Guo‐Qiang Zeng
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View article: Image reconstruction techniques in muography: A review of algorithms and physical principles
Image reconstruction techniques in muography: A review of algorithms and physical principles Open
Muography utilizes the interaction characteristics of high-energy cosmic-ray muons with matter to enable non-destructive inspection and internal imaging of large-scale or shielded objects. This review focuses on the fundamental interaction…
View article: A Universal Framework for Large-Scale Multi-Objective Optimization Based on Particle Drift and Diffusion
A Universal Framework for Large-Scale Multi-Objective Optimization Based on Particle Drift and Diffusion Open
Large-scale multi-objective optimization poses challenges to existing evolutionary algorithms in maintaining the performances of convergence and diversity because of high dimensional decision variables. Inspired by the motion of particles …
View article: Epilepsy Detection and Prediction Using a High-Performance Ensemble Learning Algorithm Based on Feature Fusion
Epilepsy Detection and Prediction Using a High-Performance Ensemble Learning Algorithm Based on Feature Fusion Open
Epilepsy detection and prediction remain among the most challenging data analysis tasks for chronic brain disorders. Manual detection is time-consuming, and the inability to predict seizures artificially has driven the development of numer…
View article: Local Full-Scale Model Test on Mechanical Performance of the Integral Splicing Composite Structure of Adjacent Existing Box Girder Bridges
Local Full-Scale Model Test on Mechanical Performance of the Integral Splicing Composite Structure of Adjacent Existing Box Girder Bridges Open
Adjacent existing box girder bridges should be spliced in the long-span bridge expansion project. A type of integral splicing composite structure for connecting the adjacent flange plates is designed herein. The mechanical characteristic o…
View article: Nuclear Pulse Pile-Up Rejection Technique Based on a Symmetrical Zero-Area Bald-Top Shaper
Nuclear Pulse Pile-Up Rejection Technique Based on a Symmetrical Zero-Area Bald-Top Shaper Open
View article: A Novel Multimodal Multiobjective Evolutionary Algorithm Based on Non-Dominated Ranking Hierarchy and Dynamic Crowding Distance
A Novel Multimodal Multiobjective Evolutionary Algorithm Based on Non-Dominated Ranking Hierarchy and Dynamic Crowding Distance Open
View article: Integrated Approach to Predicting Rock Fracture Intensity Based on Radon Tracing and Artificial Neural Network
Integrated Approach to Predicting Rock Fracture Intensity Based on Radon Tracing and Artificial Neural Network Open
View article: A Novel Large-Scale Multi-Objective Particle Swarm Optimization Based on Distribution Direction of Pareto Set
A Novel Large-Scale Multi-Objective Particle Swarm Optimization Based on Distribution Direction of Pareto Set Open
View article: Optimization of energy compensation layered structure of Geiger- Müller counters
Optimization of energy compensation layered structure of Geiger- Müller counters Open
The dose rate measured by Geiger-Müller (GM) detectors plays a crucial role in assessing radiation fields. Due to the inherent characteristics of GM tubes, the energy response is inconsistent across different types or energies of radiation…
View article: Research on airspace filtering algorithm for trackside train bearings based on GSC-MVDR
Research on airspace filtering algorithm for trackside train bearings based on GSC-MVDR Open
Trackside Acoustic Detection Systems (TADS) employ microphone arrays installed on both sides of the railway tracks to collect sound signals emitted by wheelset bearings as trains pass by. These systems facilitate state monitoring and fault…
View article: LAMB3: Central role and clinical significance in neoplastic and non-neoplastic diseases
LAMB3: Central role and clinical significance in neoplastic and non-neoplastic diseases Open
Recently, topics related to targeted gene therapy and diagnosis have become increasingly important in disease research. The progression of many diseases is associated with specific gene signaling pathways. Therefore, the identification of …
View article: Automated federated learning‐based adversarial attack and defence in industrial control systems
Automated federated learning‐based adversarial attack and defence in industrial control systems Open
With the development of deep learning and federated learning (FL), federated intrusion detection systems (IDSs) based on deep learning have played a significant role in securing industrial control systems (ICSs). However, adversarial attac…
View article: Study on the shielding performance of bismuth oxide as a spent fuel dry storage container based on Monte Carlo simulation
Study on the shielding performance of bismuth oxide as a spent fuel dry storage container based on Monte Carlo simulation Open
For traditional spent fuel shielding materials, due to physical and chemical defects and cost constraints, they have been unable to meet the needs. Therefore, this paper carries out the first discussion on the application and performance o…
View article: Application of advanced spectral-ratio radon background correction in the UAV-borne gamma-ray spectrometry
Application of advanced spectral-ratio radon background correction in the UAV-borne gamma-ray spectrometry Open
The influence of the atmospheric radon background on the airborne gamma spectrum can seriously affect researchers’ judgement of ground radiation information. However, due to load and endurance, unmanned aerial vehicle (UAV)-borne gamma-ray…
View article: SOPA‐GA‐CNN: Synchronous optimisation of parameters and architectures by genetic algorithms with convolutional neural network blocks for securing Industrial Internet‐of‐Things
SOPA‐GA‐CNN: Synchronous optimisation of parameters and architectures by genetic algorithms with convolutional neural network blocks for securing Industrial Internet‐of‐Things Open
In recent years, deep learning has been applied to a variety of scenarios in Industrial Internet of Things (IIoT), including enhancing the security of IIoT. However, the existing deep learning methods utilised in IIoT security are manually…
