LSTM based decision support system for swing trading in stock market

S Banik, N Sharma, M Mangla, SN Mohanty… - Knowledge-Based …, 2022 - Elsevier
Due to the highly volatile and fluctuating nature of the Indian stock market which is
influenced by a number of factors including government policies, release of a company's …

Annual rainfall prediction using time series forecasting

A Mahajan, A Rastogi, N Sharma - Soft Computing: Theories and …, 2020 - Springer
This paper attempts to determine which one of the various univariate forecasting techniques
is producing accurate and statistically compelling forecasts for rainfall. The term “univariate …

Analysis of regression techniques for stock market prediction: A performance review

S Banik, N Sharma, KP Sharma - 2021 9th International …, 2021 - ieeexplore.ieee.org
Stock market prediction is a highly challenging and popular field in the world of finance. This
manuscript uses the financial data of three big private Indian banks which looks highly …

Statistical analysis for air quality assessment and evaluation: a data mining approach

M Mangla, N Sharma, V Mehta… - … (Trends and Future …, 2021 - ieeexplore.ieee.org
In this era of the industrial revolution, air Pollution is emerging as the most concerning
problem specifically in developing countries. This air pollution considers the escalation of …

Pneumonia detection using CNN and ANN based on deep learning approach

P Bhartiya, S Yadav, A Gupta… - … for healthcare: internet of …, 2021 - Wiley Online Library
Pneumonia is a sort of disease that is caused by microscopic organisms, infections in our
one or both lungs. The organisms that are answerable for pneumonia are transmittable that …

Deep Learning Model for Stochastic Analysis and Time-Series Forecasting of Indian Stock Market

S Yadav - Handbook of Research on Machine Learning, 2022 - api.taylorfrancis.com
In this period of modernization, the stock costs act as the narrator of all the financial and
economic activities of the nation. But high fluctuations in the cost of a stock, the stock market …

Fake News Predictor Model-Based on Machine Learning and Natural Language Processing

P Bhartiya, S Yadav, V Wadhwa… - Handbook of Research …, 2022 - api.taylorfrancis.com
These days, spreading of fake news has become a wide problematic scenario. Fake news is
a fabricated disinformation spread via social media or any other broadcast media by …

Employability of Decision Support System in Data Forecasting for Internet of Things Networks

S Bajaj, S Bansal, M Mangla, S Yadav… - Big Data Analytics in …, 2023 - Springer
This chapter discusses the various techniques and methods related to data forecasting in
Decision Support Systems. There are several methods employed for data forecasting and …

Lung Cancer Detection Using 3D CNN Based on Deep Learning

S Panda, V Chhetri, VK Jaiswal… - … for Healthcare: Internet …, 2021 - Wiley Online Library
Lung cancer is perhaps the most common cause of cancer death across the globe,
responsible for about 25% of the overall deaths from cancer. According to stats, it accounts …

Remedy to COVID‐19: Social Distancing Analyzer

S Yadav - Emerging Technologies for Healthcare: Internet of …, 2021 - Wiley Online Library
In the current scenario of the pandemic, social distancing can act as a remedy to the widely
spreading COVID‐19, as it can slow down the spread of the virus. This is the reason why …