HOME / PUBLICATIONS /

Publications

2021
Benreguia B, Moumen H, Bouam S, Arar C. Self-stabilizing Algorithm for Maximal Distance-2 Independent Set. arXiv preprint arXiv:2101.11126arXiv preprint arXiv:2101.11126. 2021.
Benreguia B, Moumen H, Bouam S, Arar C. Self-stabilizing Algorithm for Maximal Distance-2 Independent Set. arXiv preprint arXiv:2101.11126arXiv preprint arXiv:2101.11126. 2021.
Benreguia B, Moumen H, Bouam S, Arar C. Self-stabilizing Algorithm for Maximal Distance-2 Independent Set. arXiv preprint arXiv:2101.11126arXiv preprint arXiv:2101.11126. 2021.
Benreguia B, Moumen H, Bouam S, Arar C. Self-stabilizing Algorithm for Maximal Distance-2 Independent Set. arXiv preprint arXiv:2101.11126arXiv preprint arXiv:2101.11126. 2021.
Berghout T, Mouss L-H, Bentrcia T, Benbouzid M. A Semi-supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction. IEEE Transactions on Energy ConversionIEEE Transactions On Energy Conversion. 2021.
Berghout T, Mouss L-H, Bentrcia T, Benbouzid M. A Semi-supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction. IEEE Transactions on Energy ConversionIEEE Transactions On Energy Conversion. 2021.
Berghout T, Mouss L-H, Bentrcia T, Benbouzid M. A Semi-supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction. IEEE Transactions on Energy ConversionIEEE Transactions On Energy Conversion. 2021.
Berghout T, Mouss L-H, Bentrcia T, Benbouzid M. A Semi-supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction. IEEE Transactions on Energy ConversionIEEE Transactions On Energy Conversion. 2021.
Sekhri K, Yahiaoui D, Harahap ISH. A Sensitivity Parameters on Inelastic Response of Interaction Soil-Pile-Structure System Under Lateral Loading. Proceedings of the International Conference on Civil, Offshore and Environmental Engineering [Internet]. 2021 :1020-1026. Publisher's VersionAbstract
Soil-structure interaction is the key to study the behavior of the structure under static or dynamic loading. The pile foundation is adopted to transfer the load from the structure to the soil when the structure is embedded in a weak soil stratum. Soil-pile system has a nonlinear behavior, thus, it is more complicated to understand. This study focuses on the numerical investigations of interaction soil–pile–structure system (ISPS) and interaction soil–pile system (ISP) under lateral loads. The nonlinear static analysis is carried out considering the lateral capacity of ISPS and ISP system under lateral loading using the pushover analysis, with a parametric study. The results show that in most cases, the lateral capacity of the fixed system is low compared to lateral capacity in ISPS system when increasing the axial load, pile diameter and length of the pile in all types of sand.
Sekhri K, Yahiaoui D, Harahap ISH. A Sensitivity Parameters on Inelastic Response of Interaction Soil-Pile-Structure System Under Lateral Loading. Proceedings of the International Conference on Civil, Offshore and Environmental Engineering [Internet]. 2021 :1020-1026. Publisher's VersionAbstract
Soil-structure interaction is the key to study the behavior of the structure under static or dynamic loading. The pile foundation is adopted to transfer the load from the structure to the soil when the structure is embedded in a weak soil stratum. Soil-pile system has a nonlinear behavior, thus, it is more complicated to understand. This study focuses on the numerical investigations of interaction soil–pile–structure system (ISPS) and interaction soil–pile system (ISP) under lateral loads. The nonlinear static analysis is carried out considering the lateral capacity of ISPS and ISP system under lateral loading using the pushover analysis, with a parametric study. The results show that in most cases, the lateral capacity of the fixed system is low compared to lateral capacity in ISPS system when increasing the axial load, pile diameter and length of the pile in all types of sand.
Sekhri K, Yahiaoui D, Harahap ISH. A Sensitivity Parameters on Inelastic Response of Interaction Soil-Pile-Structure System Under Lateral Loading. Proceedings of the International Conference on Civil, Offshore and Environmental Engineering [Internet]. 2021 :1020-1026. Publisher's VersionAbstract
Soil-structure interaction is the key to study the behavior of the structure under static or dynamic loading. The pile foundation is adopted to transfer the load from the structure to the soil when the structure is embedded in a weak soil stratum. Soil-pile system has a nonlinear behavior, thus, it is more complicated to understand. This study focuses on the numerical investigations of interaction soil–pile–structure system (ISPS) and interaction soil–pile system (ISP) under lateral loads. The nonlinear static analysis is carried out considering the lateral capacity of ISPS and ISP system under lateral loading using the pushover analysis, with a parametric study. The results show that in most cases, the lateral capacity of the fixed system is low compared to lateral capacity in ISPS system when increasing the axial load, pile diameter and length of the pile in all types of sand.
