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Author

Nilakshee Rajule

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Conference Open access 2025

AI-Driven Beamforming for MIMO Systems: A Deep Reinforcement Learning Approach for Energy-Efficient and Low-Latency Wireless Networks

A Deep Deterministic Policy Gradient-based beamforming framework that formulates beamforming optimization as a continuous-action deep reinforcement learning problem and results validate the effectiveness of the proposed framework for energy-efficient, low-latency beamforming in next-generation massive MIMO wireless net...

Nilakshee Rajule, Mithra Venkatesan, Harshada Magar et al. · 0 citations
Open access Jul 2026

A Hybrid Machine Learning and Optimization Framework for Predictive Soil Health Maintenance and Fertilizer Recommendation

The proposed framework offers a robust, scalable, and interpretable solution for proactive soil health management and efficient fertilizer utilization, contributing toward sustainable agricultural practices as well as reliable and actionable decision support for precision agriculture.

Ganeshwari Patil, D. Bhalke, Nilakshee Rajule et al. · 0 citations

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