output
20202026
most citedDesigning and Implementing e-School Systems: An Information Systems Approach to School Management of a Community College in Northern Mindanao, Philippines

19 citations

10 papers

cs.SE2026

When Web Apps Heal Themselves: A MAPE-K Based Approach to Fault Tolerance and Adaptive Recovery

Sales Aribe, Rov Japheth Oracion

Ensuring the reliability and resilience of modern web applications remains a critical challenge due to increasing system complexity and dynamic runtime environments. This study pro…

cs.CV2025★ 2 cited

A Hybrid Deep Learning and Forensic Approach for Robust Deepfake Detection

Sales Aribe

The rapid evolution of generative adversarial networks (GANs) and diffusion models has made synthetic media increasingly realistic, raising societal concerns around misinformation,…

cs.CY2025★ 1 cited

AI Governance in Higher Education: A course design exploring regulatory, ethical and practical considerations

Raphaël Weuts, Johannes Bleher, Hannah Bleher +4

As artificial intelligence (AI) systems permeate critical sectors, the need for professionals who can address ethical, legal and governance challenges has become urgent. Current AI…

cs.HC2024★ 9 cited

Smart Water Irrigation for Rice Farming through the Internet of Things

Regie Porras Binayao, Paul Vincent Lagapa Mantua, Holy Rose May Pardillo Namocatcat +4

This study intends to build smart water irrigation for rice farming using IoT and microcontroller devices with solar panel support. The system demonstrates the capabilities of auto…

cs.NE2024★ 6 cited

Time Series Forecasting of HIV/AIDS in the Philippines Using Deep Learning: Does COVID-19 Epidemic Matter?

Sales G. Aribe, Bobby D. Gerardo, Ruji P. Medina

With a 676% growth rate in HIV incidence between 2010 and 2021, the HIV/AIDS epidemic in the Philippines is the one that is spreading the quickest in the western Pacific. Although…

cs.NE2024★ 6 cited

Improved Forecasting Using a PSO-RDV Framework to Enhance Artificial Neural Network

Sales Aribe

Decision making and planning have long relied heavily on AI-driven forecasts. The government and the general public are working to minimize the risks while maximizing benefits in t…