Recognition of images and voices, processing of natural languages, and even healthcare are just a few areas that have benefited greatly from the advent of machine learning and deep learning. Machine learning and deep learning are discussed in this article...
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...
Small and medium-sized enterprises (SMEs) present a harder machine learning problem than either large corporate borrowers or individual consumers, for reasons the credit-risk and fraud-detection literatures document separately: SMEs are financially...
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...
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...
A great deal of terminology pertaining to AI, ML, and deep learning is utilised extensively in today's corporate, healthcare, industrial, and military lexicons. No matter the size of the data, precise prediction and analysis are of the utmost importance in...
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...
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...
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...
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...
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...
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...
The rapid advancement of machine learning (ML) has transformed industries by enabling sophisticated data-driven decision-making, yet it has also introduced critical ethical challenges. Ethical data governance frameworks are essential to ensure that ML...
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...
Prison violence presents a serious challenge to inmate and staff safety, necessitating advanced predictive analytics for effective prevention. Traditional reactive security measures have proven inadequate, highlighting the need for artificial intelligence...
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...
Cash-flow failure, not unprofitability, is the proximate cause of most small-business closures: cash-flow problems are cited as a contributing factor in roughly 82% of U.S. small-business failures, and 49% of small businesses reported a cash-flow problem...
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...
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,...
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...
Artificial Intelligence (AI) is rapidly transforming modern healthcare, biomedical research, and pharmaceutical development by enabling the analysis of large and complex datasets. AI technologies, including machine learning (ML), natural language processing...
Multi-tenant cloud computing scenarios have a high level of security risks because tenants share the same hardware and network. Control of data privacy, access to resources and isolation of these resources pose a significant challenge. Therefore, the...
The multidisciplinary subject of quantum computing has recently grown and attracted a lot of attention from academics and businesses alike because of the novel ways it can handle data, which opens the door to computational capabilities that were previously...
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...
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...
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.
