no code implementations • 6 May 2024 • Md Main Uddin Rony, Md Mahfuzul Haque, Mohammad Ali, Ahmed Shatil Alam, Naeemul Hassan
In the digital age, the prevalence of misleading news headlines poses a significant challenge to information integrity, necessitating robust detection mechanisms.
no code implementations • Biomedical Signal Processing and Control 2023 • Akter, Tania Shahriare Satu, Md Khan, Md Imran Ali, Mohammad Hanif Uddin, Shahadat Lio, Pietro Quinn, Julian M.W. Moni, Mohammad Ali
After these analyses, several feature selection techniques were used with these Z-score-transformed datasets to identify the significant ASD risk factors for the toddler, child, adolescent and adult subjects.
no code implementations • 10 Sep 2021 • Ivo Batkovic, Mohammad Ali, Paolo Falcone, Mario Zanon
Model Predictive Control (MPC) formulations are typically built on the requirement that a feasible reference trajectory is available.
no code implementations • 25 Oct 2020 • Mohammad Ali
Health Monitoring and Management System (HMMS) is an emerging technology for decades.
Human-Computer Interaction
1 code implementation • COLING (WANLP) 2020 • Bashar Talafha, Mohammad Ali, Muhy Eddin Za'ter, Haitham Seelawi, Ibraheem Tuffaha, Mostafa Samir, Wael Farhan, Hussein T. Al-Natsheh
Our winning solution itself came in the form of an ensemble of different training iterations of our pre-trained BERT model, which achieved a micro-averaged F1-score of 26. 78% on the subtask at hand.
no code implementations • 30 Jan 2020 • Ivo Batkovic, Mohammad Ali, Paolo Falcone, Mario Zanon
In Model Predictive Control (MPC) formulations of trajectory tracking problems, infeasible reference trajectories and a-priori unknown constraints can lead to cumbersome designs, aggressive tracking, and loss of recursive feasibility.
no code implementations • 1 Aug 2019 • Tommy Tram, Ivo Batkovic, Mohammad Ali, Jonas Sjöberg
In this paper, we propose a decision making algorithm intended for automated vehicles that negotiate with other possibly non-automated vehicles in intersections.
no code implementations • 24 Oct 2018 • Tommy Tram, Anton Jansson, Robin Grönberg, Mohammad Ali, Jonas Sjöberg
Moreover, inferring information over time is important to distinguish between different intentions and is shown by comparing the collision rate between a Deep Recurrent Q-Network at 0. 85% and a Deep Q-learning at 1. 75%.
1 code implementation • 6 Mar 2018 • Wen Wei Loh, Michael G. Hudgens, John D. Clemens, Mohammad Ali, Michael E. Emch
Permitting right censored outcomes is challenging because standard randomization-based tests of the null hypothesis of no treatment effect assume that whether an individual is censored does not depend on treatment.
Methodology
1 code implementation • 13 Nov 2017 • Brian G. Barkley, Michael G. Hudgens, John D. Clemens, Mohammad Ali, Michael E. Emch
Inverse probability-weighted estimators for these estimands are proposed.
Methodology