FMDB Transactions on Sustainable Environmental Sciences
Submit Paper
Navigation
FTSESS Home- Editorial Board
- Current Issue
- Indexing
- Forthcoming Articles
- Ethical Standards and Transparency in Publishing Standards (E-STaPS)
Archives
- Vol. 3
- Vol. 2
- Vol. 1
Archiving
Fernando Martins De Bulhão is a member of
FMDB Transactions on Sustainable Environmental Sciences
2026
Vol.3
No.3
eISSN: 2998-8446
Editor: S. Silvia Priscila
| Pages | Title and author(s) |
|---|---|
| 123-132 | Enhancing Water Body Detection in Satellite Imagery: A Novel Hybrid Approach Exploiting Spectral and Reflectance Characteristics Lekshmi Kalinathan, Kumaravel Yazhini, Varsha Yeshwanth, Pranith Pandipati Keywords: Remote Sensing; Water Resource Management; Mean Absolute Error (MAE); Mean Squared Error (MSE); Spatial Aspects; Environmental Assessment; Spectral Ambiguity. DOI: 10.69888/FTSESS.2026.000784 |
| 133-142 | A Comparative Study of Machine Learning Models for Air Quality Classification Using Public Environmental Data Hlaing Htake Khaung Tin, Jaime Alfonso Flores Navas, Mika Sillanpää, Fatima Hamouche, Pareena Khadka, Samundra Pandit Keywords: Air Quality Classification; Machine Learning (ML); Environmental Data; Random Forest; Air Pollution; Environmental Monitoring; Support Vector Machine (SVM). DOI: 10.69888/FTSESS.2026.000785 |
| 143-152 | An IoT-Enabled Framework for Real-Time Air Quality Monitoring and AQI Prediction Using Machine Learning Jaime Alfonso Flores Navas, Luigi Orlando Freire Martínez, Sara Toumi, Moustafa Adel Darwish, Ahmed Ali Qameeh, Rajyalakshmi Pulicherla Keywords: Air Quality Index (AQI); Machine Learning (ML); Random Forest; Internet of Things (IoT); Air Quality Monitoring; Wind Speed; Air Pollution; Sensor Information. DOI: 10.69888/FTSESS.2026.000786 |
| 153-164 | Enhancing Long-Term Climate Prediction Through Probabilistic Learning of Simulation Discrepancies K. Srinarayani, Jaffarhameed Abdulkatherjilani, Kumaran Subramaniam, Lee Do-Hyun, Chen Po-Yu, Basant Kumar Keywords: Climate Simulation; Probabilistic Machine Learning; Long-Term Weather Statistics; Probabilistic Neural Network; Initial Simulation System; Neural Network Architecture. DOI: 10.69888/FTSESS.2026.000787 |
| 165-183 | Developing Machine Learning Algorithms for Analyzing Magnetic Survey Data in Landmine Detection: From Measurement to Prediction Mark Benjamin Kuhne, Jamila Shaaban Ebrahim, Jouma Ali Al-Mohamad, Ennouni Assia, Mihiro Otaki, Cheang Chi Seng Keywords: Machine Learning (ML); Magnetic Survey; Landmine Detection; UXO Classification; Convolutional Neural Networks (CNNs); Support Vector Machines (SVMs); Humanitarian Demining. DOI: 10.69888/FTSESS.2026.000788 |