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Conference Aug 2026

A Lightweight Hybrid CNN–Gradient Boosting Framework for Real-Time Network Intrusion Detection

Network intrusion detection systems must distinguish malicious from benign traffic under realistic conditions where attack types seen at deployment time may not have appeared during training. This paper presents a lightweight hybrid framework combining a compact one-dimensional convolutional neural network (CNN), used...

S. Satla, M. N. Rao, Tejaswi Katari et al. · 0 citations
Conference Aug 2026

Carbon- and Cost-Aware Scheduling of Cloud AI Inference Workloads Across Geo-Distributed Regions

Running artificial-intelligence inference in the cloud carries a rising energy and carbon cost, and where a request is served turns out to matter. Both the price of electricity and the carbon intensity of the local power grid differ from one region to another and change through the day. Most carbon-aware methods reduce...

S. Satla, M. N. Rao, Tejaswi Katari et al. · 0 citations

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