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...
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...
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,...
In the era of digital transformation, organizations are increasingly reliant on cloud-centric data engineering frameworks to manage vast amounts of data efficiently. The exponential growth of data, coupled with its critical role in driving business...
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....
Data quality assurance is a critical but resource-intensive component of citizen science projects. As project scale and data volume have grown, traditional expert-based quality assurance approaches have become increasingly inadequate, creating a need for...
Data validation is a critical yet resource-intensive component of citizen science projects. As the volume and complexity of citizen science data continue to grow, traditional approaches to quality assurance—relying on expert review or simple filtering rules...
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...
In the modern digital era, data has become one of the most valuable organizational assets, driving innovation, efficiency, and competitive advantage. However, the mere availability of large volumes of data does not automatically translate into effective...
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...
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...
The WEKA (Waikato Environment for Knowledge Analysis) provides a comprehensive suite of tools and functionalities for applying data mining techniques to large and complex datasets. Designed to support both academic research and industrial applications, WEKA...
The rapid evolution of Agile and DevOps methodologies has significantly transformed modern software development by emphasizing continuous delivery, rapid iteration, and collaboration among multidisciplinary teams. In this environment, traditional software...
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...
Biodiversity conservation depends on accurate, timely, and comprehensive data on species distributions, populations, and ecological interactions. Citizen science has emerged as a powerful tool for biodiversity monitoring, mobilizing millions of volunteers...
Computer vision has emerged as a transformative technology in citizen science, enabling automated analysis of images and videos at scales that would be impossible through human effort alone. This review examines the role of computer vision in citizen...
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...
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 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...
Growth Potential at the Crossroads of Artificial Intelligence, Robotics, and Synthetic Biology. Biomedical and bioengineering advancements are impeded by our incapacity to foretell how biological systems will act. We are unable to extrapolate behaviour on a...
Machine Learning with Python (MLPY) has emerged as a cornerstone of modern data-driven research and intelligent system development. Python’s simplicity, extensive libraries, and strong community support make it one of the most widely adopted programming...
Rule-based transaction monitoring systems remain the default anti-money-laundering (AML) control at most deposit-taking institutions, yet they are widely reported to generate false-positive alert rates in excess of 95 percent. For large banks this...
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,...
Recently, Quantum Computing (QC) has garnered increasing attention due to significant advancements in the development of functional quantum computers, quantum materials, and quantum cryptography. In light of advancements in the physical construction and...
The main aim of the International Journal of Modern Computing (IJMC) is to publish refereed, well-written original research articles...
Haleema Tayyab
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