Lei Wang
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View article: RF-NSGA-II framework for inverse design of high-performance Mg-Gd-based magnesium alloys
RF-NSGA-II framework for inverse design of high-performance Mg-Gd-based magnesium alloys Open
An inverse design framework, RF-NSGA-II, is developed using machine learning (ML) methods and a multi-objective co-optimization strategy. It enables intelligent design of chemical compositions and processing parameters for thermo-mechanica…
View article: GIWT-YOLO: an efficient multi-scale framework for real-time Scolytinae pests detection
GIWT-YOLO: an efficient multi-scale framework for real-time Scolytinae pests detection Open
The broad range of Scolytinae pests sizes and their subtle visual similarities, especially in smaller species, continue to challenge the accuracy of mainstream object detection models. To address these challenges, this paper proposes GIWT-…
View article: Design, Analysis, and Testing of a Novel 5-DOF Flexure-Based Alignment Stage
Design, Analysis, and Testing of a Novel 5-DOF Flexure-Based Alignment Stage Open
A high pattern resolution is critical for fabricating roll-to-roll printed electronics (R2RPE) products. For enhanced overlay alignment accuracy, position errors between the printer and the substrate web must be eliminated, particularly in…
View article: Containment control for stochastic multiagent systems under denial-of-service attacks: a security-adaptive multichannel event-triggered control method
Containment control for stochastic multiagent systems under denial-of-service attacks: a security-adaptive multichannel event-triggered control method Open
This paper is concerned with the event-triggered containment control issue for a class of stochastic nonlinear multiagent systems (MASs) under aperiodic denial-of-service (DoS) attacks. Unlike the existing event-triggered mechanisms (ETMs)…
View article: Research on the Value-Added Pathways of Government-Invested EPC Projects Based on DEMATEL–TAISM–MICMAC
Research on the Value-Added Pathways of Government-Invested EPC Projects Based on DEMATEL–TAISM–MICMAC Open
Government-invested Engineering, Procurement, and Construction (EPC) projects often encounter challenges, such as ambiguous value-added pathways and undefined key driving mechanisms, which impede efficiency improvements during implementati…
View article: Semi-Supervised Adversarial Self-Integration Network for Medical Image Segmentation
Semi-Supervised Adversarial Self-Integration Network for Medical Image Segmentation Open
View article: Numerical Simulation of Double-Layer Nanoplates Based on Fractional Model and Shifted Legendre Algorithm
Numerical Simulation of Double-Layer Nanoplates Based on Fractional Model and Shifted Legendre Algorithm Open
This study focuses on the numerical solution and dynamics analysis of fractional governing equations related to double-layer nanoplates based on the shifted Legendre polynomials algorithm. Firstly, the fractional governing equations of the…
View article: Efficacy prediction model of hematoporphyrin monomethyl ether photodynamic therapy for facial port-wine stains
Efficacy prediction model of hematoporphyrin monomethyl ether photodynamic therapy for facial port-wine stains Open
Our findings provide dermatologists with an accurate and effective tool for predicting PDT efficacy, facilitating the individualized management of facial PWS.
View article: Systemic lupus erythematosus caused acquired hemophilia B without evidence of factor IX inhibitors
Systemic lupus erythematosus caused acquired hemophilia B without evidence of factor IX inhibitors Open
View article: Blockchain-based heterogeneous resource configuration scheme in computing power network
Blockchain-based heterogeneous resource configuration scheme in computing power network Open
To provide users with on-demand computing and network resources while ensuring service quality, the concept of a computational power network has emerged. However, efficiently allocating these resources to achieve an optimal balance between…
View article: An Intrusion Detection Method Based on Symmetric Federated Deep Learning in Complex Networks
An Intrusion Detection Method Based on Symmetric Federated Deep Learning in Complex Networks Open
The rapid development of the current 5G/6G network has added tremendous pressure to traditional security detection in the scenario of dealing with large-scale network attacks, resulting in high time complexity and low efficiency of attack …
View article: LD-Det: Lightweight Ship Target Detection Method in SAR Images via Dual Domain Feature Fusion
LD-Det: Lightweight Ship Target Detection Method in SAR Images via Dual Domain Feature Fusion Open
Ship detection technology represents a significant research focus within the application domain of synthetic aperture radar. Among all the detection methods, the deep learning method stands out for its high accuracy and high efficiency. Ho…
View article: Efficient Spiking Neural Network for RGB–Event Fusion-Based Object Detection
Efficient Spiking Neural Network for RGB–Event Fusion-Based Object Detection Open
Robust object detection in challenging scenarios remains a critical challenge for autonomous driving systems. Inspired by human visual perception, integrating the complementary modalities of RGB frames and event streams presents a promisin…
View article: NAD<sup>+</sup> Metabolism Reprogramming Drives SIRT1‐Dependent Deacetylation Inducing PD‐L1 Nuclear Localization in Cervical Cancer
NAD<sup>+</sup> Metabolism Reprogramming Drives SIRT1‐Dependent Deacetylation Inducing PD‐L1 Nuclear Localization in Cervical Cancer Open
Cervical cancer (CC) is a major health threat to women, with immunotherapies targeting the programmed death receptor 1/programmed death ligand 1(PD‐1/PD‐L1) axis showing promise but encountering resistance in a significant patient populati…
View article: LintLLM: An Open-Source Verilog Linting Framework Based on Large Language Models
LintLLM: An Open-Source Verilog Linting Framework Based on Large Language Models Open
