Can Federated Models Be Rectified Through Learning Negative Gradients?
Conference Proceeding
Tahir, A., Tan, Z., & Babaagba, K. O. (2024)
Can Federated Models Be Rectified Through Learning Negative Gradients?. In Big Data Technologies and Applications (18-32). https://doi.org/10.1007/978-3-031-52265-9_2
Federated Learning (FL) is a method to train machine learning (ML) models in a decentralised manner, while preserving the privacy of data from multiple clients. However, FL is...
Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence–Enabled Social Media Analysis
Journal Article
Cresswell, K., Tahir, A., Sheikh, Z., Hussain, Z., Domínguez Hernández, A., Harrison, E., …Hussain, A. (2021)
Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence–Enabled Social Media Analysis. Journal of Medical Internet Research, 23(5), https://doi.org/10.2196/26618
Background: The emergence of SARS-CoV-2 in late 2019 and its subsequent spread worldwide continues to be a global health crisis. Many governments consider contact tracing of c...
Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study
Journal Article
Hussain, A., Tahir, A., Hussain, Z., Sheikh, Z., Gogate, M., Dashtipour, K., …Sheikh, A. (in press)
Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study. Journal of Medical Internet Research, 23(4), https://doi.org/10.2196/26627
Background: Global efforts toward the development and deployment of a vaccine for COVID-19 are rapidly advancing. To achieve herd immunity, widespread administration of vaccin...
Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
Journal Article
Ahmed, R., Gogate, M., Tahir, A., Dashtipour, K., Al-tamimi, B., Hawalah, A., …Hussain, A. (2021)
Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts. Entropy, 23(3), https://doi.org/10.3390/e23030340
Offline Arabic Handwriting Recognition (OAHR) has recently become instrumental in the areas of pattern recognition and image processing due to its application in several field...
5G-FOG: Freezing of Gait Identification in Multi-Class Softmax Neural Network Exploiting 5G Spectrum
Conference Proceeding
Khan, J. S., Tahir, A., Ahmad, J., Shah, S. A., Abbasi, Q. H., Russell, G., & Buchanan, W. (2020)
5G-FOG: Freezing of Gait Identification in Multi-Class Softmax Neural Network Exploiting 5G Spectrum. In Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume 3. https://doi.org/10.1007/978-3-030-52243-8_3
Freezing of gait (FOG) is one of the most incapacitating and disconcerting symptom in Parkinson's disease (PD). FOG is the result of neural control disorder and motor impairme...
Sensor Fusion for Identification of Freezing of Gait Episodes Using Wi-Fi and Radar Imaging
Journal Article
Shah, S. A., Tahir, A., Ahmad, J., Zahid, A., Pervaiz, H., Shah, S. Y., …Abbasi, Q. H. (2020)
Sensor Fusion for Identification of Freezing of Gait Episodes Using Wi-Fi and Radar Imaging. IEEE Sensors Journal, 20(23), 14410-14422. https://doi.org/10.1109/jsen.2020.3004767
Parkinson’s disease (PD) is a progressive and neurodegenerative condition causing motor impairments. One of the major motor related impairments that present biggest challenge ...
Privacy-Preserving Non-Wearable Occupancy Monitoring System Exploiting Wi-Fi Imaging for Next-Generation Body Centric Communication
Journal Article
Aziz Shah, S., Ahmad, J., Tahir, A., Ahmed, F., Russell, G., Shah, S. Y., …Abbasi, Q. H. (2020)
Privacy-Preserving Non-Wearable Occupancy Monitoring System Exploiting Wi-Fi Imaging for Next-Generation Body Centric Communication. Micromachines, 11(4), https://doi.org/10.3390/mi11040379
Nano-scaled structures, wireless sensing, wearable devices, and wireless communications systems are anticipated to support the development of new next-generation technologies ...
Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning
Conference Proceeding
Ilyas, M., Ahmad, J., Lawson, A., Khan, J. S., Tahir, A., Adeel, A., …Hussain, A. (2020)
Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning. In Advances in Brain Inspired Cognitive Systems. , (76-85). https://doi.org/10.1007/978-3-030-39431-8_8
Prospective studies using longitudinal patient data can be used to help to predict responsiveness to Growth Hormone (GH) therapy and assess any suspected risks. In this paper,...