Full-text page based on JATS XML
If you would like to make your journal article pdf to a full-text page based on JATS XML, please contact
support@manuscriptlink.com
.
Here are the sample pages we made.
Journal of Information Processing Systems
Research on Maximum Power Point Tracking Algorithms for Photovoltaic Cells
Scalable Representation of Customer Purchase Preferences through Co-Purchase History
Anomaly Detection of Power Load Based on Robust PCA and Improved K-Means Clustering Algorithm
A Quantified Analysis of Urban Sprawl Based on High-Resolution Satellite Remote Sensing
Research on Cooperative Early Warning Coastal Air Environment of Liaoning Based on Multi-Feature and Multi-Model Fusion
The Application of DCRN Algorithm Based on Attention Mechanism for Classification in Media Images
Toward Automatic Parallelization: Detecting Parallelizable Loops Using Large Language Modeling
A Improved A* Algorithm for the Path Planning Problem of Urban Taxi-Carpooling
A Novel Approach to Manage Sewage Treatment Plants Based on Process Mining Technology
Water Quality Prediction Model Based on Tucker Decomposition and GRU-Attention Mechanism
Journal of Communications and Networks
Dedicated Communication for Sensing: A New Use Case for Private 5G and Open RAN for mMTC
An Energy-Density-based Trajectory Planning Method for Wireless Sensor Networks with Mobile Collectors
Iterative IA Precoding and RIS Beamforming based on Rank-Reduced MIMO Interference Channel
Joint Offloading and Resource Allocation Based on Lyapunov Algorithm in Delay-Sensitive SAGIN
Feature Extraction for Channel Reciprocity Based Secret Key Generation Methods
An Improved SCMA Codebook Design Based on Uniquely Decomposable Constellation Groups
Hierarchical Learning for Interference Management in Multi-User LEO Satellite Networks
Budget-Feasible Truthful Mechanism for Resource Allocation and Pricing in Vehicle Computing
Anomaly Detection for Industrial Internet of Things Devices Based on Self-Adaptive Blockchain Sharding and Federated Learning
RIS-Aided Transmissions in Energy-Harvesting Cognitive Radio Networks: A DRL Approach