Code Linting tools are vital for detecting potential defects in Verilog code. However, the limitations of traditional Linting tools are evident in frequent false positives and redundant defect reports. Recent advancements in large language…
View article: Wake field prediction of a wind farm based on a physics-informed neural network with different spatiotemporal prediction performance improvement strategies
Wake field prediction of a wind farm based on a physics-informed neural network with different spatiotemporal prediction performance improvement strategies Open
Dynamic wake field information is vital for the optimized design and control of wind farms. Combined with sparse measurement data from light detection and ranging (LiDAR), the physics-informed neural network (PINN) frameworks have recently…
View article: Design of Variable Boundary Layer Sliding Mode Observer for Permanent Magnet Synchronous Motor Based on Fuzzy Control
Design of Variable Boundary Layer Sliding Mode Observer for Permanent Magnet Synchronous Motor Based on Fuzzy Control Open
View article: Frequency-Domain Physics-Informed Neural Networks for Poroelastic Media under Harmonic Loading
Frequency-Domain Physics-Informed Neural Networks for Poroelastic Media under Harmonic Loading Open
View article: Gtfkan:A Novel Microbe-Drug Association Prediction Model Based on Graph Transformer and Fourier Kolmogorov-Arnold Networks
Gtfkan:A Novel Microbe-Drug Association Prediction Model Based on Graph Transformer and Fourier Kolmogorov-Arnold Networks Open
View article: Stability analysis of fractional-order quaternion-valued neural networks with multiple delays and parameter uncertainties
Stability analysis of fractional-order quaternion-valued neural networks with multiple delays and parameter uncertainties Open
This paper proposes a fractional-order quaternion-valued neural network (FOQVNN) model with dual proportional delays, neutral delays, and parameter uncertainties. By leveraging classical lemmas and a relaxed linear matrix inequality (LMI) …
View article: Integrating Distributed Model Predictive Control into Multi-Time Scale Optimization of Energy Systems
Integrating Distributed Model Predictive Control into Multi-Time Scale Optimization of Energy Systems Open
View article: Antimicrobial Activity of Compounds Isolated from the Nest Material of Crematogaster rogenhoferi (Mayr) (Hymenoptera: Formicidae)
Antimicrobial Activity of Compounds Isolated from the Nest Material of Crematogaster rogenhoferi (Mayr) (Hymenoptera: Formicidae) Open
Ants as social insects live in groups, which increases the risk of contagious diseases. In response to the threat of pathogens, ants have evolved a variety of defense mechanisms, including incorporating antimicrobial chemicals into nest ma…
View article: Adenoid facies: a long-term vicious cycle of mouth breathing, adenoid hypertrophy, and atypical craniofacial development
Adenoid facies: a long-term vicious cycle of mouth breathing, adenoid hypertrophy, and atypical craniofacial development Open
Adenoid hypertrophy (AH) is characterized by pathological hyperplasia of the nasopharyngeal tonsils, a component of Waldryer’s ring, which represents the first immune defense of the upper respiratory tract. The pathogenic factors contribut…
View article: ITS: Implicit Thin Shell for Polygonal Meshes
ITS: Implicit Thin Shell for Polygonal Meshes Open
In computer graphics, simplifying a polygonal mesh surface~$\mathcal{M}$ into a geometric proxy that maintains close conformity to~$\mathcal{M}$ is crucial, as it can significantly reduce computational demands in various applications. In t…
View article: Distributed Adaptive Time-Varying Optimization with Global Asymptotic Convergence
Distributed Adaptive Time-Varying Optimization with Global Asymptotic Convergence Open
In this note, we study distributed time-varying optimization for a multi-agent system. We first focus on a class of time-varying quadratic cost functions, and develop a new distributed algorithm that integrates an average estimator and an …
View article: Application of next-generation sequencing in acute tonsillitis complicated with descending necrotizing mediastinitis: A case report
Application of next-generation sequencing in acute tonsillitis complicated with descending necrotizing mediastinitis: A case report Open
Rationale: Descending necrotizing mediastinitis (DNM) is a rare but serious complication of oral and cervical infections that is associated with high mortality because diagnosis can be difficult or delayed. Early diagnosis and accurate ide…
View article: Optimization of PID control parameters for marine dual-fuel engine using improved particle swarm algorithm
Optimization of PID control parameters for marine dual-fuel engine using improved particle swarm algorithm Open
View article: A novel fixed‐time ZNN model and application to robot trajectory tracking
A novel fixed‐time ZNN model and application to robot trajectory tracking Open
In order to achieve robot trajectory tracking in fixed‐time, a novel fixed‐time zeroing neural network model is designed. Initially, the inverse kinematic model of robot trajectory tracking is translated into a time‐varying quadratic progr…
View article: Energy Price Fluctuation and Real Estate Market Risk Prevention—Empirical Evidence at the Prefecture-Level City Level in China
Energy Price Fluctuation and Real Estate Market Risk Prevention—Empirical Evidence at the Prefecture-Level City Level in China Open
The impact of energy price fluctuation on the macro economy is a hot issue that is continuously concerned by the academic community, but few literature have paid attention to the impact of energy price fluctuation on housing price and the …
View article: On the Adversarial Robustness of Learning-based Image Compression Against Rate-Distortion Attacks
On the Adversarial Robustness of Learning-based Image Compression Against Rate-Distortion Attacks Open
Despite demonstrating superior rate-distortion (RD) performance, learning-based image compression (LIC) algorithms have been found to be vulnerable to malicious perturbations in recent studies. However, the adversarial attacks considered i…