The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Innovative Machine Learning Applications for green Finance
|
|
Author(s): Dilip I. Sangotra (Department of Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India), Dhara Vinod Parmar (Department of Design and Merchandising, Parul Institute of Design, Parul University, Waghodia, India), Nishant Bhuvanesh Trivedi (Department of Animation and Design, Parul Institute of Design, Parul University, Waghodia, India), P. Vidhya Priya (Department of Management Studies, Kongu Engineering College, India), T. Pravin (Research and Development, RSP Science Hub, Coimbatore, India)and K. Praveenkumar (KPR IT, Coimbatore, India)
Copyright: 2026
Pages: 30
Source title:
Intersecting AI, Neurofinance, and Behavioral Finance for Decision Making
Source Author(s)/Editor(s): Aslı Kaya (İstanbul Gelişim University, Turkey)
DOI: 10.4018/979-8-3373-1494-5.ch014
Purchase
|
Abstract
This chapter explores the use of machine learning (ML) for recommended systems made for green finance in the financial sector. Green financing aims to promote environmental conscious investments and actions; thus, it is imperative to use cutting edge technology to enhance the decision -making processes. This chapter covers the integration of machine learning algorithms to evaluate large datasets, predict investment opportunities and recommend appropriate green financial solutions. Possible and serious problems when machine learning-based recommended systems are used for green finance. There is also talk of real-world rituals for governments and financial organizations. This study uses cutting edge technical innovations to promote sustainable credit.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|