[HTML][HTML] Predicting the Duration of Forest Fires Using Machine Learning Methods

C Kopitsa, IG Tsoulos, V Charilogis, A Stavrakoudis - Future Internet, 2024 - mdpi.com
For thousands of years forest fires played the role of a regulator in the ecosystem. Forest
fires contributed to the ecological balance by destroying old and diseased plant material; but …

Klasifikasi Kebakaran Hutan Riau Menggunakan Random Forest dan Visualisasi Citra Sentinel-2

A Efendi, I Iskandar, R Kurniawan… - KLIK: Kajian Ilmiah …, 2023 - djournals.com
Abstract In September 2019, Riau was severely affected by hazardous haze, impacting the
health of the population and disrupting the activities of approximately 6.5 million people …

Algoritma K-Nearest Neighbor pada Kasus Dataset Imbalanced untuk Klasifikasi Kinerja Karyawan Perusahaan

F Nuraeni, D Kurniadi, MH Diazki - Jurnal Teknologi Informasi dan Ilmu …, 2024 - jtiik.ub.ac.id
Perusahaan perlu menilai kinerja karyawan mereka untuk berbagai tujuan, termasuk
promosi jabatan. Namun, data karyawan yang semakin rumit dapat membuat proses …

Enhanced Financial Performance Classification Using an Improved ID3 Algorithm with Decision Coherence

W Pei, WA Pan, JC Huang - Informatica, 2024 - informatica.si
The evaluation of enterprise financial performance is of great significance to investors,
creditors and managers. Through the performance evaluation, we can judge the …

The Effectiveness of Methods Designed to Predict Forest Fire Risk: A Comparison of Machine Learning Algorithms

S Zhang, M Pan - Journal of Agriculture and Forestry, 2024 - isciencegroup.com
Forest fires represent a global environmental issue, posing severe threats to ecosystems,
economic development, and social security. Accurate prediction of forest fires is crucial for …