Search Results for author: Aditya Jyoti Paul

Found 7 papers, 0 papers with code

Local and Global Context-Based Pairwise Models for Sentence Ordering

no code implementations8 Oct 2021 Ruskin Raj Manku, Aditya Jyoti Paul

Analysis of the two proposed decoding strategies helps better explain error propagation in pairwise models.

Sentence Ordering

The Need and Status of Sea Turtle Conservation and Survey of Associated Computer Vision Advances

no code implementations29 Jul 2021 Aditya Jyoti Paul

For over hundreds of millions of years, sea turtles and their ancestors have swum in the vast expanses of the ocean.

Machine Learning Advances aiding Recognition and Classification of Indian Monuments and Landmarks

no code implementations29 Jul 2021 Aditya Jyoti Paul, Smaranjit Ghose, Kanishka Aggarwal, Niketha Nethaji, Shivam Pal, Arnab Dutta Purkayastha

Tourism in India plays a quintessential role in the country's economy with an estimated 9. 2% GDP share for the year 2018.

Advances in Classifying the Stages of Diabetic Retinopathy Using Convolutional Neural Networks in Low Memory Edge Devices

no code implementations3 Jun 2021 Aditya Jyoti Paul

Diabetic Retinopathy (DR) is a severe complication that may lead to retinal vascular damage and is one of the leading causes of vision impairment and blindness.

A Tiny CNN Architecture for Medical Face Mask Detection for Resource-Constrained Endpoints

no code implementations30 Nov 2020 Puranjay Mohan, Aditya Jyoti Paul, Abhay Chirania

According to the World Health Organisation, the most effective way to thwart the transmission of coronavirus is to wear medical face masks.

Quantization

Rethinking Generalization in American Sign Language Prediction for Edge Devices with Extremely Low Memory Footprint

no code implementations27 Nov 2020 Aditya Jyoti Paul, Puranjay Mohan, Stuti Sehgal

Due to the boom in technical compute in the last few years, the world has seen massive advances in artificially intelligent systems solving diverse real-world problems.

Quantization

Randomized fast no-loss expert system to play tic tac toe like a human

no code implementations23 Sep 2020 Aditya Jyoti Paul

This paper introduces a blazingly fast, no-loss expert system for Tic Tac Toe using Decision Trees called T3DT, that tries to emulate human gameplay as closely as possible.

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