FMDB Transactions on Sustainable Intelligent Networks
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Fernando Martins De Bulhão is a member of
FMDB Transactions on Sustainable Intelligent Networks
2026
Vol.3
No.2
eISSN: 2998-8810
Editor: Leo Willyanto Santoso
| Pages | Title and author(s) |
|---|---|
| 65-74 | An Edge-AI Enabled IoT Framework for Real-Time Monitoring and Decision Support in Precision Agriculture Anishbhai Vahora, Safvan Vahora Keywords: Precision Agriculture; Edge Computing; Artificial Intelligence; Internet of Things; Real-Time Monitoring; Decision-Making Process; Farming Recommendations; Cloud AI System. DOI: 10.69888/FTSIN.2026.000704 |
| 75-84 | Deepfake Guard-VisionX: A GAN-Driven Deep Learning Framework for Fake Video Detection and Key Scene Extraction Using Spatio-Temporal Analysis A. Kalki Prasad, D. Hemavathi Keywords: Deepfake Detection; Video Forgery; Computer Vision; Convolutional Neural Networks; Artificial Intelligence; Digital Media Forensics; Video Analysis; Spatial Feature Extraction; Multimedia Security; Authenticity Verification. DOI: 10.69888/FTSIN.2026.000705 |
| 85-112 | Comparative Evaluation of Naive Bayes, SVM, KNN, Random Forest, and XGBoost for Malware Classification Hamza Amir Saeed Keywords: Machine Learning (ML); Naive Bayes; Support Vector Machine (SVM); K-Nearest Neighbours (KNNs); Random Forest (RF); Malware Classification; Opcode Features. DOI: 10.69888/FTSIN.2026.000706 |
| 113-123 | Impact of Current Transformer Saturation in Bus-Zone Protection Power Transmission Network Swakantik Mishra, Mohammad Ahmad Keywords: Current Transformer (CT); Core Saturation; Power Transmission; Compensation Algorithms; Primary Tools; Internal Faults; Electromagnetic Transient; Comprehensive Dataset. DOI: 10.69888/FTSIN.2026.000707 |
| 124-136 | Dense Pixel Labelling of Road Scenes Using a Deep Supervised Encoder-Decoder Network with ResNet101 S. Vaenkatakrishnan, N. Sankar Ram, M. Siva Subramanian, B. Sai Saran, R. Vinoth, K. Daniel Jasper Keywords: Semantic Segmentation; Autonomous Navigation; Deep Learning (DL); Urban Street Images; Flask Application; Training Convergence; Data Augmentation; Urban Driving. DOI: 10.69888/FTSIN.2026.000708 |