[HTML][HTML] A review of Blockchain Technology applications for financial services

M Javaid, A Haleem, RP Singh, R Suman… - BenchCouncil …, 2022 - Elsevier
Financial service providers find blockchain technology useful to enhance authenticity,
security, and risk management. Several institutions are adopting blockchain in trade and …

Blockchain and renewable energy: Integration challenges in circular economy era

A Yildizbasi - Renewable Energy, 2021 - Elsevier
Renewable energy technologies play a crucial role in reducing the energy consumption by
exploiting natural energy resources. With the increase in the trend towards the use of …

Deep learning-based cryptocurrency price prediction scheme with inter-dependent relations

S Tanwar, NP Patel, SN Patel, JR Patel… - IEEE …, 2021 - ieeexplore.ieee.org
Blockchain technology is becoming increasingly popular because of its applications in
various fields. It gives an edge over the traditional centralized methods as it provides …

Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites

S Davoodi, HV Thanh, DA Wood, M Mehrad… - Expert Systems with …, 2023 - Elsevier
Ongoing anthropogenic carbon dioxide (CO 2) emissions to the atmosphere cause severe
air pollution that leads to complex changes in the climate, which pose threats to human life …

RETRACTED ARTICLE: Evaluating and forecasting the risks of small to medium-sized enterprises in the supply chain finance market using blockchain technology and …

C Dang, F Wang, Z Yang, H Zhang, Y Qian - Operations Management …, 2022 - Springer
The present work applies deep learning and blockchain technology to evaluate and control
the risk of the supply chain finance market, to cope with the diversifications of the financial …

Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms

Y Essam, YF Huang, AH Birima, AN Ahmed… - Scientific Reports, 2022 - nature.com
High loads of suspended sediments in rivers are known to cause detrimental effects to
potable water sources, river water quality, irrigation activities, and dam or reservoir …

Review on diabetic retinopathy with deep learning methods

S Shekar, N Satpute, A Gupta - Journal of Medical Imaging, 2021 - spiedigitallibrary.org
Purpose: The purpose of our review paper is to examine many existing works of literature
presenting the different methods utilized for diabetic retinopathy (DR) recognition employing …

An Online Support Vector Machine Algorithm for Dynamic Social Network Monitoring

A Karami, STA Niaki - Neural Networks, 2024 - Elsevier
Online monitoring of social networks offers exciting features for platforms, enabling both
technical and behavioral analysis. Numerous studies have explored the adaptation of …

Analysis of early warning of corporate financial risk via deep learning artificial neural network

Q Feng, H Chen, R Jiang - Microprocessors and Microsystems, 2021 - Elsevier
To forecast the financial crisis of manufacturing corporations more accurately, a risk warning
model of corporate finance is constructed based on back propagation (BP) neural network to …

Lean production principles in production management

NV Prosvirina, AI Tikhonov, HI Okagbue - Russian Engineering Research, 2021 - Springer
The activity of a manufacturing enterprise is considered. The basic losses are identified; the
operational efficiency of the assembly department is analyzed; measures are developed to …