The advancement of full-stack development frameworks has transformed the software development domain, facilitating the seamless integration of front-end and back-end operations. As dependence on web and mobile apps grows, security and compliance have...
The integration of artificial intelligence into citizen science has created unprecedented opportunities for scientific discovery, but it has also introduced significant ethical challenges that must be addressed to protect participants, maintain trust, and...
The current article examines the regulating factors of analytics, particularly about citizen behaviors and transactions, which are contingent upon the operational realm of an organization (corporate, public sector/government, or academic). We contend that...
The future of smart cities promises unprecedented efficiency, connectivity, and sustainability through advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. However, as urban areas become...
Artificial intelligence is reshaping financial analysis, yet the value of advanced algorithms depends heavily on the quality of the data and governance systems surrounding them. This review examines how artificial intelligence strengthens data governance...
Higher education institutions (HEIs) are increasingly leveraging data analytics to enhance decision-making processes and improve student outcomes. As academic institutions face mounting challenges such as fluctuating enrollment rates, financial constraints,...
Cloud computing has become the backbone of modern digital infrastructure, enabling businesses to leverage scalable, on-demand resources for storage, computation, and data management. However, the dynamic nature of cloud environments introduces challenges in...
The expansion of artificial intelligence in finance has created a tension between predictive efficiency and accountable decision-making. Financial institutions can now automate classification, risk assessment, customer screening, fraud detection, and...
Blockchain technology is rapidly gaining prominence globally. Blockchain, characterized by its decentralized, transparent, and secure attributes, has emerged as a transformative technology for the forthcoming generation of various industrial applications....
The rapid growth of Large Language Models (LLMs) has transformed multiple sectors, including healthcare, finance, cybersecurity, education, and supply chain management. As AI systems become increasingly integrated into critical decision-making processes,...
With the proliferation of mobile devices and applications, securing mobile applications has become a critical aspect of cybersecurity. Mobile apps are increasingly targeted by cybercriminals seeking to exploit vulnerabilities for data theft, unauthorized...
A rethinking of Quality Assurance (QA) procedures is necessary in the modern software development environment, where Agile and DevOps approaches prioritize continuous integration and quick delivery. Examining two crucial areas—test case design and test data...
The rapid digitalization of healthcare has led to the widespread adoption of Cloud-Based Health Information Systems (CHIS), offering enhanced data accessibility, interoperability, and operational efficiency. These systems facilitate real-time access to...
The growth of contemporary computer hardware and the availability of soft-computing tools have penetrated the market and influenced prospective research across nearly all areas of education. Management education is not exempt from the growing trends...
Vehicle automation signifies a novel safety paradigm that may require a reevaluation of current safety supervision frameworks. This white paper provides an overview of the technical and regulatory framework regarding the safety of autonomous driving systems...
The rapid growth of urbanization and globalization has amplified the complexity of modern transportation systems, necessitating innovative approaches to model and optimize these networks. This study explores the integration of Big Data and graph theory as a...
Startups and SMEs need focus, particularly technology startups; although they are fueled by innovation and advancing technology, they require improved data protection practices. This research seeks to collect data regarding the awareness of startups about...
Understanding cybersecurity and password management is essential for privacy, data protection, and stopping online crime. Social media accounts, emails, bank records, and other sensitive and personal data are maintained online in the digital era. Learning...
Community financial institutions, banks, credit unions, and Community Development Financial Institutions (CDFIs) alike, remain structurally disadvantaged in detecting cross-institutional fraud and financial-distress patterns: FinCEN's Section 314(b)...
Metadata facilitates semantic interoperability, data reutilization, and effective information retrieval across diverse systems. Nonetheless, current research exhibits disjointed methodologies and fails to provide a unified perspective on the tactics...
Cross-institutional fraud detection faces a persistent structural problem: financial crime routinely spans multiple banks, credit unions, and Community Development Financial Institutions (CDFIs), yet fewer than one in eight eligible U.S. financial...
Multi-tenant cloud computing scenarios have a high level of security risks because tenants share the same hardware and network. Control of data privacy, access to resources and isolation of these resources pose a significant challenge. Therefore, the...
The integration of artificial intelligence into healthcare systems presents multifaceted technical and pedagogical challenges that require comprehensive multidisciplinary approaches. This article examines the practical obstacles encountered in AI...
Artificial Intelligence (AI) has emerged as a transformative force reshaping governance frameworks across modern organizations. AI-Optimized Full-Stack Governance represents an advanced, integrated governance model that embeds AI-driven intelligence across...
The use of artificial intelligence in critical infrastructure creates a new class of cyber-physical and institutional risks. AI systems depend on extensive data pipelines, complex models, software supply chains, cloud services, interfaces, and continuous...
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