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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

A. Madankar

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2 papers indexed here

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Open access Aug 2026

A Hybrid Stacked Learning Framework for Accurate Path Loss, LOS Probability, and Coverage Prediction in 28 GHz 5G mmWave Networks

Purpose: The aim of the research is to design a consistent and dynamic mechanism for estimating key performance indicators of millimetre wave wireless communication systems such as path loss, probability of line-of-sight (LOS) channels, maximum coverage area, and spectral efficiency.  In 28 GHz mmWave networks with res...

A. Madankar, A. Khobragade · 0 citations
Open access Jul 2026

Interpreting deep learning models for explainable animal detection using Grad-Cam with RetinaNet, SSD and YOLOv8

In rural and forest-bordering areas, human-wildlife conflict has escalated, resulting in substantial crop damage, property loss, and human mortality. Conventional mitigating solutions such as fencing, manual surveillance, and local alarms, have limited coverage, time taking and high operating costs. Automated real-time...

M. Patil, A. Madankar, Roshan Umate · 0 citations

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