Archive:: Science Discovery Artificial Intelligence:: Science Publishing Group

Volume 1, Issue 1, March 2026

Research Article

AI Adoption and Recruitment Efficiency in European Banking: A Mixed-Method Analysis

Dawid Krystian Prestini^*

Issue: Volume 1, Issue 1, March 2026

Pages: 1-6

Received: 20 August 2025

Accepted: 3 February 2026

Published: 21 February 2026

DOI: 10.11648/j.sdai.20260101.11

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Abstract: The adoption of Artificial Intelligence (AI) is reshaping recruitment processes in the European banking sector, where efficiency, accuracy, and compliance are strategic imperatives. This study investigates the extent to which AI improves recruitment efficiency, candidate selection quality, organisational outcomes, and candidate trust. Using a mixed... Show More

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Review Article

Advancing IT Competency for Digital Transformation and Learning Ecosystem Expansion: An Integrative Review and Practical Framework

Mohammed Jahed Sarwar^*

Issue: Volume 1, Issue 1, March 2026

Pages: 7-13

Received: 15 December 2025

Accepted: 24 December 2025

Published: 21 February 2026

DOI: 10.11648/j.sdai.20260101.12

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Abstract: Digital transformation has shifted from a technology modernization agenda to a capability agenda—one that depends on how effectively organizations develop, govern, and sustain IT competencies across cloud platforms, cybersecurity, data and AI, and digitally mediated learning and service ecosystems. This integrative review synthesizes peer-reviewed ... Show More

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Research Article

Performance Evaluation of Hybrid Bert Model on Code-mixed for Hausa-English Using Adapted Pre-trained Data

Ali Garba Jakwa^*, Faseki Ngozi Franscisca, Abubakar Yunusa Ahmad, Musa Ibrahim

Issue: Volume 1, Issue 1, March 2026

Pages: 14-26

Received: 8 October 2025

Accepted: 27 January 2026

Published: 21 February 2026

DOI: 10.11648/j.sdai.20260101.13

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Abstract: This research evaluates the potentials of using BERT (Bidirectional Encoder Representations from Transformers) language model on code-mixed for English-Hausa Language code-mixed using adapted pre-trained dataset. The main aim of this research was to unveil the potential benefits of using pre-trained models for handling code-mixed data to improved l... Show More

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Research Article

AI and Cloud Computing in the Energy Industry: Impact on Data Security, Scalability, and Integration Challenges

Boye Aziboledia Frederick^*

Issue: Volume 1, Issue 1, March 2026

Pages: 27-40

Received: 17 September 2025

Accepted: 21 January 2026

Published: 24 February 2026

DOI: 10.11648/j.sdai.20260101.14

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Abstract: The objective of this study is to analyze and evaluate the role of artificial intelligence (AI) and cloud computing in transforming the energy industry, with a focus on their impact on data security, scalability, and system integration. The rapid integration of these technologies is reshaping the energy industry by driving digital transformation, o... Show More

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Research Article

Applications, Benefits, and Ethical Challenges of Artificial Intelligence in Palliative Care

Velibor Bozic^*

Issue: Volume 1, Issue 1, March 2026

Pages: 41-48

Received: 10 July 2025

Accepted: 26 February 2026

Published: 9 March 2026

DOI: 10.11648/j.sdai.20260101.15

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Abstract: Artificial intelligence (AI) is increasingly recognized as a transformative force in healthcare, with growing relevance in palliative care. This article examines the clinical potential, current applications, risks, and ethical preconditions associated with AI implementation in this sensitive field. AI-driven systems enhance personalized symptom man... Show More

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Research Article

Exploring Equilibrium Perspectives Computational Mathematics Formula in Data Analytics and Artificial Intelligence Pipelines

Adeshola Raheem Kukoyi^*, Adedayo Hakeem Kukoyi

Issue: Volume 1, Issue 1, March 2026

Pages: 49-56

Received: 8 December 2025

Accepted: 22 December 2025

Published: 12 March 2026

DOI: 10.11648/j.sdai.20260101.16

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Abstract: In contemporary artificial intelligence (AI) and data analytics pipelines, phenomena such as data drift - characterized by shifts in input distributions - and model decay, defined as the progressive degradation of predictive performance due to evolving data patterns, pose significant threats to system reliability. The Kukoyi Formula, developed by A... Show More

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Research Article

Operational Security Assessment of Machine Learning Fraud Detection Systems: A Cybersecurity Perspective Using Stride, Explainability, and Anomaly Gating

Danson Gikonyo Mwarangu^*, Shem Mbandu Angolo, Boniface Mwirigi Kiula

Issue: Volume 1, Issue 1, March 2026

Pages: 57-63

Received: 9 October 2025

Accepted: 28 February 2026

Published: 12 March 2026

DOI: 10.11648/j.sdai.20260101.17

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Abstract: Machine learning (ML) enables large-scale analysis of transaction data and has become integral to financial fraud detection. Despite strong predictive performance, ML-based systems remain vulnerable to adversarial manipulation and are often insufficiently aligned with cybersecurity evaluation practices. This paper introduces an operational security... Show More

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