Artificial intelligence: a survey on evolution, models, applications and future trends
Y Lu - Journal of Management Analytics, 2019 - Taylor & Francis
Artificial intelligence (AI) is one of the core drivers of industrial development and a critical
factor in promoting the integration of emerging technologies, such as graphic processing …
factor in promoting the integration of emerging technologies, such as graphic processing …
Artificial intelligence and economic development: An evolutionary investigation and systematic review
In today's environment of the rapid rise of artificial intelligence (AI), debate continues about
whether it has beneficial effects on economic development. However, there is only a …
whether it has beneficial effects on economic development. However, there is only a …
Predicting stock market trends using machine learning and deep learning algorithms via continuous and binary data; a comparative analysis
M Nabipour, P Nayyeri, H Jabani, S Shahab… - Ieee …, 2020 - ieeexplore.ieee.org
The nature of stock market movement has always been ambiguous for investors because of
various influential factors. This study aims to significantly reduce the risk of trend prediction …
various influential factors. This study aims to significantly reduce the risk of trend prediction …
Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series
MHDM Ribeiro, L dos Santos Coelho - Applied soft computing, 2020 - Elsevier
The investigation of the accuracy of methods employed to forecast agricultural commodities
prices is an important area of study. In this context, the development of effective models is …
prices is an important area of study. In this context, the development of effective models is …
Comprehensive review of deep reinforcement learning methods and applications in economics
The popularity of deep reinforcement learning (DRL) applications in economics has
increased exponentially. DRL, through a wide range of capabilities from reinforcement …
increased exponentially. DRL, through a wide range of capabilities from reinforcement …
Artificial intelligence in business and economics research: Trends and future
Artificial Intelligence is a disruptive technology developed during the 20th century, which has
undergone an accelerated evolution, underpinning solutions to complex problems in the …
undergone an accelerated evolution, underpinning solutions to complex problems in the …
An improved Stacking framework for stock index prediction by leveraging tree-based ensemble models and deep learning algorithms
M Jiang, J Liu, L Zhang, C Liu - Physica A: Statistical Mechanics and its …, 2020 - Elsevier
Stock price index is an essential component of financial systems and indicates the economic
performance in the national level. Even if a small improvement in its forecasting performance …
performance in the national level. Even if a small improvement in its forecasting performance …
Predicting the core determinants of cloud-edge computing adoption (CECA) for sustainable development in the higher education institutions of Africa: A high order …
Aims In the recent past, many studies have been conducted to elucidate the determinants
affecting cloud computing adoption at different institutional levels. The study aims to identify …
affecting cloud computing adoption at different institutional levels. The study aims to identify …
Exploring factors of the willingness to accept AI-assisted learning environments: an empirical investigation based on the UTAUT model and perceived risk theory
W Wu, B Zhang, S Li, H Liu - Frontiers in Psychology, 2022 - frontiersin.org
Artificial intelligence (AI) technology has been widely applied in many fields. AI-assisted
learning environments have been implemented in classrooms to facilitate the innovation of …
learning environments have been implemented in classrooms to facilitate the innovation of …
[PDF][PDF] Classical machine learning methods in economics research: Macro and micro level example
V Babenko, A Panchyshyn, L Zomchak… - … on Business and …, 2021 - academia.edu
Paper reviews the classical methods of machine learning (supervised and unsupervised
learning), gives examples of the application of different methods and discusses approaches …
learning), gives examples of the application of different methods and discusses approaches …