Results show that computationally efficient and interpretable ensembles provide a viable alternative to more complex models, particularly in data-constrained clinical settings, and highlight the potential of interpretable ensemble learning to develop dependable, deployable clinical decision support tools for integratio...
Panji Arisaputra, Pandu Wicaksono, Karli Eka Setiawan et al.· 0 citations
Water scarcity and inefficient irrigation management present ongoing challenges for sustainable agricultural practice. This paper presents the design and implementation of an Internet of Things (IoT)-based smart irrigation system integrating DHT11 temperature-humidity sensors, capacitive soil moisture sensors, an ESP32...
Sheraldo Halim, D. N. Utama, Pandu Wicaksono· International Conference on...· 0 citations
As financial fraud becomes increasingly sophisticated, the demand for complex machine learning models has surged, inadvertently leading to a significant increase in computational energy consumption. This study addresses the critical trade-off between predictive accuracy and environmental sustainability within a Green A...
Ebenhaezer George Renaldi Muljadi, Albert Justin, F. Ardan et al.· 2026 11th International Conf...· 0 citations
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