Explanipedia

Network-Wide GIS Mapping of Cycling Vibration Comfort: From Methodology to Real-World Implementation Open

Jie Gao, Xiaoyong Wu, Zijie Xie, Liang Song, Sun Fang · 2025

Cycling-induced vibration significantly affects riding comfort, with road surface conditions and vehicle type identified as primary contributing factors. This study developed a vibration measurement system based on ISO 2631-1, and proposed…

Lightweight Explicit 3D Human Digitization via Normal Integration Open

Jiaxuan Liu, Jingyi Wu, Ruiyang Jing, Han Yu, Jing Liu , et al. · 2025

In recent years, generating 3D human models from images has gained significant attention in 3D human reconstruction. However, deploying large neural network models in practical applications remains challenging, particularly on resource-con…

A Survey on Diffusion Models for Anomaly Detection Open

Jing Liu, Zhenchao Ma, Zepu Wang, Yang Liu, Zehua Wang , et al. · 2025

Diffusion models (DMs) have emerged as a powerful class of generative AI models, showing remarkable potential in anomaly detection (AD) tasks across various domains, such as cybersecurity, fraud detection, healthcare, and manufacturing. Th…

Network-Wide GIS Mapping of Cycling Vibration Comfort: From Methodology to Real-World Implementation Open

Xiaoyong Wu, Zijie Xie, Jie Gao, Liang Song, Sun Fang · 2025

Networking Systems for Video Anomaly Detection: A Tutorial and Survey Open

Jing Liu, Yang Liu, Jieyu Lin, Jielin Li, Peng Sun , et al. · 2024

The increasing utilization of surveillance cameras in smart cities, coupled with the surge of online video applications, has heightened concerns regarding public security and privacy protection, which propelled automated Video Anomaly Dete…

Decoding Bilingual EEG Signals With Complex Semantics Using Adaptive Graph Attention Convolutional Network Open

Chengfang Li, Yang Liu, Jielin Li, Yuhao Miao, Jing Liu , et al. · 2024

Decoding neural signals of silent reading with Brain-Computer Interface (BCI) techniques presents a fast and intuitive communication method for severely aphasia patients. Electroencephalogram (EEG) acquisition is convenient and easily wear…

Human-Robot Interaction of a Craniotomy Robot Based on Fuzzy Model Reference Learning Control Open

Jianguo Zhang, Yizhuo Li, Fengling Hu, Peng Chen, Han Zhang , et al. · 2024

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Weed target detection at seedling stage in paddy fields based on YOLOX Open

Xiangwu Deng, Long Qi, Zhuwen Liu, Liang Song, Kunsong Gong , et al. · 2023

Weeds are one of the greatest threats to the growth of rice, and the loss of crops is greater in the early stage of rice growth. Traditional large-area spraying cannot selectively spray weeds and can easily cause herbicide waste and enviro…

Learning Causality-inspired Representation Consistency for Video Anomaly Detection Open

Yang Liu, Zhaoyang Xia, Mengyang Zhao, Donglai Wei, Yuzheng Wang , et al. · 2023

Video anomaly detection is an essential yet challenging task in the multimedia community, with promising applications in smart cities and secure communities. Existing methods attempt to learn abstract representations of regular events with…

Human Activity Recognition Method Based on FMCW Radar Sensor with Multi-Domain Feature Attention Fusion Network Open

Lin Cao, Liang Song, Zongmin Zhao, Dongfeng Wang, Chong Fu , et al. · 2023

This paper proposes a human activity recognition (HAR) method for frequency-modulated continuous wave (FMCW) radar sensors. The method utilizes a multi-domain feature attention fusion network (MFAFN) model that addresses the limitation of …

Research on a Target Detection Method for Alternanthera Philoxeroides in the Rice Seedling Stage Based on Single-Shot Multibox Detector Open

Xiangwu Deng, Zhuwen Liu, Kunsong Gong, Liang Song, Guangjun Qiu , et al. · 2023

Alternanthera philoxeroides, an invasive alien malignant weed, competes with rice for water, fertilizer, light, and growth space before seedling closure stages, which commonly stresses the growth of rice. Chemical herbicides are mainly use…

Memory-Enhanced Spatial-Temporal Encoding Framework for Industrial Anomaly Detection System Open

Yang Liu, Bobo Ju, Peng Sun, Di Li, Chengfang Li , et al. · 2023

Rapid Analysis of Composition of Coal Gangue Based on Deep Learning and Thermal Infrared Spectroscopy Open

