Precision agriculture requires automated, high-resolution soil health diagnostics to optimize irrigation schedules, fertilizer management, and overall crop productivity. Conventional laboratory soil testing methods are labor-intensive, costly, and lack real-time spatial accessibility. This paper presents an integrated...
Abdul Azim bin Abdul Rashid, Muhammad Asri bin Muhamad Khidzi, Jack Febrian Rusdi et al.· International journal of res...· 0 citations
The foreign exchange market is highly volatile and complex, making accurate price prediction challenging. This study aims to develop an optimized deep learning framework for predicting daily closing prices of seven major currency pairs (AUDUSD, EURUSD, GBPUSD, USDCAD, USDCHF, USDCNY, and USDJPY) by integrating Bidirect...
F. Alqodri, Triyanna Widiyaningtyas, Didik Dwi Prasetya· Matrik· 0 citations
Class imbalance in Internet of Things (IoT) Intrusion Detection System (IDS) datasets is a major challenge that degrades the detection performance on minority attacks and complicates model interpretability. This study investigates the performance of an IoT IDS based on Random Forest (RF) combined with the Synthetic Min...
Julfikar Mawansyah, Anik Nur Handayani, A. Wibawa et al.· Jurnal Elektronika dan Telek...· 0 citations
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