Formulations and Algorithms to Find Maximal and Maximum Independent Sets of Graphs
Conference Proceeding
We propose four algorithms to find maximal and maximum independent sets of graphs. Two of the algorithms are non-polynomial in time, mainly binary programming and non-convex m...
Comparing the Performance of Different Classifiers for Posture Detection
Conference Proceeding
Suresh Kumar, S., Dashtipour, K., Gogate, M., Ahmad, J., Assaleh, K., Arshad, K., …Ahmad, W. (2022)
Comparing the Performance of Different Classifiers for Posture Detection. In Body Area Networks. Smart IoT and Big Data for Intelligent Health Management. BODYNETS 2021 (210-218). https://doi.org/10.1007/978-3-030-95593-9_17
Human Posture Classification (HPC) is used in many fields such as human computer interfacing, security surveillance, rehabilitation, remote monitoring, and so on. This paper c...
Live Demonstration: Real-time Multi-modal Hearing Assistive Technology Prototype
Conference Proceeding
Hearing loss affects at least 1.5 billion people globally. The WHO estimates 83% of people who could benefit from hearing aids do not use them. Barriers to HA uptake are multi...
Live Demonstration: Cloud-based Audio-Visual Speech Enhancement in Multimodal Hearing-aids
Conference Proceeding
Hearing loss is among the most serious public health problems, affecting as much as 20% of the worldwide population. Even cutting-edge multi-channel audio-only speech enhancem...
The P vs. NP Problem and Attempts to Settle It via Perfect Graphs State-of-the-Art Approach
Presentation / Conference Contribution
Heal, M., Dashtipour, K., & Gogate, M. (2023, March)
The P vs. NP Problem and Attempts to Settle It via Perfect Graphs State-of-the-Art Approach. Presented at 2023 Future of Information and Communication Conference (FICC), San Francisco, CA
The P vs. NP problem is a major problem in computer science. It is perhaps the most celebrated outstanding problem in that domain. Its solution would have a tremendous impact ...
Towards Pose-Invariant Audio-Visual Speech Enhancement in the Wild for Next-Generation Multi-Modal Hearing Aids
Conference Proceeding
Classical audio-visual (AV) speech enhancement (SE) and separation methods have been successful at operating under constrained environments; however, the speech quality and in...
AVSE Challenge: Audio-Visual Speech Enhancement Challenge
Conference Proceeding
Aldana Blanco, A. L., Valentini-Botinhao, C., Klejch, O., Gogate, M., Dashtipour, K., Hussain, A., & Bell, P. (2023)
AVSE Challenge: Audio-Visual Speech Enhancement Challenge. In 2022 IEEE Spoken Language Technology Workshop (SLT) (465-471). https://doi.org/10.1109/slt54892.2023.10023284
Audio-visual speech enhancement is the task of improving the quality of a speech signal when video of the speaker is available. It opens-up the opportunity of improving speech...
Intrusion Detection Systems Using Machine Learning
Book Chapter
Taylor, W., Hussain, A., Gogate, M., Dashtipour, K., & Ahmad, J. (2024)
Intrusion Detection Systems Using Machine Learning. In W. Boulila, J. Ahmad, A. Koubaa, M. Driss, & I. Riadh Farah (Eds.), Decision Making and Security Risk Management for IoT Environments (75-98). Springer. https://doi.org/10.1007/978-3-031-47590-0_5
Intrusion detection systems (IDS) have developed and evolved over time to form an important component in network security. The aim of an intrusion detection system is to succe...
Fake News in Social Media: Fake News Themes and Intentional Deception in the News and on Social Media
Book Chapter
Idrees, H., Dashtipour, K., Hussain, T., & Gogate, M. (2024)
Fake News in Social Media: Fake News Themes and Intentional Deception in the News and on Social Media. In W. Boulila, J. Ahmad, A. Koubaa, M. Driss, & I. Riadh Farah (Eds.), Decision Making and Security Risk Management for IoT Environments (219-229). Springer. https://doi.org/10.1007/978-3-031-47590-0_11
From the start of the twenty-first century, online views and clicks have only increased. Within the last twenty years that has embedded through the use of social media. Within...
Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids
Presentation / Conference Contribution
Nezamdoust, A., Gogate, M., Dashtipour, K., Hussain, A., & Comminiello, D. (2023, June)
Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids. Presented at 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece
The problem of feedback cancellation can be seen as a function approximation task, which often is nonlinear in real-world hearing assistive technologies. Nonlinear methods ado...