Deep study on autonomous learning techniques for complex pattern recognition in interconnected information systems
Z Amiri, A Heidari, N Jafari, M Hosseinzadeh - Computer Science Review, 2024 - Elsevier
Abstract Artificial Intelligence (AI) and Machine Learning (ML) are being used more and
more to handle complex tasks in many different areas. As a result, interconnected …
more to handle complex tasks in many different areas. As a result, interconnected …
[HTML][HTML] Blockchain-driven supply chain analytics and sustainable performance: analysis using PLS-SEM and ANFIS
This study investigated the impact of blockchain-driven supply chain analytics on the
dimensions of lean, agile, resilient, green, and sustainable (LARGS) supply chain …
dimensions of lean, agile, resilient, green, and sustainable (LARGS) supply chain …
[PDF][PDF] Forecasting gold prices with MLP neural networks: a machine learning approach
Predicting gold prices accurately is crucial for investors and policymakers alike, given gold's
significance as a store of value and hedge against economic uncertainty. In this study, we …
significance as a store of value and hedge against economic uncertainty. In this study, we …
[PDF][PDF] Enhancing stock market prediction accuracy with recurrent deep learning models: A case study on the CAC40 index
A Tashakkori, N Erfanibehrouz… - World Journal of …, 2024 - researchgate.net
This paper explores the application of Recurrent Neural Networks (RNNs) and Long Short-
Term Memory (LSTM) networks for stock price prediction over a 10-day horizon. The study …
Term Memory (LSTM) networks for stock price prediction over a 10-day horizon. The study …
Enhancing stock market prediction accuracy with recurrent deep learning models: A case study on the CAC40 index
S Mirshekari - Available at SSRN 4914504, 2024 - papers.ssrn.com
This paper explores the application of Recurrent Neural Networks (RNNs) and Long Short-
Term Memory (LSTM) networks for stock price prediction over a 10-day horizon. The study …
Term Memory (LSTM) networks for stock price prediction over a 10-day horizon. The study …
The Effects of Bitcoin ETFs on Traditional Markets: A Focus on Liquidity, Volatility, and Investor Behavior
Z Ahmadirad - Current Opinion, 2024 - currentopinion.be
Abstract Bringing Bitcoin ETFs into traditional financial markets is like inviting a digital
newcomer to an old-school financial party. This exploration aims to simplify and uniquely …
newcomer to an old-school financial party. This exploration aims to simplify and uniquely …
Driving Innovation in Education: The Role of Transformational Leadership and Knowledge Sharing Strategies
This study aimed to investigate the impact of transformational leadership by educational
institution managers on innovation in education, with a focus on the mediating role of …
institution managers on innovation in education, with a focus on the mediating role of …
[PDF][PDF] The Impact of Social Media Marketing on Digital Service Adoption in Educational Institutions: Exploring the Mediating Role of Brand Equity, Trust, and Word-Of …
Recently, educational institutions have turned to investing in new technologies to provide
digital services to customers as a means of cost control, attracting new customers, and …
digital services to customers as a means of cost control, attracting new customers, and …
The role of subcultures in creating new social issues (with an emphasis on the context of old and new neighborhoods in Tafresh): Qualitative analysis
SM Ghorashi, M Ezzatfar, R Hatami, A Bagheri… - Current …, 2024 - currentopinion.be
The aim of the present study is to examine the role of subcultures in the emergence and
spread of social issues in the subcultures residing in the city of Tafresh. The research …
spread of social issues in the subcultures residing in the city of Tafresh. The research …
[引用][C] Exploring the impact of supply chain integration and agility on commodity supply chain performance
S Dokhanian, A Sodagartojgi… - World Journal …, 2024 - World Journal of Advanced …