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2020 – today
- 2024
[j17]Danial Sharifrazi
, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti:
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach. Biomed. Signal Process. Control. 96: 106594 (2024)- [j16]Nouman Javed, Adam J. López-Denman, Prasad N. Paradkar, Asim Bhatti:
Flight traits of dengue-infected Aedes aegypti mosquitoes. Comput. Biol. Medicine 171: 108178 (2024) - [j15]Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Samer Hanoun, Dawei Jia, Simon G. Hosking, Asim Bhatti:
Evaluating Operator Training Performance Using Recurrence Quantification Analysis of Autocorrelation Transformed Eye Gaze Data. Hum. Factors 66(3): 818-838 (2024) - [i4]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Asim Bhatti, Saeid Nahavandi, Chee Peng Lim:
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis. CoRR abs/2407.15901 (2024) - [i3]Danial Sharifrazi, Nouman Javed, Javad Hassannataj Joloudari, Roohallah Alizadehsani, Prasad N. Paradkar, Ru San Tan, U. Rajendra Acharya, Asim Bhatti:
Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review. CoRR abs/2409.17516 (2024) - 2023
- [j14]Mohammed Algumaei, Imali T. Hettiarachchi, Mohamed Farghaly, Asim Bhatti:
The Neuroscience of Team Dynamics: Exploring Neurophysiological Measures for Assessing Team Performance. IEEE Access 11: 129173-129194 (2023) - [j13]Ngoc Duy Nguyen, Thanh Nguyen, Nhat Truong Pham, Hai Nguyen, Dang Tu Nguyen, Thanh Thi Nguyen, Chee Peng Lim, Michael Johnstone, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi:
Towards designing a generic and comprehensive deep reinforcement learning framework. Appl. Intell. 53(3): 2967-2988 (2023) - [j12]Long H. Nguyen, Nhat Truong Pham, Van Huong Do, Liu Tai Nguyen, Thanh Tin Nguyen, Hai Nguyen, Ngoc Duy Nguyen, Thanh Thi Nguyen, Sy Dzung Nguyen, Asim Bhatti, Chee Peng Lim:
Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds. Expert Syst. Appl. 213(Part): 119212 (2023) - [j11]Mohammed Algumaei, Imali Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti:
Physiological Synchrony Predict Task Performance and Negative Emotional State during a Three-Member Collaborative Task. Sensors 23(4): 2268 (2023) - [i2]Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti:
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis. CoRR abs/2312.08654 (2023) - 2022
- [c46]My Algumaei, Imali Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti:
Physiological Compliance during a Three Member Collaborative Computer Task. SMC 2022: 3348-3353 - [c45]Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Asim Bhatti:
Using Eye-tracking To Investigate The Effect of Gaze Co-occurrence and Distribution on Collaborative Performance. SysCon 2022: 1-8 - [c44]Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Asim Bhatti:
Gaze Convergence Based Collaborative Performance Prediction in a 3-Member Joint Activity Setting. SysCon 2022: 1-7 - 2021
- [c43]Muhammad Umer Hashmi, Ngoc Duy Nguyen, Michael Johnstone, Kathryn Backholer, Asim Bhatti:
Application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms. FDSE 2021: 68-80 - [c42]My Algumaei, Imali T. Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti:
Wavelet Packet Energy Features for EEG-Based Emotion Recognition. SMC 2021: 1935-1940 - [c41]Rakesh Veerabhadrappa, Imali T. Hettiarachchi, My Algumaei, Asim Bhatti:
A Deep Convolutional Neural Network Model for Classification of Emotions from Electroencephalography Data. SMC 2021: 1953-1958 - [c40]Imali T. Hettiarachchi, Samer Hanoun, Rakesh Veerabhadrappa, Dawei Jia, Simon Hosking, Asim Bhatti:
Performance Quantification and Heart Rate Analysis in A Repeated-trial Simulation-based Training Task. SysCon 2021: 1-7 - [c39]Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Asim Bhatti:
Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data. SysCon 2021: 1-8 - 2020
- [c38]Masood Ul Hassan, Rakesh Veerabhadrappa, James Zhang, Asim Bhatti:
Robust Optimal Parameter Estimation (OPE) for Unsupervised Clustering of Spikes Using Neural Networks. SMC 2020: 1286-1291
2010 – 2019
- 2019
- [c37]Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn Guest:
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery. SysCon 2019: 1-7 - [i1]Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn Guest:
