Author

A. Fadlil

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Open access 2026

Semi-Supervised Rice Leaf Disease and Pest Classification Using IoT Field Images

Rice is a vital crop for global food security, but its productivity is frequently threatened by diseases and pests, necessitating rapid and accurate detection. This study presents a semi-supervised deep learning approach to automate the classification of ten categories of rice leaf conditions, including seven diseases,...

Abdul Azis, A. Fadlil, Tole Sutikno · International Journal of Adv... · 0 citations

Open access Sep 2026

Development of an Integrated IoT-based Monitoring System for a Three-Phase Induction Motor Using ESP32 and Industrial Power Meter

Three-phase induction motors are essential in industrial systems and require continuous condition monitoring to improve operational reliability and reduce unexpected downtime. However, many Internets of Things (IoT)-based monitoring systems focus on data acquisition without quantitatively validating communication perfo...

Nandar Nandar, A. Fadlil, Tole Sutikno · Journal of Electrical Engine... · 0 citations

Open access Aug 2026

Vision Transformer-Based Recognition of Riau Malay Architectural Features with Cross-Regional Comparison for Digital Heritage Documentation

This study evaluates a Vision Transformer model initialised with ImageNet-1K pretrained weights for recognising Riau Malay architectural features, using Pontianak Malay architecture for cross-regional comparison to demonstrate ViT-B/16’s strong potential to support the digital recognition of Malay architectural heritag...

Heri Pramono, Sri Winiarti, A. Fadlil et al. · Journal of Artificial Intell... · 0 citations