• E-learning and mobile learning development in the state of Qatar 

      Robinson, Martha; Ally, Mohamed; Samaka, Mohammed ( Taylor and Francis , 2015 , Book Chapter)
      The State of Qatar's National Vision 2030 (QNV 2030) defines long-term outcomes for this oil-rich and gas-rich state. It aims at transforming Qatar into an advanced nation, capable of sustaining its own development and ...
    • Guidelines for design and implementation of mobile learning 

      Ally, Mohamed; Samaka, Mohammed ( IGI Global , 2016 , Book Chapter)
      As technology evolves, there is a shift towards the use of mobile technology to deliver education both on-campus in a blended format and online delivery. This shift is moving at a very fast pace which is a major challenge ...
    • Managing optimality in multi-sensor data fusion consistency using intersection and largest ellipsoid algorithms 

      Rebaiaia, Mohamed-Larbi; Al-Ja'am, Jihad Mohamad; El-Seoud, Samir ( Nova Science Publishers, Inc. , 2009 , Book Chapter)
      The purpose of this chapter is to provide a theoretical and practical framework to tackle the target tracking problem known as the track-to-track correlation problem. When static (e.g. radars) or dynamic (e.g. AWACs) sensors ...
    • Model for transforming engineering education using technology-enhanced learning 

      Samaka, Mohammed; Ally, Mohamed ( Springer International Publishing , 2015 , Book Chapter)
      Engineering education is important for all countries to progress and to be competitive in the twenty-first century. This is especially true for countries in the Middle East and North Africa (MENA), which are developing ...
    • Text summarization based on conceptual data classification 

      ALJa'am, Jihad M.; Jaoua, Ali M.; Hasnah, Ahmad M.; Hassan, F.; Mohamed, H.; ... more authors ( IGI Global , 2008 , Book Chapter)
      In this paper, we present an original approach for text summarization using conceptual data classification. We show how a given text can be summarized without losing meaningful knowledge and without using any semantic or ...