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Review Open access Sep 2026

Accelerating CO2 uptake modeling in carbon-based adsorbents through machine learning

Climate change is driven by numerous factors but one of the primary drivers includes the rapid increase in atmospheric carbon dioxide (CO 2 ) concentration. This necessitates the need for the development of efficient carbon capture technologies. CO 2 adsorption through porous carbon-based materials has emerged...

Aravind Sreekanth, Sushmitha Acharya, Amogh Ananda et al. · 0 citations
#federated learning Open access Sep 2026

Federated learning and autoencoder-based hybrid framework for DDoS detection

Distributed Denial-of-Service (DDoS) attacks can overwhelm network resources and disrupt the availability of cloud services, enterprise systems, and critical infrastructure. Machine-learning-based intrusion detection can help identify malicious traffic from network-flow characteristics. However, conventional centrali...

G. Srujana, K. S. Harshita, Harshitha Shetty et al. · 0 citations

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