A FeedForward–Convolutional Neural Network to Detect Low-Rate DoS in IoT by Harun Surej Ilango (17545728)

“…An iterative wrapper-based feature selection using Support Vector Machine (SVM) is used to derive the significant features required for detection. The performance of FFCNN is compared to the machine learning algorithms-J48, Random Forest, Random Tree, REP Tree, SVM, and Multi-Layer Perceptron (MLP). …”

Assessing uncertainty in image-based monitoring: addressing false positives, false negatives, and base rate bias in structural health evaluation by Vagelis Plevris (14158863)

“…However, its reliability is impacted by challenges such as false positives, false negatives, and environmental variability, particularly in low base rate damage scenarios. The Base Rate Bias plays a significant role, as low probabilities of actual damage often lead to misinterpretation of positive results. …”

Cytotoxicity of Arginine Deprivation to AML Cells is Mediated by Autophagy by Taki, Fatima

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Molecular Mechanisms of Adiponectin-Induced Attenuation of Mechanical Stretch-Mediated Vascular Remodeling by Crystal M. Ghantous (14571292)

“…Stretching the RPV also significantly increased ROS generation after 1 hour, whereas APN significantly decreased mechanical stretch-induced ROS production. …”

A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance by Krishnamoorthy Natarajan (22047464)

Diagnostic accuracy of interleukin-6 (IL-6) as a significant biomarker in late-onset neonatal sepsis: an updated systematic review and meta-analysis by Amani N. Alansari (19743643)

“…Subgroup and sensitivity analyses confirmed the robustness of the findings, and no significant threshold effect was detected. However, suspected publication bias was noted. …”

Waterpipe Tobacco Smoke Nicotine Mediates Resilience to Chronic Stress by Activating BDNF Signaling by Khalifeh, Mohamad Rabieh

“…Even though initially, WTS decreased anxiety-like behaviors it was found that prolonged exposure after the completion of CSDS significantly induced anxiety-like behaviors. …”
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Ensemble deep learning for brain tumor detection by Shtwai Alsubai (15211962)

“…Since it has a wide range of traits, a low survival rate, and an aggressive nature, brain tumor is regarded as the deadliest and most devastating disease. …”

Arginine Deprivation in AML Cells Induces Ferroptosis, a Type of Autophagy-Mediated Cell Death by Tohme, Sara

“…Scavenging ROS using NAC significantly decreases cell death but has minimal effect on autophagy activation, suggesting that the accumulation of ROS is downstream of autophagy activation but upstream of cell death. …”
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Dihydromyricetin and Salvianolic acid B inhibit alpha-synuclein aggregation and enhance chaperone-mediated autophagy by Jia-Zhen Wu (6844793)

“…Cells were co-transfected with a C-terminal modified α-synuclein (SynT) and synphilin-1, and then treated with DHM (10 μM) and Sal B (50 μM) 16 hours after transfection; levels of α-synuclein aggregation decreased significantly (68% for DHM and 75% for Sal B). …”

The mediating effect of corporate social responsibility on the relationship between corporate governance and financial performance. (c2016) by AlKassar, Abdul Rahman

“…Empirical evidence of this quantitative study confirmed the significance of the relationships as well as the mediating effects of CSR.…”
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LSCS-Net: A lightweight skin cancer segmentation network with densely connected multi-rate atrous convolution by Sadia Din (18136919)

“…This network comprises an encoder–decoder architecture, a novel feature extraction block, and a densely connected multi-rate Atrous convolution block. We evaluated the performance of the proposed lightweight skin cancer segmentation network (LSCS-Net) on three widely used benchmark datasets for skin lesion segmentation: ISIC 2016, ISIC 2017, and ISIC 2018. …”

Hypoxic Stress Induces Complement-Mediated Lysis of Mesenchymal Stem Cells by Downregulating Factor H and CD59 by Ramada R. Khaswaneh (22224544)

“…Mesenchymal stem cells (MSCs) secrete Factor H and express CD59 to protect themselves from complement-mediated damage. Severe hypoxia found to decrease the survival chances of MSCs after transplantation; however, little is known about the impact of severe hypoxia on modulating the complement system activity and its effect on MSCs survival. …”

Evaluating chemiluminescent immunoassays for syphilis detection: A comparative analysis by Ahmed, Ismail

“…BackgroundSyphilis, caused by Treponema pallidum (TP), remains a significant global public health concern, with approximately 8 million new cases annually. …”
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IoT empowered smart cybersecurity framework for intrusion detection in internet of drones by Syeda Nazia Ashraf (17541222)

“…In recent years, there has been a significant increase in the utilization of IoT-enabled drone data management technology. …”

Bridging Innovation and Security: Advancing Cyber-Threat Detection in Sustainable Smart Infrastructure by Duaa Shoukat (20961200)

“…Our evaluation results demonstrate the superior performance of the proposed Cu-GRULSTM model, achieving an exceptional accuracy rate of 99.62% with a minimal False Alarms Rate (FAR) of 0.0003. …”

Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI by Md. Faysal Ahamed (21842396)

“…These polyps cause severe conditions in the colon or rectum, presenting a significant diagnostic challenge. Traditional manual detection through medical imaging is not only bulky and prone to errors but also incurs substantial costs, requiring expert endoscopist. …”

A Machine Learning Approach on Chest X-Rays for Pediatric Pneumonia Detection by Barakat, Natali Imad

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

“…In addition, the framework outperforms conventional detection algorithms in words of detection rate, the rate of the false positive, and calculation time, respectively.…”
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A machine learning approach on chest X-rays for pediatric pneumonia detection by Barakat, Natali Imad

“…Thus, there is a significant need for automating the detection process to minimize the potential human error. …”
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