Riyadh Alnasser

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Various methods predicting next locations of people have shown to be very successful under certain data conditions. Among other similarly sparse datasets, the nature of Call Detail Records (CDRs) limits the potentials of some approaches due to sparsity. Location information of users is mostly unavailable except when users initiate or receive phone activity.(More)
In this study, we have synthesized a new hyperbranched polyester polymer containing sulfur-pendants (HBPE-S) in the branching points. This HBPE-S polymer is composed of spherical shaped, aliphatic three-dimensional architecture with carboxylic acid groups on the surface. The presence of sulfur pendants in the polymeric cavities demonstrated important role(More)
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