Berghout T, Benbouzid M, Mouss L-H. Sequence-To-Sequence Health Index Estimation of Rolling Bearings with Long-Short Term Memory and Transfer Learning. IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society [Internet]. 2021 :1-5. Publisher's VersionAbstract
One of the main data-driven challenges when assessing bearing health is that training and test samples must be drawn from the same probability distribution. Indeed, it is difficult and almost rare to witness such a phenomenon in practical applications due to the constantly changing working conditions of rotating machines. In addition, collecting sufficient deterioration samples from the bearing life cycle is not possible due to the huge memory requirements and processing costs. As a result, accelerated life tests are believed to be the primary alternatives to such a situation. However, and unfortunately, the recorded samples always are subject to lack of real patterns. Therefore, in this paper, a transfer learning approach is performed to solve such kind of problem where PRONOSTICO dataset is used to assess the current procedures.
Berghout T, Benbouzid M, Mouss L-H. Sequence-To-Sequence Health Index Estimation of Rolling Bearings with Long-Short Term Memory and Transfer Learning. IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society [Internet]. 2021 :1-5. Publisher's VersionAbstract
One of the main data-driven challenges when assessing bearing health is that training and test samples must be drawn from the same probability distribution. Indeed, it is difficult and almost rare to witness such a phenomenon in practical applications due to the constantly changing working conditions of rotating machines. In addition, collecting sufficient deterioration samples from the bearing life cycle is not possible due to the huge memory requirements and processing costs. As a result, accelerated life tests are believed to be the primary alternatives to such a situation. However, and unfortunately, the recorded samples always are subject to lack of real patterns. Therefore, in this paper, a transfer learning approach is performed to solve such kind of problem where PRONOSTICO dataset is used to assess the current procedures.
Berghout T, Benbouzid M, Mouss L-H. Sequence-To-Sequence Health Index Estimation of Rolling Bearings with Long-Short Term Memory and Transfer Learning. IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society [Internet]. 2021 :1-5. Publisher's VersionAbstract
One of the main data-driven challenges when assessing bearing health is that training and test samples must be drawn from the same probability distribution. Indeed, it is difficult and almost rare to witness such a phenomenon in practical applications due to the constantly changing working conditions of rotating machines. In addition, collecting sufficient deterioration samples from the bearing life cycle is not possible due to the huge memory requirements and processing costs. As a result, accelerated life tests are believed to be the primary alternatives to such a situation. However, and unfortunately, the recorded samples always are subject to lack of real patterns. Therefore, in this paper, a transfer learning approach is performed to solve such kind of problem where PRONOSTICO dataset is used to assess the current procedures.
Qutob N, Awartani F, Salah Z, Asia M, Khader IA, Herzallah K, Balqis N, Sallam H. Seroprevalence of SARS-CoV-2 in the West Bank region of Palestine: a cross-sectional seroepidemiological study. BMJ openBMJ open. 2021;11 :e044552.
Qutob N, Awartani F, Salah Z, Asia M, Khader IA, Herzallah K, Balqis N, Sallam H. Seroprevalence of SARS-CoV-2 in the West Bank region of Palestine: a cross-sectional seroepidemiological study. BMJ openBMJ open. 2021;11 :e044552.
Qutob N, Awartani F, Salah Z, Asia M, Khader IA, Herzallah K, Balqis N, Sallam H. Seroprevalence of SARS-CoV-2 in the West Bank region of Palestine: a cross-sectional seroepidemiological study. BMJ openBMJ open. 2021;11 :e044552.
Qutob N, Awartani F, Salah Z, Asia M, Khader IA, Herzallah K, Balqis N, Sallam H. Seroprevalence of SARS-CoV-2 in the West Bank region of Palestine: a cross-sectional seroepidemiological study. BMJ openBMJ open. 2021;11 :e044552.
Qutob N, Awartani F, Salah Z, Asia M, Khader IA, Herzallah K, Balqis N, Sallam H. Seroprevalence of SARS-CoV-2 in the West Bank region of Palestine: a cross-sectional seroepidemiological study. BMJ openBMJ open. 2021;11 :e044552.
Qutob N, Awartani F, Salah Z, Asia M, Khader IA, Herzallah K, Balqis N, Sallam H. Seroprevalence of SARS-CoV-2 in the West Bank region of Palestine: a cross-sectional seroepidemiological study. BMJ openBMJ open. 2021;11 :e044552.

Pages