Explanipedia

Self-attention hierarchical kernel reservoir state network for inland water level prediction Open

Xiaohan Xu, Kitsuchart Pasupa, Chu Kiong Loo, Mingyang Pan · 2025

Midinfrared Semiconductor Photonics - A Roadmap Open

J. R. Meyer, I. Vurgaftman, S. -Q. Yu, Rui Yang, A. M. Andrews , et al. · 2025

Semiconductor photonic devices operating in the midwave infrared (mid-IR, which we roughly define here as wavelengths spanning 3 to 14 microns) uniquely address a wide range of current practical needs. These include chemical sensing, envir…

Dynamic Spatio-Temporal Modeling for Vessel Traffic Flow Prediction with FSTformer Open

Dong Zhang, Hongzhong Xu, Yongfeng Guo, Shaoxi Li, Yi Lu , et al. · 2025

With the rapid growth of global shipping, accurate vessel traffic prediction is essential for waterway management and navigation safety. This study proposes the Fusion Spatio-Temporal Transformer (FSTformer) to address non-Gaussianity, non…

Hybrid Obstacle Avoidance Algorithm Based on IAPF and MPC for Underactuated Multi-USV Formation Open

Hui Sun, Qing Xue, Mingyang Pan, Zongying Liu, Hangqi Li · 2025

In this paper, we propose a hybrid algorithm that integrates an improved artificial potential field method (IAPF), model predictive control (MPC), and an extended state observer (ESO) to address the obstacle avoidance problem in multi-unma…

A Data-Driven Approach for Energy Consumption Modeling and Optimization of Welding Robot Systems Open

Mingyang Pan, Bingqi Jia, Lei Zhang, Haihong Pan, Lin Chen · 2025

Welding robots play a crucial role in manufacturing industries, where minimizing energy consumption (EC) is increasingly important for enhancing efficiency and reducing operational costs. This study presents a data-driven approach to model…

Adaptive Temporal Reinforcement Learning for Mapping Complex Maritime Environmental State Spaces in Autonomous Ship Navigation Open

Ruolan Zhang, Xinyu Qin, Mingyang Pan, Shaoxi Li, Helong Shen · 2025

The autonomous decision-making model for ship navigation requires extensive interaction and trial-and-error in real, complex environments to ensure optimal decision-making performance and efficiency across various scenarios. However, exist…

The State of Health Estimation of Retired Lithium-Ion Batteries Using a Multi-Input Metabolic Gated Recurrent Unit Open

Yu He, Norasage Pattanadech, Kasiean Sukemoke, Mingyang Pan, Lin Chen · 2025

With the increasing adoption of lithium-ion batteries in energy storage systems, accurately monitoring the State of Health (SoH) of retired batteries has become a pivotal technology for ensuring their safe utilization and maximizing their …

Application of Augmented Reality in Waterway Traffic Management Using Sparse Spatiotemporal Data Open

Ruolan Zhang, Yue Ai, Shaoxi Li, Jingfeng Hu, Jiangling Hao , et al. · 2025

The development of China’s digital waterways has led to the extensive deployment of cameras along inland waterways. However, the limited processing and utilization of digital resources hinder the ability to provide waterway services. To ad…

Edge-Based Dynamic Spatiotemporal Data Fusion on Smart Buoys for Intelligent Surveillance of Inland Waterways Open

Ruolan Zhang, Chenhui Zhao, Bin Guo, Jingfeng Hu, Mingyang Pan · 2025

Increasing vessel traffic in narrow, winding inland waterways has heightened the risk of accidents, driving the need for improved surveillance and management. This study addresses the challenge of real-time processing and synchronization o…

Identification and Removal of Light Pollution in Maritime Night-Time Images Based on Spatial Frequency Blocks Open

Hui Sun, Jingyang Wang, Mingyang Pan, Zongying Liu, Shaoxi Li , et al. · 2025

The safety of ships during nighttime navigation has always been a major concern. With the widespread application of technologies such as intelligent recognition, intelligent detection, and unmanned ship navigation at night, nighttime marit…

Surface Current Visualization in Waterway Based on Mike 21 Model and S-100 Standards Open

Zixuan Wang, Mingyang Pan, Shaoxi Li, Chao Li, Zongying Liu · 2025

Compressible Multiphase Model for Projectile-Induced Shock Waves and Cavitation Flows in High-Speed Water Entry Open

Liu Yang, J. Xiang, Zhao Xue, Detan Man, Xiaoguang Wang , et al. · 2025

Ship Trajectory Prediction in Complex Waterways Based on Transformer and Social Variational Autoencoder (SocialVAE) Open

Pengyue Wang, Mingyang Pan, Zongying Liu, Shaoxi Li, Yuanlong Chen , et al. · 2024

Ship trajectory prediction plays a key role in the early warning and safety of maritime traffic. It is a necessary assistant tool that can forecast a ship’s trajectory in a certain period to prevent ship collision. However, highly precise …

ELLMA-T: an Embodied LLM-agent for Supporting English Language Learning in Social VR Open

Mingyang Pan, Alexandra Kitson, Hongyu Wan, Mirjana Prpa · 2024

Many people struggle with learning a new language, with traditional tools falling short in providing contextualized learning tailored to each learner's needs. The recent development of large language models (LLMs) and embodied conversation…

