Adnan Idris
Adnan Idris
Associate Professor, Department of Computer Sciences & IT,University of Poonch, Rawalakot
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies
A Idris, M Rizwan, A Khan
Computers & Electrical Engineering 38 (6), 1808-1819, 2012
Intelligent churn prediction in telecom: employing mRMR feature selection and RotBoost based ensemble classification
A Idris, A Khan, YS Lee
Applied intelligence 39 (3), 659-672, 2013
Wavelet based image authentication and recovery
R Chamlawi, A Khan, A Idris
Journal of Computer Science and Technology 22 (6), 795-804, 2007
Earthquake prediction model using support vector regressor and hybrid neural networks
KM Asim, A Idris, T Iqbal, F Martínez-Álvarez
PLoS One 13 (7),, 2018
Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies
L Hussain, A Ahmed, S Saeed, S Rathore, IA Awan, SA Shah, A Majid, ...
Cancer Biomarkers 21 (2), 393-413, 2018
Genetic programming and adaboosting based churn prediction for telecom
A Idris, A Khan, YS Lee
IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012 …, 2012
Seismic indicators based earthquake predictor system using Genetic Programming and AdaBoost classification
KM Asim, A Idris, T Iqbal, F Martínez-Álvarez
Soil Dynamics and Earthquake Engineering 111, 1-7, 2018
Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling
A Idris, A Iftikhar, Z ur Rehman
Cluster Computing,, 2017
Customer churn prediction for telecommunication: Employing various various features selection techniques and tree based ensemble classifiers
A Idris, A Khan
15th International Multitopic Conference (INMIC), 2012 15th International, 23-27, 2012
Churn prediction system for telecom using filter–wrapper and ensemble classification
A Idris, A Khan
The Computer Journal 60 (3), 410-430, 2017
Ensemble based efficient churn prediction model for telecom
A Idris, A Khan
12th International Conference on Frontiers of Information Technology (FIT …, 2014
A secure semi-fragile watermarking scheme for authentication and recovery of images based on wavelet transform
R Chamlawi, A Khan, A Idris, Z Munir
World Academy of Science, Engineering and Technology 23, 49-53, 2006
Multiscaled complexity analysis of EEG epileptic seizure using entropy-based techniques
L Hussain, S Saeed, IA Awan, A Idris
Archives of Neuroscience 5 (1), 2018
Detecting Brain Tumor Using Machine Learning Techniques Based on Different Features Extracting Strategies
L Hussain, S Saeed, I Ahmad Awan, A Idris, MSAN Nadeem, ...
Current Medical Imaging Reviews, 2019
Comparative analysis of different statistical methods for prediction of PM2. 5 and PM10 concentrations in advance for several hours
S Saeed, L Hussain, IA Awan, A Idris
International Journal of Computer Science and Network Security 17 (11), 45-52, 2017
An ensemble classification approach for automated diagnosis of Alzheimer's disease and mild cognitive impairment
MA Iftikhar, A Idris
2016 Open International Conference on Source Systems & Technologies (ICOSST …, 2016
Regression analysis for detecting epileptic seizure with different feature extracting strategies
L Hussain, S Saeed, A Idris, IA Awan, SA Shah, A Majid, B Ahmed, ...
Biomedical Engineering/Biomedizinische Technik 64 (6), 619-642, 2019
Spatial Wavelet-based Coherence and Coupling in EEG signals with Eye open and closed during resting state
L Hussain, W Aziz, S Saeed, A Idris, IA Awan, SA Shah, SA Nadeem, ...
IEEE Access 6 (1), 37003 - 37022, 2018
Applying bayesian network approach to determine the association between morphological features extracted from prostate cancer images
L Hussain, A Ali, S Rathore, S Saeed, A Idris, MU Usman, MA Iftikhar, ...
IEEE Access 7, 1586-1601, 2018
Short term earthquake prediction in Hindukush region using tree based ensemble learning
KM Asim, A Idris, F Martínez-Álvarez, T Iqbal
2016 International conference on frontiers of information technology (FIT …, 2016
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20