Modelling, simulation, and optimization of diabetes type II prediction using deep extreme learning machine

Memetic computing based numerical solution to Troesch problem

(2019) Atta Rahman   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Security Analysis of Liveness Authentication of Human Iris Templates: A Deep Learning Approach

(2018) Maqsood Mahmud et al.   Journal of Medical Imaging and Health Informatics

A Prediction Methodology of Energy Consumption Based on Deep Extreme Learning Machine and Comparative Analysis in Residential Buildings

(2018) Muhammad Fayaz et al.   Electronics

Blind Channel and Data Estimation Using Fuzzy Logic-Empowered Opposite Learning-Based Mutant Particle Swarm Optimization

(2018) Muhammad AsadUllah et al.   Computational Intelligence and Neuroscience

Machine Learning and Data Mining Methods in Diabetes Research

(2017) Ioannis Kavakiotis et al.   Computational and Structural Biotechnology Journal

Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning

(2016) Bum Ju Lee et al.   IEEE Journal of Biomedical and Health Informatics

GA based adaptive receiver for MC-CDMA system

(2015) Muhammad Adnan KHAN et al.   Turkish Journal of Electrical Engineering and Computer Sciences

Inconsistency in albuminuria predictors in type 2 diabetes: a comparison between neural network and conditional logistic regression

(2013) Afsaneh Morteza et al.   Translational Research

Diagnosis and Classification of Diabetes Mellitus

(2011)   DIABETES CARE

Extreme learning machines: a survey

(2011) Guang-Bin Huang et al.   International Journal of Machine Learning and Cybernetics