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ORCIDMd. Zia Uddin
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- affiliation: University of Oslo, Norway
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2020 – today
- 2024
[c28]Adel Baselizadeh
, Md. Zia Uddin, Weria Khaksar, Diana Saplacan Lindblom, Jim Torresen:
PriMA-Care: Privacy-Preserving Multi-modal Dataset for Human Activity Recognition in Care Robots. HRI (Companion) 2024: 233-237- [c27]Md. Zia Uddin:
A Privacy Protected Sleep Quality Prediction Approach Using Ultrawideband Ambient Sensor, Synthetic Data, and Deep Learning. ICMLT 2024: 58-63 - [i3]Murad Hasan, Shahriar Iqbal, Md. Billal Hossain Faisal, Md. Musnad Hossin Neloy, Md. Tonmoy Kabir, Md. Tanzim Reza, Md. Golam Rabiul Alam, Md. Zia Uddin:
A Computer Vision Based Approach for Stalking Detection Using a CNN-LSTM-MLP Hybrid Fusion Model. CoRR abs/2402.03417 (2024) - 2023
- [j37]Nele Põldvere, Md. Zia Uddin, Aleena Thomas:
The PolitiFact-Oslo Corpus: A New Dataset for Fake News Analysis and Detection. Inf. 14(12): 627 (2023) - [j36]Md. Adyelullahil Mamun, Hasnat Md. Abdullah, Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Md. Zia Uddin:
Affective social anthropomorphic intelligent system. Multim. Tools Appl. 82(23): 35059-35090 (2023) - [j35]Wajid Ali, Tanzeela Shaheen, Iftikhar Ul Haq, Hamza Ghazanfar Toor, Faraz Akram, Saeid Jafari, Md. Zia Uddin, Mohammad Mehedi Hassan:
Multiple-Attribute Decision Making Based on Intuitionistic Hesitant Fuzzy Connection Set Environment. Symmetry 15(3): 778 (2023) - [c26]Adel Baselizadeh, Weria Khaksar, Md. Zia Uddin, Diana Saplacan, Jim Torresen:
Privacy-Preserving User Pose Prediction for Safe and Efficient Human-Robot Interaction. CASE 2023: 1-8 - [c25]Md. Zia Uddin:
A Robust Approach for Real Time Activity Classification Using Wearable Sensors and Ensemble Learning. ICCMA 2023: 195-200 - [c24]Farzan Majeed Noori, Azeem Hafeez, Hafiz Malik, Md. Zia Uddin, Jim Torresen:
Source Linking Framework in Vehicular Networks for Security of Electric Vehicles using Machine Learning. VNC 2023: 207-214 - [i2]Md. Adyelullahil Mamun, Hasnat Md. Abdullah, Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Md. Zia Uddin:
Affective social anthropomorphic intelligent system. CoRR abs/2304.11046 (2023) - 2022
- [b1]Md. Zia Uddin:
Applied Machine Learning for Assisted Living, 2. Springer 2022, ISBN 978-3-031-11533-2, pp. 1-131 - [j34]Md. Rafiul Hassan, Md. Fakrul Islam, Md. Zia Uddin, Goutam Ghoshal, Mohammad Mehedi Hassan, Shamsul Huda, Giancarlo Fortino:
Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence. Future Gener. Comput. Syst. 127: 462-472 (2022) - [j33]Md. Zia Uddin, Kim Kristoffer Dysthe, Asbjørn Følstad, Petter Bae Brandtzaeg:
Deep learning for prediction of depressive symptoms in a large textual dataset. Neural Comput. Appl. 34(1): 721-744 (2022) - [j32]Md. Kalim Amzad Chy, Abdul Kadar Muhammad Masum, Kazi Abdullah Mohammad Sayeed, Md. Zia Uddin:
Delicar: A Smart Deep Learning Based Self Driving Product Delivery Car in Perspective of Bangladesh. Sensors 22(1): 126 (2022) - [c23]David Andreas Bordvik, Jie Hou, Farzan Majeed Noori, Md. Zia Uddin, Jim Torresen:
Monitoring In-Home Emergency Situation and Preserve Privacy using Multi-modal Sensing and Deep Learning. ICEIC 2022: 1-6 - [i1]Somoy Subandhu Barua, Imam Mohammad Zulkarnain, Abhishek Roy, Md. Golam Rabiul Alam, Md. Zia Uddin:
