Towards industrial revolution 5.0 and explainable artificial intelligence: Challenges and opportunities

I Taj, N Zaman - International Journal of Computing and Digital …, 2022 - journal.uob.edu.bh
Technological growth is changing our everyday living, making it smarter and more
convenient day by day; Smart society 5.0, Healthcare 5.0, Agriculture 5.0 are only a few …

Stock market forecasting using computational intelligence: A survey

G Kumar, S Jain, UP Singh - Archives of computational methods in …, 2021 - Springer
Stock market plays a key role in economical and social organization of a country. Stock
market forecasting is highly demanding and most challenging task for investors, professional …

Deep learning for stock market prediction

M Nabipour, P Nayyeri, H Jabani, A Mosavi, E Salwana - Entropy, 2020 - mdpi.com
The prediction of stock groups values has always been attractive and challenging for
shareholders due to its inherent dynamics, non-linearity, and complex nature. This paper …

A survey on FinTech

K Gai, M Qiu, X Sun - Journal of Network and Computer Applications, 2018 - Elsevier
As a new term in the financial industry, FinTech has become a popular term that describes
novel technologies adopted by the financial service institutions. This term covers a large …

Predicting stock market index using fusion of machine learning techniques

J Patel, S Shah, P Thakkar, K Kotecha - Expert systems with applications, 2015 - Elsevier
The paper focuses on the task of predicting future values of stock market index. Two indices
namely CNX Nifty and S&P Bombay Stock Exchange (BSE) Sensex from Indian stock …

Towards secure FinTech: A survey, taxonomy, and open research challenges

S Mehrban, MW Nadeem, M Hussain, MM Ahmed… - Ieee …, 2020 - ieeexplore.ieee.org
Financial Technology (FinTech) has attracted a wide range of attention and is rapidly
proliferating. As a result of its consistent growth new terms have been introduced in this …

A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price

R Hafezi, J Shahrabi, E Hadavandi - Applied Soft Computing, 2015 - Elsevier
Creating an intelligent system that can accurately predict stock price in a robust way has
always been a subject of great interest for many investors and financial analysts. Predicting …

Financial time series prediction using a dendritic neuron model

T Zhou, S Gao, J Wang, C Chu, Y Todo… - Knowledge-Based Systems, 2016 - Elsevier
As a complicated dynamic system, financial time series calls for an appropriate forecasting
model. In this study, we propose a neuron model based on dendritic mechanisms and a …

[PDF][PDF] A machine learning model for stock market prediction

O Hegazy, OS Soliman, MA Salam - arXiv preprint arXiv:1402.7351, 2014 - arxiv.org
Proceedings Template - WORD Page 1 International Journal of Computer Science and
Telecommunications [Volume 4, Issue 12, December 2013] 17 Journal Homepage: www.ijcst.org …

Use and performance of machine learning models for type 2 diabetes prediction in community settings: A systematic review and meta-analysis

K De Silva, WK Lee, A Forbes, RT Demmer… - International journal of …, 2020 - Elsevier
Objective We aimed to identify machine learning (ML) models for type 2 diabetes (T2DM)
prediction in community settings and determine their predictive performance. Method …