The recent growth in the privacy-sensitive artificial intelligence of distributed cloud-edge systems has accelerated the necessity of the implementation of efficient and thermally feasible encrypted inference engines. Fully Homomorphic Encryption (FHE) makes it possible to perform computation on encrypted data, and its...
Yagnasri Ashwini, S. Shailaja, K. V. N. Valli et al.· 2026 International Conferenc...· 0 citations
Internet of Things (IoT) applications and the increasing demand for cloud-based services have created major challenges in task scheduling for energy efficiency and carbon awareness in multi-cloud environments. This study proposes an Energy and Carbon Emission Aware Task Scheduling framework for IoT applications based o...
Suryateja Kothuru, G. Sujatha, C. Veena et al.· 2026 International Conferenc...· 0 citations
Agricultural productivity and food security are heavily impacted by plant diseases, and thus there is a high demand for accurate and automated plant disease detection that can be achieved by applying deep learning techniques. This research proposes a Multi-Model Ensemble Method Based on Deep Learning for multi-plant di...
This paper proposes an Intelligent Link Failure Prediction and QoS-Aware Routing framework for Mobile Ad Hoc Networks (MANETs) using the Harris Hawk Optimization (HHO) algorithm to achieve reliable and efficient data transmission under highly dynamic network conditions. The proposed model integrates proactive link fail...
K. Helini, Malleswari Lakkapogu, Suryateja Kothuru et al.· 2026 7th International Confe...· 0 citations
The rapid growth of Internet of Things (IoT) applications has introduced significant challenges in efficient task scheduling within distributed cloud environments, particularly in meeting Quality of Service (QoS) requirements while minimizing operational costs and SLA violations. To address this issue, this paper propo...
Suryateja Kothuru, Sudipta Priyadarshini, Sai Mounika Chintalapudi et al.· International Conference Com...· 0 citations
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