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Raja Majid Mehmood
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2020 – today
- 2024
- [j25]Mehmet Yilmaz, Erkut Yalçin, Saif Kifah, Fatih Demir, Abdulkadir Sengür, Rozerin Demir, Raja Majid Mehmood:
Improving the Classification Performance of Asphalt Cracks After Earthquake With a New Feature Selection Algorithm. IEEE Access 12: 6604-6614 (2024) - 2023
- [j24]Puah Jia Hong, Muhammad Adeel Asghar, Amin Ullah, Mohammad Shorfuzzaman, Mehedi Masud, Raja Majid Mehmood:
AI-based Bayesian inference scheme to recognize electroencephalogram signals for smart healthcare. Clust. Comput. 26(2): 1221-1230 (2023) - [j23]Zijian Zhou, Muhammad Adeel Asghar, Daniyal Nazir, Kamran Siddique, Mohammad Shorfuzzaman, Raja Majid Mehmood:
An AI-empowered affect recognition model for healthcare and emotional well-being using physiological signals. Clust. Comput. 26(2): 1253-1266 (2023) - [j22]Islam Zada, Sara Shahzad, Shaukat Ali, Raja Majid Mehmood:
OntoSuSD: Software engineering approaches integration ontology for sustainable software development. Softw. Pract. Exp. 53(2): 283-317 (2023) - 2022
- [j21]Ahmad Sajjad, Wasim Ahmad, Salman Hussain, Raja Majid Mehmood:
Development of Innovative Operational Flexibility Measurement Model for Smart Systems in Industry 4.0 Paradigm. IEEE Access 10: 6760-6774 (2022) - [j20]Berna Ari, Kamran Siddique, Ömer Faruk Alçin, Muzaffer Aslan, Abdulkadir Sengür, Raja Majid Mehmood:
Wavelet ELM-AE Based Data Augmentation and Deep Learning for Efficient Emotion Recognition Using EEG Recordings. IEEE Access 10: 72171-72181 (2022) - [j19]Muhammad Adeel Asghar, Muhammad Jamil Khan, Muhammad Rizwan, Mohammad Shorfuzzaman, Raja Majid Mehmood:
AI inspired EEG-based spatial feature selection method using multivariate empirical mode decomposition for emotion classification. Multim. Syst. 28(4): 1275-1288 (2022) - [j18]Mehak Sheikh, Muhammad Adeel Asghar, Ruqia Bibi, Muhammad Noman Malik, Mohammad Shorfuzzaman, Raja Majid Mehmood, Sun-Hee Kim:
DFT-Net: Deep Feature Transformation Based Network for Object Categorization and Part Segmentation in 3-Dimensional Point Clouds. Sensors 22(7): 2512 (2022) - 2021
- [j17]Muhammad Adeel Asghar, Muhammad Jamil Khan, Humayun Shahid, Mohammad Shorfuzzaman, Neal Naixue Xiong, Raja Majid Mehmood:
Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification. IEEE Access 9: 13378-13389 (2021) - [j16]Amin Ullah, Sadaqat ur Rehman, Shanshan Tu, Raja Majid Mehmood, Fawad, Muhammad Ehatisham-ul-Haq:
A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal. Sensors 21(3): 951 (2021) - [j15]Muhammad Shahid Iqbal, Iftikhar Ahmad, Muhammad Asif, Sun-Hee Kim, Raja Majid Mehmood:
Drug investigation tool: Identifying the effect of drug on cell image by using improved correlation. Softw. Pract. Exp. 51(2): 260-270 (2021) - [j14]Muneer Ahmad, Iftikhar Ahmad, Muhammad Bilal, Alireza Jolfaei, Raja Majid Mehmood:
INSWF DNA signal analysis tool: Intelligent noise suppression window filter. Softw. Pract. Exp. 51(3): 670-685 (2021) - [j13]Raja Majid Mehmood, Hyung-Jeong Yang, Sun-Hee Kim:
Children Emotion Regulation: Development of Neural Marker by Investigating Human Brain Signals. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j12]Abdullah Lakhan, Muneer Ahmad, Muhammad Bilal, Alireza Jolfaei, Raja Majid Mehmood:
Mobility Aware Blockchain Enabled Offloading and Scheduling in Vehicular Fog Cloud Computing. IEEE Trans. Intell. Transp. Syst. 22(7): 4212-4223 (2021) - [i2]Muhammad Basit Umair, Zeshan Iqbal, Muhammad Bilal, Tarik Adnan Almohamad, Jamel Nebhen, Raja Majid Mehmood:
