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Author

Lata Nautiyal

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Open access Aug 2026

Deep reinforcement learning-based adaptive traffic signal control in urban networks

Results demonstrate the usefulness of deep reinforcement learning in the creation of intelligent and adaptive traffic signal control services in the city and prove the usefulness of computational feasibility and robustness even when the size of the network grows.

Manisha Aeri, K. Purohit, Lata Nautiyal et al. · 0 citations
Conference Jul 2026

Utility-Based Task Placement for Sustainable Anomaly Detection in IoT Edge-Cloud Architectures

Resource-constrained IoT environments require security detection mechanisms that balance responsiveness, computational cost, and detection capability. This paper presents a utility-based decision framework for adaptive task placement of anomaly detection across local, edge, and cloud layers. Five operational metrics ar...

Ali A. Jaddoa, Hasanein Alharbi, Lata Nautiyal · 0 citations

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