This intellectual inquiry explores the profound influence of data quality on data analytics. The immaterial commences by delineating the multifarious aspects of data quality, which include accuracy, completeness, consistency, reliability, and timeliness. It...
Data governance has become a pivotal element in assessing the efficacy and enduring stability of IT systems in the contemporary data-centric landscape. It includes frameworks that assist organizations in overseeing data collection, storage, processing,...
The implementation of advanced data analytics solutions has become paramount in higher education institutions, particularly within correctional education programs. The Department of Corrections (DOC) has faced persistent challenges in ensuring data...
In an era of digital transformation, government organizations handle vast amounts of sensitive data, making robust data governance essential for ensuring security, compliance, and efficiency. Public sector data governance encompasses policies, frameworks,...
The quality of data, particularly its assessment, has been extensively examined in both research and practical applications. To facilitate economically driven management of data quality and decision-making under uncertainty, it is crucial to evaluate the...
Healthcare is one of the most data-intensive sectors, with patient records, clinical trials, public health surveillance, and research generating vast amounts of information that directly impact patient safety, clinical decision-making, and health policy....
Contemporary Artificial Intelligence (AI) systems require fluid, scalable, and intelligent data streams to facilitate real-time analytics, model training, and automated decision-making. Traditional data pipelines are frequently inflexible, labour-intensive,...
s multi-cloud ecosystems continue to gain traction in organizations for their flexibility and scalability, ensuring data reliability across diverse cloud platforms has become a critical challenge. This research explores AI-driven strategies to enhance data...
Artificial Intelligence (AI) data governance has become a critical component in ensuring the responsible, secure, and transparent deployment of AI systems across multiple domains. This article explores the implementation of AI data governance in supply...
As distributed cloud systems continue to evolve and become integral to modern computing, ensuring data reliability remains a significant challenge. Distributed environments, while offering flexibility and scalability, face issues such as data inconsistency,...
This research study analyzes the transformational impact of Generative AI on Oracle Database Automation, emphasizing its capacity to change data management and analytics. As enterprises increasingly depend on data-driven decision-making, efficient and...
Large Language Models (LLMs) are rapidly transforming multiple sectors, including healthcare, finance, and cybersecurity, by enabling advanced data-driven insights and automation. However, the scale and complexity of LLMs introduce significant challenges in...
Multimorbidity, the coexistence of two or more chronic conditions in an individual, presents complex challenges for healthcare management and research. Traditional epidemiological and statistical methods often fail to capture the intricate interactions...
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...
This paper investigates the use of artificial intelligence (AI) in metadata management in libraries, focusing on the problems, potential, and future improvements. Metadata is critical for organizing, managing, and retrieving library resources, and AI...
Computerization in medical services is rapidly transforming the landscape of modern healthcare, particularly within critical environments such as the Operating Room (OR) and Intensive Care Unit (ICU). The integration of advanced digital technologies has led...
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...
Although resilient performance (RP) in health services can be both enhanced and hindered by the use of digital technologies (DTs), little is known on how this influence occurs through design. This study introduces a framework for designing resilient health...
This paper introduces a data analytics-driven methodology for supplier onboarding and ERP-based compliance management that expedites qualification, enhances assurance, and reduces lifecycle risk. A standardized digital intake records identity, regulatory,...
This paper introduces a data analytics-driven methodology for supplier onboarding and ERP-based compliance management that expedites qualification, enhances assurance, and reduces lifecycle risk. A standardized digital intake records identity, regulatory,...
To optimize marketing and sales efforts, ML enables more precise audience segmentation and campaign optimization, which in turn triggers a paradigm change in these fields. In order to determine the best channels and marketing strategies for each cohort, ML...
The swift rise in global internet utilization and the escalating intricacy of digital landscapes have compelled firms to undertake digital transformation to maintain competitiveness. Despite previous studies emphasizing the significance of digital...
On April 17, 2026, the Federal Reserve, OCC, and FDIC jointly issued SR 26-2, Revised Guidance on Model Risk Management, which supersedes both the foundational 2011 guidance (SR 11-7 / OCC Bulletin 2011-12) and the 2021 interagency statement on BSA/AML...
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...
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 main aim of the International Journal of Modern Computing (IJMC) is to publish refereed, well-written original research articles...
Haleema Tayyab
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.
