FMDB Transactions on Sustainable Computer Letters
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Fernando Martins De Bulhão is a member of
FMDB Transactions on Sustainable Computer Letters
2026
Vol.4
No.3
eISSN: 2994-5305
Editor: Stefano Cirillo
| Pages | Title and author(s) |
|---|---|
| 138-150 | Interpretable and Adaptive Intrusion Detection Using SHAP-Enhanced Ensemble Learning and Feature Attribution for Next-Generation Cybersecurity Alycia Sebastian, S. Silvia Priscila, B. M. Praveen Keywords: Adaptive Learning; Cybersecurity Environments; Intrusion Detection Systems (IDS); Concept Drift; Heterogeneous Classifiers; Cyberattack Evolution; Practical Deployment; Feature Attribution; Shapley Additive Explanations (SHAP). DOI: 10.69888/FTSCL.2026.000748 |
| 151-159 | Neuro-Symbolic Machine Learning Framework for Adaptive Decision Intelligence in Distributed Smart Systems Rajesh Mannam Keywords: Neuro-Symbolic; Adaptive Intelligence; Distributed Systems; Logical Reasoning; Smart Infrastructure; Machine Learning; Symbolic Logic Engines; CLINGO Engine. DOI: 10.69888/FTSCL.2026.000749 |
| 160-168 | Dynamic Privacy Preservation Architecture for Trustworthy Autonomous Data Exchange Environments Chaitanya Bharath Somineni Keywords: Privacy Preservation; Autonomous Ecosystems; Data Exchange; Trust Architecture; Adaptive Anonymisation; Dynamic Privacy Preservation; Adaptive Anonymisation Algorithms. DOI: 10.69888/FTSCL.2026.000750 |
| 169-177 | Enhanced Crowd Counting Using Patch-Level Annotation with YOLO Deep Learning Saw Mya Nandar, Hlaing Htake Khaung Tin, Bhopendra Singh, Mykhailo Paslavskyi, Andino Maseleno, András Szeberényi Keywords: Crowd Counting; Patch-Level Annotation; Deep Learning (DL); Event Management; Real-Time Surveillance; Computer Vision; Intelligent Crowd Analysis; Smart City Monitoring. DOI: 10.69888/FTSCL.2026.000751 |
| 178-193 | A Multimodal Transformer-Based Digital Companion for Emotion-Aware Human–Computer Interaction Using Real-Time 3D Avatars A. Shyam Sundhar, J. Angelin Jeba, Varsha Ramkumar, M. Rehena Sulthana, Rejwan Bin Sulaiman, R. P. P. Ranaweera Keywords: Machine Learning (ML); Resilient Food Chain; Economic Loss; Linear Regression; Random Forest; Digital Companionship; Prediction Accuracy; Interactive Learning. DOI: 10.69888/FTSCL.2026.000752 |