Publications

2019
Tafsast A, Hadjili ML, Bouakaz A, Benoudjit N. Characterization of Melanoma Using Convolutional Neural Networks and Dermoscopic Images. International Conference on Electrical Engineering and Control Applications. 2019 :1147-1155.
Tafsast A, Hadjili ML, Bouakaz A, Benoudjit N. Characterization of Melanoma Using Convolutional Neural Networks and Dermoscopic Images. International Conference on Electrical Engineering and Control Applications. 2019 :1147-1155.
Makhlouf S, Noui L. Characterization of some minimal codes for secret sharing. Asian-European Journal of MathematicsAsian-European Journal of Mathematics. 2019;12 :1950026.
Makhlouf S, Noui L. Characterization of some minimal codes for secret sharing. Asian-European Journal of MathematicsAsian-European Journal of Mathematics. 2019;12 :1950026.
Hamza B, Redha MENANIM. Characterization on Contentinetal Intercalaire Aquifer (CI) in the Tinrhert East Area-Illizi basin on the Algerian-Libyan Border, June, ISSN / e-ISSN: 2305 - 7068 / 1674-6767. Journal of groundwater science and engineering.Journal of groundwater science and engineering. 2019;vol 7 :pp.115-132.Abstract
This paper addresses the characterization of the Continental Intercalaire aquifer (CI) in the Tinrhert-East area of Illizi Basin on the Algerian-Libyan border, which belongs to the SASS1 system, one of the biggest transboundary aquifers in the world. This study concerns a superficies of 4 300 km2. On the basis of Mud Logging borehole data conducted in this part of the aquifer, a realistic characterization of the aquifer was done. The thickness of the CI aquifer varies from 300 m in the south to 700 m in the north, and the depth ranges from 180 m to 320 m. The interpretation of the logs showed that the aquifer is characterized by a maximum net thickness in its southwestern part (more than 600 m), the porosity is very high, ranging from 30% in the west to 24% at the Libyan borders, the permeability is low to medium around 10-5 m/s, and the maximum transmissivity values of about 8×10-3 m2/s were recorded at the center of the study area. The depth of water varies from 235 m to 312 m, and the water flows from south to north, in accordance with the general direction observed in the CI aquifer in the Northern Sahara Aquifer System (SASS). The porosity values obtained from the interpretation of the sonic and density logs permit to estimate the water reserves of this aquifer considered fossil, at thresholds much higher than what was considered until now.
Hamza B, Redha MENANIM. Characterization on Contentinetal Intercalaire Aquifer (CI) in the Tinrhert East Area-Illizi basin on the Algerian-Libyan Border, June, ISSN / e-ISSN: 2305 - 7068 / 1674-6767. Journal of groundwater science and engineering.Journal of groundwater science and engineering. 2019;vol 7 :pp.115-132.Abstract
This paper addresses the characterization of the Continental Intercalaire aquifer (CI) in the Tinrhert-East area of Illizi Basin on the Algerian-Libyan border, which belongs to the SASS1 system, one of the biggest transboundary aquifers in the world. This study concerns a superficies of 4 300 km2. On the basis of Mud Logging borehole data conducted in this part of the aquifer, a realistic characterization of the aquifer was done. The thickness of the CI aquifer varies from 300 m in the south to 700 m in the north, and the depth ranges from 180 m to 320 m. The interpretation of the logs showed that the aquifer is characterized by a maximum net thickness in its southwestern part (more than 600 m), the porosity is very high, ranging from 30% in the west to 24% at the Libyan borders, the permeability is low to medium around 10-5 m/s, and the maximum transmissivity values of about 8×10-3 m2/s were recorded at the center of the study area. The depth of water varies from 235 m to 312 m, and the water flows from south to north, in accordance with the general direction observed in the CI aquifer in the Northern Sahara Aquifer System (SASS). The porosity values obtained from the interpretation of the sonic and density logs permit to estimate the water reserves of this aquifer considered fossil, at thresholds much higher than what was considered until now.
Kherraf A, Tamerabet Y, Brioua M, Benbouta R. Chip formation process using finite element simulation “Influence of Cutting Speed Variation”. Journal of Solid MechanicsJournal of Solid Mechanics. 2019;11 :854-861.
Kherraf A, Tamerabet Y, Brioua M, Benbouta R. Chip formation process using finite element simulation “Influence of Cutting Speed Variation”. Journal of Solid MechanicsJournal of Solid Mechanics. 2019;11 :854-861.
Kherraf A, Tamerabet Y, Brioua M, Benbouta R. Chip formation process using finite element simulation “Influence of Cutting Speed Variation”. Journal of Solid MechanicsJournal of Solid Mechanics. 2019;11 :854-861.
Kherraf A, Tamerabet Y, Brioua M, Benbouta R. Chip formation process using finite element simulation “Influence of Cutting Speed Variation”. Journal of Solid MechanicsJournal of Solid Mechanics. 2019;11 :854-861.
Kherraf A, Tamerabet Y, BRIOUA M, Benbouta R. Chip Formation Process using Finite Element Simulation “Influence of Cutting Speed Variation”. Journal of Solid MechanicsJournal of Solid Mechanics. 2019;11 :854-861.
Kherraf A, Tamerabet Y, BRIOUA M, Benbouta R. Chip Formation Process using Finite Element Simulation “Influence of Cutting Speed Variation”. Journal of Solid MechanicsJournal of Solid Mechanics. 2019;11 :854-861.
Kherraf A, Tamerabet Y, BRIOUA M, Benbouta R. Chip Formation Process using Finite Element Simulation “Influence of Cutting Speed Variation”. Journal of Solid MechanicsJournal of Solid Mechanics. 2019;11 :854-861.
Kherraf A, Tamerabet Y, BRIOUA M, Benbouta R. Chip Formation Process using Finite Element Simulation “Influence of Cutting Speed Variation”. Journal of Solid MechanicsJournal of Solid Mechanics. 2019;11 :854-861.
Titouna C, Moumen H, Ari AAA. Cluster head recovery algorithm for wireless sensor networks. 2019 6th international conference on control, decision and information technologies (CoDIT). 2019 :1905-1910.
Titouna C, Moumen H, Ari AAA. Cluster head recovery algorithm for wireless sensor networks. 2019 6th international conference on control, decision and information technologies (CoDIT). 2019 :1905-1910.
Titouna C, Moumen H, Ari AAA. Cluster head recovery algorithm for wireless sensor networks. 2019 6th international conference on control, decision and information technologies (CoDIT). 2019 :1905-1910.
Mesbahi N, KAZAR O, BENHARZALLAH S, Zoubeidi M, Rezki D. A Clustering Approach Based on Cooperative Agents to Improve Decision Support in ERP. In: Technological Innovations in Knowledge Management and Decision Support. IGI Global ; 2019. pp. 1-18.
Mesbahi N, KAZAR O, BENHARZALLAH S, Zoubeidi M, Rezki D. A Clustering Approach Based on Cooperative Agents to Improve Decision Support in ERP. In: Technological Innovations in Knowledge Management and Decision Support. IGI Global ; 2019. pp. 1-18.
Mesbahi N, KAZAR O, BENHARZALLAH S, Zoubeidi M, Rezki D. A Clustering Approach Based on Cooperative Agents to Improve Decision Support in ERP. In: Technological Innovations in Knowledge Management and Decision Support. IGI Global ; 2019. pp. 1-18.

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