Enhancing Cloud-Based Video Streaming Efficiency using Neural Networks

Author:

Darwich Mahmoud1,Khalil Kasem2,Ismail Yasser3,Bayoumi Magdy4

Affiliation:

1. University of Mount Union,Department of Mathematics and Computer Science,Alliance,OH,44601

2. University of Mississippi,Department of Electrical and Computer Engineering,University,MS,38677

3. Southern University and A&M College,Electrical Engineering Department,Baton Rouge,LA,70807

4. University of Louisiana at Lafayette,Department of Electrical and Computer Engineering,LA,70504

Publisher

IEEE

Reference24 articles.

1. Cost-Efficient Storage for On-Demand Video Streaming on Cloud

2. Enhanced Bi-Prediction With Convolutional Neural Network for High-Efficiency Video Coding

3. A Reversible-Logic Based Architecture for Long Short-Term Memory (LSTM) Network

4. Deep neural network-based enhancement for image and video streaming systems: A survey and future directions;lee;ACM Computing Surveys (CSUR),2021

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2. Utilizing Swarm Intelligence for Optimized Video Data Distribution in Edge Networks;2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI);2024-04-13

3. Smart Streaming: Deep Learning Applications in Video Streaming Optimization;SoutheastCon 2024;2024-03-15

4. Optimizing QoE in IoT-Based Video Streaming through Deep Learning Algorithms;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19

5. Deep Learning Approach for Cost and Storage Optimization of Video Streaming in Cloud Environments;2023 IEEE 8th International Conference on Smart Cloud (SmartCloud);2023-09-16

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