127 citations · 161 across the 25 of their papers we have counts for
9 papers · 1 filter
An Efficient K-means Clustering Algorithm for Analysing COVID-19
Md. Zubair, MD. Asif Iqbal, Avijeet Shil +3
COVID-19 hits the world like a storm by arising pandemic situations for most of the countries around the world. The whole world is trying to overcome this pandemic situation. A bet…
Predicting Individual Substance Abuse Vulnerability using Machine Learning Techniques
Uwaise Ibna Islam, Iqbal H. Sarker, Enamul Haque +1
Substance abuse is the unrestrained and detrimental use of psychoactive chemical substances, unauthorized drugs, and alcohol. Continuous use of these substances can ultimately lead…
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies
Rony Chowdhury Ripan, Iqbal H. Sarker, Md Musfique Anwar +4
Cybersecurity has recently gained considerable interest in today's security issues because of the popularity of the Internet-of-Things (IoT), the considerable growth of mobile netw…
A Survey on the Use of AI and ML for Fighting the COVID-19 Pandemic
Muhammad Nazrul Islam, Toki Tahmid Inan, Suzzana Rafi +3
Artificial intelligence (AI) and machine learning (ML) have made a paradigm shift in health care which, eventually can be used for decision support and forecasting by exploring the…
Crime Prediction Using Spatio-Temporal Data
Sohrab Hossain, Ahmed Abtahee, Imran Kashem +2
A crime is a punishable offence that is harmful for an individual and his society. It is obvious to comprehend the patterns of criminal activity to prevent them. Research can help…
BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model
Iqbal H. Sarker, Alan Colman, Jun Han +3
This paper formulates the problem of building a context-aware predictive model based on user diverse behavioral activities with smartphones. In the area of machine learning and dat…
Performance Analysis of Machine Learning Techniques to Predict Diabetes Mellitus
Md. Faisal Faruque, Asaduzzaman, Iqbal H. Sarker
Diabetes mellitus is a common disease of human body caused by a group of metabolic disorders where the sugar levels over a prolonged period is very high. It affects different organ…
Research Issues in Mining User Behavioral Rules for Context-Aware Intelligent Mobile Applications
Iqbal H. Sarker
Context-awareness in smart mobile applications is a growing area of study, because of it's intelligence in the applications. In order to build context-aware intelligent application…
An Improved Naive Bayes Classifier-based Noise Detection Technique for Classifying User Phone Call Behavior
Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman +1
The presence of noisy instances in mobile phone data is a fundamental issue for classifying user phone call behavior (i.e., accept, reject, missed and outgoing), with many potentia…