Cover Image

Personalized QoE Prediction: A Demographic-Augmented Machine Learning Framework for 5G Video Streaming Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ahmed, Syeda Zunaira, Beg, Hejab Tahira, Khalid, Maryam
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Multimedia Image and Video Processing I.2.6; I.5.1; C.2.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Video QoE Metrics from Encrypted Traffic: Application-agnostic Methodology
by: Berger, Tamir, et al.
Published: (2025)

BALANCE: Bitrate-Adaptive Limit-Aware Netcast Content Enhancement Utilizing QUBO and Quantum Annealing
by: Rajpurohit, Animesh, et al.
Published: (2025)

Listen to the Unexpected: Self-Supervised Surprise Detection for Efficient Viewport Prediction
by: Khah, Arman Nik, et al.
Published: (2026)

Expert Insight-Enhanced Follow-up Chest X-Ray Summary Generation
by: Wang, Zhichuan, et al.
Published: (2024)

Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data
by: Geglio, Anthony, et al.
Published: (2022)

Cryptogenic stroke and migraine: using probabilistic independence and machine learning to uncover latent sources of disease from the electronic health record
by: Betts, Joshua W., et al.
Published: (2025)

Inductive transfer learning from regression to classification in ECG analysis
by: Jayasundara, Ridma, et al.
Published: (2025)

When Fairness Metrics Disagree: Evaluating the Reliability of Demographic Fairness Assessment in Machine Learning
by: Alsayed, Khalid Adnan
Published: (2026)

Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
by: Hung, Wei, et al.
Published: (2025)

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark
by: Katakam, Raj Kiran Gupta
Published: (2026)

Motion Attribution for Video Generation
by: Wu, Xindi, et al.
Published: (2026)

Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education
by: Hooshyar, Danial, et al.
Published: (2023)

Combining Euclidean Alignment and Data Augmentation for BCI decoding
by: Rodrigues, Gustavo H., et al.
Published: (2024)

Generative AI for Video Translation: A Scalable Architecture for Multilingual Video Conferencing
by: Oskooei, Amirkia Rafiei, et al.
Published: (2025)

Deep Policy Iteration with Integer Programming for Inventory Management
by: Harsha, Pavithra, et al.
Published: (2021)

Re:Draw -- Context Aware Translation as a Controllable Method for Artistic Production
by: Cardoso, Joao Liborio, et al.
Published: (2024)

Improving Industrial Injection Molding Processes with Explainable AI for Quality Classification
by: Rottenwalter, Georg, et al.
Published: (2025)

Listwise Direct Preference Optimization with Multi-Dimensional Preference Mixing
by: Sun, Yuhui, et al.
Published: (2025)

Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
by: Priezzhev, I. I., et al.
Published: (2025)

Advancements in synthetic data extraction for industrial injection molding
by: Rottenwalter, Georg, et al.
Published: (2025)

Cost-Aware Model Selection for Text Classification: Multi-Objective Trade-offs Between Fine-Tuned Encoders and LLM Prompting in Production
by: Gonzalez, Alberto Andres Valdes
Published: (2026)

Computational Economics in Large Language Models: Exploring Model Behavior and Incentive Design under Resource Constraints
by: Reddy, Sandeep, et al.
Published: (2025)

Predicting Future Actions of Reinforcement Learning Agents
by: Chung, Stephen, et al.
Published: (2024)

LLM Performance Predictors: Learning When to Escalate in Hybrid Human-AI Moderation Systems
by: Bachar, Or, et al.
Published: (2026)

The Spotlight Resonance Method: Resolving the Alignment of Embedded Activations
by: Bird, George
Published: (2025)

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies
by: Lachapelle, Sébastien, et al.
Published: (2024)

Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
by: Dutta, Utsav, et al.
Published: (2026)

Mamba base PKD for efficient knowledge compression
by: Medina, José, et al.
Published: (2025)

Subspace Geometry Governs Catastrophic Forgetting in Low-Rank Adaptation
by: Steele, Brady
Published: (2026)

ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space
by: Yong, Shim Soon
Published: (2025)

Feature emergence via margin maximization: case studies in algebraic tasks
by: Morwani, Depen, et al.
Published: (2023)

Remaining Useful Life Estimation for Turbofan Engines: A Comparative Study of Classical, CNN, and LSTM Approaches
by: Goel, Astitva, et al.
Published: (2026)

Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
by: Larsen, Olav Finne Praesteng, et al.
Published: (2025)

SATORIS-N: Spectral Analysis based Traffic Observation Recovery via Informed Subspaces and Nuclear-norm minimization
by: Mohanty, Sampad, et al.
Published: (2026)

Contrastive Representation Modeling for Anomaly Detection
by: Lunardi, Willian T., et al.
Published: (2025)

Improving Consistency in Large Language Models through Chain of Guidance
by: Raj, Harsh, et al.
Published: (2025)

AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
by: Belucci, Bruno, et al.
Published: (2025)

Entropy Aware Message Passing in Graph Neural Networks
by: Nazari, Philipp, et al.
Published: (2024)

Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension
by: Herde, Marek, et al.
Published: (2024)

Structured Contrastive Learning for Interpretable Latent Representations
by: Shen, Zhengyang, et al.
Published: (2025)