Now showing items 1-5 of 5

    • A cost-effective framework for the optimal placement of drones in smart cities 

      Ülgen, Semail; Al-Turjman, Fadi; Daboul, Reda; Zahmatkesh, Hadi (CRC Press, 2019)
      This chapter presents the existing studies related to the use of unmanned aerial vehicles in the internet of things era. It outlines problem description and the proposed framework. The chapter discusses the performance ...
    • Emotional ANN (EANN): a new generation of neural networks for hydrological modeling in IoT 

      Nourani, Vahid; Molajou, Amir; Najafi, Hessam; Danandeh Mehr, Ali (Springer Nature Switzerland AG, 2019)
      Emotional artificial neural network (EANN) is a cutting-edge artificial intelligence method that has been used by researchers in the engineering and medical sciences over the recent years. First introduced in the 1999s, ...
    • Energy demand forecasting using deep learning 

      Hrnjica, Bahrudin; Danandeh Mehr, Ali (Springer Nature Switzerland AG, 2019)
      Our cities face non-stop growth in population and infrastructures and require more energy every day. Energy management is the key success for the smart cities concept since electricity is one of the essential resources ...
    • A neuro-fuzzy-based multi-criteria risk evaluation approach: a case study of underground mining 

      Ak, Muhammet Fatih (Springer, 2019)
      Underground mining is considered as one of the most hazard-prone industries, and serious work-related fatalities have arisen as a consequence of processes related to it; this chapter deals with occupational hazards and ...
    • Smart tourism destination in smart cities paradigm: a model for Antalya 

      Başer, Gözdegül; Doğan, Oğuz; Al-Turjman, Fadi (Springer Nature Switzerland AG, 2019)
      Smart tourism destination (STD) concept has taken serious attention as a result of the smart city initiatives. Technology connects all organizations, entities, activities, and elements. Tourism is a multidimensional service ...