Transformational application of Artificial Intelligence and Machine learning in Financial Technologies and Financial services: A bibliometric review

V Kanaparthi - arXiv preprint arXiv:2401.15710, 2024 - arxiv.org
In this study, I employ a multifaceted comprehensive scientometric approach to explore the
intellectual underpinnings of AI and ML in financial research by examining the publication …

Exploring the Impact of Blockchain, AI, and ML on Financial Accounting Efficiency and Transformation

V Kanaparthi - International Conference on Multi-Strategy Learning …, 2024 - Springer
Continuous innovations profoundly impact the financial and commercial domains, reshaping
conventional business practices. Among the disruptive forces, artificial intelligence (AI) …

Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptability

N Kamuni, H Shah, S Chintala… - 2024 IEEE 18th …, 2024 - ieeexplore.ieee.org
End-to-end multi-task dialogue systems are usually designed with separate modules for the
dialogue pipeline. Among these, the policy module is essential for deciding what to do in …

[HTML][HTML] A systematic review on research utilising artificial intelligence for open source intelligence (OSINT) applications

TO Browne, M Abedin, MJM Chowdhury - International Journal of …, 2024 - Springer
This paper presents a systematic review to identify research combining artificial intelligence
(AI) algorithms with Open source intelligence (OSINT) applications and practices. Currently …

Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performance

A Soni, S Alla, S Dodda, H Volikatla - arXiv preprint arXiv:2405.18687, 2024 - arxiv.org
The market for domestic robots made to perform household chores is growing as these
robots relieve people of everyday responsibilities. Domestic robots are generally welcomed …

From Text to Trends: A Unique Garden Analytics Perspective on the Future of Modern Agriculture

P Saxena - arXiv preprint arXiv:2309.12579, 2023 - arxiv.org
Data-driven insights are essential for modern agriculture. This research paper introduces a
machine learning framework designed to improve how we educate and reach out to people …

[HTML][HTML] Navigating Uncertainty: Enhancing Markowitz Asset Allocation Strategies through Out-of-Sample Analysis

VK Kanaparthi - FinTech, 2024 - mdpi.com
This research paper explores the complicated connection between uncertainty and the
Markowitz asset allocation framework, specifically investigating how mistakes in estimating …

The Evolution of Football Betting-A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation

P Mandadapu - arXiv preprint arXiv:2403.16282, 2024 - arxiv.org
This paper explores the significant history of professional football and the betting industry,
tracing its evolution from clandestine beginnings to a lucrative multi-million-pound …

Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualization

N Kamuni, D Panwar - arXiv preprint arXiv:2405.17413, 2024 - arxiv.org
The aim of this study is to teach an algorithm how to recognize different types of music.
Users will submit songs for analysis. Since the algorithm hasn't heard these songs before, it …

Optimizing Bio-energy Supply Chain to Achieve Alternative Energy Targets

J Thomas - arXiv preprint arXiv:2406.00056, 2024 - arxiv.org
In response to global warming and the dwindling reservoirs of fossil fuels, Thailand has
increasingly embraced alternative energy sources. Central to its energy development …