Junhuai Li
YOU?
Author Swipe
View article: Edge computing resource scheduling method based on container elastic scaling
Edge computing resource scheduling method based on container elastic scaling Open
Edge computing is a crucial technology to solve the problem of computing resources and bandwidth required for extensive edge data processing, as well as for meeting the real-time demands of applications. Container virtualization technology…
View article: MRDPDA: A multi‐Laplacian regularized deepFM model for predicting piRNA‐disease associations
MRDPDA: A multi‐Laplacian regularized deepFM model for predicting piRNA‐disease associations Open
PIWI‐interacting RNAs (piRNAs) are a typical class of small non‐coding RNAs, which are essential for gene regulation, genome stability and so on. Accumulating studies have revealed that piRNAs have significant potential as biomarkers and t…
View article: PLEKv2: predicting lncRNAs and mRNAs based on intrinsic sequence features and the coding-net model
PLEKv2: predicting lncRNAs and mRNAs based on intrinsic sequence features and the coding-net model Open
View article: Lower Limb Motion Recognition with Improved SVM Based on Surface Electromyography
Lower Limb Motion Recognition with Improved SVM Based on Surface Electromyography Open
During robot-assisted rehabilitation, failure to recognize lower limb movement may efficiently limit the development of exoskeleton robots, especially for individuals with knee pathology. A major challenge encountered with surface electrom…
View article: MFCA-Net: a deep learning method for semantic segmentation of remote sensing images
MFCA-Net: a deep learning method for semantic segmentation of remote sensing images Open
View article: Precise reconstruction of the entire mouse kidney at cellular resolution
Precise reconstruction of the entire mouse kidney at cellular resolution Open
The kidney is an important organ for excreting metabolic waste and maintaining the stability of the body’s internal environment. The renal function involves multiple complex and fine structures in the whole kidney, and any change in these …
View article: A Multimodal Sentiment Analysis Approach Based on Multi-View Modal Alignment Fusion
A Multimodal Sentiment Analysis Approach Based on Multi-View Modal Alignment Fusion Open
View article: Container Scaling Strategy Based on Reinforcement Learning
Container Scaling Strategy Based on Reinforcement Learning Open
Elasticity capability is one of the most important capabilities of cloud computing, which combines large-scale resource allocation capability to quickly achieve minute-level resource demand provisioning to meet the elasticity requirements …
View article: Detecting the Background-Similar Objects in Complex Transportation Scenes
Detecting the Background-Similar Objects in Complex Transportation Scenes Open
With the development of intelligent transportation systems, most human objects can be accurately detected in normal road scenes. However, the detection accuracy usually decreases sharply when the pedestrians are merged into the background …
View article: Static voltage stability influence evaluation method of distribution network including electric vehicles based on LHS-PPF
Static voltage stability influence evaluation method of distribution network including electric vehicles based on LHS-PPF Open
The temporal and spatial distribution of electric vehicle charging load (EVCL) is closely related with the drivers’ trip behavior, which has a highly uncertainty. The access of EVCL will increase the risk of safe and stable operation of th…
View article: Cerebrovascular segmentation from mesoscopic optical images using Swin Transformer
Cerebrovascular segmentation from mesoscopic optical images using Swin Transformer Open
Vascular segmentation is a crucial task in biomedical image processing, which is significant for analyzing and modeling vascular networks under physiological and pathological states. With advances in fluorescent labeling and mesoscopic opt…
View article: A high-performance deep-learning-based pipeline for whole-brain vasculature segmentation at the capillary resolution
A high-performance deep-learning-based pipeline for whole-brain vasculature segmentation at the capillary resolution Open
Motivation Reconstructing and analyzing all blood vessels throughout the brain is significant for understanding brain function, revealing the mechanisms of brain disease, and mapping the whole-brain vascular atlas. Vessel segmentation is a…
View article: Single image reflection removal through multi‐scale gradient refinement
Single image reflection removal through multi‐scale gradient refinement Open
Removing the undesired reflection layer from images taken through glass windows is an important yet challenging task. Many existing CNN‐based methods try to utilize the gradient as an important clue to guide the training and achieve better…
View article: Multi-perspective label based deep learning framework for cerebral vasculature segmentation in whole-brain fluorescence images
Multi-perspective label based deep learning framework for cerebral vasculature segmentation in whole-brain fluorescence images Open
The popularity of fluorescent labelling and mesoscopic optical imaging techniques enable the acquisition of whole mammalian brain vasculature images at capillary resolution. Segmentation of the cerebrovascular network is essential for anal…
View article: Data file 2
Data file 2 Open
The detailed numerical data for the Table 1.