Sketch2FullStack: Generating Skeleton Code of Full Stack Website and Application from Sketch using Deep Learning and Computer Vision. CoRR abs/2211.14607 (2022) - 2021
- [j31]Farzan Majeed Noori, Md. Zia Uddin, Jim Tørresen:
Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning. IEEE Access 9: 138132-138143 (2021) - [j30]Mohammad Mehedi Hassan, Md. Rafiul Hassan, Md. Shamsul Huda, Md. Zia Uddin, Abdu Gumaei, Ahmed Alsanad:
A predictive intelligence approach to classify brain-computer interface based eye state for smart living. Appl. Soft Comput. 108: 107453 (2021) - [j29]Md. Zia Uddin, Trine M. Seeberg, Jan Kocbach, Anders E. Liverud, Victor Gonzalez, Øyvind Sandbakk, Frédéric Meyer:
Estimation of Mechanical Power Output Employing Deep Learning on Inertial Measurement Data in Roller Ski Skating. Sensors 21(19): 6500 (2021) - [j28]Haroon Khan, Farzan Majeed Noori, Anis Yazidi, Md. Zia Uddin, Malik Nasir Afzal Khan, Peyman Mirtaheri:
Classification of Individual Finger Movements from Right Hand Using fNIRS Signals. Sensors 21(23): 7943 (2021) - 2020
- [j27]Md. Zia Uddin, Erik G. Nilsson:
Emotion recognition using speech and neural structured learning to facilitate edge intelligence. Eng. Appl. Artif. Intell. 94: 103775 (2020) - [j26]Md. Zia Uddin, Mohammad Mehedi Hassan, Ahmed Alsanad, Claudio Savaglio:
A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare. Inf. Fusion 55: 105-115 (2020) - [j25]Farzan Majeed Noori, Michael Riegler, Md. Zia Uddin, Jim Tørresen:
Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs. ACM Trans. Multim. Comput. Commun. Appl. 16(2): 45:1-45:19 (2020)
2010 – 2019
- 2019
- [j24]Weria Khaksar, Md. Zia Uddin, Jim Tørresen:
Multiquery Motion Planning in Uncertain Spaces: Incremental Adaptive Randomized Roadmaps. Int. J. Appl. Math. Comput. Sci. 29(4): 641-654 (2019) - [j23]Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Md. Zia Uddin, Ahmad Almogren, Giancarlo Fortino:
Autonomic computation offloading in mobile edge for IoT applications. Future Gener. Comput. Syst. 90: 149-157 (2019) - [j22]Mohammad Mehedi Hassan, Md. Golam Rabiul Alam, Md. Zia Uddin, Md. Shamsul Huda, Ahmad Almogren, Giancarlo Fortino:
Human emotion recognition using deep belief network architecture. Inf. Fusion 51: 10-18 (2019) - [j21]Md. Zia Uddin:
A wearable sensor-based activity prediction system to facilitate edge computing in smart healthcare system. J. Parallel Distributed Comput. 123: 46-53 (2019) - [j20]Md. Golam Rabiul Alam, Md. Shirajum Munir, Md. Zia Uddin, Mohammed Shamsul Alam, Nguyen Dang Tri, Choong Seon Hong:
Edge-of-things computing framework for cost-effective provisioning of healthcare data. J. Parallel Distributed Comput. 123: 54-60 (2019) - [c22]Anders Skibeli Rokkones, Md. Zia Uddin, Jim Tørresen:
Facial Expression Recognition Using Robust Local Directional Strength Pattern Features and Recurrent Neural Network. ICCE-Berlin 2019: 283-288 - [c21]Farzan Majeed Noori, Md. Zia Uddin, Jim Tørresen:
Robot-Care for the Older People: Ethically Justified or Not? ICDL-EPIROB 2019: 43-47 - [c20]Farzan Majeed Noori, Enrique Garcia-Ceja, Md. Zia Uddin, Michael Riegler, Jim Tørresen:
Fusion of Multiple Representations Extracted from a Single Sensor's Data for Activity Recognition Using CNNs. IJCNN 2019: 1-6 - [c19]Md. Zia Uddin, Weria Khaksar, Jim Tørresen:
A Thermal Camera-based Activity Recognition Using Discriminant Skeleton Features and RNN. INDIN 2019: 777-782 - [c18]Md. Zia Uddin, Jim Tørresen:
Activity Recognition Using Smartphone Sensors, Robust Features, and Recurrent Neural Network. ISMICT 2019: 1-6 - [c17]Farzan Majeed Noori, Benedikte Wallace, Md. Zia Uddin, Jim Tørresen:
