SEDI NZAKUNA, PIERRE
SEDI NZAKUNA, PIERRE
Dipartimento di Ingegneria Industriale/DIIN
Empirical Analysis of the IOTA Tangle Ledger in the Stardust Stage
2024 Sedi Nzakuna, Pierre; Paciello, V.; Lay-Ekuakille, A.; Lusala, A. K.; Dello Iacono, S.
Enhancing Sentiment-Driven Recommender Systems With LLM-Based Feature Engineering: A Case Study in Drug Review Analysis
2025 Matia Kangoni, S.; Tshimanga Tshipata, O.; Sedi Nzakuna, P.; Paciello, V.; Mbula Mboma, J. -G.; Makulo, J. -R.; Kyamakya, K.
Evaluation of the Impact of Photovoltaic Solar Power Plant Integration into the Grid: A Case Study of the Western Transmission Network in the Democratic Republic of Congo
2025 Kiangebeni Lusimbakio, K.; Boketsu Lokanga, T.; Sedi Nzakuna, P.; Paciello, V.; Nzuru Nsekere, J. -P.; Tshimanga Tshipata, O.
Evaluation of TOPSIS Algorithm for Multi-Criteria Handover in LEO Satellite Networks: A Sensitivity Analysis
2025 Buhinyori Ngango, P.; Lufua Binda, M. L.; Matalatala Tamasala, M.; Sedi Nzakuna, P.; Paciello, V.; Kuti Lusala, A.
From IOTA Tangle 2.0 to Rebased: A Comparative Analysis of Decentralization, Scalability, and Suitability for IoT Applications
2025 Sedi Nzakuna, P.; Paciello, V.; Lay-Ekuakille, A.; Kuti Lusala, A.; Dello Iacono, S.; Pietrosanto, Antonio
FT-DropBlock: A Novel Approach for Spatiotemporal Regularization in EEG-based Convolutional Neural Networks
2025 Sedi Nzakuna, Pierre; Paciello, V.; Gallo, V.; Lay-Ekuakille, A.; Lusala, A. K.
Learned-Weight Ensemble Monte Carlo DropBlock for Uncertainty Estimation and EEG Classification
2025 Sedi Nzakuna, P.; Gallo, V.; Carratu', M.; Paciello, V.; Pietrosanto, A.; Lay-Ekuakille, A.
Monte Carlo-Based Strategy for Assessing the Impact of EEG Data Uncertainty on Confidence in Convolutional Neural Network Classification
2025 SEDI NZAKUNA, Pierre; Gallo, V.; Paciello, V.; Lay-Ekuakille, A.; Lusala, A. K.
Real-world evaluation of deep learning decoders for motor imagery EEG-based BCIs
2025 Nzakuna, Pierre; D'Auria, E; Paciello, V; Gallo, V; Kamavuako, En; Lay-Ekuakille, A; Kyamakya, K
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Empirical Analysis of the IOTA Tangle Ledger in the Stardust Stage | 1-gen-2024 | Sedi Nzakuna, Pierre; Paciello, V.; Lay-Ekuakille, A.; Lusala, A. K.; Dello Iacono, S. | |
| Enhancing Sentiment-Driven Recommender Systems With LLM-Based Feature Engineering: A Case Study in Drug Review Analysis | 1-gen-2025 | Matia Kangoni, S.; Tshimanga Tshipata, O.; Sedi Nzakuna, P.; Paciello, V.; Mbula Mboma, J. -G.; Makulo, J. -R.; Kyamakya, K. | |
| Evaluation of the Impact of Photovoltaic Solar Power Plant Integration into the Grid: A Case Study of the Western Transmission Network in the Democratic Republic of Congo | 1-gen-2025 | Kiangebeni Lusimbakio, K.; Boketsu Lokanga, T.; Sedi Nzakuna, P.; Paciello, V.; Nzuru Nsekere, J. -P.; Tshimanga Tshipata, O. | |
| Evaluation of TOPSIS Algorithm for Multi-Criteria Handover in LEO Satellite Networks: A Sensitivity Analysis | 1-gen-2025 | Buhinyori Ngango, P.; Lufua Binda, M. L.; Matalatala Tamasala, M.; Sedi Nzakuna, P.; Paciello, V.; Kuti Lusala, A. | |
| From IOTA Tangle 2.0 to Rebased: A Comparative Analysis of Decentralization, Scalability, and Suitability for IoT Applications | 1-gen-2025 | Sedi Nzakuna, P.; Paciello, V.; Lay-Ekuakille, A.; Kuti Lusala, A.; Dello Iacono, S.; Pietrosanto, Antonio | |
| FT-DropBlock: A Novel Approach for Spatiotemporal Regularization in EEG-based Convolutional Neural Networks | 1-gen-2025 | Sedi Nzakuna, Pierre; Paciello, V.; Gallo, V.; Lay-Ekuakille, A.; Lusala, A. K. | |
| Learned-Weight Ensemble Monte Carlo DropBlock for Uncertainty Estimation and EEG Classification | 1-gen-2025 | Sedi Nzakuna, P.; Gallo, V.; Carratu', M.; Paciello, V.; Pietrosanto, A.; Lay-Ekuakille, A. | |
| Monte Carlo-Based Strategy for Assessing the Impact of EEG Data Uncertainty on Confidence in Convolutional Neural Network Classification | 1-gen-2025 | SEDI NZAKUNA, Pierre; Gallo, V.; Paciello, V.; Lay-Ekuakille, A.; Lusala, A. K. | |
| Real-world evaluation of deep learning decoders for motor imagery EEG-based BCIs | 1-gen-2025 | Nzakuna, Pierre; D'Auria, E; Paciello, V; Gallo, V; Kamavuako, En; Lay-Ekuakille, A; Kyamakya, K |