View article: IMOCS Based EV Charging Station Planning Optimization Considering Stakeholders’ Interests Balance
IMOCS Based EV Charging Station Planning Optimization Considering Stakeholders’ Interests Balance Open
To balance the objective of all stakeholders’ interests in the electric vehicle (EV) charging station planning, a multi-objective optimization method based on an improved Cuckoo search algorithm is proposed in this paper. Firstly, the temp…
View article: Data file 1
Data file 1 Open
The detailed numerical data for the Table 1.
View article: Data file 3
Data file 3 Open
The detailed numerical data for the Table 3.
View article: Data file 4
Data file 4 Open
The detailed numerical data for the Table 4.
View article: Nodal charging demand forecast of EVs considering drivers’ psychological bearing ability based on NMC‐MCS
Nodal charging demand forecast of EVs considering drivers’ psychological bearing ability based on NMC‐MCS Open
Widespread adoption of electric vehicles (EVs) would significantly increase the electrical load demand in power distribution networks. Most previous studies investigated EV charging demand based on drivers’ trip habits, but the impact of p…
View article: webTDat: A Web-Based, Real-Time, 3D Visualization Framework for Mesoscopic Whole-Brain Images
webTDat: A Web-Based, Real-Time, 3D Visualization Framework for Mesoscopic Whole-Brain Images Open
The popularity of mesoscopic whole-brain imaging techniques has increased dramatically, but these techniques generate teravoxel-sized volumetric image data. Visualizing or interacting with these massive data is both necessary and essential…
View article: Non-Linear Chaotic Features-Based Human Activity Recognition
Non-Linear Chaotic Features-Based Human Activity Recognition Open
Human activity recognition (HAR) has vital applications in human–computer interaction, somatosensory games, and motion monitoring, etc. On the basis of the human motion accelerate sensor data, through a nonlinear analysis of the human moti…
View article: ARIMA-Based Aging Prediction Method for Cloud Server System
ARIMA-Based Aging Prediction Method for Cloud Server System Open
Long-running software system tends to show performance degradation and sudden failures, due to error accumulation or resource exhaustion over time. This phenomenon is usually called software aging. Software aging is an important factor tha…
View article: The Method of Dance Movement Segmentation and Labanotation Generation Based on Rhythm
The Method of Dance Movement Segmentation and Labanotation Generation Based on Rhythm Open
Labanotation is a widely used dance recording system, which plays an important role in inheriting and protecting folk dances. However, manual drawing of dance notation is time-consuming and labor-intensive. Therefore, research on the autom…
View article: A Cyclic Consistency Motion Style Transfer Method Combined with Kinematic Constraints
A Cyclic Consistency Motion Style Transfer Method Combined with Kinematic Constraints Open
Motion capture technology plays an important role in the production field of film and television, animation, etc. In order to reduce the cost of data acquisition and improve the reuse rate of motion capture data and the effect of movement …
View article: Joint V2V-Assisted Clustering, Caching, and Multicast Beamforming in Vehicular Edge Networks
Joint V2V-Assisted Clustering, Caching, and Multicast Beamforming in Vehicular Edge Networks Open
As an emerging type of Internet of Things (IoT), Internet of Vehicles (IoV) denotes the vehicle network capable of supporting diverse types of intelligent services and has attracted great attention in the 5G era. In this study, we consider…
View article: Wearable Sensor-Based Human Activity Recognition Using Hybrid Deep Learning Techniques
Wearable Sensor-Based Human Activity Recognition Using Hybrid Deep Learning Techniques Open
Human activity recognition (HAR) can be exploited to great benefits in many applications, including elder care, health care, rehabilitation, entertainment, and monitoring. Many existing techniques, such as deep learning, have been develope…
View article: Electric Vehicle Charging Warning and Path Planning Method Based on Spark
Electric Vehicle Charging Warning and Path Planning Method Based on Spark Open
Electric vehicles (EVs) are increasing popular as clean transportation. However electric vehicle (EV) users often encounter a shortage of electricity in the driving process. Especially when vehicle charging path planning system request rea…
View article: WebIDE Cloud Server Resource Allocation With Task Pre-Scheduling in IoT Application Development
WebIDE Cloud Server Resource Allocation With Task Pre-Scheduling in IoT Application Development Open
WebIDE is leveraged for IoT application development, which could adapt to the rapid growth of IoT applications and meanwhile facilitate the rapid development. Resource allocation is of vital significance in the WebIDE cloud service system.…
View article: Dance Emotion Recognition Based on Laban Motion Analysis Using Convolutional Neural Network and Long Short-Term Memory
Dance Emotion Recognition Based on Laban Motion Analysis Using Convolutional Neural Network and Long Short-Term Memory Open
Dance emotion recognition technology is of great significance for the digitalization, virtual performance, inheritance and protection of folk dance. Based on the mechanism that emotion expression in dance performance can be fully expressed…