Mobile Multimedia Communications

18th EAI International Conference, MobiMedia 2025, Lhasa, China, August 15–17, 2025, Revised Selected Papers

Häftad, Engelska, 2026

Del 670 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Beskrivning

This book constitutes the revised selected papers of the 18th EAI International Conference on Mobile Multimedia Communications, MobiMedia 2025, held in Lhasa, China, during August 15–17, 2025.The 26 full papers included in this book were carefully reviewed and selected from 70 submissions. They are organized in topical sections as follows: Algorithms, Architecture, Applications of 5G/6G; Flexible Architecture in AI-Enabled Software-Defined Networks; Wireless Body Area Network (WBAN); Computational Framework and Structure for Big Data. Localization, Positioning and Tracking Techniques; Heterogeneous Data Storage; Multimedia-Based Signal Processing; Mobile Crowdsensing; Real-Time Stream Data Mining; and AI for Communication.

Produktinformation

Utgivningsdatum:2026-04-01
Mått:155 x 235 x 22 mm
Vikt:593 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:376
Förlag:Springer Nature Switzerland AG
ISBN:9783032168221

Utforska kategorier

Hårdvara inom Data och IT
Tillämpad datateknik inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

.- Algorithms, architecture, applications of 5G/6G..- Digital Cancellation of Passive Intermodulation Interference for Fast Time-Varying Channels..- Localized Statistical Channel Modeling by Exploiting Joint and Block Sparsity..- Vision-Assisted Beam Prediction with 3D Convolutional Network and Efficient Channel Attention Mechanism..- Time-Varying Channel Estimation Using Tobit-Extended Kalman Filter: Handling Censored Data Challenges..- Flexible Architecture in AI-enabled Software-Defined Networks..- Collaborative Decision-Making Methods for Non-Stationary Communication Environments..- Wireless Body Area Network (WBAN)..- Non-Intrusive In-Bed Patient Monitoring via Piezoelectric Signal Analysis and Temporal Deep Learning..- Computational Framework and Structure for Big Data..- A Privacy-Preserving Federated Learning Framework with Adaptive Client Clustering for Healthcare AI..- DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs..- Energy-Efficient Equality Test with Public Key Encryption and Flexible Authorisation for Sustainable Cloud Computing..- Localization, positioning and tracking techniques..- Enhanced DV-Hop Localization Algorithm for WSNs with Topological Holes..- MixFP:A Transformer-Based Method for UAV Cross-View Geolocation..- Maritime target recognition based on tensor alignment domain adaptation..- Heterogeneous data storage..- MDM: Advancing Multi-Domain Distribution Matching for Automatic Modulation Recognition Dataset Synthesis..- Multimedia-based signal processing.- Spatio-Temporal Aware Cross-Modal Retrieval..- DeepSeekVision: Dual-stream Compressed Architecture for Marine Object Identification with Visual Feature Distillation..- Domain Adaptation Method for Lying Posture Recognition Under Category Misalignment..- Mobile crowdsensing..- Adaptive Signal Modulation Classification during Testing..- Real-time stream data mining..- A Strong Robust Bearing Fault Diagnosis Method Based on Improved Transformer..- AI for Communication..- A coordinated mitigation scheme for UAVs under co-channel interferences..- Q-LOQ: Quantile-optimized Loss for Low-bit Quantization..- MAAB Multi-scale Dynamic Adaptive Attention Mechanisms for Cross-domain Specific Emitter Identification..- Hierarchical Attention-Enhanced Transformer for Specific Emitter Identification in Complex Electromagnetic Environments..- Research on Automatic Modulation Recognition Method Based on Capsule Network Lightweighting..- Model Mutation-Based Adversarial Example Detection Method for Automatic Modulation Classification..- Joint Optimization Scheduling of UAV Spectrum Resources Based on an Improved Multi-Objective Optimization Algorithm..- Multi-UAV Spectrum Scheduling Algorithm Under Incomplete Conditions Based on NSGA-II.