Explanipedia

Do ESG-superstar firms inhibit the ESG performance of their industry peers? Open

Wu Deng, Zhongliang Nie · 2025

Corporate ESG (Environmental, Social, and Governance) practices play a vital role in sustainable development. As industry leaders, ESG star companies set an example that promotes overall progress but may also cause inefficient ESG escalati…

SpeedNet: dual-channel CNN-GRU network with adaptive noise fusion for robust vehicle dead reckoning in GNSS-denied environments Open

Meiying Qiao, Yunqiang Qiu, Ang Li, Jian Zhou, Wu Deng · 2025

To address error accumulation and dynamic disturbances in inertial navigation systems for ground vehicles operating in GNSS-denied environments, this paper proposes a collaborative navigation method integrating deep learning with adaptive …

From Easy to Hard: The MIR Benchmark for Progressive Interleaved Multi-Image Reasoning Open

Hang Du, Jiayang Zhang, Guoshun Nan, Wu Deng, Zhongyang Chen , et al. · 2025

Multi-image Interleaved Reasoning aims to improve Multi-modal Large Language Models (MLLMs) ability to jointly comprehend and reason across multiple images and their associated textual contexts, introducing unique challenges beyond single-…

Risk Analysis Method of Aviation Critical System Based on Bayesian Networks and Empirical Information Fusion Open

Xiangjun Dang, Yongxuan Shao, Haoming Liu, Zhe Yang, Manli Zhong , et al. · 2025

The intrinsic hazards associated with high-pressure hydrogen, combined with electromechanical interactions in hybrid architectures, pose significant challenges in predicting potential system risks during the conceptual design phase. In thi…

A novel fuzzy system-based genetic algorithm for trajectory segment generation in urban global positioning system Open

Xiaojuan Ran, Naret Suyaroj, Worawit Tepsan, Lei Mu, Hongjiang Ma , et al. · 2025

The proposed FGA offers an effective and adaptive solution for trajectory segment generation in urban GPS system. Future work will explore enhancing its scalability, robustness to noise, and rule generalization across diverse datasets.

Risk Assessment of Hydrogen-Powered Aircraft: An Integrated HAZOP and Fuzzy Dynamic Bayesian Network Framework Open

Xiangjun Dang, Yongxuan Shao, Haoming Liu, Zhe Yang, Manli Zhong , et al. · 2025

To advance the hydrogen energy-driven low-altitude aviation sector, it is imperative to establish sophisticated risk assessment frameworks tailored for hydrogen-powered aircraft. Such methodologies will deliver fundamental guidelines for t…

Research on the Knowledge and Action Educational Concept from the Perspective of Chinese and Foreign Universities Mottos Open

Xu Ding, Wu Deng, Zhengcheng Ye · 2025

In today's globalized world, higher education institutions serve as the epicenters for nurturing top-tier talent, and their school motto culture encapsulates their core educational philosophies. The Knowledge and Action educational concept…

A hybrid GRASP and VND heuristic for vehicle routing problem with dynamic requests Open

Shifeng Chen, Yanlan Yin, Haitao Sang, Wu Deng · 2025

Constructing Generalized Local Carbon Emission Zones (Lcezs): A 2d/3d Urban Morphology Clustering Framework for Low-Carbon Planning Open

Jiaheng Ju, Shudi Zuo, Wu Deng, R. Liang, Linjun Xie , et al. · 2025

Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly Open

Hang Du, Guoshun Nan, Jessica Qian, W. Wu, Wu Deng , et al. · 2024

Recent advancements in video anomaly understanding (VAU) have opened the door to groundbreaking applications in various fields, such as traffic monitoring and industrial automation. While the current benchmarks in VAU predominantly emphasi…

Joint Classification of Hyperspectral and LiDAR Data via Multiprobability Decision Fusion Method Open

