Teran, Aondonenge Dickson DOI: 10.5281/zenodo.22520946 SSR Journal of Artificial Intelligence (SSRJAI) This study explores the integration of Artificial Intelligence (AI) in teaching and learning Smart Agricultural Economics, examining its impact on student engagement, learning outcomes, and educational efficiency. A mixed-methods Read More …
Category: SSR Journal of Artificial Intelligence
AI-Driven Query Optimization Techniques as a Predictor of Database Systems Performance among Database Administrators in Federal Universities in South-South, Nigeria
Peace A. Frank & Pius John Bassey DOI: 10.5281/zenodo.22229505 SSR Journal of Artificial Intelligence (SSRJAI) The purpose of this study was to determine the influence of influence of AI-driven query optimization techniques as predictors of database systems performance among Database Read More …
Enhancing Nonalcoholic Fatty Liver Disease (NAFLD) Detection: AI-Enhanced Ultrasound Validation and Performance Improvement
Linus Mathias1, Giliki Jerison2 and Ishaku Kpapisom3 DOI: 10.5281/zenodo.22091730 SSR Journal of Artificial Intelligence (SSRJAI) Nonalcoholic Fatty Liver Disease (NAFLD) is one of the most common chronic liver diseases worldwide and is strongly associated with obesity, type 2 diabetes mellitus, Read More …
An Adaptive Quantum-Resilient Self-Sovereign Identity (AQR-SSI) Framework Using Blockchain, Zero-Knowledge Proofs, and Explainable AI for Secure Electronic Health Records Sharing
Peter Wonah Odey, Abdulazeez Ogunlade Babatunde and Myedan Nahum Eli DOI: 10.5281/zenodo.21967154 SSR Journal of Artificial Intelligence (SSRJAI) The digitization of Electronic Health Records (EHRs) has significantly improved care coordination, but has concurrently aggregated highly sensitive identity and clinical access Read More …
Adversarially Robust Intrusion Detection in Software-Defined Networks Using a Resilient Adversarial Deep Neural Network with Stochastic Gradient Langevin Dynamics
Aisha Lawal Yusuf1, Uche M. Mbanaso2, Makinde Julius3, Garba S. Abdullahi4 DOI: 10.5281/zenodo.21916729 SSR Journal of Artificial Intelligence (SSRJAI) Software-Defined Networking (SDN) has transformed network management by separating the control plane from the data plane, thereby improving flexibility, programmability, and Read More …
Federated Gradient Boosting for IOT Intrusion Detection: A Non-IID Evaluation of LightGBM and XGBoost under Manual FedAvg on TON_IoT
Gilbert Imuetinyan Osaze Aimufua & Salma Muhammad Abidi DOI: 10.5281/zenodo.21915999 SSR Journal of Artificial Intelligence (SSRJAI) IOT deployments expose distributed edge devices to a widening range of network intrusion threats, yet centralised intrusion detection systems conflict with data sovereignty constraints Read More …
Federated Learning for Privacy-Preserving Threat Detection in Massive IOT Ecosystems: A Systematic Literature Review
Peter Wonah Odey, Habibu Danjuma, Muhammad Salma Abidi DOI: 10.5281/zenodo.21901804 SSR Journal of Artificial Intelligence (SSRJAI) Federated learning (FL) has emerged as a principal architecture for privacy-preserving intrusion detection in Internet of Things (IOT) environments, motivated by the impossibility of Read More …
Fine-Grained Propaganda Detection for Hausa: Systematic Review of Resources, Methods, and Future Directions
Abdulhamid Abubakar1, Gilbert I. O. Aimufua2, Muhammed A. Abubakar3 DOI: 10.5281/zenodo.21848915 SSR Journal of Artificial Intelligence (SSRJAI) The proliferation of propaganda through digital platforms threatens information integrity globally. Computational tools for fine-grained persuasion technique detection remain concentrated on English and Read More …
From Confounded Signals to Causal Affect: Proximal Inference with Hybrid Deep Learning for Wearable Emotion Recognition in Precision Mental Health
Nurudeen Jibrin¹, Gilbert I. O. Aimufua², Chaku E. Shammah³ DOI: 10.5281/zenodo.21848717 SSR Journal of Artificial Intelligence (SSRJAI) Emotion recognition from wearable physiological sensors is fundamentally challenged by latent confounders. Physical activity, individual physiological variability, and environmental noise obscure genuine affective Read More …
Explainable AI for Multi-Modal Insider Threat Detection: A CNN-LSTM-Autoencoder Framework with SHAP-LIME Comparative Analysis
Onoja Sunday Onoja1, Gilbert I.O Aimufua2 DOI: 10.5281/zenodo.21787748 SSR Journal of Artificial Intelligence (SSRJAI) Insider threat is one of the most malevolent and catastrophic categories of failures in the security of the world’s financial infrastructure, and this is magnified exponentially Read More …
