FMDB Transactions on Sustainable Environmental Sciences
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Fernando Martins De Bulhão is a member of
FMDB Transactions on Sustainable Environmental Sciences
2026
Vol.3
No.2
eISSN: 2998-8446
Editor: S. Silvia Priscila
| Pages | Title and author(s) |
|---|---|
| 54-70 | A Systematic Comparative Analysis of Data Preprocessing Strategies for Water Quality Safety Classification K. B. Susha, H. Jayamangala Keywords: Water Quality Classification; Data Preprocessing; Machine Learning; Feature Selection; Data Imputation; Water Potability Prediction; Environmental Monitoring. DOI: 10.69888/FTSESS.2026.000714 |
| 71-81 | Predictive Cloud Engineering Architecture for Sustainable Resource Coordination in Distributed Digital Environments Jeyakumar Ramachandran Keywords: Cloud Engineering; Sustainable Computing; Resource Coordination; Predictive Analytics; Distributed Systems; Digital Transformation; Dynamic Scaling Protocols; Sustainability Goals. DOI: 10.69888/FTSESS.2026.000715 |
| 82-91 | A Hybrid Deep Learning and Explainable AI Framework for Adaptive Crop Recommendation Using Multimodal IoT Data N. Anand, Edwin Shalom Soji Keywords: Precision Agriculture; Deep Learning; Explainable AI; Multimodal Sensors; IoT Sensors; CNN and RNN; Visualisation Platforms; Crop Recommendations; Climatic Conditions. DOI: 10.69888/FTSESS.2026.000716 |
| 92-102 | An AI-Powered Framework for Smart Waste Segregation Using Deep Learning and Computer Vision Jayasri Jonnalagadda, R. Vinoth, K. Riya, V. Monisha, M. Gandhi, Fatima Hamouche Keywords: Artificial Intelligence; Waste Segregation; Deep Learning; Computer Vision; Convolutional Neural Networks; Transfer Learning; IoT Monitoring; Image Classification; Automation Systems. DOI: 10.69888/FTSESS.2026.000717 |
| 103-122 | Advanced Predictive Analytics for Global Food Waste, Environmental Conservation and Sustainable Resource Management Varsha Ramkumar, S. Rubin Bose, J. Angelin Jeba, R. Regin, S. Suman Rajest Keywords: Resilient Food Chain; Economic Loss; Total Food Waste Prediction; Linear Regression; Random Forest; Ensemble Learning; Non-Linear Relationships; Prediction Accuracy; Quantum Machine Learning. DOI: 10.69888/FTSESS.2026.000718 |