Early-warning models for small and medium-sized enterprise (SME) loan distress are usually evaluated within a single lending institution, where apparently strong discrimination may reflect local portfolio composition, underwriting policy, and...
Enterprise data platforms increasingly embed artificial-intelligence inference directly inside their real-time stream-processing pipelines, scoring, classifying, or enriching records within the same low-latency path that ingests and transforms them, rather...
Ensemble learning has become a default choice for breast-cancer prediction from cytological features, but combining multiple models raises a specific concern for clinical decision support: a prediction assembled from several classifiers can be harder to...
The intersection of artificial intelligence, genetic information, and health research presents complex ethical dilemmas that challenge existing data protection frameworks, including the European General Data Protection Regulation. This article examines the...
AI agent systems capable of autonomous operation in enterprise environments are swiftly evolving from research prototypes to production implementations. These technologies acquire ambient credentials, function non-deterministically, and lack standardised...
Background. A supervisory control and data acquisition (SCADA) network for a water-treatment plant carries sensor and control traffic that is overwhelmingly routine, so a rare false-data-injection attack, in which falsified sensor readings or forged control...
Explainable machine learning on cytological features is a promising route to reliable, interpretable breast-cancer diagnosis from fine-needle aspiration (FNA). Building on the comparative analysis of explainable models for cancer classification using...
Financial institutions typically operate several families of machine-learning models side by side credit-scoring models, fraud-detection models, and early-warning models for portfolio or counterparty distress each evaluated on its own native performance...
The transformative potential of artificial intelligence in healthcare has generated substantial enthusiasm among researchers, clinicians, and policymakers. AI applications in diagnosis, treatment, monitoring, and research promise significant benefits for...
The use of conversational AI has enhanced service efficiency within the worldwide baking sector. This research seeks to examine the role of AI-powered virtual assistants in enhancing customer service efficiency and satisfaction within the banking industry....
INTRODUCTION International Journal of Acta Informatica (IJAI) is a fully open-access, international journal that provides academia...
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