(Available since 20/02/2026)

This issue presents a collection of research articles that demonstrate the application of machine learning, intelligent systems, web-based technologies, Geographic Information Systems (GIS), and Internet of Things (IoT) in addressing real-world problems in healthcare, agriculture, environmental monitoring, industry, and network management. The published studies include poverty mapping using K-Means and web-based GIS, diabetes mellitus classification using the K-Nearest Neighbors (KNN) algorithm, and a comparison of Fuzzy Tsukamoto and Certainty Factor methods for diagnosing depression levels. Additional contributions focus on the design and development of web-based flood-prone area mapping systems, monitoring and prediction systems for product returns, and IoT-based bird repellent monitoring devices in agriculture. This issue also features network monitoring using SNMP with Cacti and Telegram notifications, as well as paprika leaf disease classification using MobileNetV2-based deep learning and image augmentation. Overall, these articles highlight the importance of intelligent computational methods and modern information technologies in improving monitoring, prediction, classification, and decision-making processes across multiple domains.

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