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
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Here are the sample pages we made.
Journal of Information Processing Systems
Constructing S-Box Using Fractional-Order Nonlinear Coupled Map and Elementary Cellular Automata
Optimizing Energy Storage Systems Using Deep Reinforcement Learning in Smart Grids
Data-Driven Airflow Prediction for Wastewater Treatment Plant Aeration System
Weakly Supervised Aspect Category Detection Method Based on Label Hierarchical Filtering Mechanism
Research on the Tracking Registration Method of Markerless Augmented Reality for Product Assembly
Implementation of Extreme Programming Method in Developing Website of Agribusiness Harvest Transportation Order Data Management
A Multiple Receptive Field Anti-occlusion Self-supervision Network with CBAM for Light Field Angular Super-resolution
Predicting Chinese Stocks Using XGBoost-LSTM-Attention Model
Multi-Feature Fusion for E-Learning Based Student Concentration Analysis
Spatial and Temporal Evolution of Wetlands in the Yellow River Delta Based on Optical Flow Algorithm
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