Md. Atiqur Rahman Ahad
Orcid: 0000-0001-8355-7004
According to our database1,
Md. Atiqur Rahman Ahad
authored at least 71 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Deep learning with image-based autism spectrum disorder analysis: A systematic review.
Eng. Appl. Artif. Intell., January, 2024
Improving Gait Recognition Through Occlusion Detection and Silhouette Sequence Reconstruction.
IEEE Access, 2024
Bacterial Behaviour Analysis Through Image Segmentation Using Deep Learning Approaches.
Proceedings of the Artificial Intelligence in Healthcare - First International Conference, 2024
Optimizing Endotracheal Suctioning Classification: Leveraging Prompt Engineering in Machine Learning for Feature Selection.
Proceedings of the International Conference on Activity and Behavior Computing, 2024
2023
Pattern Recognit., April, 2023
Autism Spectrum Disorder Classification via Local and Global Feature Representation of Facial Image.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
ASD-EVNet: An Ensemble Vision Network based on Facial Expression for Autism Spectrum Disorder Recognition.
Proceedings of the 18th International Conference on Machine Vision and Applications, 2023
Proceedings of the IEEE International Joint Conference on Biometrics, 2023
2022
Pattern Recognit. Lett., 2022
Frontiers Comput. Neurosci., 2022
Automated Detection Approaches to Autism Spectrum Disorder Based on Human Activity Analysis: A Review.
Cogn. Comput., 2022
Proceedings of the IEEE International Joint Conference on Biometrics, 2022
2021
Intelligent Systems Reference Library 173, Springer, ISBN: 978-3-030-51378-8, 2021
Recognition of human locomotion on various transportations fusing smartphone sensors.
Pattern Recognit. Lett., 2021
Static postural transition-based technique and efficient feature extraction for sensor-based activity recognition.
Pattern Recognit. Lett., 2021
Pattern Recognit. Lett., 2021
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques.
IEEE Access, 2021
Task Detection of ASD Children by Analyzing Robotic Enhanced and Standard Human Therapy.
Proceedings of the Thirteenth International Conference on Mobile Computing and Ubiquitous Network, 2021
Proceedings of the International IEEE Joint Conference on Biometrics, 2021
Feature-based Method for Nurse Care Complex Activity Recognition from Accelerometer Sensor.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021
An Empirical Approach for Human Locomotion and Transportation Recognition from Radio Data.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021
Nurse Care Activity Recognition: A Cost-Sensitive Ensemble Approach to Handle Imbalanced Class Problem in the Wild.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021
Nurse Care Activity Recognition from Accelerometer Sensor Data Using Fourier- and Wavelet-based Features.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021
Classical Machine Learning Approach for Human Activity Recognition Using Location Data.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021
Proceedings of the Sensor- and Video-Based Activity and Behavior Computing, 2021
Can Ensemble of Classifiers Provide Better Recognition Results in Packaging Activity?
Proceedings of the Sensor- and Video-Based Activity and Behavior Computing, 2021
Lunch-Box Preparation Activity Understanding from Motion Capture Data Using Handcrafted Features.
Proceedings of the Sensor- and Video-Based Activity and Behavior Computing, 2021
Proceedings of the Sensor- and Video-Based Activity and Behavior Computing, 2021
2020
IEEE Trans. Hum. Mach. Syst., 2020
Sensors, 2020
UPIC: user and position independent classical approach for locomotion and transportation modes recognition.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020
Nurse care activity recognition: using random forest to handle imbalanced class problem.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020
A pragmatic signal processing approach for nurse care activity recognition using classical machine learning.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020
2019
Spatio-temporal silhouette sequence reconstruction for gait recognition against occlusion.
IPSJ Trans. Comput. Vis. Appl., 2019
Proceedings of the 2019 International Conference on Biometrics, 2019
Position independent activity recognition using shallow neural architecture and empirical modeling.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
POIDEN: position and orientation independent deep ensemble network for the classification of locomotion and transportation modes.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Frontiers ICT, 2018
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
Feature Extraction, Performance Analysis and System Design Using the DU Mobility Dataset.
IEEE Access, 2018
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
A Comparative Approach to Classification of Locomotion and Transportation Modes Using Smartphone Sensor Data.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
2017
Intell. Decis. Technol., 2017
Visual face scanning and emotion perception analysis between autistic and typically developing children.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017
2016
Pedestrian activity classification using patterns of motion and histogram of oriented gradient.
J. Multimodal User Interfaces, 2016
Action recognition based on binary patterns of action-history and histogram of oriented gradient.
J. Multimodal User Interfaces, 2016
2015
Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015
2014
Signal Image Video Process., 2014
2013
Pattern Recognit. Lett., 2013
Proceedings of the Second International Conference on Robot, Vision and Signal Processing, 2013
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013
Springer Briefs in Computer Science, Springer, ISBN: 978-1-4471-4729-9, 2013
2012
2011
Computer Vision and Action Recognition - A Guide for Image Processing and Computer Vision Community for Action Understanding
Atlantis Ambient and Pervasive Intelligence 5, Atlantis Press, ISBN: 978-94-91216-20-6, 2011
Approaches for global-based action representations for games and action understanding.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011
2010
Analysis of Motion Self-Occlusion Problem Due to Motion Overwriting for Human Activity Recognition.
J. Multim., 2010
Action recognition by employing combined directional motion history and energy images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Int. J. Imaging Syst. Technol., 2009
2008
Proceedings of the IEEE International Conference on Systems, 2008
Complex Motion Separation and Recognition Using Directional Motion Templates.
Proceedings of the Image Analysis, 2008
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008