Explanipedia

The Effects and Fate of Perfluorooctane Sulfonate (Pfos) in Sludge Anaerobic Digestion: Carbon Metabolisms, Microbial Functionality, and Molecular Blocking Dynamics Open

Zhaobin Liu, Yijing Gao, Junqiang Wang, Xinyu Jing, Xue Chen , et al. · 2025

The Effects and Fate of Perfluorooctane Sulfonate (Pfos) in Sludge Anaerobic Digestion: Carbon Metabolisms, Microbial Functionality, and Molecular Blocking Dynamics Open

Zhaobin Liu, Yijing Gao, Junqiang Wang, Xinyu Jing, Xue Chen , et al. · 2025

Bioelectrocatalysis Effects on Methanogenesis Enhancement and Regulation Mechanisms of Microbial Ecology in Upflow Anaerobic Sludge Blanket Treatment of Sulfate-Stressed Methanolic Wastewater Open

Yijing Gao, Shiliang Heng, Jiayi Wang, Yi‐Sheng Liu, Bin Chen , et al. · 2024

An in-depth survey on Deep Learning-based Motor Imagery Electroencephalogram (EEG) classification Open

Xianheng Wang, Veronica Liesaputra, Zhaobin Liu, Yì Wáng, Zhiyi Huang · 2023

Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) build a communication path between human brain and external devices. Among EEG-based BCI paradigms, the most commonly used one is motor imagery (MI). As a hot research topic…

Smooth Group L1/2 Regularization for Pruning Convolutional Neural Networks Open

Yuan Bao, Zhaobin Liu, Zhongxuan Luo, Sibo Yang · 2022

In this paper, a novel smooth group L1/2 (SGL1/2) regularization method is proposed for pruning hidden nodes of the fully connected layer in convolution neural networks. Usually, the selection of nodes and weights is based on experience, a…

Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting Open

Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li , et al. · 2021

With the burst development of neural networks in recent years, the task of normal estimation has once again become a concern. By introducing the neural networks to classic methods based on problem-specific knowledge, the adaptability of th…

Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching Open

Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li , et al. · 2021

This paper presents an effective normal estimation method adopting multi-patch stitching for an unstructured point cloud. The majority of learning-based approaches encode a local patch around each point of a whole model and estimate the no…

Temporal Index Scheme of Hyperledger Fabric System in IoT Open

Yongqiang Lü, Zhaobin Liu, Shaoqi Wang, Zhiyang Li, Weijiang Liu , et al. · 2021

As a large number of mobile terminals are connected to the IoT, the security problem of IoT is a challenge to the IoT technology. Blockchain technology has the characteristics of decentralization, data encryption, smart contract, and so on…

Influence of hydrogen-like nucleus mass on electronic state Open

Zhaobin Liu, Kai Li, Tian-Hai Zeng, Feng Wang, Xin-Bing Song , et al. · 2020

In an isolated two-body composite system, the discussion of how the change of one body affects the state of the other will help to know the relation of a single particle's mixed and pure states. Given 5 one-dimensional hydrogen-like atoms …

Abnormal Behavior Recognition Based on Spatio-temporal Context Open

Yuanfeng Yang, Li Lin, Zhaobin Liu, Gang Liu · 2020

This paper presents a new approach for detecting abnormal behaviors in complex surveillance scenes where anomalies are subtle and difficult to distinguish due to the intricate correlations among multiple objects’ behaviors. Specifically, a…

Research on improved privacy publishing algorithm based on set cover Open

Haoze Lv, Zhaobin Liu, Zhonglian Hu, Lihai Nie, Weijiang Liu , et al. · 2019

With the invention of big data era, data releasing is becoming a hot topic in database community. Meanwhile, data privacy also raises the attention of users. As far as the privacy protection models that have been proposed, the differential…

DynaPro: Dynamic Wireless Sensor Network Data Protection Algorithm in IoT via Differential Privacy Open

Songyan Li, Zhaobin Liu, Zhiyi Huang, Haoze Lyu, Zhiyang Li , et al. · 2019

With the advent of the era of intelligent Internet of Things (IoT), more and more personal information are collected in the process of deploying IoT in various domains. This brings the problem of data protection in IoT. To address this pro…

Noise-added selection method for location-based service using differential privacy in Internet of Things Open

Zhimin Li, Haoze Lv, Zhaobin Liu · 2019

With the development of Internet of Things, many applications need to use people’s location information, resulting in a large amount of data need to be processed, called big data. In recent years, people propose many methods to protect pri…

An Effective Data Privacy Protection Algorithm Based on Differential Privacy in Edge Computing Open

Yi Qiao, Zhaobin Liu, Haoze Lv, Minghui Li, Zhiyi Huang , et al. · 2019

With the rapid development of information science and the Internet of Things (IoT), people have an unprecedented ability to collect and share data, especially the various sensors as the entrance to data collection. At the same time, edge c…

A novel self-adaptive grid-partitioning noise optimization algorithm based on differential privacy Open

Zhaobin Liu, Haoze Lv, Minghui Li, Zhiyang Li, Zhiyi Huang · 2019

As the development of the big data and Internet, the data sharing of users that contains lots of useful information are needed more frequently. In particular, with the widespread of smart devices, a great deal of location-based data inform…

Effective Piecewise Linear Skeletonization of Sparse Shapes Open

Wenyu Qu, Zhiyang Li, Junfeng Wu, Yinan Wu, Zhaobin Liu · 2018

Conventional image skeletonization techniques implicitly assume the pixel level connectivity. However, noise inside the object regions destroys the connectivity and exhibits sparseness in the image. We present a skeletonization algorithm d…

Differential Privacy via Weighted Sampling Set Cover Open

Zhonglian Hu, Zhaobin Liu, Yangyang Xu, Zhiyang Li · 2016

Differential privacy is a security guarantee model which widely used in privacy preserving data publishing, but the query result can't be used in data research directly, especially in high-dimensional datasets.To address this problem, we p…

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