Machine learning (ML) models have emerged as powerful tools in cybersecurity, offering proactive threat detection and risk mitigation capabilities. This study examines the effectiveness of ML models in predicting ransomware attacks on critical public health...
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...
This paper introduces an enhanced, risk-aware software design framework tailored for Internet of Things (IoT) applications, emphasizing the integration of region-specific compliance mandates directly into the development lifecycle. The proposed framework...
As the complexity of modern software systems continues to escalate, organizations face increasing pressure to enhance the efficiency, reliability, and speed of their software quality assurance (SQA) processes. In this dynamic and rapidly evolving landscape,...
The rapid advancement of large language models (LLMs) such as GPT and BERT has revolutionized multiple industries, including healthcare, finance, supply chain management, and cybersecurity. While these models demonstrate remarkable capabilities in natural...
As the world is rapidly growing towards digitalization, everyone is having a heavy reliance on technology to store sensitive data and make transactions, leading to the convenience of lives. Nonetheless, the ever-growing technology has led to the exposure of...
Cloud storage security in government agencies is critical to safeguarding national data from cyber threats, as the increasing reliance on cloud computing introduces new vulnerabilities that adversaries seek to exploit. Government agencies store vast amounts...
The integration of machine learning with self-healing capabilities represents a significant advancement in the development of adaptive AI systems. These systems are designed to independently identify, analyze, and rectify operational anomalies, ensuring...
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,...
The rapid expansion of web-based platforms, digital services, and data-driven applications has significantly increased the complexity of governing online ecosystems. AI-Enabled Policy-Driven Web Governance represents an advanced governance paradigm that...
Smart cities and sustainable infrastructure increasingly rely on artificial intelligence, connected sensors, digital twins, and automated decision systems. These technologies can improve energy efficiency, maintenance, mobility, and service delivery, but...
Introduction The Metascience (An International Multidisciplinary Research Journal) is a double-blind, peer-reviewed, open-access...
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