A Meta-Analysis to Gauge the Effectiveness of STEM Informal Project-Based Learning: Investigating the Potential Moderator Variables by Malavika Santhosh (17714346)

“…However, the participants’ educational level and study location (country) did not emerge as being significant. This study contributes to the bulk of literature that can help academicians to design, develop and implement effective STEM-based informal PjBL models, with special consideration for influential variables (teaching method, assessment method, grade, location, course duration, group size, and subject area).…”

Reinforcement Learning Based EV Charging Management Systems–A Review by Heba M. Abdullah (16896384)

“…More recently, there has been an increasing interest in data-driven approaches in EV charging modeling. Consequently, researchers are looking to deploy model-free approaches for solving the EV charging management with uncertainties. …”

Effects of Social Media Use and Dependence on Dietary Intake and Prevalence of Orthorexia in Pregnant and Non-Pregnant Women by Issa, Yara

“…Social media use may negatively affect the dietary choices and intuitive eating behaviors of both pregnant and non-pregnant women. That being said, interventions to regulate social media content and limit exposure to unrealistic thin ideal as well as to educate women about dietary changes and requirements during pregnancy may be helpful to increase intuitive eating behaviors and decrease the risk of disordered eating and orthorexia in this population.…”
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Aspect-based sentiment analysis using smart government review data by Alqaryouti , Omar

“…Also, the integrated classification model outperforms the lexicon-based baseline and the other rules combinations by 5% in terms of Accuracy on average. …”
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Driving against the clock: Investigating the impacts of time pressure on taxi and non-professional drivers’ safety and compliance by Qinaat Hussain (15294164)

“…<p>Drivers often encounter time pressure, which can lead to riskier driving habits, decreased safety margins, and a higher chance of accidents. …”

A CFD- RSM study of cuttings transport in non-Newtonian drilling fluids: Impact of operational parameters by Abdelrahman M. Awad (16932519)

“…As the drill pipe rotational speed increased, the pressure drop decreased slightly until a critical rotatory speed was reached, thereafter, the pressure drop increased markedly. …”

Using machine learning algorithm for detection of cyber-attacks in cyber physical systems by Almajed, Rasha

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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim (22303750)

Blue collar laborers’ travel pattern recognition: Machine learning classifier approach by Aya Hasan Alkhereibi (17151070)

“…Furthermore, whilst the Bagged Clusters and Pamk Clusters techniques on the three attributes yielded similar results, the Cmeans Clusters differed significantly in a number of the clusters. Applying such pattern recognition models on big and complex activity datasets could assist transport planners to understand the travel needs of segments of the population well and formulating better-informed strategies.…”

Prevalence, correlates and management of hyperglycemia in diabetic non-critically Ill patients at a tertiary care center in Lebanon by El Khoury, Ghada

“…Therefore, prevention of hyperglycemia is critical to decrease the length of hospital stay and to reduce complications and readmissions. …”
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A Maturity Model to Assess Organization’s Readiness to Adopt a Sustainable Business Model by Awwad, Mohamed Aly

“…Organizations’ Business Model (BM) plays a significant role in the world’s economy, society, and environment. …”
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Effect of chronic and non-chronic moderate wine consumption upon rat lipoprotein profile in the blood. (c2002) by Slaiby, Rita

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Relationship between Asymmetry Indices, Anthropometric Parameters, and Physical Fitness in Obese and Non-Obese High School Students by Monoem Haddad (5345357)

“…Grouping participants based on body fat percentage had a significant effect on the AIs (p < 0.05) of the CMJ and YBT. …”

Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid (21976373)

“…The Self-DSNet model demonstrated an impressive accuracy of 94.23% when using vision-based data alone. …”

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

“…In this paper, we propose two models for intrusion detection and classification scheme Trust-based Intrusion Detection and Classification System (TIDCS) and Trust-based Intrusion Detection and Classification System- Accelerated (TIDCS-A) for secure network. …”

Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems by Majdi Mansouri (16869885)

“…The developed techniques are based on Support Vector Machine (SVM) model to improve the diagnosis of WEC systems. …”

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application by Abdus Salam (1918387)

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

Effect of Intravenous Mannitol on Intraocular Pressure Changes in Vitrectomized and Non-Vitrectomized Eyes: A Systematic Review and Meta-Analysis by HASHEM ABU SERHAN (19737499)

“…No significant changes were observed on IOP with mannitol administration when comparing vitrectomized versus non- vitrectomized eyes.…”