@article{1482765,
      author = {Ali, Shakir, and Armanuos, Asaad Mater,},
      url = {http://library.usi.edu/record/1482765},
      title = {Groundwater in arid and semi-arid areas : monitoring,  assessment, modelling, and management /},
      abstract = {This book provides comprehensive studies from Middle East,  African countries and Asia including Afghanistan, Algeria,  Egypt, India, Iraq, Kyrgyzstan, Tunisia and Turkey on  groundwater management, modelling and monitoring. A broad  approach such as modelling, artificial intelligence,  machine learning, and statistical models was applied in  arid and semi-arid areas for management of the groundwater.  These new approaches are currently in high demand. The book  delves into the applications of these methods and will be a  potential asset to the researchers worldwide. The book is a  timely publication containing chapters based on primary  data or/and extensive review chapters comprising new  emerging techniques. Current high-demand research on  management through the application of modelling, artificial  intelligence and machine learning is the main selling point  of this book.},
      doi = {https://doi.org/10.1007/978-3-031-43348-1},
      recid = {1482765},
      pages = {1 online resource (viii, 368 pages) :},
}