From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Abstract: Recently the efficiency of neural information retrieval (IR) models has been significantly improved. However, there are technical challenges such as the data bottleneck problem. In ...

Abstract: This article presents a novel constant false alarm rate (CFAR) compressed detection approach for human detection using the impulse radio ultrawideband (IR-UWB) radar. The associated Xampling ...

From CNN Embeddings to Vector Search: A Deep Learning Pipeline for Thermal Object Recognition. The IR Image Classification System is a high-precision, locally-deployed solution for military object ...

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This repository implements an efficient, semantically-aware IR engine built for CS6370-NLP course at IIT Madras. Starting from a TF–IDF Vector Space Model (VSM) on the Cranfield collection, we layer ...