[HTML][HTML] A comprehensive evaluation of ensemble learning for stock-market prediction

IK Nti, AF Adekoya, BA Weyori - Journal of Big Data, 2020 - Springer
Stock-market prediction using machine-learning technique aims at developing effective and
efficient models that can provide a better and higher rate of prediction accuracy. Numerous …

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 …

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 …

International Roughness Index (IRI) prediction using various machine learning techniques on Flexible Pavements

WH Pandit, KP Sharma… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Pavement performance is an essential factor for companies to shape their strategies for
maintenance, repair, and sometimes reconstruction of damaged roads. Pavement …

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 …

A Novel Ensemble Model for Complex Entities Identification in Low Resource Language

P Vats, N Sharma, DK Sharma - EAI Endorsed Transactions on …, 2024 - publications.eai.eu
The fundamental method for pre-processing speech or text data that enables computers to
comprehend human language is known as natural language processing. Numerous models …

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 …

Machine Learning Techniques for Aspect Analysis of Employee Attrition

A Hooda, P Garg, N Sharma, M Mangla - International Conference on …, 2022 - Springer
Employee attrition is the reduction in the employee workforce, which can be defined as the
rate of employees leaving the company faster than the rate they are hired. Attrition may be …