M
Muhammad Hussain
Researcher at National College of Business Administration and Economics
Publications - 3
Citations - 164
Muhammad Hussain is an academic researcher from National College of Business Administration and Economics. The author has contributed to research in topics: Minkowski distance & Euclidean distance. The author has an hindex of 2, co-authored 3 publications receiving 13 citations.
Papers
More filters
Journal ArticleDOI
Cloud-Based Breast Cancer Prediction Empowered with Soft Computing Approaches.
Farrukh Khan,Muhammad Adnan Khan,Sagheer Abbas,Atifa Athar,Shahan Yamin Siddiqui,Shahan Yamin Siddiqui,Abdul Hannan Khan,Abdul Hannan Khan,Muhammad Anwaar Saeed,Muhammad Hussain +9 more
TL;DR: The calculations and the evaluation done in this research have revealed that BCP-SVM is better than B CP-T1F, which concludes out the 96.56 percentage accuracy, whereas the BCP -SVM gives accuracy of 97.06 percentage.
Journal ArticleDOI
Performances of K-Means Clustering Algorithm with Different Distance Metrics
Taher M. Ghazal,Muhammad Hussain,Raed A. Said,Afrozah Nadeem,Mohammad Kamrul Hasan,Munir Ahmad,Muhammad Adnan Khan,Muhammad Tahir Naseem +7 more
Journal ArticleDOI
Modelling, Simulation and Optimization of Diagnosis Cardiovascular Disease Using Computational Intelligence Approaches
Shahan Yamin Siddiqui,Atifa Athar,Muhammad Adnan Khan,Sagheer Abbas,Yousaf Saeed,Muhammad Farrukh Khan,Muhammad Hussain +6 more
TL;DR: The main target of the research is to make the use of three techniques, which include fuzzy logic, neural network, and deep machine learning, to design a system that will be able to detect cardiovascular sickness in the sufferer using machine learning approaches.