The popularity of deep reinforcement learning (DRL) applications in economics has
increased exponentially. DRL, through a wide range of capabilities from reinforcement …

Research Question: This paper reviews different artificial intelligence (AI) techniques
application in financial risk management. Motivation: Financial technology has significantly …

Credit ratings are one of the primary keys that reflect the level of riskiness and reliability of
corporations to meet their financial obligations. Rating agencies tend to take extended …

Emergence of peer-to-peer lending has opened an appealing option for micro-financing and
is growing rapidly as an option in the financial industry. However, peer-to-peer lending …

Classification algorithms are used in many domains to extract information from data, predict
the entry probability of events of interest, and, eventually, support decision making. This …

Purpose This paper aims to explore the effectiveness of an artificial neural network (ANN) in
predicting fraudulent financial reporting in small market capitalization companies in …

The paper illustrates an adaptive approach based on different topologies of artificial neural
networks (ANNs) for the power energy output forecasting of photovoltaic (PV) modules. The …

The public buildings sector represents one of the most intensive items of EU energy
consumption; the application of retrofit solutions in existing buildings is a crucial way to …

The power curve of a wind turbine describes the generated power versus instantaneous
wind speed. Assessing wind turbine performance under laboratory ideal conditions will …

This article considered the problem of determining the creditworthiness of an enterprise
operating in the field of trade and services. The assessment of the creditworthiness of …