Tao Chen, Sizuo Chen, Luying Chen, Huayue Chen, Bochuan Zheng , et al. · 2024

With the development of sensor technology, the sources of remotely sensed image data for the same region are becoming increasingly diverse. Unlike single-source remote sensing image data, multisource remote sensing image data can provide c…

A Novel Two-Channel Classification Approach Using Graph Attention Network with K-Nearest Neighbor Open

Yang Wang, Lifeng Yin, Xiaolong Wang, Guanghai Zheng, Wu Deng · 2024

Graph neural networks (GNNs) typically exhibit superior performance in shallow architectures. However, as the network depth increases, issues such as overfitting and oversmoothing of hidden vector representations arise, significantly dimin…

Cross-Hopping Graph Networks for Hyperspectral–High Spatial Resolution (H2) Image Classification Open

Tao Chen, Tingting Wang, Huayue Chen, Bochuan Zheng, Wu Deng · 2024

As we take stock of the contemporary issue, remote sensing images are gradually advancing towards hyperspectral–high spatial resolution (H2) double-high images. However, high resolution produces serious spatial heterogeneity and spectral v…

Broad Learning System under Label Noise: A Novel Reweighting Framework with Logarithm Kernel and Mixture Autoencoder Open

Jiuru Shen, Huimin Zhao, Wu Deng · 2024

The Broad Learning System (BLS) has demonstrated strong performance across a variety of problems. However, BLS based on the Minimum Mean Square Error (MMSE) criterion is highly sensitive to label noise. To enhance the robustness of BLS in …

Enhanced Wild Horse Optimizer with Cauchy Mutation and Dynamic Random Search for Hyperspectral Image Band Selection Open

Tao Chen, Yue Sun, Huayue Chen, Wu Deng · 2024

The high dimensionality of hyperspectral images (HSIs) brings significant redundancy to data processing. Band selection (BS) is one of the most commonly used dimensionality reduction (DR) techniques, which eliminates redundant information …

A Delaunay triangulation based dynamic pricing approach to profit‐driven crowdsourced package delivery Open

Zhifeng Zhou, Rong Chen, Wu Deng · 2024

Crowdsourced package delivery (CPD) has gained great interest from the logistics industry and academe due to its signficant economic and environmental impact. A number of progresses have been reported; however, dynamic pricing, as a specia…

Artificial Bee Colony Optimization Algorithm with New Full Dimension Updating Strategy and Its Application Open

Yuangang Li, Xinrui GAO, Yingjie Song, Wu Deng · 2024

For the low accuracy and slow convergence of artificial bee colony (ABC) algorithm in solving complex optimization problems, a new full dimensional updating ABC/best/1 evolutionary strategy is designed to propose an improved ABC based on t…

Study on Aerodynamic Drag Reduction by Plasma Jets for 600 km/h Vacuum Tube Train Sets Open

Ang Li, Hongjiang Cui, Ying Guan, Jichen Deng, Ying Zhang , et al. · 2023

In order to break through the speed bottleneck, researchers envision using tubes to cover high-speed maglev trains and extract some of the air inside the tubes, creating a low-density environment on the ground, greatly reducing the aerodyn…

A Sparse Learning Method with Regularization Parameter as a Self-Adaptation Strategy for Rolling Bearing Fault Diagnosis Open

Yijie Niu, Wu Deng, Xuesong Zhang, Yuchun Wang, Guoqing Wang , et al. · 2023

Sparsity-based fault diagnosis methods have achieved great success. However, fault classification is still challenging because of neglected potential knowledge. This paper proposes a combined sparse representation deep learning (SR-DEEP) m…

Can Mergers and Acquisitions Promote Technological Innovation in the New Energy Industry? An Empirical Analysis Based on China’s Lithium Battery Industry Open

Jingyi Zhong, Weide Chun, Wu Deng, Hui Gao · 2023

The advancement of technological capabilities within lithium battery enterprises crucially facilitates the high-quality development of the new energy industry. This study aims to empirically investigate the impact of mergers and acquisitio…

