Forecasting Digital Asset Return: An Application of Machine Learning Model
International Journal of Finance &Economics, Volume 30, Issue 3, Page 3169-3186, July 2025.ABSTRACT In this study, we aim to identify the machine learning model that can overcome the limitations of traditional statistical modelling techniques in forecasting Bitcoin prices. Also, we outline the necessary conditions that make the model suitable.
Vito Ciciretti +4 more
wiley +1 more source
Energy Conversion and Economics, Volume 6, Issue 3, Page 187-195, June 2025.Abstract The collaborative energy scheduling of source‐load‐energy storage has great potential to meet the active control requirements of power‐distribution networks. In this study, a federated deep reinforcement learning framework was developed to facilitate collaborative energy scheduling and maximize the total economic benefit in a distribution ...
Yanhong Yang +4 more
wiley +1 more source
Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits [PDF]
, 2023 Arnab Maiti +3 more
openalex +1 more source
Prediction of stock prices with automated reinforced learning algorithms
Expert Systems, Volume 42, Issue 2, February 2025.Abstract Predicting stock price movements remains a major challenge in time series analysis. Despite extensive research on various machine learning techniques, few models have consistently achieved success in automated stock trading. One of the main challenges in stock price forecasting is that the optimal model changes over time due to market dynamics.
Said Yasin +2 more
wiley +1 more source
A survey on deep reinforcement learning architectures, applications and emerging trends
IET Communications, Volume 19, Issue 1, January/December 2025.Abstract From a future perspective and with the current advancements in technology, deep reinforcement learning (DRL) is set to play an important role in several areas like transportation, automation, finance, medical and in many more fields with less human interaction.
Surjeet Balhara +6 more
wiley +1 more source
Bioinspired Adaptive Resource Scheduling for QoS in Mobile Edge Deployments
IET Communications, Volume 19, Issue 1, January/December 2025.This research investigates an innovative adaptive vector autoregressive moving average with exogenous variables (VARMAx)‐based bioinspired resource scheduling model, purpose‐built for mobile edge deployments. The proposed model utilises the robust principles of flower pollination optimisation (FPO) to map tasks to virtual machines (VMs), a procedure ...
Gagandeep Kaur +2 more
wiley +1 more source
Evolution in fluctuating environments: A generic modular approach. [PDF]
Evolution, 2022 Steinmetz B, Meyer I, Shnerb NM.
europepmc +1 more source
How the storage effect and the number of temporal niches affect biodiversity in stochastic and seasonal environments. [PDF]
PLoS Comput Biol, 2022 Meyer I, Steinmetz B, Shnerb NM.
europepmc +1 more source
Patrol War-A Kind of Stochastic Duel Model for Multi-Arms Engagement
, 2023 Boyu Jia +4 more
openalex +1 more source
Game Theory-Based Authentication Framework to Secure Internet of Vehicles with Blockchain. [PDF]
Sensors (Basel), 2022 Gupta M +7 more
europepmc +1 more source