Muhammad Abbas

Muhammad Abbas, Asifullah Khan, Aqsa Saeed Qureshi et al.

Higgs boson is a fundamental particle, and the classification of Higgs signals is a well-known problem in high energy physics. The identification of the Higgs signal is a challenging task because its signal has a resemblance to the background signals. This study proposes a Higgs signal classification using a novel combination of random forest, auto encoder and deep auto encoder to build a robust and generalized Higgs boson prediction system to discriminate the Higgs signal from the background noise. The proposed ensemble technique is based on achieving diversity in the decision space, and the results show good discrimination power on the private leaderboard; achieving an area under the Receiver Operating Characteristic curve of 0.9 and an Approximate Median Significance score of 3.429.

Attique Ur Rehman, Ali Nawaz, Muhammad Abbas

A virtual team is a group of geographically distant people who work together to achieve a shared goal for a common organization. From the past few years this concept has been evolved and has emerged the idea of global project management. Virtual teams have been beneficial in cost reduction; hiring competent work force and improving globalization. Although virtual teams are beneficial for an organization; but they are hard to manage and control successfully. There can be several challenges like cultural issues; different time zones and communication gap. These challenges are not hard to manage; and we can overcome these challenges using effective project management skills. These skills will become the success factors for making virtual teams successful and will be determined by comparison of the survey results of traditional and virtual teams.