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20212025
most citedStock Price Prediction using Sentiment Analysis and Deep Learning for Indian Markets

26 citations · 60 across the 16 of their papers we have counts for

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Showing 2022Show all

11 papers · 1 filter

eess.IV2022★ 1 cited

Prediction of COVID-19 using chest X-ray images

Narayana Darapaneni, Suma Maram, Harpreet Singh +4

COVID-19, also known as Novel Coronavirus Disease, is a highly contagious disease that first surfaced in China in late 2019. SARS-CoV-2 is a coronavirus that belongs to the vast fa…

cs.CL2022★ 2 cited

Matching Writers to Content Writing Tasks

Narayana Darapaneni, Chandrashekhar Bhakuni, Ujjval Bhatt +4

Businesses need content. In various forms and formats and for varied purposes. In fact, the content marketing industry is set to be worth $412.88 billion by the end of 2021. Howeve…

cs.CL2022★ 1 cited

LSTM-RASA Based Agri Farm Assistant for Farmers

Narayana Darapaneni, Selvakumar Raj, Raghul V +3

The application of Deep Learning and Natural Language based ChatBots are growing rapidly in recent years. They are used in many fields like customer support, reservation system and…

cs.IR2022★ 1 cited

Farmer-Bot: An Interactive Bot for Farmers

Narayana Darapaneni, Rajiv Tiwari, Anwesh Reddy Paduri +3

The Indian Agricultural sector generates huge employment accounting for over 54% of countrys workforce. Its overall stand in GDP is close to 14%. However, this sector has been plag…

q-fin.ST2022★ 26 cited

Stock Price Prediction using Sentiment Analysis and Deep Learning for Indian Markets

Narayana Darapaneni, Anwesh Reddy Paduri, Himank Sharma +5

Stock market prediction has been an active area of research for a considerable period. Arrival of computing, followed by Machine Learning has upgraded the speed of research as well…

eess.IV2022★ 5 cited

Pneumonia Detection in Chest X-Rays using Neural Networks

Narayana Darapaneni, Ashish Ranjan, Dany Bright +4

With the advancement in AI, deep learning techniques are widely used to design robust classification models in several areas such as medical diagnosis tasks in which it achieves go…

cs.CV2022★ 9 cited

Detection of Distracted Driver using Convolution Neural Network

Narayana Darapaneni, Jai Arora, MoniShankar Hazra +4

With over 50 million car sales annually and over 1.3 million deaths every year due to motor accidents we have chosen this space. India accounts for 11 per cent of global death in r…

cs.CV2022

Implementing a Real-Time, YOLOv5 based Social Distancing Measuring System for Covid-19

Narayana Darapaneni, Shrawan Kumar, Selvarangan Krishnan +4

The purpose of this work is, to provide a YOLOv5 deep learning-based social distance monitoring framework using an overhead view perspective. In addition, we have developed a custo…

cs.CV2022★ 2 cited

Contextual Attention Mechanism, SRGAN Based Inpainting System for Eliminating Interruptions from Images

Narayana Darapaneni, Vaibhav Kherde, Kameswara Rao +5

The new alternative is to use deep learning to inpaint any image by utilizing image classification and computer vision techniques. In general, image inpainting is a task of recreat…

cs.CV2022★ 9 cited

Banana Sub-Family Classification and Quality Prediction using Computer Vision

Narayana Darapaneni, Arjun Tanndalam, Mohit Gupta +5

India is the second largest producer of fruits and vegetables in the world, and one of the largest consumers of fruits like Banana, Papaya and Mangoes through retail and ecommerce…

cs.CV2022★ 4 cited

Detecting key Soccer match events to create highlights using Computer Vision

Narayana Darapaneni, Prashant Kumar, Nikhil Malhotra +5

The research and data science community has been fascinated with the development of automatic systems for the detection of key events in a video. Special attention in this field is…