A
Asif Karim
Researcher at Charles Darwin University
Publications - 60
Citations - 1006
Asif Karim is an academic researcher from Charles Darwin University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 10, co-authored 41 publications receiving 329 citations. Previous affiliations of Asif Karim include University College of Engineering.
Papers
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Journal ArticleDOI
Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques
Pronab Ghosh,Sami Azam,Mirjam Jonkman,Asif Karim,F. M. Javed Mehedi Shamrat,Eva Ignatious,Shahana Shultana,Abhijith Reddy Beeravolu,Friso De Boer +8 more
TL;DR: In this article, the authors proposed a model that incorporates different methods to achieve effective prediction of heart disease, which used efficient Data Collection, Data Pre-processing and Data Transformation methods to create accurate information for the training model.
Journal ArticleDOI
A Comprehensive Survey for Intelligent Spam Email Detection
TL;DR: A focused literature survey of Artificial Intelligence (AI) and Machine Learning (ML) methods for intelligent spam email detection, which can help in developing appropriate countermeasures.
Journal ArticleDOI
Intrusion Detection System for the Internet of Things Based on Blockchain and Multi-Agent Systems
Chao Liang,Bharanidharan Shanmugam,Sami Azam,Asif Karim,Ashraful Islam,Mazdak Zamani,Sanaz Kavianpour,Norbik Bashah Idris +7 more
TL;DR: The experiment indicates that deep learning algorithms are suitable for intrusion detection in IoT network environment.
Journal ArticleDOI
Machine Learning Based PV Power Generation Forecasting in Alice Springs
TL;DR: In this paper, a machine learning-based PV power generation forecasting for both the short and long-term is presented, where different machine learning algorithms, including linear regression, polynomial regression, decision tree regression, support vector regression, random forest regression, long short-term memory, and multilayer perceptron regression, are considered in the study.
Journal ArticleDOI
COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images.
TL;DR: In this paper, an automatic deep learning classification method for detecting COVID-19 from chest X-ray images is suggested using a CNN, and the proposed model required the least compilation time with 2 h, 50 min and 21 s.