| Deep learning and embedding based latent factor model for collaborative recommender systems A Tegene, Q Liu, Y Gan, T Dai, H Leka, M Ayenew Applied Sciences 13 (2), 726, 2023 | 12 | 2023 |
| A hybrid cnn-lstm model for virtual machine workload forecasting in cloud data center HL Leka, Z Fengli, AT Kenea, AT Tegene, P Atandoh, NW Hundera 2021 18th International Computer Conference on Wavelet Active Media …, 2021 | 11 | 2021 |
| PSO-based ensemble meta-learning approach for cloud virtual machine resource usage prediction HL Leka, Z Fengli, AT Kenea, NW Hundera, TG Tohye, AT Tegene Symmetry 15 (3), 613, 2023 | 7 | 2023 |
| Deep learning based matrix factorization for collaborative filtering AT Tegene, Q Liu, SB Muhammed, HL Leka 2021 18th International Computer Conference on Wavelet Active Media …, 2021 | 6 | 2021 |
| Enhancing the performance of permissionless blockchain networks through randomized message-based consensus algorithm M Ayenew, H Lei, X Li, Q Weizhong, E Abeje, W Xiang, A Tegene Peer-to-Peer Networking and Applications 16 (2), 499-519, 2023 | 3 | 2023 |
| Data Analytics and Machine Learning for Reliable Energy Management: A Case Study M Ayenew, H Lei, X Li, K Kekeba, M Assefa, AT Tegene, SB Muhammed, ... 2022 19th International Computer Conference on Wavelet Active Media …, 2022 | 1 | 2022 |
| Workload prediction of virtual machines using integrated deep learning approaches over cloud data centers HL Leka, Z Fengli, AT Kenea, DP Sharma, AT Tegene Human-Centric Smart Computing: Proceedings of ICHCSC 2022, 55-65, 2022 | 1 | 2022 |
| A Hybrid CNN-GRU model for Session-based Recommender Systems AT Tegene, Q Liu, Y Gan, E Jimale, M Ayenew, H Leka 2023 9th International Conference on Computer and Communications (ICCC …, 2023 | | 2023 |
| A Lightweight Blockchain-Based Cooperative Demand Response and Energy Trading Model for Smart Grid M Ayenew, H Lei, X Li, K Kekeba, E Abeje, A Tegene, H Alemu 2023 Power Electronics and Power System Conference (PEPSC), 250-255, 2023 | | 2023 |