An Efficient Internet Traffic Classification System Using Deep Learning for IoT. CoRR abs/2107.12193 (2021) - 2020
- [j11]Madhumita Panda, Sujata Dash, Anand Nayyar, Muhammad Bilal, Raja Majid Mehmood:
Test Suit Generation for Object Oriented Programs: A Hybrid Firefly and Differential Evolution Approach. IEEE Access 8: 179167-179188 (2020) - [j10]Zain-Ul-Abdin, Tahir Mahmood, Mohammad Shorfuzzaman, Neal N. Xiong, Raja Majid Mehmood:
Aiding Prosumers by Solar Cell Parameter Optimization Using a Hybrid Technique for Achieving Near Realistic P-V Characteristics. IEEE Access 8: 225416-225423 (2020) - [j9]Amin Ullah, Syed Muhammad Anwar, Muhammad Bilal, Raja Majid Mehmood:
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation. Remote. Sens. 12(10): 1685 (2020) - [j8]Muhammad Saqib, Tarik Adnan Almohamad, Raja Majid Mehmood:
A Low-Cost Information Monitoring System for Smart Farming Applications. Sensors 20(8): 2367 (2020) - [j7]Muhammad Adeel Asghar, Muhammad Jamil Khan, Muhammad Rizwan, Raja Majid Mehmood, Sun-Hee Kim:
An Innovative Multi-Model Neural Network Approach for Feature Selection in Emotion Recognition Using Deep Feature Clustering. Sensors 20(13): 3765 (2020) - [j6]Sun-Hee Kim, Hyung-Jeong Yang, Thi Anh Ngoc Nguyen, Raja Majid Mehmood, Seong-Whan Lee:
Parameter Estimation Using Unscented Kalman Filter on the Gray-Box Model for Dynamic EEG System Modeling. IEEE Trans. Instrum. Meas. 69(9): 6175-6185 (2020) - [i1]Amin Ullah, Syed Muhammad Anwar, Muhammad Bilal, Raja Majid Mehmood:
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation. CoRR abs/2005.06902 (2020)
2010 – 2019
- 2019
- [j5]Muhammad Saqib, Farrukh Zeeshan Khan, Muneer Ahmed, Raja Majid Mehmood:
A critical review on security approaches to software-defined wireless sensor networking. Int. J. Distributed Sens. Networks 15(12) (2019) - 2017
- [j4]Raja Majid Mehmood, Ruoyu Du, Hyo Jong Lee:
Optimal Feature Selection and Deep Learning Ensembles Method for Emotion Recognition From Human Brain EEG Sensors. IEEE Access 5: 14797-14806 (2017) - [j3]Raja Majid Mehmood, Hyo Jong Lee:
Towards Building a Computer Aided Education System for Special Students Using Wearable Sensor Technologies. Sensors 17(2): 317 (2017) - 2016
- [j2]Raja Majid Mehmood, Hyo Jong Lee:
A novel feature extraction method based on late positive potential for emotion recognition in human brain signal patterns. Comput. Electr. Eng. 53: 444-457 (2016) - [c4]Raja Majid Mehmood, Hyo Jong Lee:
Toward an analysis of emotion regulation in children using late positive potential. EMBC 2016: 279-282 - [c3]Raja Majid Mehmood, Hyo Jong Lee:
Emotion recognition from EEG brain signals based on particle swarm optimization and genetic search. ICME Workshops 2016: 1-5 - 2015
- [j1]Raja Majid Mehmood, Hyo Jong Lee:
Exploration of Prominent Frequency Wave in EEG Signals from Brain Sensors Network. Int. J. Distributed Sens. Networks 11: 386057:1-386057:9 (2015) - [c2]Yongbin Gao, Hyo Jong Lee, Raja Majid Mehmood:
Deep learninig of EEG signals for emotion recognition. ICME Workshops 2015: 1-5 - [c1]Raja Majid Mehmood, Hyo Jong Lee:
Emotion classification of EEG brain signal using SVM and KNN. ICME Workshops 2015: 1-5
Coauthor Index
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last updated on 2024-04-24 23:06 CEST by the dblp team
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