The performance of S-YOFEO model on MOT16. by Wenshun Sheng (21485393)

“…The complexity of the real-world context poses a great challenge to multi-target tracking systems. Changes due to weather or lighting conditions, as well as the presence of numerous visually similar objects, can lead to target ID switching and tracking loss, thus affecting the system’s reliability. …”

The matching process of EIOU. by Wenshun Sheng (21485393)

“…The complexity of the real-world context poses a great challenge to multi-target tracking systems. Changes due to weather or lighting conditions, as well as the presence of numerous visually similar objects, can lead to target ID switching and tracking loss, thus affecting the system’s reliability. …”

Focus group guide. by Judite Blanc (22559981)

“…<div><p>Amid the dismantling of state structures in Haiti, the first Black republic faces significant health disparities compared to its former colonial power, France. …”

Data of Fig 5C. by Xianyu Piao (145967)

“…Among these five rSjCLs, only the immunization with rSjCL1 conferred partial protection to the mice against <i>S. japonicum</i> infection, resulting in a reduction in worm burden by 34.9% ~ 38.0% and a decrease of egg burden by 46.2% ~ 48.3%. This immunization also effectively mitigated body weight loss and hepatomegaly in the challenged mice. …”

Data of Fig 4A. by Xianyu Piao (145967)

“…Among these five rSjCLs, only the immunization with rSjCL1 conferred partial protection to the mice against <i>S. japonicum</i> infection, resulting in a reduction in worm burden by 34.9% ~ 38.0% and a decrease of egg burden by 46.2% ~ 48.3%. This immunization also effectively mitigated body weight loss and hepatomegaly in the challenged mice. …”

Effect of inhibitors on model parameters as inferred by SBI. by Johannes C. J. Heyn (21567894)

Dataset. by Wanjun Zhang (496858)

“…The results demonstrate that the self-correcting fuzzy PID control significantly optimizes key performance metrics: overshoot (reduced by 21.3%), settling time (shortened by 34.7%), and steady-rate error (decreased by 18.9%), outperforming both traditional PID and fuzzy PID methods in concentration and pH regulation. …”

Different controller performance indicators 1. by Wanjun Zhang (496858)

“…The results demonstrate that the self-correcting fuzzy PID control significantly optimizes key performance metrics: overshoot (reduced by 21.3%), settling time (shortened by 34.7%), and steady-rate error (decreased by 18.9%), outperforming both traditional PID and fuzzy PID methods in concentration and pH regulation. …”

Fuzzy PID control block diagram. by Wanjun Zhang (496858)

“…The results demonstrate that the self-correcting fuzzy PID control significantly optimizes key performance metrics: overshoot (reduced by 21.3%), settling time (shortened by 34.7%), and steady-rate error (decreased by 18.9%), outperforming both traditional PID and fuzzy PID methods in concentration and pH regulation. …”

Parameter optimal analysis. by Wanjun Zhang (496858)

“…The results demonstrate that the self-correcting fuzzy PID control significantly optimizes key performance metrics: overshoot (reduced by 21.3%), settling time (shortened by 34.7%), and steady-rate error (decreased by 18.9%), outperforming both traditional PID and fuzzy PID methods in concentration and pH regulation. …”

Experimental irrigation scheme design. by Wanjun Zhang (496858)

“…The results demonstrate that the self-correcting fuzzy PID control significantly optimizes key performance metrics: overshoot (reduced by 21.3%), settling time (shortened by 34.7%), and steady-rate error (decreased by 18.9%), outperforming both traditional PID and fuzzy PID methods in concentration and pH regulation. …”

Different controller performance indicators 2. by Wanjun Zhang (496858)

“…The results demonstrate that the self-correcting fuzzy PID control significantly optimizes key performance metrics: overshoot (reduced by 21.3%), settling time (shortened by 34.7%), and steady-rate error (decreased by 18.9%), outperforming both traditional PID and fuzzy PID methods in concentration and pH regulation. …”

Control principle diagram. by Wanjun Zhang (496858)

“…The results demonstrate that the self-correcting fuzzy PID control significantly optimizes key performance metrics: overshoot (reduced by 21.3%), settling time (shortened by 34.7%), and steady-rate error (decreased by 18.9%), outperforming both traditional PID and fuzzy PID methods in concentration and pH regulation. …”

Δk_p Fuzzy control rule. by Wanjun Zhang (496858)

“…The results demonstrate that the self-correcting fuzzy PID control significantly optimizes key performance metrics: overshoot (reduced by 21.3%), settling time (shortened by 34.7%), and steady-rate error (decreased by 18.9%), outperforming both traditional PID and fuzzy PID methods in concentration and pH regulation. …”

Experimental Investigation of Hydrodynamic Characteristics in Industrial Pulsed Liquid–Liquid Extraction Column by Xiucheng Yu (22634359)

“…Representing industrial column phenomena accurately and assessing issues and suitability is challenging using laboratory-scale extraction columns or Computational Fluid Dynamics-Population Balance Model (CFD-PBM) methods. …”

Sampling scenarios used in our experiments. by Anna Beatriz Silva (20989245)

“…In this work, we evaluate machine learning models for predicting premature birth using Brazilian sociodemographic and obstetric data, focusing on the challenge of data imbalance, a common problem that can lead to biased predictions. …”

Hybridsampling triple size models performance. by Anna Beatriz Silva (20989245)

“…In this work, we evaluate machine learning models for predicting premature birth using Brazilian sociodemographic and obstetric data, focusing on the challenge of data imbalance, a common problem that can lead to biased predictions. …”

Global burden of disease dataset. by Manan Raina (14648477)

“…<div><p>Background</p><p>Chronic kidney disease (CKD) poses a significant global health challenge; however, its burden on pediatric populations remains underexplored. …”

Characterisation of conidial length and ascospore production in <i>ΔFgknr4</i> and complemented strains. by Erika Kroll (20537020)

IG feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

“…While it contributes to improving healthcare services, it may pose significant security challenges, especially due to the growing interconnectivity of IoMT devices. …”