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Related Concept Videos

Long-term Potentiation01:35

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Long-term Potentiation01:25

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when presynaptic neurons...
Optimal Foraging00:48

Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
Buffer Effectiveness02:19

Buffer Effectiveness

Buffer solutions do not have an unlimited capacity to keep the pH relatively constant . Instead, the ability of a buffer solution to resist changes in pH relies on the presence of appreciable amounts of its conjugate weak acid-base pair. When enough strong acid or base is added to substantially lower the concentration of either member of the buffer pair, the buffering action within the solution is compromised.
The buffer capacity is the amount of acid or base that can be added to a given volume...
Preventive Healthcare Services01:30

Preventive Healthcare Services

Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
Prediction Intervals01:03

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
The...

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Related Experiment Videos

Machine learning empowered proactive content caching in O-RAN.

Ayaz Ahmad1, Fawad Ahmad2, Salman Atif2

  • 1Department of Electrical Engineering, College of Engineering, King Faisal University, Al-Ahsa, 31982, Saudi Arabia. ayahmad@kfu.edu.sa.

Scientific Reports
|June 15, 2026
PubMed
Summary
This summary is machine-generated.

Intelligent Content-Aware Proactive Caching (ICAPC) enhances cellular networks by intelligently caching videos in Open Radio Access Networks (O-RAN). This method improves cache hit ratios and reduces latency and backhaul load.

Related Experiment Videos

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Telecommunications

Background:

  • Proactive caching in cellular networks reduces backhaul load and content delay.
  • Open Radio Access Networks (O-RAN) present new opportunities for content caching due to their distributed architecture.
  • Integrating proactive caching with O-RAN is complex due to content placement dependencies.

Purpose of the Study:

  • To propose an Intelligent Content-Aware Proactive Caching (ICAPC) mechanism for published and unpublished videos within O-RAN environments.
  • To optimize content placement strategies in O-RAN by considering video features and popularity.
  • To enhance network performance by improving cache hit ratios and reducing latency and backhaul load.

Main Methods:

  • Video features extracted and compressed using 3D-CNN to generate feature vectors.
  • K-means clustering groups videos into classes based on similar features.
  • Support Vector Machine (SVM) predicts video popularity using feature representations for caching decisions at Radio Unit (RU), Distributed Unit (DU), and Centralized Unit (CU).

Main Results:

  • The ICAPC mechanism achieves higher cache hit ratios compared to conventional methods.
  • Significant reduction in content latency observed.
  • Demonstrated decrease in backhaul load within the O-RAN architecture.

Conclusions:

  • ICAPC effectively leverages O-RAN architecture for intelligent video caching.
  • The proposed method offers a significant performance improvement for proactive caching in cellular networks.
  • ICAPC provides a viable solution for managing content delivery in evolving network infrastructures.