Thermodynamics and Cavitating Flows During Subsonic and Transonic Water Entry of Projectiles Open

Liu Yang, J. Xiang, Huifeng Kang, Weixue Xia, Mingyang Pan · 2024

MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing Open

Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Wanxiang Che , et al. · 2023

Text-to-SQL semantic parsing is an important NLP task, which facilitates the interaction between users and the database. Much recent progress in text-to-SQL has been driven by large-scale datasets, but most of them are centered on English.…

Semantics analysis model based on deep learning for vessel traffic service application Open

Xue Han, Mingyang Pan, Zongying Liu, Meng Han, Hui Sun , et al. · 2023

Vessel Traffic Service (VTS) significantly improves the navigation efficiency of ports. This paper proposes a model called Joint Extraction of Triples from the VHF Speech (JER‐VHF) to ensure the efficiency of the VTS. Numerous texts are ex…

Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge Open

Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang , et al. · 2023

In this paper, we study the problem of knowledge-intensive text-to-SQL, in which domain knowledge is necessary to parse expert questions into SQL queries over domain-specific tables. We formalize this scenario by building a new Chinese ben…

MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing Open

Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Wanxiang Che , et al. · 2022

Text-to-SQL semantic parsing is an important NLP task, which greatly facilitates the interaction between users and the database and becomes the key component in many human-computer interaction systems. Much recent progress in text-to-SQL h…

Derivation of Relation between Angle of Attack and Effect of Leading Edge Erosion on Airfoils at the Tip of Wind Turbine Blades Open

Mingyang Pan · 2022

Leading-edge erosion of wind turbines is caused by particles in wind. Impacts at a high velocity damage the blades severely and lower the aerodynamic efficiency. The aim of this paper is to estimate the flow rate hitting on the leading edg…

A Novel Reformed Reduced Kernel Extreme Learning Machine with RELIEF-F for Classification Open

Zongying Liu, Jiangling Hao, Dongrui Yang, Ghalib Ahmed Tahir, Mingyang Pan · 2022

With the exponential growth of the Internet population, scientists and researchers face the large-scale data for processing. However, the traditional algorithms, due to their complex computation, are not suitable for the large-scale data, …

UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL Open

Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Jian–Guang Lou , et al. · 2022

Existing text-to-SQL semantic parsers are typically designed for particular settings such as handling queries that span multiple tables, domains or turns which makes them ineffective when applied to different settings. We present UniSAr (U…

VHF Speech Enhancement Based on Transformer Open

Xue Han, Mingyang Pan, Zheng-zhong Li, Haipeng Ge, Zongying Liu · 2022

To solve the poor quality of Very high frequency (VHF) speech communication in the navigation field, a VHF speech enhancement model based on an improved transformer (VHFSE) is proposed in this paper. The long-term and short-term noise are …

Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge Open

Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang , et al. · 2022

Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Min-Yen Kan, Jian-Guang Lou. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.

Survey on Deep Learning-Based Marine Object Detection Open

Ruolan Zhang, Shaoxi Li, Guanfeng Ji, Zhao Xiu-ping, Jing Li , et al. · 2021

We present a survey on marine object detection based on deep neural network approaches, which are state-of-the-art approaches for the development of autonomous ship navigation, maritime surveillance, shipping management, and other intellig…

Maritime Target Detection Based on Electronic Image Stabilization Technology of Shipborne Camera Open

Xiongfei Shan, Mingyang Pan, Depeng Zhao, Deqiang Wang, Feng-Jang Hwang , et al. · 2021

During the detection of maritime targets, the jitter of the shipborne camera usually causes the video instability and the false or missed detection of targets. Aimed at tackling this problem, a novel algorithm for maritime target detection…

An Efficient and Fast Model Reduced Kernel KNN for Human Activity Recognition Open

Zongying Liu, Shaoxi Li, Jiangling Hao, Jingfeng Hu, Mingyang Pan · 2021

With accumulation of data and development of artificial intelligence, human activity recognition attracts lots of attention from researchers. Many classic machine learning algorithms, such as artificial neural network, feed forward neural …

Multilabel Video Classification Model of Navigation Mark’s Lights Based on Deep Learning Open

Xu Han, Mingyang Pan, Haipeng Ge, Shaoxi Li, Jingfeng Hu , et al. · 2021

At night, buoys and other navigation marks disappear to be replaced by fixed or flashing lights. Navigation marks are seen as a set of lights in various colors rather than their familiar outline. Deciphering that the meaning of the lights …

Intelligent Recognition System Based on Contour Accentuation for Navigation Marks Open

Yanke Du, Shuo Sun, Shi Qiu, Shaoxi Li, Mingyang Pan , et al. · 2021

Sensing navigational environment represented by navigation marks is an important task for unmanned ships and intelligent navigation systems, and the sensing can be performed by recognizing the images from a camera. In order to improve the …

Lightweight Ship Detection Methods Based on YOLOv3 and DenseNet Open

Zhelin Li, Lining Zhao, Xu Han, Mingyang Pan, Feng-Jang Hwang · 2020

Ship detection is one of the most important research contents of ship intelligent navigation and monitoring. As a supplement to classical navigational equipment such as radar and the Automatic Identification System (AIS), target detection …

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