • Crystallography and molecular interactions

Beijing University of Technology
2024

Henan Agricultural University
2023-2024

Alibaba Group (China)
2023

University of Warwick
2023

Yanbian University of Science and Technology
2020

Chinese Academy of Sciences
2014-2017

Shandong Institute of Automation
2014-2017

University of Chinese Academy of Sciences
2017

Institute of Automation
2015

The single-input-rule-modules (SIRMs) connected fuzzy inference method can efficiently solve the rule explosion phenomenon, which usually occurs in multivariable modeling and/or control applications. However, performance of SIRMs system (SIRM-FIS) is limited due to its simple input-output mapping. In this paper, further enhance SIRM-FIS, a functionally weighted SIRM-FIS (FWSIRM-FIS), adopts functional weights measure important degrees SIRMs, presented. Then, order show fundamental...

10.1109/tfuzz.2016.2637369 article EN IEEE Transactions on Fuzzy Systems 2016-12-08

ABSTRACT Porcine deltacoronavirus (PDCoV) is an enteropathogenic coronavirus that mainly causes diarrhea in suckling piglets, and also has the potential for cross-species transmission. However, there are still no commercial vaccines available to prevent control PDCoV infection. In this study, strain HNZK-02 was serially propagated vitro up 150 passages amino acid changes have occurred S protein during serial passage which caused structure change. HNZK-02-passage 5 (P5)-infected piglets...

10.1128/msystems.01346-23 article EN cc-by mSystems 2024-02-13

Abstract A recently reported “plug‐n‐play” approach to simplified electrochemical atom transfer radical polymerization (seATRP) is investigated using machine learning. It shown that Bayesian optimization via an active learning (AL) algorithm accelerates of the oligo(ethylene glycol methyl ether acrylate) 480 (OEGA ) in water. Molecular weight distribution ( M w / n ; dispersity; Ɖ m output selected for targeting poly(oligo[ethylene acrylate]) (POEGA with low dispersity < 1.30). Input...

10.1002/macp.202300039 article EN cc-by Macromolecular Chemistry and Physics 2023-04-06

Astroviruses have frequently been found in mammals and poultry, but only a few successfully isolated for extensive research. Here, we strain of porcine astrovirus type 5 (PAstV 5) on LLC‐porcine kidney (LLC‐PK) cells, from the intestinal contents diarrhea piglets, namely PAstV 5‐HNPDS‐01. The complete genome sequence length this was 6,419 nt, which has 77.2%–91.1% nucleotide homology with other strains 45.0%–50.0% mammalian astroviruses. recombination analysis indicated that events were...

10.1155/2024/5777097 article EN cc-by Transboundary and Emerging Diseases 2024-01-01

In this paper an adaptive interval type-2 fuzzy sliding mode controller, which is applied to flexible air-breathing hypersonic vehicle (FAHV) longitudinal model, designed based on logic systems (IT2-FLS) and control (SMC) theory. order get FAHV model stably controlled, we decouple the into velocity altitude channels through output feedback linearization. Moreover, due severe uncertainties mainly come from unpredictable varying aerodynamic interferences mutual couplings in airframe modes...

10.1109/fuzz-ieee.2015.7337828 article EN 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2015-08-01

In this study, we propose a novel fast learning data-driven method for the design of interval type-2 fuzzy logic system (IT2FLS). order to accelerate speed, present parallel mechanism generate antecedents IT2FLS and least square based algorithm optimize consequents. Firstly, driven by different sub-data sets, corresponding type-1 systems (T1FLSs) which have same initial partition (thus rule base) are parallelly obtained through popular ANFIS method. Then, an ensembling strategy is proposed...

10.3233/jifs-16799 article EN Journal of Intelligent & Fuzzy Systems 2017-02-24

An indirect adaptive interval type-2 fuzzy sliding mode controller (AIT2-FSMC) for flexible air-breathing hypersonic vehicle (FAHV) longitudinal model is presented in this paper. The proposed designed by combining an Mamdani linguistic based logic system (IT2-FLS) with control technique. For the sake of FAHV stably controlled under parametric and structural uncertainties which mainly come from varying aerodynamic interferences, modes airframe mutual couplings fuel consumptions practical...

10.1016/j.ifacol.2017.08.668 article EN IFAC-PapersOnLine 2017-07-01

Porcine sapelovirus (PSV) is an emerging swine enteric virus that can cause various disorders including acute diarrhea, respiratory distress, reproductive failure, and polioencephalomyelitis in pigs. In this study, we isolated a PSV strain HNHB-01 from clinical porcine deltacoronavirus- (PDCoV-) positive intestinal content of diarrheic piglet. was first identified using the small RNA deep sequencing assembly, further by electron microscopic observation immunofluorescence assay. Subsequently,...

10.1155/2023/9943040 article EN cc-by Transboundary and Emerging Diseases 2023-04-25

This paper presents a novel approach to automatically creating an interval type-2 fuzzy neural network (IT2-FNN) from type-1 TSK system (T1-TSK). The IT2-FNN is constructed in such way that it takes advantage of the well-behaving T1-TSK. Our makes designing more efficient and resulting expected perform better than T1-TSK due footprint uncertainty IT2 sets, especially when subject heavy external or internal uncertainties. There are two automated procedures formation: (1) antecedent structure...

10.1109/smc.2016.7844744 article EN 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2016-10-01

This paper aims to research the applicability of Benford's Law in Chinese texts. Firstly, corpus was collected and word segmentation performed. The distributions first digit frequency were calculated for words, low-frequency words single characters respectively texts, relative entropy (Kullback-Leibler distance) between general law. Secondly, parameter value range Generalized law researched, view limitation Zipf's that is only applicable large amounts data, we carried out a statistical...

10.1109/aiam50918.2020.00009 article EN 2020-10-01

This paper presents a novel interval type-2 TSK nominal-fuzzy-model-based sliding mode controller (IT2-TSK-NFMSMC) for flexible air-breathing hypersonic vehicle (FAHV) in order to stress robustness of the control system dealing with data-driven based fuzzy modelling deviations, uncertainty and disturbances. We adopt backstepping structure decomposing FAHV model into 5 subsystems design controllers, respectively. More specifically, two are designed integral controllers. Another three which...

10.1109/fuzz-ieee.2017.8015601 article EN 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2017-07-01

This paper proposes a multi-input multi-output (MIMO) adaptive fuzzy high-order sliding mode controller (FHOSMC) for the flexible air-breathing hypersonic vehicle (FAHV) longitudinal model. In order to suppress big uncertainties coming from modes and make system stably controlled, we design (HOSM) as main achieve convergence in limit time, adopt logic (FLS) generate parameters adjust control coefficients of HOSM online. addition, tracking differentiator (TD) nonlinear state observer (NSO)...

10.1109/icma.2014.6885924 article EN 2014-08-01

Scalability remains a challenge in multi-agent reinforcement learning and is currently under active research. A framework named mean-field (MFRL) could alleviate the scalability problem by employing Mean Field Theory to turn many-agent into two-agent problem. However, this lacks ability identify essential interactions nonstationary environments. Causality contains relatively invariant mechanisms behind interactions, though environments are nonstationary. Therefore, we propose an algorithm...

10.1109/ijcnn54540.2023.10191654 article EN 2022 International Joint Conference on Neural Networks (IJCNN) 2023-06-18
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