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Menampilkan 1–2 dari 2 artikel
Enhanced Air Quality Prediction Using AI: A Comparative Study of GRU, CNN, and XGBoost Models
Kayam Saikumar
; Munugapati Bhavana
; Rayudu Prasanthi
; Singaraju Suguna Mallika
; Deepthi Kamidi
; Naveen Malik
; Kapil Joshi
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 3
(2025)
Weather monitoring is vital due to environmental changes and rising air pollution, which affects health and lifestyles. Accurate air quality prediction models are essential yet challenging due to complex weather-pollution interactions. This study employs explainable deep learning and machine learning techniques—GRU, CNN, and XGBoost—on a custom dataset of 100,000 samples with 15 features, including PM2.5, PM10, humidity, and temperature. Using SHAP for interpretability, the GRU model outperforms...
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Literature Study: Using Schoology LMS in Physics Learning at Schools in Indonesia
Radiasi: Jurnal Berkala Pendidikan Fisika
Vol 17
, No 1
(2024)
Education in Indonesia has moved towards a broader digital approach. Information and communication technology development has encouraged many schools and educational institutions to look for new ways to integrate technology into teaching. One way is by utilizing a Learning Management System (LMS). One LMS platform that is quite widely used is Schoology. This research aims to find out how Schoology is used in physics learning in schools in Indonesia. The method used in this research is Systematic...
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