Zhenni Li
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View article: Effect of bacterial nanocellulose addition on the interface properties and protein structure of aqueous phase in wheat dough
Effect of bacterial nanocellulose addition on the interface properties and protein structure of aqueous phase in wheat dough Open
View article: Position-sequence Enhanced Meta-Reinforcement Learning with Adaptive Fine- tuning for Few-Shot GNSS Positioning Correction
Position-sequence Enhanced Meta-Reinforcement Learning with Adaptive Fine- tuning for Few-Shot GNSS Positioning Correction Open
Artificial intelligence plays a crucial role in enhancing the accuracy of positioning in the global navigation satellite system (GNSS). Although existing reinforcement learning-based positioning correction methods can effectively reduce po…
View article: Heuristic-based vehicle arrangement for ro-ro ships
Heuristic-based vehicle arrangement for ro-ro ships Open
View article: Non-Line-of-Sight Multipath Classification Method for BDS Using Convolutional Sparse Autoencoder with LSTM
Non-Line-of-Sight Multipath Classification Method for BDS Using Convolutional Sparse Autoencoder with LSTM Open
Multipath signal recognition is crucial to the ability to provide high-precision absolute-position services by the BeiDou Navigation Satellite System (BDS). However, most existing approaches to this issue involve supervised machine learnin…
View article: An Efficient Convolutional Denoising Autoencoder-Based BDS NLOS Detection Method in Urban Forest Environments
An Efficient Convolutional Denoising Autoencoder-Based BDS NLOS Detection Method in Urban Forest Environments Open
The BeiDou Navigation Satellite System (BDS) provides real-time absolute location services to users around the world and plays a key role in the rapidly evolving field of autonomous driving. In complex urban environments, the positioning a…
View article: Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving
Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving Open
Deep reinforcement learning (DRL) has shown remarkable success in complex autonomous driving scenarios. However, DRL models inevitably bring high memory consumption and computation, which hinders their wide deployment in resource-limited a…
View article: Improving the Prediction of GNSS Satellite Visibility in Urban Canyons Based on a Graph Transformer
Improving the Prediction of GNSS Satellite Visibility in Urban Canyons Based on a Graph Transformer Open
Signals from global navigation satellite systems (GNSSs) in urban areas suffer from serious multipath errors caused by building blockages and reflections. The use of deep neural networks offers great potential for predicting and eliminatin…
View article: Improving GNSS Positioning Correction Using Deep Reinforcement Learning with an Adaptive Reward Augmentation Method
Improving GNSS Positioning Correction Using Deep Reinforcement Learning with an Adaptive Reward Augmentation Method Open
High-precision global navigation satellite system (GNSS) positioning for automatic driving in urban environments remains an unsolved problem because of the impact of multipath interference and non-line-of-sight reception. Recently, methods…
View article: Twitter as a Lens for Crime Analysis: A Comprehensive 4W Model for Identifying Crime Patterns and Insights
Twitter as a Lens for Crime Analysis: A Comprehensive 4W Model for Identifying Crime Patterns and Insights Open
The increased ubiquity of social media platforms in recent years has made them a viable data source for various purposes, including crime investigation. This research introduces a unique criminal analysis framework built on the 4W model (W…
View article: Using Medium-Resolution Remote Sensing Satellite Images to Evaluate Recent Changes and Future Development Trends of Mangrove Forests on Hainan Island, China
Using Medium-Resolution Remote Sensing Satellite Images to Evaluate Recent Changes and Future Development Trends of Mangrove Forests on Hainan Island, China Open
Mangroves are endemic forest communities in tropical and subtropical coastal zones. China’s Hainan Island is very rich in mangrove plant species. In recent years, due to climate change and human disturbance, the living environment of many …
View article: Spot Detection for Laser Sensors Based on Annular Convolution Filtering
Spot Detection for Laser Sensors Based on Annular Convolution Filtering Open
Spot detection has attracted continuous attention for laser sensors with applications in communication, measurement, etc. The existing methods often directly perform binarization processing on the original spot image. They suffer from the …
View article: A DCA‐based sparse coding for video summarization with MCP
A DCA‐based sparse coding for video summarization with MCP Open
Video summarization offers a summary version that conveys the primary information of a longer video. The main challenges of video summarization are related to keyframe extraction and saliency mapping. Thus, this work proposes a sparse codi…
View article: Dynamic Sparse Coding-Based Value Estimation Network for Deep Reinforcement Learning
Dynamic Sparse Coding-Based Value Estimation Network for Deep Reinforcement Learning Open
View article: Adaptive Fast Independent Component Analysis Methods for Mitigating Multipath Effects in GNSS Deformation Monitoring
Adaptive Fast Independent Component Analysis Methods for Mitigating Multipath Effects in GNSS Deformation Monitoring Open
Carrier-phase multipath is the main problem of GNSS deformation monitoring. Traditional methods usually adopt sidereal day filtering to mitigate the multipath. However, the necessity of presetting the session duration of the static baselin…
