37 citations · 58 across the 4 of their papers we have counts for
5 papers
Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger
Vahid Behzadan, Arslan Munir
Recent developments have established the vulnerability of deep Reinforcement Learning (RL) to policy manipulation attacks via adversarial perturbations. In this paper, we investiga…
A Comparative Quantitative Analysis of Contemporary Big Data Clustering Algorithms for Market Segmentation in Hospitality Industry
Avishek Bose, Arslan Munir, Neda Shabani
The hospitality industry is one of the data-rich industries that receives huge Volumes of data streaming at high Velocity with considerably Variety, Veracity, and Variability. Thes…
Analysis of Big Data Maturity Stage in Hospitality Industry
Neda Shabani, Arslan Munir, Avishek Bose
Big data analytics has an extremely significant impact on many areas in all businesses and industries including hospitality. This study aims to guide information technology (IT) pr…
IFCIoT: Integrated Fog Cloud IoT Architectural Paradigm for Future Internet of Things
Arslan Munir, Prasanna Kansakar, Samee U. Khan
We propose a novel integrated fog cloud IoT (IFCIoT) architectural paradigm that promises increased performance, energy efficiency, reduced latency, quicker response time, scalabil…
Phase distance mapping: a phase-based cache tuning methodology for embedded systems
Tosiron Adegbija, Ann Gordon-Ross, Arslan Munir
Networked embedded systems typically leverage a collection of low-power embedded systems (nodes) to collaboratively execute applications spanning diverse application domains (e.g.,…