A Robust Human Activity Recognition Approach Using OpenPose, Motion Features, and Deep Recurrent Neural Network. SCIA 2019: 299-310 - 2018
- [j19]Mohammad Mehedi Hassan, Md. Zia Uddin, Amr Mohamed, Ahmad Almogren:
A robust human activity recognition system using smartphone sensors and deep learning. Future Gener. Comput. Syst. 81: 307-313 (2018) - [j18]Mohammad Mehedi Hassan, Md. Shamsul Huda, Md. Zia Uddin, Ahmad Almogren, Majed A. AlRubaian:
Human Activity Recognition from Body Sensor Data using Deep Learning. J. Medical Syst. 42(6): 99:1-99:8 (2018) - [j17]Md. Zia Uddin, Weria Khaksar, Jim Tørresen:
Ambient Sensors for Elderly Care and Independent Living: A Survey. Sensors 18(7): 2027 (2018) - [c16]Enrique Garcia-Ceja, Md. Zia Uddin, Jim Tørresen:
Classification of Recurrence Plots' Distance Matrices with a Convolutional Neural Network for Activity Recognition. ANT/SEIT 2018: 157-163 - [c15]Md. Zia Uddin, Jim Tørresen:
A Deep Learning-Based Human Activity Recognition in Darkness. CVCS 2018: 1-5 - [c14]Weria Khaksar, Md. Zia Uddin, Jim Tørresen:
Incremental Adaptive Probabilistic Roadmaps for Mobile Robot Navigation under Uncertain Condition. CCE 2018: 1-6 - [c13]Md. Zia Uddin, Weria Khaksar, Jim Tørresen:
Activity Recognition Using Deep Recurrent Neural Network on Translation and Scale-Invariant Features. ICIP 2018: 475-479 - [c12]Weria Khaksar, Md. Zia Uddin, Jim Tørresen:
Learning from Virtual Experience: Mapless Navigation with Neuro-Fuzzy Intelligence. IEEE Conf. on Intelligent Systems 2018: 117-124 - [c11]Weria Khaksar, Md. Zia Uddin, Jim Tørresen:
Neuro-Fuzzy Sampling: Safe and Fast Multi-query Randomized Path Planning for Mobile Robots. RiTA 2018: 13-27 - [c10]Weria Khaksar, Md. Zia Uddin, Jim Tørresen:
Self-Adjusting Roadmaps: A Fast Sampling-Based Path Planning Algorithm for Navigation in Unknown Environments. ROBIO 2018: 1094-1101 - 2017
- [j16]Md. Zia Uddin, Mohammad Mehedi Hassan, Ahmad Almogren, Atif Alamri, Majed A. AlRubaian, Giancarlo Fortino:
Facial Expression Recognition Utilizing Local Direction-Based Robust Features and Deep Belief Network. IEEE Access 5: 4525-4536 (2017) - [j15]Md. Hasanul Kabir, Md Sirajus Salekin, Md. Zia Uddin, Mohammad Abdullah-Al-Wadud:
Facial Expression Recognition From Depth Video With Patterns of Oriented Motion Flow. IEEE Access 5: 8880-8889 (2017) - [j14]Md. Zia Uddin, Weria Khaksar, Jim Tørresen:
Facial Expression Recognition Using Salient Features and Convolutional Neural Network. IEEE Access 5: 26146-26161 (2017) - [j13]Md. Zia Uddin, Mohammad Mehedi Hassan, Ahmad Almogren, Mansour Zuair, Giancarlo Fortino, Jim Tørresen:
A facial expression recognition system using robust face features from depth videos and deep learning. Comput. Electr. Eng. 63: 114-125 (2017) - [j12]Amit Kumar Das, Tamal Adhikary, Md. Abdur Razzaque, Majed A. AlRubaian, Mohammad Mehedi Hassan, Md. Zia Uddin, Biao Song:
Big media healthcare data processing in cloud: a collaborative resource management perspective. Clust. Comput. 20(2): 1599-1614 (2017) - [j11]Md. Zia Uddin, Jaehyoun Kim:
A Robust Approach for Human Activity Recognition Using 3-D Body Joint Motion Features with Deep Belief Network. KSII Trans. Internet Inf. Syst. 11(2): 1118-1133 (2017) - [j10]Md. Zia Uddin:
Human activity recognition using segmented body part and body joint features with hidden Markov models. Multim. Tools Appl. 76(11): 13585-13614 (2017) - [c9]Md. Zia Uddin, Weria Khaksar, Jim Tørresen:
