Multimorbidity denotes the simultaneous presence of two or more chronic illnesses inside an individual. Consequently, individuals with multimorbidity possess diverse and specific treatment requirements. In reality, fulfilling these objectives is challenging...
Artificial Intelligence (AI) has emerged as a transformative technology in the healthcare sector, offering significant opportunities to improve medical services, research, and patient care. AI-based technologies such as machine learning, deep learning, and...
Ensemble machine-learning models have achieved striking published results for financial transaction fraud detection, with recent peer-reviewed studies reporting F1-scores as high as 0.99 and accuracy exceeding 99.9 percent on benchmark credit-card fraud...
This paper presents an advanced AI-powered testing framework aimed at optimizing the software quality assurance (QA) lifecycle for complex and modular software systems. Building upon the foundational work of Kothamali and Banik [1], who introduced a machine...
Customer engagement platforms have evolved significantly, with artificial intelligence (AI) facilitating a transition from a reactive, service-oriented model to a proactive, predictive, and personalised approach to customer engagement. Customer attrition...
In the digital era, cloud computing has become integral to modern data storage and processing, offering scalability and cost-effectiveness. However, ensuring data integrity defined as the accuracy, consistency, and reliability of data—remains a critical...
The swift embrace of cloud computing has revolutionised organisational management of IT resources, requiring strong governance frameworks to tackle the complexities and hazards associated with cloud systems. This paper presents a complete governance...
Behavioral analytics for detecting insider threats in governmental organizations represents a critical area of research focused on identifying malicious or negligent activities from within an organization, often by individuals with authorized access....
The rapid proliferation of cloud infrastructures has transformed data management, enabling organizations to process, store, and analyse vast amounts of data with unprecedented efficiency. However, the reliability of data pipelines within these...
As data ecosystems become increasingly complex, organizations are compelled to implement strong data governance mechanisms to safeguard data accuracy, confidentiality, and regulatory adherence. Within this landscape, metadata management serves as a...
The integration of Artificial Intelligence (AI) in contemporary software ecosystems transcends mere model correctness, necessitating the establishment and orchestration of robust, scalable backend infrastructures for seamless integration and deployment....
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...
Improving data communication in DCAs can help correspondingly improve the system's intrinsic performance, scalability, and dependability. With the complexity of cloud environments ever rising, efficient data messaging across multiple nodes is sometimes a...
Recent breakthroughs in artificial intelligence have achieved success in several therapeutic activities due to the development and application of big data, supercomputing, sensor networks, brain science, and other technologies. Nonetheless, no initiatives...
Small and medium-sized enterprises remain disproportionately vulnerable to financial distress, yet the periodic financial statements conventionally used to assess their credit health update far too infrequently for meaningful early warning. This article...
Governments worldwide face increasing challenges in responding to disasters and crises, necessitating resilient IT strategies that ensure continuity, adaptability, and efficiency. A robust IT framework for disaster response and crisis management integrates...
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...
Distributed computing particularly, fault tolerant systems has indispensable functionality in maintaining the dependability and availability of the actual time applications across various sectors including but not limited to healthcare, aerospace,...
The goal of this literature review is to summarise the most important findings from recent studies on AI in healthcare settings. When it comes to solving difficult medical challenges, artificial intelligence has been a game-changer. Artificial...
GraphQL's adaptability is great for speedy data retrieval, but it also brings new security risks that standard API safeguards don't always cover. Attacks like denial-of-service and data exfiltration through injection can be caused by malicious GraphQL...
Data mining has become a fundamental component of knowledge discovery across diverse domains such as healthcare, finance, scientific research, and business intelligence. As data volumes, sources, and analytical techniques continue to expand, the need for...
The growing digitalisation of financial services and distant contacts has rendered artificial intelligence (AI) essential for providing assistance. This research investigates the capacity of AI-driven technologies—specifically machine learning algorithms...
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...
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...
Real-time data processing has emerged as a crucial tool for contemporary enterprises, allowing instantaneous analysis and response to perpetually created data. This study examines the significant influence of real-time data processing on corporate...
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