Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

“…</p><h3>Conclusions</h3><p dir="ltr">We show that our network differencing procedure can effectively and efficiently detect statistical significant network re-wirings in different conditions. …”

Soiling Detection on Solar Panels Using Artificial Intelligence by Kaya, Hussein Mohammad Ali

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Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

“…The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social datasets. …”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

“…The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social datasets. …”
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The Detection of Dysarthria Severity Levels Using AI Models: A Review by Afnan Al-Ali (16888695)

Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection by Shakeel Ahmad (702854)

“…These attacks can be detected using both traditional and modern AI-based models. …”

Dynamic model scaling based on segmented tumor size for breast cancer detection by Younes Akbari (16303286)

“…The segmentation model, trained on a specialized dataset of breast cancer regions, identifies tumor regions in testing images from breast cancer detection datasets. …”

How effective are synthetic attack models to detect real-world energy theft? by Emran Altamimi (21397883)

“…However, available datasets lack annotated real anomalies, which poses significant challenges in developing effective detection systems. …”

Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization by Rusab Sarmun (17632269)

“…Our method utilizes innovative model ensemble techniques—non-maximum suppression (NMS), Soft-NMS, and weighted bounding box fusion (WBF)—to combine predictions from state-of-the-art object detection models. …”

Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) by Mohammad Hadi Ahmad (17632248)

“…<p>Climate change significantly impacts local, regional, and global vegetation changes. …”

Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model by Ahmad N. Alkuwari (22392226)

“…The evaluated machine learning models include traditional shallow detectors, deep learning-based detectors, and hybrid models that employ both horizontal and vertical detection strategies. …”

A machine learning model for early detection of diabetic foot using thermogram images by Amith Khandakar (14151981)

“…Several studies have reported that thermogram images may help to detect an increase in plantar temperature prior to DFU. …”

Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques by Umesh Kumar Lilhore (17727684)

“…This research work analyses cervical cancer and various risk factors to help detect cervical cancer. The proposed model Boruta with SVM and various popular ML models are implemented using Python and various performance measuring parameters, i.e., accuracy, precision, F 1 – Score , and recall. …”

VEGAWES: variational segmentation on whole exome sequencing for copy number detection by Samreen Anjum (19651882)

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

“…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …”

Board changes and CEO turnover by Dah, Mustafa A.

“…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset by Muhammad Usama Tanveer (22225360)

“…Ensemble learning by combining multiple machine learning models offers a significant advantage in reducing computational costs compared to deep learning models, making it a practical solution for real-time applications. …”

Early gas kick detection in vertical wells via transient multiphase flow modelling: A review by Ahmad K. Sleiti (14778229)

“…A kick perturbs the system; analysis of the resulting transient flow could lead to significant improvement in timely detection of a kick. …”

Novel interpretable and robust web-based AI platform for phishing email detection by Abdulla Al-Subaiey (19757007)

“…<p dir="ltr">Phishing emails continue to pose a significant threat, causing financial losses and security breaches. …”

Network Packet Transformation Approaches for Intrusion Detection Systems: A Survey by Somaya Eltanbouly (22565864)