• Binary Multi-Verse Optimization (BMVO) Approaches for Feature Selection 

      Hans, Rahul; Kaur, Harjot (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Multi-Verse Optimization (MVO) is one of the newest meta-heuristic optimization algorithms which imitates the theory of Multi-Verse in Physics and resembles the interaction among the various universes. In problem domains ...
    • N-grams Based Supervised Machine Learning Model for Mobile Agent Platform Protection against Unknown Malicious Mobile Agents 

      Bagga, Pallavi; Hans, Rahul; Sharma, Vipul (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      From many past years, the detection of unknown malicious mobile agents before they invade the Mobile Agent Platform has been the subject of much challenging activity. The ever-growing threat of malicious agents calls for ...
    • QoS based Web Service Selection and Multi-Criteria Decision Making Methods 

      Bagga, Pallavi; Hans, Rahul; Joshi, Aarchit (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      With the continuing proliferation of web services offering similar efficacies, around the globe, it has become a challenge for a user to select the best web service. In literature, this challenge is exhibited as a 0-1 ...