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Data Collection
arXiv (Cornell University)
Advanced Data Collection Techniques in Cloud Security: A Multi-Modal Deep Learning Autoencoder Approach
2025
Cloud security is an important concern. To identify and stop cyber threats, efficient data collection methods are necessary. This research presents an innovative method to cloud security by integrating numerous data sources and modalities with multi-modal dee…
Article

Data Collection

Gathering information for analysis

Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, and business. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same. The goal for all data collection is to capture evidence that allows data analysis to lead to the formulation of credible answers to the questions that have been posed.

Exploring foci of:
arXiv (Cornell University)
Advanced Data Collection Techniques in Cloud Security: A Multi-Modal Deep Learning Autoencoder Approach
2025
Cloud security is an important concern. To identify and stop cyber threats, efficient data collection methods are necessary. This research presents an innovative method to cloud security by integrating numerous data sources and modalities with multi-modal deep learning autoencoders. The Multi-Modal Deep Learning Ensemble Architecture (MMDLEA), a unique approach for anomaly detection and classification in multi-modal data, is proposed in this study. The proposed design integrates the best features of six deep learn…
Click Data Collection Vs:
Deep Learning
Autoencoder
Artificial Intelligence
Computer Science
Machine Learning
Anomaly Detection
Data Mining
Performance Indicator
Architecture
Click Data Collection Vs:
Transformer
Feature Learning