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery. CoRR abs/1902.05183 (2019) - 2018
- [j10]Samer Hanoun, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi, Phillip Crothers, Gary Carroll:
Task Assignment in Camera Networks: A Reactive Approach for Manufacturing Environments. IEEE Syst. J. 12(1): 173-183 (2018) - [c36]Hailing Zhou, Lei Wei, Ran Cao, Samer Hanoun, Asim Bhatti, Yonghang Tai, Saeid Nahavandi:
The Study of Using Eye Movements to Control the Laparoscope Under a Haptically-Enabled Laparoscopic Surgery Simulation Environment. SMC 2018: 3022-3026 - [c35]Julie Iskander, Dawei Jia, Imali Hettiarachchi, Mohammed Hossny, Khaled Saleh, Saeid Nahavandi, Christopher J. Best, Simon G. Hosking, Benjamin Rice, Asim Bhatti, Samer Hanoun:
Age-Related Effects of Multi-screen Setup on Task Performance and Eye Movement Characteristics. SMC 2018: 3480-3485 - [c34]Khaled Saleh, Julie Iskander, Dawei Jia, Mohammed Hossny, Saeid Nahavandi, Christopher J. Best, Simon G. Hosking, Benjamin Rice, Asim Bhatti, Samer Hanoun:
Reliable Switching Mechanism for Low Cost Multi-screen Eye Tracking Devices via Deep Recurrent Neural Networks. SMC 2018: 3492-3497 - [c33]Julie Iskander, Imali Hettiarachchi, Samer Hanoun, Mohammed Hossny, Sofia Nahavandi, Asim Bhatti:
A classifier approach to multi-screen switching based on low cost eye-trackers. SysCon 2018: 1-6 - [c32]Julie Iskander, Samer Hanoun, Imali Hettiarachchi, Mostafa Hossny, Khaled Saleh, H. Zhou, Sofia Nahavandi, Asim Bhatti:
Eye behaviour as a hazard perception measure. SysCon 2018: 1-6 - 2017
- [j9]Rakesh Veerabhadrappa, Asim Bhatti, Michael Berk, Susannah J. Tye, Saeid Nahavandi:
Hierarchical estimation of neural activity through explicit identification of temporally synchronous spikes. Neurocomputing 249: 299-313 (2017) - [c31]Thanh Nguyen, Imali Hettiarachchi, Abbas Khosravi, Syed Moshfeq Salaken, Asim Bhatti, Saeid Nahavandi:
Multiclass EEG data classification using fuzzy systems. FUZZ-IEEE 2017: 1-6 - [c30]Samer Hanoun, James Zhang, Vu Le, Burhan Khan, Michael Johnstone, Michael Fielding, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi:
A framework for designing active Pan-Tilt-Zoom (PTZ) camera networks for surveillance applications. SysCon 2017: 1-6 - 2016
- [j8]Samer Hanoun, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi, Phillip Crothers, Celeste Gloria Esparza:
Target coverage in camera networks for manufacturing workplaces. J. Intell. Manuf. 27(6): 1221-1235 (2016) - 2015
- [j7]Thanh Nguyen, Asim Bhatti, Abbas Khosravi, Sherif Haggag, Douglas C. Creighton, Saeid Nahavandi:
Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes. Neurocomputing 153: 199-210 (2015) - [c29]Rakesh Veerabhadrappa, Asim Bhatti, Chee Peng Lim, Thanh Nguyen, Susannah J. Tye, Paul Monaghan, Saeid Nahavandi:
Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes. ICONIP (3) 2015: 261-272 - [c28]Shanmugam Lakshmanan, Chee Peng Lim, Asim Bhatti, David Yang Gao, Saeid Nahavandi:
Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach. ICONIP (3) 2015: 297-305 - [c27]Imali T. Hettiarachchi, Asim Bhatti, Paul A. Adlard, Saeid Nahavandi:
Multivariate Autoregressive-based Neuronal Network Flow Analysis for In-vitro Recorded Bursts. ICONIP (4) 2015: 324-331 - [c26]Burhan Khan, Asim Bhatti, Michael Johnstone, Samer Hanoun, Douglas C. Creighton, Saeid Nahavandi:
Optimal Feature Subset Selection for Neuron Spike Sorting Using the Genetic Algorithm. ICONIP (2) 2015: 364-370 - [c25]Burhan Khan, Julie Gaburro, Samer Hanoun, Jean-Bernard Duchemin, Saeid Nahavandi, Asim Bhatti:
Activity and Flight Trajectory Monitoring of Mosquito Colonies for Automated Behaviour Analysis. ICONIP (4) 2015: 548-555 - [c24]Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi:
Noise level classification for EEG using Hidden Markov Models. SoSE 2015: 439-444 - 2014
- [j6]Dawei Jia, Asim Bhatti, Saeid Nahavandi:
The impact of self-efficacy and perceived system efficacy on effectiveness of virtual training systems. Behav. Inf. Technol. 33(1): 16-35 (2014) - [c23]Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi:
Sparse Coding for Improved Signal-to-Noise Ratio in MRI. ICONIP (3) 2014: 258-265 - [c22]Julie Gaburro, Jean-Bernard Duchemin, Asim Bhatti, Peter Walker, Saeid Nahavandi:
