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). …”

The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu... by Wesal Habbab (17346961)

“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”

Addition of sphingosine-1-phosphate to human oocyte culture medium decreases embryo fragmentation by Zreik, Tony

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Decreased Analgesic Requirements in Super Morbidly Versus Morbidly Obese Patients Undergoing Laparoscopic Sleeve Gastrectomy by Hamed Elgendy (14148846)

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. …”

Reduced graphene aerogels as energy efficient selective oil sorbents by Junaid Saleem (14670322)

“…The presence of H₂ significantly decreased the oxygen-containing functional groups in graphene aerogel. …”

Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi (6002234)

“…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”

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. …”

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. …”

Two-surgeon technique of parenchymal transection contributes to reduced transfusion rate in patients undergoing major hepatectomy by Palavecino, Martin

“…Although transfusion rates can be reduced to almost 0 in uncomplicated hepatectomies, the blood transfusion rates associated with liver resection remain significant at tertiary referral centers, such as ours. …”
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Reversal of memory and neuropsychiatric symptoms and reduced tau pathology by selenium in 3xTg-AD mice by Ann Van der Jeugd (18629695)

“…Chronic sodium selenate treatment efficiently reversed hippocampal-dependent learning and memory impairments, and behavior- and neuropsychiatric-like symptoms in old female 3xTg-AD mice. Selenium significantly decreased the number of aggregated tau-positive neurons and astrogliosis, without globally affecting amyloid plaques, in the hippocampus of 3xTg-AD mice. …”

An imageable retinoid acid derivative to detect human cancer xenografts and study therapeutic dosing to reduce its toxicity by Wang, Wei

“…In addition, retinoic acid can reverse premalignancy, significantly decrease second primary tumors and provide a treatment benefit in head and neck, lung, esophagus, colon and bladder cancer. …”
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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. …”

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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Ecotoxicological Assessment of Thermally- and Hydrogen-Reduced Graphene Oxide/TiO₂ Photocatalytic Nanocomposites Using the Zebrafish Embryo Model by Halema Al-Kandari (6316961)

“…However, both nanocomposites should be used with caution at concentration higher than the NOEC (400 mg/L), in particular RGOTi, which significantly (i) caused pericardial and yolk sac edema; (ii) decreased the hatching rate, locomotion, and hematopoietic activities; and (iii) affected the heart rate. …”

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. …”

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

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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. …”