Decentralized finance (DeFi): a paradigm shift in the Fintech

R Xu, J Zhu, L Yang, Y Lu, LD Xu - Enterprise Information Systems, 2024 - Taylor & Francis
The financial landscape is undergoing a revolution with the Decentralized Finance (DeFi),
poised to reshape business value creation. This study provides an overview of research …

Hybrid Hunter–Prey Optimization with Deep Learning-Based Fintech for Predicting Financial Crises in the Economy and Society

I Katib, FY Assiri, T Althaqafi, ZM AlKubaisy, D Hamed… - Electronics, 2023 - mdpi.com
Financial technology (Fintech) plays a pivotal role in driving contemporary technology,
society, economies, and many other fields. The new-generation Fintech is Smart Fintech …

[HTML][HTML] Bitcoin volatility in bull vs. bear market-insights from analyzing on-chain metrics and Twitter posts

AC Baroiu, V Diaconita, SV Oprea - PeerJ Computer Science, 2023 - peerj.com
Cryptocurrencies have emerged as a popular investment vehicle, prompting numerous
efforts to predict market trends and identify metrics that signal periods of volatility. One …

Harnessing probabilistic neural network with triple tree seed algorithm-based smart enterprise quantitative risk management framework

I Katib, E Albassam, SA Sharaf, M Ragab - Scientific Reports, 2024 - nature.com
Enterprise risk management (ERM) frameworks convey vital principles that help create a
consistent risk management culture, irrespective of employee turnover or industry standards …

Hash message authentication codes for securing data in wireless body area networks

I Nagasundharamoorthi, P Venkatesan… - Concurrency and …, 2024 - Wiley Online Library
There are numerous medical applications for the growing use of wireless body area
networks (WBANs), including remote patient health monitoring, early illness detection, and …

Deep convolutional neural networks with Bee Collecting Pollen Algorithm (BCPA)-based landslide data balancing and spatial prediction

J Aruna Jasmine… - Journal of Intelligent & …, 2024 - content.iospress.com
Predicting the landslide-prone area is critical for various applications, including emergency
response, land planning, and disaster mitigation. There needs to be a thorough landslide …

Modeling of Artificial Intelligence-Based Automated Climate Control with Energy Consumption Using Optimal Ensemble Learning on a Pixel Non-Uniformity Metro …

S Justin, W Saleh, MMA Lashin, HM Albalawi - Sustainability, 2023 - mdpi.com
Climate control in a pixel non-uniformity metro system includes regulating the air, humidity,
and temperature quality within metro trains and stations to ensure passenger comfort and …

A modified time adaptive self-organizing map with stochastic gradient descent optimizer for automated food recognition system

JG Kotwal, S Koparde, C Jadhav, R Bharati… - Journal of Stored …, 2024 - Elsevier
Numerous decades of study have been devoted to associating artificial intelligence and
culinary type recognition. Automated food identification systems are significant in many …

Machine Learning for Geospatial Analysis: Enhancing Spatial Understanding and Decision-Making

RR Vincent, E Sakthivel, M Kumari, F Nisha… - … Learning, and Python …, 2024 - igi-global.com
Historically, statistical techniques have been a major component of geographic analysis,
which is the study of geographical phenomena using geographic data. But the emergence of …

Radial basis function neural network-based algorithm unfolding for energy-aware resource allocation in wireless networks

BT Prasanna, D Ramya, N Shelke, JB Fernandes… - Wireless …, 2024 - Springer
Significant advances in high-bandwidth applications and rising power consumption have
highlighted the need for energy-efficient design solutions in backbone optical networks …