Neurophysiology of Insects Using Microelectrode Arrays: Current Trends and Future Prospects. ICONIP (3) 2014: 493-500 - [c21]Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi:
Neuron's Spikes Noise Level Classification Using Hidden Markov Models. ICONIP (3) 2014: 501-508 - [c20]Thanh Nguyen, Abbas Khosravi, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi:
Neural signal analysis by landmark-based spectral clustering with estimated number of clusters. IJCNN 2014: 4042-4049 - [c19]Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi:
Neural spike representation using Cepstrum. SoSE 2014: 97-100 - 2013
- [j5]Dawei Jia, Asim Bhatti, Saeid Nahavandi, Ben Horan:
Human Performance Measures for Interactive Haptic-Audio-Visual Interfaces. IEEE Trans. Haptics 6(1): 46-57 (2013) - [c18]Hailing Zhou, Shady M. K. Mohamed, Asim Bhatti, Chee Peng Lim, Nong Gu, Sherif Haggag, Saeid Nahavandi:
Spike Sorting Using Hidden Markov Models. ICONIP (1) 2013: 553-560 - [c17]Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi:
Locally Sparsified Compressive Sensing for Improved MR Image Quality. SMC 2013: 2163-2167 - [c16]Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Nong Gu, Hailing Zhou, Saeid Nahavandi:
Cepstrum Based Unsupervised Spike Classification. SMC 2013: 3716-3720 - [c15]Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton, Asim Bhatti, Marwa Hassan:
Image Fusion Metrics: Evolution in a Nutshell. UKSim 2013: 443-450 - 2012
- [c14]Kyle Nelson, Asim Bhatti, Saeid Nahavandi:
Performance Evaluation of Multi-Frame Super-Resolution Algorithms. DICTA 2012: 1-8 - [c13]Kyle Nelson, Asim Bhatti, Saeid Nahavandi:
Super-resolution of a 3-dimensional scene from novel viewpoints. ICARCV 2012: 1380-1385 - [c12]Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi:
Non-uniform sparsity in rapid compressive sensing MRI. SMC 2012: 2253-2258 - 2010
- [c11]Asim Bhatti, Saeid Nahavandi, Mohammed Hossny:
Wavelets/multiwavelets bases and correspondence estimation problem: An analytic study. ICARCV 2010: 1725-1730 - [c10]Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton, Asim Bhatti:
Towards autonomous image fusion. ICARCV 2010: 1748-1754 - [c9]Saeid Nahavandi, Dawei Jia, Asim Bhatti:
Knowledge Visualization for Engineered Systems. KES (1) 2010: 5-13
2000 – 2009
- 2009
- [c8]Dawei Jia, Asim Bhatti, Chris Mawson, Saeid Nahavandi:
User-Centered Evaluation of a Virtual Environment Training System: Utility of User Perception Measures. HCI (13) 2009: 196-205 - [c7]Dawei Jia, Asim Bhatti, Saeid Nahavandi:
MUSTe method for quantifying virtual environment training system efficacy. OZCHI 2009: 305-308 - 2008
- [j4]Asim Bhatti, Saeid Nahavandi:
Stereo Correspondence Estimation Using Multiwavelets Scale-Space Representation-Based Multiresolution Analysis. Cybern. Syst. 39(6): 641-665 (2008) - [j3]Asim Bhatti, Saeid Nahavandi:
Depth Estimation Using Multiwavelet Analysis Based Stereo Vision Approach. Int. J. Wavelets Multiresolution Inf. Process. 6(3): 481-497 (2008) - 2007
- [j2]Asim Bhatti, Saeid Nahavandi, Yakov Frayman:
3D depth estimation for visual inspection using wavelet transform modulus maxima. Comput. Electr. Eng. 33(1): 48-57 (2007) - 2006
- [c6]Asim Bhatti, Saeid Nahavandi:
Stereo Image Matching Using Wavelet Scale-Space Representation. CGIV 2006: 267-272 - 2003
- [c5]Asim Bhatti, Saeid Nahavandi, Hong Zheng:
Image Matching using TI Multi-wavelet Transform. DICTA 2003: 937-946 - 2002
- [j1]Hüseyin Özkaramanli, Asim Bhatti, Bülent Bilgehan:
Multi-wavelets from B-spline super-functions with approximation order. Signal Process. 82(8): 1029-1046 (2002) - [c4]Hüseyin Özkaramanli, Asim Bhatti:
A unified approach for constructing multi-wavelets. ICASSP 2002: 1245-1248 - [c3]Asim Bhatti, Hüseyin Özkaramanli:
M-band multi-wavelets from spline super functions with approximation order. ICASSP 2002: 4172 - 2001
- [c2]Hüseyin Özkaramanli, Asim Bhatti, Tarik Kabakli:
Alperts multi-wavelets from spline super-functions. ICASSP 2001: 3665-3668 - [c1]Hüseyin Özkaramanli, Asim Bhatti, Bülent Bilgehan:
Multi-wavelets from spline super-functions with approximation order. ISCAS (2) 2001: 525-528
Coauthor Index
aka: Imali T. Hettiarachchi
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last updated on 2024-10-18 19:31 CEST by the dblp team
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