4 citations · 8 across the 6 of their papers we have counts for
6 papers
Bayesian-Symbolic Integration for Uncertainty-Aware Parking Prediction
Alireza Nezhadettehad, Arkady Zaslavsky, Abdur Rakib +1
Accurate parking availability prediction is critical for intelligent transportation systems, but real-world deployments often face data sparsity, noise, and unpredictable changes.…
Predicting Next Useful Location With Context-Awareness: The State-Of-The-Art
Alireza Nezhadettehad, Arkady Zaslavsky, Rakib Abdur +4
Predicting the future location of mobile objects reinforces location-aware services with proactive intelligence and helps businesses and decision-makers with better planning and ne…
Adaptive operator selection utilising generalised experience
Mehmet Emin Aydin, Rafet Durgut, Abdur Rakib
Optimisation problems, particularly combinatorial optimisation problems, are difficult to solve due to their complexity and hardness. Such problems have been successfully solved by…
Analysing the Predictivity of Features to Characterise the Search Space
Rafet Durgut, Mehmet Emin Aydin, Hisham Ihshaish +1
Exploring search spaces is one of the most unpredictable challenges that has attracted the interest of researchers for decades. One way to handle unpredictability is to characteris…
FT-SWRL: A Fuzzy-Temporal Extension of Semantic Web Rule Language
Abba Lawan, Abdur Rakib
We present, FT-SWRL, a fuzzy temporal extension to the Semantic Web Rule Language (SWRL), which combines fuzzy theories based on the valid-time temporal model to provide a standard…
The Semantic Web Rule Language Expressiveness Extensions-A Survey
Abba Lawan, Abdur Rakib
The Semantic Web Rule Language (SWRL) is a direct extension of OWL 2 DL with a subset of RuleML, and it is designed to be the rule language of the Semantic Web. This paper explores…