Muhammad Usman Khalid

发表

Modeling and Trajectory Tracking of Remotely Operated Underwater Vehicle using Higher Order Sliding Mode Control

Muhammad Usman Khalid, Muhammad Ahsan, Owais Kamal, 2019, 2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST).

An Energy Efficient Scheduling of a Smart Home Based on Optimization Techniques

Nadeem Javaid, Muhammad Usman Khalid, Aqib Jamil, 2018, IMIS.

Unsupervised detrending technique using sparse dictionary learning for fMRI preprocessing and analysis

Abd-Krim Seghouane, Muhammad Usman Khalid, A. Seghouane, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Adaptive 2DCCA Based Approach for Improving Spatial Specificity of Activation Detection in Functional MRI

Abd-Krim Seghouane, Muhammad Usman Khalid, Adnan Shah, 2012, 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA).

Hierarchical sparse brain network estimation

Abd-Krim Seghouane, Muhammad Usman Khalid, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Cooperative Energy Management Using Coalitional Game Theory for Reducing Power Losses in Microgrids

Nadeem Javaid, Muhammad Umair Khalid, Muhammad Usman Khalid, 2018, CISIS.

Effective topologies for large scale integration of renewable energy with the grid

Muhammad Usman Khalid, Ahsen Junaid, Basil Siddiqui, 2015, 2015 IEEE/IAS 51st Industrial & Commercial Power Systems Technical Conference (I&CPS).

Proposed Design of Walk-Through Gate (WTG): Mitigating the Effect of COVID-19

Saad Motahhir, Muhammad Usman Khalid, Arfan Arshad, 2020, Applied System Innovation.

Learning dictionaries from correlated data: Application to fMRI data analysis

Abd-Krim Seghouane, Muhammad Usman Khalid, A. Seghouane, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Improving functional connectivity detection in FMRI by combining sparse dictionary learning and canonical correlation analysis

Abd-Krim Seghouane, Muhammad Usman Khalid, A. Seghouane, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

A single SVD sparse dictionary learning algorithm for FMRI data analysis

Abd-Krim Seghouane, Muhammad Usman Khalid, A. Seghouane, 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

Hybrid Bacterial Foraging Tabu Search Energy Optimization Technique in Smart Homes

Nadeem Javaid, Muhammad Usman Khalid, Aqib Jamil, 2018, CISIS.

Multi-Modal Three-Stream Network for Action Recognition

Jie Yu, Muhammad Usman Khalid, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Dictionary learning algorithms for functional magnetic resonance imaging

Muhammad Usman Khalid, 2015 .

Is First-Order Vector Autoregressive Model Optimal for fMRI Data?

Chee-Ming Ting, Sheikh Hussain Shaikh Salleh, Abd-Krim Seghouane, 2015, Neural Computation.

Constrained maximum likelihood based efficient dictionary learning for fMRI analysis

Abd-Krim Seghouane, Muhammad Usman Khalid, A. Seghouane, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

High-density microelectrode array system and optimal filtering for closed-loop experiments

Andreas Hierlemann, Muhammad Usman Khalid, Urs Frey, 2011, 2011 16th International Solid-State Sensors, Actuators and Microsystems Conference.

Towards Real-Time Opportunistic Scheduling of the Home Appliances Using Evolutionary Techniques

Nadeem Javaid, Zunaira Nadeem, Asad Waqar Malik, 2018, CISIS.

Multi-subject fMRI connectivity analysis using sparse dictionary learning and multiset canonical correlation analysis

Abd-Krim Seghouane, Muhammad Usman Khalid, A. Seghouane, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Increasing the Robustness of Random Bin Picking by Avoiding Grasps of Entangled Workpieces

Kilian Kleeberger, Felix Spenrath, Richard Bormann, 2020 .

Deep Workpiece Region Segmentation for Bin Picking

Marc Toussaint, Marco F. Huber, Werner Kraus, 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).

Comparing causality measures of fMRI data using PCA, CCA and vector autoregressive modelling

Abd-Krim Seghouane, Muhammad Usman Khalid, Adnan Shah, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Sparse dictionary learning for fMRI analysis using autocorrelation maximization

Abd-Krim Seghouane, Muhammad Usman Khalid, Adnan Shah, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Recovering HRFs from overlapping ROIs in fMRI data using thresholding correlations for sparse dictionary learning

Abd-Krim Seghouane, Muhammad Usman Khalid, Adnan Shah, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers

Marco F. Huber, Kilian Kleeberger, Richard Bormann, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Using Deep Neural Networks to Separate Entangled Workpieces in Random Bin Picking

Felix Spenrath, Richard Bormann, Muhammad Usman Khalid, 2021 .

Automatic Grasp Generation for Vacuum Grippers for Random Bin Picking

Marco F. Huber, Felix Spenrath, Holger Kunz, 2021 .

Efficient Blind Source Separation Method for fMRI Using Autoencoder and Spatiotemporal Sparsity Constraints

Muhammad Usman Khalid, M. M. Nauman, B. A. Khawaja, 2023, IEEE Access.

Sparse Group Bases for Multisubject fMRI Data

Muhammad Usman Khalid, 2022, IEEE Access.

Is First-Order Vector Autoregressive Model Optimal for fMRI Data?

Muhammad Usman Khalid, S. Salleh, A. Seghouane, 2015, Neural Computation.

Universiti Teknologi Malaysia from the Selectedworks of Chee-ming Ting Phd Is First-order Vector Autoregressive Model Optimal for Fmri Data? Is First-order Vector Autoregressive Model Optimal for Fmri Data?

Muhammad Usman Khalid, A. Seghouane, C. Ting, 2022 .