View article: The role of MEOX1 in non-neoplastic and neoplastic diseases
The role of MEOX1 in non-neoplastic and neoplastic diseases Open
Targeted gene therapy has shown durable efficacy in non-neoplastic and neoplastic patients. Therefore, finding a suitable target has become a key area of research. Mesenchyme homeobox 1 (MEOX1) is a transcriptional factor that plays a sign…
View article: Correction to: Fast nuclide identification based on a sequential Bayesian method
Correction to: Fast nuclide identification based on a sequential Bayesian method Open
View article: Design of a Preamplifier for Silicon Detector Redout Experiment
Design of a Preamplifier for Silicon Detector Redout Experiment Open
An experimental circuit design method of charge sensitive preamplifier for signal readout of silicon detector is introduced.Firstly, the circuit principle simulation and circuit parameter optimization are realized based on Multisim softwar…
View article: Effects of Deposition Temperature on the Microstructure, Mechanical Properties, High Temperature Corrosion and Oxidation Properties of Alcrnbtizr High Entropy Alloy Coatings
Effects of Deposition Temperature on the Microstructure, Mechanical Properties, High Temperature Corrosion and Oxidation Properties of Alcrnbtizr High Entropy Alloy Coatings Open
View article: Research on The Sustainable Development Matrix of Home-Based Elderly Care Services in Free Trade Ports from The Perspective of Artificial Intelligence
Research on The Sustainable Development Matrix of Home-Based Elderly Care Services in Free Trade Ports from The Perspective of Artificial Intelligence Open
With the development of the economy and the improvement of living standards, the new model of home-based elderly care services has gradually been developed and achieved certain results, but there are many difficulties in the process of exp…
View article: IFA-EO: An Improved Firefly Algorithm Hybridized With Extremal Optimization for Continuous Unconstrained Optimization Problems
IFA-EO: An Improved Firefly Algorithm Hybridized With Extremal Optimization for Continuous Unconstrained Optimization Problems Open
As one of the evolutionary algorithms, firefly algorithm (FA) has been widely used to solve various complex optimization problems. However, FA has significant drawbacks in slow convergence rate and is easily trapped into local optimum. To …
View article: Practical SM2-Based Multisignature Scheme with Applications to Vehicular Networks
Practical SM2-Based Multisignature Scheme with Applications to Vehicular Networks Open
In vehicular networks, the increasing value of transportation data and scale of connectivity also brings many security and privacy concerns. Peer authentication and message integrity are two vital security requirements to ensure safe trans…
View article: Adaptive constrained population extremal optimisation‐based robust proportional‐integral‐derivation frequency control method for an islanded microgrid
Adaptive constrained population extremal optimisation‐based robust proportional‐integral‐derivation frequency control method for an islanded microgrid Open
The expected penetration of renewable sources is driving the islanded microgrid towards uncertainties, which have highly influence the reliability and complexities of frequency control. To alleviate the influence caused by load fluctuation…
View article: Application of BP neural network on quantitative evaluation of curriculum reform in advanced education-A case study of signal and system
Application of BP neural network on quantitative evaluation of curriculum reform in advanced education-A case study of signal and system Open
In this paper, BP neural network model is used to study and analyse the teaching reform of signal and system course. Referring to the structure of BP neural network, the quality evaluation index system of signal and system course is establ…
View article: Analysis of influencing factors and teaching reform of nuclear professional English based on logistic regression
Analysis of influencing factors and teaching reform of nuclear professional English based on logistic regression Open
Nuclear professional English course can help students of nuclear energy engineering major to understand the corresponding course content accurately and effectively while learning and researching frontier topics. This course has an importan…
View article: VSG Control Strategy Incorporating Voltage Inertia and Virtual Impedance for Microgrids
VSG Control Strategy Incorporating Voltage Inertia and Virtual Impedance for Microgrids Open
Virtual synchronous generator (VSG) control lacks voltage inertia and powerful decoupling capabilities. The voltage of the distributed generator (DG) unit controlled by the VSG will be easily affected by power fluctuations and high-frequen…
View article: DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks Open
Deep Learning (DL) techniques allow ones to train models from a dataset to solve tasks. DL has attracted much interest given its fancy performance and potential market value, while security issues are amongst the most colossal concerns. Ho…
View article: Fractional-Order Predictive Functional Control of Industrial Processes with Partial Actuator Failures
Fractional-Order Predictive Functional Control of Industrial Processes with Partial Actuator Failures Open
As the actuator faults in an industrial process cause damage or performance deterioration, the design issue of an optimal controller against these failures is of great importance. In this paper, a fractional-order predictive functional con…
View article: Design of fast digital spectrum stabilization method for UAV radiometry system
Design of fast digital spectrum stabilization method for UAV radiometry system Open
The drone radiation measurement system has a sharp increase in demand for environmental radiation monitoring due to its easy manoeuvrability, low aerial survey cost, high patrol efficiency and no personnel safety concerns. In order to adap…
View article: A hybrid universal blind quantum computation
A hybrid universal blind quantum computation Open