Deeksha Chandola
Jaypee Institute of Information Technology
10 Papers
8 Citations
Deeksha Chandola is an academic researcher from Jaypee Institute of Information Technology. The author has contributed to research in topics: Computer science & Thin film. The author has an hindex of 3, co-authored 8 publications.
Chat about Author
Papers
Stock Closing Price Prediction using Machine Learning Techniques
TL;DR: Artificial Neural Network and Random Forest techniques have been utilized for predicting the next day closing price for five companies belonging to different sectors of operation and show that the models are efficient in predicting stock closing price.
535
Multi-step ahead forecasting of global solar radiation for arid zones using deep learning
TL;DR: A solar irradiance forecasting scheme for multi-horizon forecasting of solar radiation considering 3/6/24 hours ahead scenarios and is optimized in terms of number of neurons and is evaluated using standard statistical indicators: RMSE and MAPE.
63
Forecasting Directional Movement of Stock Prices using Deep Learning
TL;DR: In this article , a hybrid deep learning model combining Word2Vec and LSTM was proposed to predict the stock market prices based on financial time series and news headlines as inputs.
Image Transmission Using Li-Fi
Mohit Vasuja,Amritansh Kumar Mishra,Udbhav Singh Chauhan,Deeksha Chandola,Shashank Kapoor +4 more
- 20 Apr 2018
TL;DR: This work gives an originative way of scheming a Li-Fi Prototype, a prototype that is based on the visible light spectrum that uses a LED and a photodiode or phototransistor to transmit and receive data respectively.
18
Contextual Bandit Approach-based Recommendation System for Personalized Web-based Services
Akshay Pilani,Kritagya Mathur,Himanshu Agrawald,Deeksha Chandola,Vinay Anand Tikkiwal,Arun Kumar +5 more
TL;DR: The experiment results show that CoLin outperforms Hybrid-LinUBC and LinUCB, reporting cumulated regret of 8.950 for LastFm and 60.34 for MovieLens20M and 34.10 for Yahoo Front Page Today Module.
8