A review of advanced accounting techniques in US economic resilience

B Odonkor, S Kaggwa, PU Uwaoma… - Finance & Accounting …, 2024 - fepbl.com
This research paper explores the transformative impact of advanced accounting techniques
on US economic resilience. Analyzing trends, challenges, and future trajectories, the paper …

Targeted metal–organic framework discovery goes digital: machine learning's quest from algorithms to atom arrangements

M Chafiq, A Chaouiki, YG Ko - Advanced Composites and Hybrid Materials, 2024 - Springer
The integration of metal nodes with organic linkers in structured architectures offers the
prospect of creating an extensive array of metal–organic frameworks (MOFs). Although this …

Network Intrusion Detection System using Deep Learning Techniques

A Rathee, P Malik, MK Parida - 2023 International Conference …, 2023 - ieeexplore.ieee.org
The importance of cyber security is rising as technology continues to develop throughout the
world. As a result, fraudsters are coming up with innovative and highly technical ways to …

Role of Artificial Intelligence and Machine Learning in Fraud Detection and Prevention

R Sharma, K Mehta, P Sharma - Risks and Challenges of AI-Driven …, 2024 - igi-global.com
In today's rapidly advancing technological landscape and expanding economies, the
financial sector confronts a pressing issue: the escalating prevalence of fraud. Annual losses …

Machine Learning: Models, Challenges, and Research Directions

T Talaei Khoei, N Kaabouch - Future Internet, 2023 - mdpi.com
Machine learning techniques have emerged as a transformative force, revolutionizing
various application domains, particularly cybersecurity. The development of optimal …

[PDF][PDF] Challenges and Solutions for Data Integrity in Clinical Trials Informatics

L Chan - 2023 - osf.io
Maintaining data integrity in clinical trials informatics is a critical challenge that directly
impacts the reliability and credibility of research outcomes. This paper explores the …

Autonomous Threat Hunting: A Future Paradigm for AI-Driven Threat Intelligence

SR Sindiramutty - arxiv preprint arxiv:2401.00286, 2023 - arxiv.org
The evolution of cybersecurity has spurred the emergence of autonomous threat hunting as
a pivotal paradigm in the realm of AI-driven threat intelligence. This review navigates …

[HTML][HTML] Market intelligence applications leveraging a product-specific Sentence-RoBERTa model

YL Jung - Applied Soft Computing, 2024 - Elsevier
Market intelligence, which collects and analyzes market trends and competitive landscape,
is crucial for business success in the market. In particular, defining market scope is important …

[PDF][PDF] Using deep learning to enhance business intelligence in organizational management

S Gholami, E Zarafshan, R Sheikh… - Data Science in Finance …, 2023 - aimspress.com
Business intelligence (BI) is crucial in organizational management, providing insights that
enable informed decision-making. Traditional BI approaches, however, are limited in …

[PDF][PDF] Data Science in Health Informatics: Harnessing Big Data for Healthcare

M Khan - 2023 - osf.io
Data Science has emerged as a powerful approach in the field of Health Informatics,
leveraging advanced analytical techniques to extract valuable insights from vast and diverse …