most citedData Mining and Visualization to Understand Accident-prone Areas

10 citations · 22 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2021★ 5 cited

Clustering Algorithms to Analyze the Road Traffic Crashes

Mahnaz Rafia Islam, Israt Jahan Jenny, Moniruzzaman Nayon +3

Selecting an appropriate clustering method as well as an optimal number of clusters in road accident data is at times confusing and difficult. This paper analyzes shortcomings of d…

cs.CR2021★ 2 cited

Methodology and Analysis of Smart Contracts in Blockchain-Based International Trade Application

Asif Bhat, Rizal Mohd Nor, Md Amiruzzaman +1

Blokchain is used in a variety of applications where trustworthy computing is re-quired. Trade finance is one of these areas that would benefit immensely from a decentralized way o…

cs.CR2021

DNS attack mitigation Using OpenStack Isolation

Hassnain ul hassan, Rizal Mohd Nor, Md Amiruzzaman +2

The Domain Name System (DNS) is essential for the Internet, giving a mechanism to resolve hostnames into Internet Protocol (IP) addresses. DNS is known as the world's largest distr…

cs.CY2021★ 10 cited

Data Mining and Visualization to Understand Accident-prone Areas

Md Mashfiq Rizvee, Md Amiruzzaman, Md Rajibul Islam

In this study, we present both data mining and information visualization techniques to identify accident-prone areas, most accident-prone time, day, and month. Also, we surveyed am…

math.HO2020

Preservice mathematics teachers understanding of mode

Md Amiruzzaman, Karl W. Kosko, Stefanie Amiruzzaman

This paper explores two preservice mathematics teachers' understanding of mode. Participants' initial understanding and understanding following use of an interactive virtual manipu…

math.HO2020

Exploring students' understanding of median

Md Amiruzzaman, Karl W. Kosko

This paper explores middle-grade students' conceptions of median. Describes, where and why they struggle and provides learning trajectory to improve their understanding.