• Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection 

  Abdulhammed, Razan; Musafer, Hassan; Alessa, Ali; Faezipour, Miad; Abuzneid, Abdelshakour A. (MDPI, 2019-03-14)

  The security of networked systems has become a critical universal issue that influences individuals, enterprises and governments. The rate of attacks against networked systems has increased dramatically, and the tactics ...
• Source Anonymity against Global Adversary in WSNs Using Dummy Packet Injections: A Survey 

  Bushnag, Anas; Abuzneid, Abdelshakour A.; Mahmood, Ausif (MDPI, 2018-10-13)

  Source anonymity in wireless sensor networks (WSNs) becomes a real concern in several applications such as tracking and monitoring. A global adversary that has sophisticated resources, high computation and full view of the ...
• New Empirical Path Loss Model for 28 GHz and 38 GHz Millimeter Wave in Indoor Urban under Various Conditions 

  Nossire, Zyad; Gupta, Navarun; Almazaydeh, Laiali; Xiong, Xingguo (MDPI, 2018-11-01)

  Due to rapid development in mobile communication technology in recent years, the demand for high quality and high capacity networks with thorough coverage has become a major necessity. Several models have been developed ...
• Differential Evolution: A Survey and Analysis 

  Eltaeib, Tarik; Mahmood, Ausif (MDPI, 2018-10-16)

  Differential evolution (DE) has been extensively used in optimization studies since its development in 1995 because of its reputation as an effective global optimizer. DE is a population-based metaheuristic technique that ...
• A New Cost Function Combining Deep Neural Networks (DNNs) and l2,1-Norm with Extraction of Robust Facial and Superpixels Features in Age Estimation 

  Abu Mallouh, Arafat; Qawaqneh, Zakariya; Barkana, Buket D. (MDPI, 2018-10-16)

  Automatic age estimation from unconstrained facial images is a challenging task and it recently has gained much attention due to its wide range of applications. In this paper, we propose a new model based on convolutional ...
• Proposing Enhanced Feature Engineering and a Selection Model for Machine Learning Processes 

  Uddin, Muhammad Fahim; Lee, Jeongkyu; Rizvi, Syed S.; Hamada, Samir E. (MDPI, 2018-04-20)

  Machine Learning (ML) requires a certain number of features (i.e., attributes) to train the model. One of the main challenges is to determine the right number and the type of such features out of the given dataset’s ...
• A Review of Influenza Detection and Prediction Through Social Networking Sites 

  Alessa, Ali; Faezipour, Miad (BioMed Central, 2018-02-01)

  Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Nowadays, the web can be used for surveillance of diseases. Search engines and social networking sites can be used to track ...
• Introduction of 6th Generation Smart Phone combining the features of both Apple and Android smart phones 

  Salama, Nyembo; Bach, Christian (arXiv, 2013-09-17)

  In this paper, we present our novel contribution methodology based on the results of case study that has been implemented in our research environment to test with new technique the usability of both intelligent Android and ...
• How to Implement Marketing 2.0 Successfully 

  Aldhaheri, Abdulrahman; Bach, Christian (Center for Promoting Ideas, 2013-08)

  The purpose of this research is to develop a model that would close the gap between marketing plans and strategies from one side and the advanced online collaboration applications platforms known as WEB 2.0 in order to ...
• Efficient Actor Recovery Paradigm for Wireless Sensor and Actor Networks 

  Mahjoub, Reem Khalid; Elleithy, Khaled M. (MDPI, 2017-04-14)

  The actor nodes are the spine of wireless sensor and actor networks (WSANs) that collaborate to perform a specific task in an unverified and uneven environment. Thus, there is a possibility of high failure rate in such ...

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