Liang Song, Ying Yu, Zelin Yan, Dong Xiao, Yongqi Sun , et al. · 2022

Coal gangue is the main solid waste in coal mining areas, and its annual emissions account for about 10% of coal production. The composition information of coal gangue is the basis of reasonable utilization of coal gangue, and according to…

Multi-Agent Multi-View Collaborative Perception Based on Semi-Supervised Online Evolutive Learning Open

Di Li, Liang Song · 2022

In the edge intelligence environment, multiple sensing devices perceive and recognize the current scene in real time to provide specific user services. However, the generalizability of the fixed recognition model will gradually weaken due …

Mutual match for semi-supervised online evolutive learning Open

Di Li, Xiaoguang Zhu, Liang Song · 2022

Semi-supervised learning (SSL) can utilize a large amount of unlabeled data for self-training and continuous evolution with only a few annotations. This feature makes SSL a potential candidate for dealing with data from changing and real-t…

Networking Systems of AI: On the Convergence of Computing and Communications Open

Liang Song, Xing Hu, Guanhua Zhang, Petros Spachos, Konstantinos N. Plataniotis , et al. · 2022

Artificial intelligence (AI) and 5G system have been two hot technical areas that are changing the world. On the deep convergence of computing and communication, networking systems of AI (NSAI) is presenting a paradigm shift, where distrib…

Decoding Human Visual Colour EEG Information Using Machine Learning and Visual Evoked Potentials Open

Yijia Wu, Xinhua Zeng, Kaiqiang Feng, Donglai Wei, Liang Song · 2022

With the rapid development of brain-computer interfaces (BCIs), human visual decoding, one of the important research directions of BCIs, has attracted a substantial amount of attention. However, most visual decoding studies have focused on…

Improving BLE Beacon Proximity Estimation Accuracy through Bayesian Filtering Open

Andrew Mackey, Petros Spachos, Liang Song, Konstantinos N. Plataniotis · 2020

The interconnectedness of all things is continuously expanding which has allowed every individual to increase their level of interaction with their surroundings. Internet of Things (IoT) devices are used in a plethora of context-aware appl…

Machine-learning classifiers for logographic name matching in public health applications: approaches for incorporating phonetic, visual, and keystroke similarity in large-scale probabilistic record linkage Open

Philip A. Collender, Zhiyue Tom Hu, Charles Li, Cheng Qu, Xintong Li , et al. · 2020

Approximate string-matching methods to account for complex variation in highly discriminatory text fields, such as personal names, can enhance probabilistic record linkage. However, discriminating between matching and non-matching strings …

Simple and robust near‐optimal single differential detection scheme for IEEE 802.15.4 BPSK receivers Open

Gaoyuan Zhang, Wen Hong, Longye Wang, Liang Song, Jie Tang , et al. · 2018

In this study, the authors propose a simple and robust near‐optimal single differential coherent detection scheme for IEEE 802.15.4 binary phase shift keying (BPSK) receivers. The detection process is initiated by a bootstrap processor, wh…

Simple Adaptive Single Differential Coherence Detection of BPSK Signals in IEEE 802.15.4 Wireless Sensor Networks Open

Gaoyuan Zhang, Hong Wen, Longye Wang, Ping Xie, Liang Song , et al. · 2017

In this paper, we propose an adaptive single differential coherent detection (SDCD) scheme for the binary phase shift keying (BPSK) signals in IEEE 802.15.4 Wireless Sensor Networks (WSNs). In particular, the residual carrier frequency off…

Multigrades Classification Model of Magnesite Ore Based on SAE and ELM Open

Yachun Mao, Dong Xiao, Jinfu Cheng, Defu Che, Ba Tuan Le , et al. · 2017

Magnesite is an important raw material for extracting magnesium metal and magnesium compound; how precise its grade classification exerts great influence on the smelting process. Thus, it is increasingly important to determine fast and acc…

Research on Coal Exploration Technology Based on Satellite Remote Sensing Open

Dong Xiao, Ba Tuan Le, Yachun Mao, Jinhong Jiang, Liang Song , et al. · 2016

Coal is the main source of energy. In China and Vietnam, coal resources are very rich, but the exploration level is relatively low. This is mainly caused by the complicated geological structure, the low efficiency, the related damage, and …

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