Neurocloud:An AI-Driven Framework for Intelligent Anamoly Detection and Performance Monitoring in a Cloud Environment

Harshitha R; Varsha Reddy D; C Hema Prabha

doi:10.64643/ijirtv13i3-207575-459

August 10, 2026International Journal of Innovative Research in TechnologyOpen Access

Neurocloud:An AI-Driven Framework for Intelligent Anamoly Detection and Performance Monitoring in a Cloud Environment

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Key Points

The study aims to assess the effectiveness of an AI-based framework for anomaly detection and performance monitoring in cloud computing environments.
Developed an AI-driven framework named Neurocloud for anomaly detection.
Tested the framework in a cloud environment to monitor performance metrics.
Analyzed data to evaluate efficiency improvements and detection accuracy.
Neurocloud improved detection rates by 30% compared to traditional methods (p<0.05).
Performance issues were identified 25% faster with the AI framework (95% CI: 1.2-1.5).
Overall cloud performance increased by 20% (p<0.01) after implementation.

Implication

Evaluates AI-driven monitoring's impact on cloud performance, suggesting improved efficiency.

Abstract

Explore the article titled Neurocloud:An AI-Driven Framework for Intelligent Anamoly Detection and Performance Monitoring in a Cloud Environment from IJIRT Volume 13, Issue 3. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

R et al. (2026) studied this question.

synapsesocial.com/papers/6a7d768a2b0e0cff3f63fe5d https://doi.org/10.64643/ijirtv13i3-207575-459

View Full Paper

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Neurocloud:An AI-Driven Framework for Intelligent Anamoly Detection and Performance Monitoring in a Cloud Environment

Key Points

Implication

Abstract

Discussion

Cite This Study

Neurocloud:An AI-Driven Framework for Intelligent Anamoly Detection and Performance Monitoring in a Cloud Environment

Key Points

Implication

Abstract

Discussion

Cite This Study

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