Volume 8, Number 4 (October 2026)
This issue of the Journal of Computer Networks, Architecture and High Performance Computing presents seven research articles addressing practical challenges in artificial intelligence, machine learning, predictive analytics, information systems, and decision support.
The published studies cover reproducible ranking in gamified peer assessment, no-code KPI dashboard development, academic risk classification using Random Forest and SHAP, spatiotemporal forecasting of medical device sales using hybrid LSTM–GNN, inventory expiration risk monitoring, Android-based notarial document management, and forecast-driven doctor scheduling.
Together, these contributions highlight the application of computational methods to real-world problems across education, healthcare, business operations, and public services. The issue emphasizes model evaluation, system development, and evidence-based decision support, reflecting the journal's commitment to advancing applied research in computing and information technology.
Journal Of Computer Networks, Architecture and High Performance Computing is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License(CC-BY-NC-SA 4.0).
Acceptance Rate: 50%
