Intelligent prediction of maximum ground settlement induced by EPB shield tunneling using automated machine learning techniques
SM Hussaine, L Mu - Mathematics, 2022 - mdpi.com
Predicting the maximum ground subsidence (Smax) in the construction of soil pressure
balanced shield tunnel, particularly on soft foundation soils, is essential for safe operation …
balanced shield tunnel, particularly on soft foundation soils, is essential for safe operation …
LSTMSA: a novel approach for stock market prediction using lstm and sentiment analysis
A Sarkar, AK Sahoo, S Sah… - … Conference on Computer …, 2020 - ieeexplore.ieee.org
Stock market prediction is one of the most popular use cases for machine learning models. A
general model that can predict the rise and fall of stocks is an arduous task as there maybe …
general model that can predict the rise and fall of stocks is an arduous task as there maybe …
Analysis of various approaches for stock market prediction
Abstract Stock Market Prediction (SMP) is highly complex in nature and its research has
been of utmost importance in recent years. People involved in the Stock Market do not invest …
been of utmost importance in recent years. People involved in the Stock Market do not invest …
Predicting stock market trends using random forest: A comparative analysis
For measuring the size of economies, stock price prediction is becoming a popular and
engrossing research issue in the financial and academic sectors. For estimating and …
engrossing research issue in the financial and academic sectors. For estimating and …
[PDF][PDF] Prediction of stock market using machine learning algorithms
N Bhardwaj, MA Ansari - International Research Journal of …, 2019 - academia.edu
In modern financial market, the most crucial problem is to find essential approach to outline
and visualizing the predictions in stock-markets to be made by individuals in order to attain …
and visualizing the predictions in stock-markets to be made by individuals in order to attain …
Machine learning model approaches for price prediction in coffee market using linear regression, XGB, and LSTM techniques
AJ Fofanah - International Journal of Scientific Research in …, 2021 - papers.ssrn.com
Investors and other business persons have a desire to know about the future market price
because, if the investors know about the future price of a certain commodity or stock it will …
because, if the investors know about the future price of a certain commodity or stock it will …
A hybrid method based on machine learning to predict the stock prices in bangladesh
The stock market is a fascinating industry to research. There are several varieties in it. Many
specialists have studied and researched the many patterns that the stock market …
specialists have studied and researched the many patterns that the stock market …
Stock market prediction using machine learning
Q Chen - 2022 International Conference on Bigdata Blockchain …, 2022 - atlantis-press.com
Stock market analysis and prediction has always been a challenging problem for finance
experts because it is so volatile and susceptible of external factors that deeply affect the …
experts because it is so volatile and susceptible of external factors that deeply affect the …
Comparative Study of Machine Learning Algorithms towards Predictive Analytics
M Petchiappan, J Aravindhen - Recent Advances in Computer …, 2023 - ingentaconnect.com
Background: The trend of the stock market prediction has always been challenging and
confusing for investors. There is tremendous growth in stock market prediction with the …
confusing for investors. There is tremendous growth in stock market prediction with the …
COVID-19 pandemic in India: forecasting using machine learning techniques
HS Hota, R Handa, AK Shrivas - Data Science for COVID-19, 2021 - Elsevier
Forecasting about the Novel coronavirus disease 2019 (COVID-19) pandemic involves high
uncertainty and may be affected by measures taken by the government to fight the disease …
uncertainty and may be affected by measures taken by the government to fight the disease …