A review of advanced accounting techniques in US economic resilience
This research paper explores the transformative impact of advanced accounting techniques
on US economic resilience. Analyzing trends, challenges, and future trajectories, the paper …
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
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 …
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 …
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
In today's rapidly advancing technological landscape and expanding economies, the
financial sector confronts a pressing issue: the escalating prevalence of fraud. Annual losses …
financial sector confronts a pressing issue: the escalating prevalence of fraud. Annual losses …
Machine Learning: Models, Challenges, and Research Directions
Machine learning techniques have emerged as a transformative force, revolutionizing
various application domains, particularly cybersecurity. The development of optimal …
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 …
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 …
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 …
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
Business intelligence (BI) is crucial in organizational management, providing insights that
enable informed decision-making. Traditional BI approaches, however, are limited in …
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 …
leveraging advanced analytical techniques to extract valuable insights from vast and diverse …