Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology by Muhammad Shehab (16904880)

“…Furthermore, our findings show that as channel correlation increases, DRL’s performance improves, capitalizing on the correlation for enhanced statistical learning</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of the Communications Society<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojcoms.2024.3357701" target="_blank">https://dx.doi.org/10.1109/ojcoms.2024.3357701</a></p>…”

Crash risk in morbidly obese drivers before and after bariatric surgery: A population-based cohort study by Junaid Ahmad Bhatti (366799)

“…Morbid obesity may be associated with increased crash risk. These findings favor crash risk assessment in morbidly obese drivers.…”

Driving and dementia: What factors influence how physicians address the issue? Data from the Swedish Dementia Registry (SveDem) by Dorota Religa (402059)

“…Male gender (OR 2.97, p<0.001) and living alone was associated with an increased likelihood of being reported to the STA. …”

How do drivers choose a travel speed? Implications for speed management strategies in Australia by Jennifer Oxley (10057811)

“…There are opportunities to review and strengthen speed management policies and practices with a view to creating environments that promote safe behaviour rather than relying on drivers/riders to decide what is a safe speed, complemented by strengthened Police enforcement and increased community knowledge and awareness of the importance of speed to road trauma.…”

Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring by Zina Chkirbene (16869987)

“…<p dir="ltr">The traditional healthcare system is increasingly challenged by its dependence on inperson consultations and manual monitoring, struggling with issues of scalability, the immediacy of care, and efficient resource allocation. …”

BTRAC – Bangalore traffic improvement project – A case study by Sanjeev Kumar (279609)

“…<p dir="ltr">From 3 lakh vehicles in 1985, to about 53 lakh now, vehicle population in Bangalore has increased more than five fold during the last two decades. …”

Soft Computing-Based Damping Controllers With Online Parameters Tuning for Stability Enhancement of Power Systems by Farman Ullah Jan (22278835)

“…<p dir="ltr">Power system stability continues to be a major challenge as modern grids grow more complex, uncertain, and increasingly reliant on renewable energy sources. This paper presents two new Neuro-Fuzzy controllers for Static Synchronous Compensators (STATCOMs): the Direct Chebyshev Wavelet-Based Neuro-Fuzzy Controller (DNF-CW), which adapts parameters online using fixed-structure rules, and the Indirect Chebyshev Wavelet-Based Neuro-Fuzzy Controller (IDNF-CW), which uses an online identifier to measure plant sensitivity. …”

Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

“…<p dir="ltr">With the rapid amount of deforestation around the world, wild animals lose their habitat and move closer to human settlements, leading to increased human-wildlife conflict and the loss of important human lives, livestock, and rare wild animal species. …”

An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques by Fariha Haque (21485518)

“…However, manual diagnosis is labor-intensive, requiring the specialized expertise of radiologists, and the increasing number of cancer cases presents challenges in processing large volumes of image data efficiently. …”

An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan by Ghulam Abbas (764241)

“…The numerical results reveal that NEPFM-SSA outshined NEPFM for all the cases under consideration, authenticating its workability. This increased accuracy results in improving the reliability of assessments of wind energy and the wider operation of wind energy installations. …”

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

“…<p dir="ltr">The integration of unmanned aerial vehicles (UAVs) in the Industrial Internet of Things (IIoT) for smart city applications has been gaining significant attention. UAV swarms are increasingly employed to monitor ground-based IIoT devices in smart cities, offering valuable support to situation-awareness IoT applications, such as surveillance, traffic management, and emergency response. …”

Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks by Zahraa Ismail (22457644)

“…The comparative analysis of model complexity confirmed that increasing the sophistication of the LSTM model significantly enhances predictive accuracy and generalization capabilities. …”

THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis by Mohammad Javad Saber (4334227)

“…<p dir="ltr">Unmanned aerial vehicles (UAVs) are increasingly being utilized as mobile base stations for rapidly establishing temporary wireless coverage in emergency situations and remote locations. …”

A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition by Hanif Heidari (22467148)

“…Most improved RF versions modify attribute selection processes or combine them with other machine learning algorithms, increasing their complexity. Identifying an appropriate training dataset and determining its size remain open questions. …”

Secrecy Performance of a RIS-Assisted Wireless Network: A Comprehensive Analysis Under Outdated CSI by Tasneem Alshamaseen (22392382)

“…This resilience indicates that the system can reduce channel estimation frequency to reconfigure the RIS, thus decreasing overall system overhead and complexity and improving energy efficiency. Moreover, increasing the number of REs can mitigate CSI aging effects where an SOP level of 3×10⁻⁵ can be achieved with 140 REs at <i>ρ</i>=0.9 in the absence of a transmitter-receiver direct link. …”

Lead exposure of Bangladeshi women at childbearing age: Does mother's education reduce fetal risk factors? by Sharmind Neelotpol (19732277)

“…Depending on its concentration in the body, lead may cause lower IQ level, autism, abnormal pregnancy outcome, abortion, and increased involvement in crime. As lead can cross the placental barrier and affect the fetus, pregnant women, fetuses, and children are more vulnerable to lead poisoning because of rapid bone mobilization and neurodevelopment. …”

Reducing injuries among young drivers: what kind of measures are needed? by Hans-Yngve Berg (19794540)

“…For example, communication campaigns and increased enforcement may be used simultaneously and in particular target young males. …”

LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis by Saeif Alhazbi (17058108)

“…<p dir="ltr">As Large Language Models (LLMs) become increasingly integrated into many technological ecosystems across various domains and industries, identifying which model is deployed or being interacted with is critical for the security and trustworthiness of the systems. …”

Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation by Zakaria Shams Siam (22048001)

“…At 7 Tesla (7T) magnetic field intensity, MRI enables increased resolution, enhanced tissue contrast, and improved SNR, compared to MRI collected from the commonly employed 3 Tesla (3T) MRI scanners. …”

The outcome of severe traumatic brain injury in children in Qatar: Six-year study by Azhar Khattab (19774476)

“…Finally, the incidence of TBIs from road traffic crashes and injuries in Qatar are increasing significantly compared to other developing and developed countries. …”