The persistent issue of recidivism in Nevada’s criminal justice system necessitates data-driven intervention strategies to reduce re-offense rates and enhance public safety. This study explores the role of predictive analytics, correctional education, and...
Cloud systems play a pivotal role in modern computing, demanding highly efficient and adaptable network topologies to meet the growing needs of scalability, resource utilization, and low latency. This paper explores the application of advanced graph...
A lot of people across the world are talking about how AI and automation will affect the future of work, society, and the economy. We lay out the groundwork for artificial intelligence (AI) and big data (Big Data) and how they relate to public health in...
Artificial intelligence is transforming data governance by enabling organizations to better protect data, address regulatory requirements, and manage enterprise information within unified environments. In recent years, data volumes have increased...
In today’s fast-evolving digital landscape, cloud-native environments have emerged as the cornerstone of scalable and flexible computing. However, ensuring data reliability within these environments remains a critical challenge due to the dynamic nature of...
Static analysis has become a foundational discipline in modern software verification, enabling the detection of software defects, security vulnerabilities, and reliability issues without executing programs. Over time, static analysis has evolved from simple...
Research on artificial intelligence in finance often reports model accuracy without explaining how institutional governance shapes real decision outcomes. This review examines the analytical relationship among artificial intelligence integration, data...
Visual Data Mining is an interdisciplinary approach that integrates data mining algorithms with advanced visualization techniques to support effective knowledge discovery from large and complex datasets. As the volume, variety, and velocity of data continue...
Ransomware attacks on government agencies have escalated in both frequency and sophistication, posing significant challenges to national security, public safety, and operational continuity. These attacks encrypt critical data and demand ransom payments,...
Artificial intelligence (AI) refers to the utilization of computers and technology to emulate intelligent behavior and critical thinking akin to that of a person. In 1956, John McCarthy initially defined the term artificial intelligence as the science and...
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...
An international, open-access academic press.
YUKTAB Publisher
Awan Tower, Peshawar, Pakistan
Monday – Friday, 9:00 AM – 6:00 PM (PKT)
For manuscript status queries, please contact the relevant journal's editorial team directly rather than the general office.
