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Mobile Networks and Applications OnlineFirst articles

Game Model Based Intrusion Detection Method for Probability Distribution Attacks

  • Research

In this paper, a game theoretical analysis method is presented for a kind of probability distribution attacks. By considering Cumulative Sum (CUSUM) as fusion intrusion detector, a non-cooperative game model is established to describe the …

Successful Transmission Probability Analysis of the Satellite-Maritime Uplink: A Stochastic Geometry Based Approach

  • Research

Harmonized satellite-maritime networks hold the promise of seamlessly filling the maritime coverage-holes, hence they have attracted substantial research interests. In this broad context, we study the scenario of remote geographic locations, where …

Service Enhancement and System Maintenance for MEIS

With the rise of mobile and online education as a new education model, mobile education intelligent system (MEIS) has become an important part of education informatization [ 1 ]. Initially, MEIS relied on basic web technology, users slowly access …

Intelligent Assessment Method of Communication Interference Speech Quality Based on End-to-end Network

  • Research

Speech quality can reflect the interference in the environment during speech communications. This paper focuses on evaluating speech quality in communication interference environments, and introduces an innovative end-to-end network-based …

Fake News Detection in Large-Scale Social Network with Generalized Bayesian Classification

  • Research

Fake news in large-scale social networks is relatively rare, resulting in poor detection performance of deep learning method without sufficient samples. Meantime, false information comes from various sources and forms in large-scale social …

Apriori Algorithm-Based Learning Behavior Mining for Mobile Education Platforms

  • Research

In order to promote learners' learning effectiveness and improve the accuracy of learning behavior mining, this paper conducts research on the Apriori algorithm based learning behavior mining on mobile education platforms. Firstly, web crawler …

Inductive Subgraph Embedding for Link Prediction

  • Open Access
  • Research

Link prediction, which aims to infer missing edges or predict future edges based on currently observed graph connections, has emerged as a powerful technique for diverse applications such as recommendation, relation completion, etc. While there is …

Intrusion Detection with Federated Learning and Conditional Generative Adversarial Network in Satellite-Terrestrial Integrated Networks

  • Research

Network intrusion detection is a challenging network security research topic, especially when data privacy has become an increasing concern in satellite-terrestrial integrated networks. Federated learning was introduced as an effective distributed …

Efficient Information Sharing Methods for Online Education Platforms

  • Research

A large amount of redundant teaching resource interferes with the information sharing process in the online education platform, leading to the problems of information silos and data sparsity. Regarding this, we propose an improved method for …

Optimizing the Impact of Musical Education on Mental Health of Students using Q-Learning

  • Research

Mental health of students is growing concern in today’s world and require immediate attention and effective interventions in form of innovative techniques and models. Music education can be used as a promising solution to mental health problems …

Hierarchical Storage for Massive Social Network Data Based on Improved Decision Tree

  • Research

In order to reasonably store and optimize the read/write (w/r) efficiency of massive social network data, a hierarchical storage method for massive social network data based on improved decision tree is proposed. Improved decision tree is used to …

Remote Dance Action Correction Based on EM and Min-min Algorithms

  • Research

In the process of community learning for remote dance teaching, to ensure that students online master the correct dance actions and skills, and to improve the quality of teaching and students' learning outcomes, this paper proposes an action …

A Collaborative Recommendation Algorithm for Course Resources in Multimedia Distance Education Based on Fuzzy Association Rules

  • Research

Currently, the homogenization of vast multimedia distance education course resources is becoming increasingly severe. In the process of learning habit characteristics, the association rules become more diverse, showing typical fuzzy attributes …

Multi-Objective Recommendation for Massive Remote Teaching Resources

  • Research

In remote teaching, massive resource data types have heterogeneous diversity attributes. Currently, recommendation algorithms only consider the optimal solution in the local domain under an attention mechanism to ensure efficiency, without …

An Intelligent Proofreading for Remote Skiing Actions Based on Variable Shape Basis

  • Open Access
  • Research

The current proofreading algorithms for action regulation mainly recover the 3D structure and action information of non-rigid objects from image sequences by factorization. Most of algorithms assume that the camera model is an affine model. This …

TMPSformer: An Efficient Hybrid Transformer-MLP Network for Polyp Segmentation

  • Research

Colorectal cancer poses a global health risk, often heralded by colorectal polyps. Colonoscopy is the primary modality for polyp detection, with precise, real-time segmentation being key to effective diagnosis and surgical planning. Existing …

An IoT-Based Injury Prediction and Sports Rehabilitation for Martial Art Students in Colleges Using RNN Model

  • Research

Sports rehabilitation focuses on the restoration of physical function and performance of martial arts students and athletes by assisting them in the recovery process during injuries. Each athlete’s injury is unique and requires personalized …

Assessing Psychological Health and Emotional Expression of Musical Education Using Q-Learning

  • Research

Musical education has a positive impact on psychological health. It enhances emotional expression and contributes to constructive transformation of mental health. This study explores the use of a machine learning technique known as Q-learning to …

IoT-Enabled Prediction Model for Health Monitoring of College Students in Sports Using Big Data Analytics and Convolutional Neural Network

  • Research

In recent years, the development of wearable devices and health applications has influenced the technical development of SHM in sports-related activities. These technologies can be invoked to improve the health management of college students who …