Muhammad Arif

Orcid: 0000-0003-0513-9872

Affiliations:
  • Umm Al-Qura University, Makkah, Saudi Arabia
  • Air University, Department of Computer Science and Engineering, Islamabad, Pakistan (2009 - 2010)
  • Pakistan Institute of Engineering and Applied Sciences, PIEAS, Department of Electrical Engineering, Nilore, Islamabad, Pakistan (1996 - 2008)
  • Tohoku University, Sendai, Japan (PhD 1999)


According to our database1, Muhammad Arif authored at least 36 papers between 1999 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Human Pose Estimation Using Deep Learning: A Systematic Literature Review.
Mach. Learn. Knowl. Extr., December, 2023

Speech emotion recognition approaches: A systematic review.
Speech Commun., October, 2023

A performance analysis of transformer-based deep learning models for Arabic image captioning.
J. King Saud Univ. Comput. Inf. Sci., October, 2023

2020
A generalized modeling of ill-posed inverse reconstruction of images using a novel data-driven framework.
Signal Image Video Process., 2020

2019
A light weight smartphone based human activity recognition system with high accuracy.
J. Netw. Comput. Appl., 2019

A revised framework of machine learning application for optimal activity recognition.
Clust. Comput., 2019

2018
Correlation Filters for Detection of Cellular Nuclei in Histopathology Images.
J. Medical Syst., 2018

A Study and Estimation a Lost Person Behavior in Crowded Areas Using Accelerometer Data from Smartphones.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Classification of physical activities using wearable sensors.
Intell. Autom. Soft Comput., 2017

A prediction model for measurement-based timing analysis.
Proceedings of the 6th International Conference on Software and Computer Applications, 2017

2016
CAFÉ-Map: Context Aware Feature Mapping for mining high dimensional biomedical data.
Comput. Biol. Medicine, 2016

An approach to localization in crowded area.
Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016

2015
Time-series event-based prediction: An unsupervised learning framework based on genetic programming.
Inf. Sci., 2015

Two Brains Guided Interactive Evolution.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Decision Trees Based Classification of Cardiotocograms Using Bagging Approach.
Proceedings of the 13th International Conference on Frontiers of Information Technology, 2015

2014
Better Physical Activity Classification using Smartphone Acceleration Sensor.
J. Medical Syst., 2014

2013
3D Similarity-Dissimilarity Plot for High Dimensional Data Visualization in the Context of Biomedical Pattern Classification.
J. Medical Syst., 2013

2012
Detection and Localization of Myocardial Infarction using K-nearest Neighbor Classifier.
J. Medical Syst., 2012

Similarity-Dissimilarity Plot for Visualization of High Dimensional Data in Biomedical Pattern Classification.
J. Medical Syst., 2012

PSO based on surrogate modeling as meta-search to optimise evolutionary algorithms parameters.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
MOX: A novel global optimization algorithm inspired from Oviposition site selection and egg hatching inhibition in mosquitoes.
Appl. Soft Comput., 2011

2009
Arrhythmia Beat Classification Using Pruned Fuzzy K-Nearest Neighbor Classifier.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

Arif Index for Predicting the Classification Accuracy of Features and Its Application in Heart Beat Classification Problem.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2007
Modified Nearest Neighbor Method for Multistep Ahead Time Series Forecasting.
Int. J. Pattern Recognit. Artif. Intell., 2007

2006
Long Range Time Series Forecasting by Upsampling and Using Cross-correlation Based Selection of nearest Neighbor.
Int. J. Pattern Recognit. Artif. Intell., 2006

2004
Intelligent Learning Controllers for Nonlinear Systems using Radial Basis Neural Networks.
Control. Intell. Syst., 2004

2003
A Learning Control for a Class of Linear Time Varying Systems Using Double Differential of Error.
J. Intell. Robotic Syst., 2003

2002
Cartesian path generation of robot manipulators using continuous genetic algorithms.
Robotics Auton. Syst., 2002

Experience-Based Iterative Learning Controllers for Robotic Systems.
J. Intell. Robotic Syst., 2002

Generalization of Iterative Learning Control for Multiple Desired Trajectories in Robotic Systems.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

2001
Incorporation of experience in iterative learning controllers using locally weighted learning.
Autom., 2001

2000
Prediction-based Iterative Learning Control (PILC) for Uncertain Dynamic Nonlinear Systems Using System Identification Technique.
J. Intell. Robotic Syst., 2000

1999
Iterative Learning Control Utilizing the Error Prediction Method.
J. Intell. Robotic Syst., 1999

Iterative Learning Control Using Information Database (ILCID).
J. Intell. Robotic Syst., 1999

Human Learning Characteristics in the Tracking Tasks of Iterative Nature.
Int. J. Neural Syst., 1999

Iterative manual control model of human operator.
Biol. Cybern., 1999


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