References
Abass, O.S., Balogun, O. & Didi, P.U., 2020. A Sentiment-Driven Churn Management Framework Using CRM Text Mining and Performance Dashboards. IRE Journals, 4(5), pp.251–259. Abass, O.S., Balogun, O. & Didi, P.U., 2019. A Predictive Analytics Framework for Optimizing Preventive Healthcare Sales and Engagement Outcomes. IRE Journals, 2(11), pp.497- 505. DOI: 10.47191/ire/v2i11.1710068 Abass, O.S., Balogun, O. & Didi, P.U., 2020. A Multi-Channel Sales Optimization Model for Expanding Broadband Access in Emerging Urban Markets. IRE Journals, 4(3), pp.191- 200. ISSN: 2456-8880. Adebiyi, F. M., Akinola, A. S., Santoro, A., & Mastrolitti, S. (2017). Chemical analysis of resin fraction of Nigerian bitumen for organic and trace metal compositions. Petroleum Science and Technology, 35(13), 1370-1380. Adenuga, T., Ayobami, A.T. & Okolo, F.C., 2019. Laying the Groundwork for Predictive Workforce Planning Through Strategic Data Analytics and Talent Modeling. IRE Journals, 3(3), pp.159–161. ISSN: 2456-8880. Adenuga, T., Ayobami, A.T. & Okolo, F.C., 2020. AI-Driven Workforce Forecasting for Peak Planning and Disruption Resilience in Global Logistics and Supply Networks. International Journal of Multidisciplinary Research and Growth Evaluation, 2(2), pp.71– 87. Available at: https://doi.org/10.54660/.IJMRGE.2020.1.2.71-87. Ahmed, M., Mahmood, A. N., & Hu, J. (2016). A survey of network anomaly detection techniques. Journal of Network and Computer Applications, 60, 19–31. Ahmed, M., Mahmood, A. N., & Hu, J. (2016). A survey of network anomaly detection. Journal of Network and Computer Applications, 60, 19–31. Akinola, A. S., Adebiyi, F. M., Santoro, A., & Mastrolitti, S. (2018). Study of resin fraction of Nigerian crude oil using spectroscopic/spectrometric analytical techniques. Petroleum Science and Technology, 36(6), 429-436. ALAO, O. B., NWOKOCHA, G. C., & MORENIKE, O. (2019). Supplier Collaboration Models for Process Innovation and Competitive Advantage in Industrial Procurement and Manufacturing Operations. Int J Innov Manag, 16, 17. ALAO, O. B., NWOKOCHA, G. C., & MORENIKE, O. (2019). Vendor Onboarding and Capability Development Framework to Strengthen Emerging Market Supply Chain Performance and Compliance. Int J Innov Manag, 16, 17. Allamanis, M., Barr, E., Bird, C., & Sutton, C. (2018). A survey of ML for systems architecture. ACM Computing Surveys, 51(4), 1–45. Almorsy, M., Grundy, J., & Müller, I. (2016). An analysis of security challenges in cloud environments: compliance implications. ACM Computing Surveys, 48(1), 1–42. Amarasinghe, K., Manic, M. (2018). Explosive event detection using deep neural networks. IEEE Transactions on Industrial Electronics, 65(5), 4392–4402. Amarasinghe, K., Wu, Y., & Ralston, J. (2018). Toward explainable deep neural anomaly detection. IEEE Transactions on Emerging Topics in Computational Intelligence, 3(2), 127–138. Amiri, M., & Mohammadpoor, M. (2018). Intelligent incident response challenges. Computers & Security, 73, 181–197. Amodei, D., & Olah, C. (2016). Concrete problems in AI safety. arXiv:1606.06565. https://arxiv.org/abs/1606.06565 Arulkumaran, K., Deisenroth, M., Brundage, M., & Bharath, A. (2017). Deep reinforcement learning: A survey. IEEE Signal Processing Magazine, 34(6), 26–38. Asata M.N., Nyangoma D., & Okolo C.H., 2020. Strategic Communication for Inflight Teams: Closing Expectation Gaps in Passenger Experience Delivery. International Journal of Multidisciplinary Research and Growth Evaluation, 1(1), pp.183–194. DOI: https://doi.org/10.54660/.IJMRGE.2020.1.1.183-194. Asata, M. N., Nyangoma, D., & Okolo, C. H. (2020). Leadership impact on cabin crew compliance and passenger satisfaction in civil aviation. IRE Journals, 4(3), 153–161. Asata, M.N., Nyangoma, D. & Okolo, C.H., 2020. Benchmarking Safety Briefing Efficacy in Crew Operations: A Mixed-Methods Approach. IRE Journal, 4(4), pp.310–312. DOI: Atobatele, O. K., Ajayi, O. O., Hungbo, A. Q., & Adeyemi, C. (2019). Leveraging