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Saad Inshi, Rasel Chowdhury, Hakima Ould-Slimane and Chamseddine Talhi
Predicting context-aware activities using machine-learning techniques is evolving to become more readily available as a major driver of the growth of IoT applications to match the needs of the future smart autonomous environments. However, with today?s i...
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Hefdhallah S. Al-Aizari, Fatima Aslaou, Ali R. Al-Aizari, Abdel-Basit Al-Odayni and Abdul-Jaleel M. Al-Aizari
Groundwater is an essential and indispensable resource, meeting dire needs for drinking and irrigation purposes. The aim of this study is to assess the suitability of groundwater quality for drinking purposes. This evaluation will be conducted using the ...
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Slimane Mokrani, El-hafid Nabti and Cristina Cruz
Soil salinization has become a major problem for agriculture worldwide, especially because this phenomenon is continuously expanding in different regions of the world. Salinity is a complex mechanism, and in the soil ecosystem, it affects both microorgan...
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Malik Laamari, Mustapha Slimane Bouasbana, Randa Mahmoudi
Pág. 93 - 100
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Slimane Hadji, Jean-Paul Gaubert and Fateh Krim
Maximum Power Point Tracking (MPPT) methods are used in photovoltaic (PV) systems to continually maximize the PV array output power, which strongly depends on both solar radiation and cell temperature. The PV power oscillations around the maximum power p...
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Youness Riouali, Laila Benhlima and Slimane Bah
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Dunya Alraddawi, Philippe Keckhut, Alain Sarkissian, Olivier Bock, Abdanour Irbah, Slimane Bekki, Chantal Claud and Mustapha Meftah
In order to assess the strength of the water vapour feedback within Arctic climate change, 15 years of the total column-integrated density of water vapour (TCWV) from the moderate resolution imaging spectrometer (MODIS) are analysed. Arctic TCWV distribu...
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Jacques Demongeot, Adrien Elena, Mariem Jelassi, Slimane Ben Miled, Narjès Bellamine Ben Saoud and Carla Taramasco
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Faten Ben Slimane, Mohamed Mehanaoui and Irfan Akbar Kazi
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