Human activity recognition using robust spatiotemporal features and convolutional neural network. MFI 2017: 144-149 - [c8]Md. Zia Uddin, Weria Khaksar, Jim Tørresen:
A robust gait recognition system using spatiotemporal features and deep learning. MFI 2017: 156-161 - 2016
- [j9]Md. Zia Uddin, Jaehyoun Kim:
A Local Feature-Based Robust Approach for Facial Expression Recognition from Depth Video. KSII Trans. Internet Inf. Syst. 10(3): 1390-1403 (2016) - [j8]Md. Zia Uddin, Jaehyoun Kim:
Human Activity Recognition Using Spatiotemporal 3-D Body Joint Features with Hidden Markov Models. KSII Trans. Internet Inf. Syst. 10(6): 2767-2780 (2016) - [j7]Md. Zia Uddin:
A depth video-based facial expression recognition system utilizing generalized local directional deviation-based binary pattern feature discriminant analysis. Multim. Tools Appl. 75(12): 6871-6886 (2016) - [c7]Md. Zia Uddin, Mi Ryang Kim:
A Deep Learning-Based Gait Posture Recognition from Depth Information for Smart Home Applications. CSA/CUTE 2016: 407-413 - 2015
- [j6]Md. Zia Uddin, Deok-Hwan Kim, Tae-Seong Kim:
A human activity recognition system using hmms with gda on enhanced independent component features. Int. Arab J. Inf. Technol. 12(3): 304-310 (2015) - [j5]Md. Zia Uddin, Mohammad Mehedi Hassan:
A depth video-based facial expression recognition system using radon transform, generalized discriminant analysis, and hidden Markov model. Multim. Tools Appl. 74(11): 3675-3690 (2015) - [j4]Md. Zia Uddin, Tae-Seong Kim:
3-D body joint-specific HMM-based approach for human activity recognition from stereo posture image sequence. Multim. Tools Appl. 74(24): 11207-11222 (2015) - [c6]Md. Zia Uddin:
A spatiotemporal feature-based approach for facial expression recognition from depth video. ICDIP 2015: 96311C - 2014
- [c5]Md. Zia Uddin:
A Robust Daily Human Activity Recognition and Prediction System. C3S2E 2014: 12:1-12:8 - 2012
- [j3]Ahmad Jalal, Md. Zia Uddin, Tae-Seong Kim:
Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home. IEEE Trans. Consumer Electron. 58(3): 863-871 (2012) - 2011
- [c4]Md. Zia Uddin, Kyung Min Byun, Min Hyoung Cho, Soo Yeol Lee, Gon Khang, Tae-Seong Kim:
A Spanning Tree-Based Human Activity Prediction System Using Life Logs from Depth Silhouette-Based Human Activity Recognition. CAIP (1) 2011: 302-309 - [c3]Ahmad Jalal, Md. Zia Uddin, Jeong Tai Kim, Tae-Seong Kim:
Daily Human Activity Recognition Using Depth Silhouettes and R\mathcal{R} Transformation for Smart Home. ICOST 2011: 25-32 - 2010
- [j2]Md. Zia Uddin, J. J. Lee, Tae-Seong Kim:
Independent shape component-based human activity recognition via Hidden Markov Model. Appl. Intell. 33(2): 193-206 (2010) - [c2]Md. Zia Uddin, Nguyen Duc Thang, Tae-Seong Kim:
Human Activity Recognition via 3-D joint angle features and Hidden Markov models. ICIP 2010: 713-716
2000 – 2009
- 2009
- [j1]Md. Zia Uddin, J. J. Lee, Tae-Seong Kim:
An enhanced independent component-based human facial expression recognition from video. IEEE Trans. Consumer Electron. 55(4): 2216-2224 (2009) - 2008
- [c1]Md. Zia Uddin, J. J. Lee, Tae-Seong Kim:
Shape-Based Human Activity Recognition Using Independent Component Analysis and Hidden Markov Model. IEA/AIE 2008: 245-254
Coauthor Index
Jim Tørresen
aka: Jim Torresen
aka: Jim Torresen
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last updated on 2024-10-16 20:31 CEST by the dblp team
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