Public Health Informatics to Strengthen Monitoring and Evaluation of Global Health Interventions. IRE Journals, 2(7), 174–182. https://irejournals.com/formatedpaper/1710078 Atobatele, O. K., Hungbo, A. Q., & Adeyemi, C. (2019). Digital health technologies and real- time surveillance systems: Transforming public health emergency preparedness through data-driven decision making. IRE Journals, 3(9), 417–421. https://irejournals.com (ISSN: 2456-8880) Atobatele, O. K., Hungbo, A. Q., & Adeyemi, C. (2019). Evaluating the Strategic Role of Economic Research in Supporting Financial Policy Decisions and Market Performance Metrics. IRE Journals, 2(10), 442–450. https://irejournals.com/formatedpaper/1710100 Atobatele, O. K., Hungbo, A. Q., & Adeyemi, C. (2019). Leveraging big data analytics for population health management: A comparative analysis of predictive modeling approaches in chronic disease prevention and healthcare resource optimization. IRE Journals, 3(4), 370–375. https://irejournals.com (ISSN: 2456-8880) Ayanbode, N., Cadet, E., Etim, E. D., Essien, I. A., & Ajayi, J. O. (2019). Deep learning approaches for malware detection in large-scale networks. IRE Journals, 3(1), 483–502. ISSN: 2456-8880 Babatunde, L. A., Etim, E. D., Essien, I. A., Cadet, E., Ajayi, J. O., Erigha, E. D., & Obuse, E. (2020). Adversarial machine learning in cybersecurity: Vulnerabilities and defense strategies. Journal of Frontiers in Multidisciplinary Research, 1(2), 31–45. https://doi.org/10.54660/.JFMR.2020.1.2.31-45 Balogun, O., Abass, O.S. & Didi P.U., 2019. A Multi-Stage Brand Repositioning Framework for Regulated FMCG Markets in Sub-Saharan Africa. IRE Journals, 2(8), pp.236–242. Balogun, O., Abass, O.S. & Didi P.U., 2020. A Behavioral Conversion Model for Driving Tobacco Harm Reduction Through Consumer Switching Campaigns. IRE Journals, 4(2), pp.348–355. Balogun, O., Abass, O.S. & Didi P.U., 2020. A Market-Sensitive Flavor Innovation Strategy for E-Cigarette Product Development in Youth-Oriented Economies. IRE Journals, 3(12), pp.395–402. Bankole, F. A., & Lateefat, T. (2019). Strategic cost forecasting framework for SaaS companies to improve budget accuracy and operational efficiency. IRE Journals, 2(10), 421-432. Bankole, F. A., Davidor, S., Dako, O. F., Nwachukwu, P. S., & Lateefat, T. (2020). The venture debt financing conceptual framework for value creation in high-technology firms. Iconic Res Eng J, 4(6), 284-309. BAYEROJU, O. F., SANUSI, A. N., QUEEN, Z., & NWOKEDIEGWU, S. (2019). Bio-Based Materials for Construction: A Global Review of Sustainable Infrastructure Practices. Bourque, P., & Fairley, R. E. (2016). Guide to the Software Engineering Body of Knowledge . IEEE Computer Society. Braun, T., Schmid, M., & Bichsel, P. (2019). NLP-driven log parsing for anomaly detection in cloud environments. ACM Transactions on Intelligent Systems and Technology, 10(6), 1– 19. Breck, E., Polyzotis, N., Roy, S., Whang, S., & Zinkevich, M. (2017). Data validation for ML pipelines. SysML. Brewer, R. (2016). A comparison of manual and automated cybersecurity incident response. Computers & Security, 55, 1–17. Brown, G., & Gharavian, E. (2019). Anomaly detection in high-dimensional systems using deep generative models. IEEE Transactions on Neural Networks and Learning Systems, 30(9), 2762–2775. Brun, Y., Di Stefano, A., Schaerf, A., & Zhang, Y. (2019). Distributed deep learning approaches for large-scale anomaly detection. Journal of Systems and Software, 158, 110–124. Buczak, A. L., & Guven, E. (2017). Machine learning in cybersecurity. IEEE Communications Surveys & Tutorials, 18(2), 1153–1176. Bukhari, T. T., Oladimeji, O., Etim, E. D., & Ajayi, J. O. (2020). Advancing data culture in West Africa: A community-oriented framework for mentorship and job creation. International Journal of Management, Finance and Development, 1(2), 1–18. https://doi.org/10.54660/IJMFD.2020.1.2.01-18 (P-ISSN: 3051-3618 Bukhari, T.T., Oladimeji, O., Etim, E.D. & Ajayi, J.O., 2018. A Con