Spectral Clustering Approach with K-Nearest Neighbor and Weighted Mahalanobis Distance for Data Mining Open

Lifeng Yin, Lei Lv, Dingyi Wang, Yingwei Qu, Huayue Chen , et al. · 2023

This paper proposes a spectral clustering method using k-means and weighted Mahalanobis distance (Referred to as MDLSC) to enhance the degree of correlation between data points and improve the clustering accuracy of Laplacian matrix eigenv…

Advanced Machine Learning Applications in Big Data Analytics Open

Taiyong Li, Wu Deng, Jiang Wu · 2023

We are currently living in the era of big data. [...]

Hyperspectral Image Classification Based on Fusing S3-PCA, 2D-SSA and Random Patch Network Open

Huayue Chen, Tingting Wang, Tao Chen, Wu Deng · 2023

Recently, the rapid development of deep learning has greatly improved the performance of image classification. However, a central problem in hyperspectral image (HSI) classification is spectral uncertainty, where spectral features alone ca…

Multi-objective pathfinder algorithm for multi-objective optimal power flow problem with random renewable energy sources: wind, photovoltaic and tidal Open

Ning Li, Guo Zhou, Yongquan Zhou, Wu Deng, Qifang Luo · 2023

In this paper, the multi-objective optimal power flow (MOOPF) problem optimization objectives focus on four optimization objectives: generation cost, emission, real power loss and voltage deviation (VD). Three renewable energy sources with…

Rail Surface Defect Detection Based on Image Enhancement and Improved YOLOX Open

Chunguang Zhang, Donglin Xu, Lifang Zhang, Wu Deng · 2023

During the long and high-intensity railway use, all kinds of defects emerge, which often produce light to moderate damage on the surface, which adversely affects the stable operation of trains and even endangers the safety of travel. Curre…

Study on Aerodynamic Drag Reduction at Tail of 400 km/h EMU with Air Suction-Blowing Combination Open

Hongjiang Cui, Guanxin Chen, Ying Guan, Wu Deng · 2023

In order to further reduce the aerodynamic drag of High-speed Electric Multiple Units (EMU), an active flow control drag reduction method combining air suction and blowing is proposed at the rear of the EMU train. A numerical calculation m…

A Multi-Strategy Adaptive Particle Swarm Optimization Algorithm for Solving Optimization Problem Open

Yingjie Song, Ying Liu, Huayue Chen, Wu Deng · 2023

In solving the portfolio optimization problem, the mean-semivariance (MSV) model is more complicated and time-consuming, and their relations are unbalanced because they conflict with each other due to return and risk. Therefore, in order t…

An Improved Density Peak Clustering Algorithm for Multi-Density Data Open

Lifeng Yin, Yingfeng Wang, Huayue Chen, Wu Deng · 2022

Density peak clustering is the latest classic density-based clustering algorithm, which can directly find the cluster center without iteration. The algorithm needs to determine a unique parameter, so the selection of parameters is particul…

A Novel Multistrategy-Based Differential Evolution Algorithm and Its Application Open

Jinyin Wang, Shifan Shang, Huanyu Jing, Jiahui Zhu, Yingjie Song , et al. · 2022

To address the poor searchability, population diversity, and slow convergence speed of the differential evolution (DE) algorithm in solving capacitated vehicle routing problems (CVRP), a new multistrategy-based differential evolution algor…

A Novel Color Image Encryption Algorithm Using Coupled Map Lattice with Polymorphic Mapping Open

Penghe Huang, Dongyan Li, Yu Wang, Huimin Zhao, Wu Deng · 2022

Some typical security algorithms such as SHA, MD4, MD5, etc. have been cracked in recent years. However, these algorithms have some shortcomings. Therefore, the traditional one-dimensional-mapping coupled lattice is improved by using the i…

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