View article: Typhoon Resistance Analysis of Offshore Wind Turbines: A Review
Typhoon Resistance Analysis of Offshore Wind Turbines: A Review Open
A typhoon is a tropical cyclone in the western Pacific Ocean and the China seas. Typhoons are some of the most destructive natural disasters on Earth. In China, typhoons have had major impacts on the stability and structural integrity of o…
View article: Tunable three-dimensional nonreciprocal transmission in a layered nonlinear elastic wave metamaterial by initial stresses
Tunable three-dimensional nonreciprocal transmission in a layered nonlinear elastic wave metamaterial by initial stresses Open
In this work, the three-dimensional (3D) propagation behaviors in the nonlinear phononic crystal and elastic wave metamaterial with initial stresses are investigated. The analytical solutions of the fundamental wave and second harmonic wit…
View article: Block-Sparse Coding-Based Machine Learning Approach for Dependable Device-Free Localization in IoT Environment
Block-Sparse Coding-Based Machine Learning Approach for Dependable Device-Free Localization in IoT Environment Open
Device-free localization (DFL) locates targets without equipping with wireless devices or tag under the Internet-of-Things (IoT) architectures. As an emerging technology, DFL has spawned extensive applications in IoT environment, such as i…
View article: Nisin-loaded polydopamine/hydroxyapatite composites: Biomimetic synthesis, and in vitro bioactivity and antibacterial activity evaluations
Nisin-loaded polydopamine/hydroxyapatite composites: Biomimetic synthesis, and in vitro bioactivity and antibacterial activity evaluations Open
View article: Nonreciprocal transmission for the SH wave in a nonlinear elastic wave metamaterial with imperfect interfaces
Nonreciprocal transmission for the SH wave in a nonlinear elastic wave metamaterial with imperfect interfaces Open
During the past decades, phononic crystals and elastic wave metamaterials as the artificial periodic structures have received considerable attention. Due to their distinguishing properties, these structures can be used for the wave energy …
View article: Sparse Representation Based on the Analysis Model With Optimization on the Stiefel Manifold
Sparse Representation Based on the Analysis Model With Optimization on the Stiefel Manifold Open
Sparse representation with an analysis model becomes a challenging task because the optimization problem involves additional constraints on the analysis dictionary. We present the problem of learning the analysis dictionary through an opti…
View article: An $\ell_{1/2}$ -Norm Regularizer-Based Sparse Coding Framework for Gaze Prediction in First-Person Videos
An $\ell_{1/2}$ -Norm Regularizer-Based Sparse Coding Framework for Gaze Prediction in First-Person Videos Open
Predicting human gaze is important for efficiently processing and understanding numerous incoming visual information from first-person videos (FPVs). Even though people continuously gaze in noisy environments, most existing gaze prediction…
View article: An Accurate and Efficient Device-Free Localization Approach Based on Sparse Coding in Subspace
An Accurate and Efficient Device-Free Localization Approach Based on Sparse Coding in Subspace Open
In practical device-free localization (DFL) applications, for enlarging the monitoring area and improving localization accuracy, too many nodes need to be deployed, which results in a large volume of DFL data with high dimensions. This ari…
View article: Overcomplete Transform Learning With the <inline-formula> <tex-math notation="LaTeX">$log$ </tex-math> </inline-formula> Regularizer
Overcomplete Transform Learning With the Regularizer Open
Transform learning has been proposed as a new and effective formulation for analysis dictionary learning, where the ℓ0 norm or the ℓ1 norm are generally used as sparsity constraint. The sparse solutions can be obtaine…
View article: Salient Region Detection by Integrating Intrinsic and Extrinsic Cues without Prior Information
Salient Region Detection by Integrating Intrinsic and Extrinsic Cues without Prior Information Open
In recent years, independence on prior information and the efficient integration of multiple visual cues have become an important topic in salient region detection.A salient region detection framework that integrates intrinsic and extrinsi…
View article: A Low Power Bandgap Voltage Reference with Nonlinear Voltage Curvature Compensation
A Low Power Bandgap Voltage Reference with Nonlinear Voltage Curvature Compensation Open
The reference voltage source is the main part both in the analog and mixed-signal integrated circuits. A good reference voltage source can provide a stable voltage for the circuit, so that the system can work stable accurately. This paper …
View article: Combining ROI-base and Superpixel Segmentation for Pedestrian Detection
Combining ROI-base and Superpixel Segmentation for Pedestrian Detection Open
Pedestrian Detection is a hot topic in recent years, which is attracting a large number of scholars.The detection models are developing from simple models to complex models and the detection accuracy has been greatly improved.DPM (deformab…
View article: Nonnegative Dictionary-Learning Algorithm Based on L1 Norm with the Sparse Analysis Model
Nonnegative Dictionary-Learning Algorithm Based on L1 Norm with the Sparse Analysis Model Open
Sparse representation has been proven to be a powerful tool for analysis and processing of signals and images. Most of existing methods for sparse representation are based on the synthesis model. This paper presents a method for dictionary…