Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS by Khan, Malik Nasir Afzal

“…To improve our results and increase our dataset, we use data augmentation with a deep convolutional generative adversarial network (DCGAN). …”
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YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm by Prabu Selvam (22330264)

“…Compared to the standard YOLOv11 model, the proposed YOLO-DefXpert attained an improvement of 9.3% and 13.2% in mAP50 and mAP95, an 11.25% increase in frames per second, and a 69.85MB decrease in model size. …”

YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images by Prabu Selvam (22330264)

“…It has recently become increasingly popular to apply deep learning algorithms to the identification of ships in SAR images. …”

Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment by Ikhlas Ghiat (16932564)

“…Three machine learning models were investigated for transpiration modelling and prediction: deep neural networks (DNN), extreme gradient boosting (XGBoost), and support vector machine regression (SVR). …”

MEFood: A Large-Scale Representative Benchmark of Quotidian Foods for the Middle East by Mohammed Yusuf Ansari (16904523)

Efficient Detection of Hepatic Steatosis in Ultrasound Images Using Convolutional Neural Networks: A Comparative Study by Fahad M. Alshagathrh (19365478)

“…Problem Statement: This study aims to evaluate deep learning methods for binary classification of hepatic steatosis using ultrasound images. …”

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

“…<p dir="ltr">Advancement of the Internet has increased security risks associated with data protection and online shopping. …”

LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis by Saeif Alhazbi (17058108)

“…<p dir="ltr">As Large Language Models (LLMs) become increasingly integrated into many technological ecosystems across various domains and industries, identifying which model is deployed or being interacted with is critical for the security and trustworthiness of the systems. …”

Image Steganography: A Review of the Recent Advances by Nandhini Subramanian (16896453)

“…The secret information is hidden in a way that it not visible to the human eyes. Deep learning technology, which has emerged as a powerful tool in various applications including image steganography, has received increased attention recently. …”

Double-Edged Defense: Thwarting Cyber Attacks and Adversarial Machine Learning in IEC 60870-5-104 Smart Grids by Hadir Teryak (17986978)

Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks by Mohamed Massaoudi (16888710)

Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

“…<p dir="ltr">Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. …”

Is board compensation excessive? by Dah, Mustafa A.

“…For companies that overpay, the average excess compensation is greater than $60,000 per director, while directors that are underpaid receive about $33,000 less than predicted. …”
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Visitors off the trail: Impacts on the dominant plant, bryophyte and lichen species in alpine heath vegetation in sub-arctic Sweden by Monika, Rawat

“…With a greater decrease in taller forbs and shrubs than in graminoids and prostrate plants, a greater decrease in lichen than in bryophyte species, and a change in vegetation composition. …”
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Are wars detrimental to the environment? Evidence from air pollution and land use by Marrouch, Walid

“…We compare the airborne emissions of countries that have experienced war after World War II (WWII) before and after the occurrence of the war event with the emissions of countries that did not experience any war after WWII. We find that, although wars decrease per capita CO2 emissions, they increase CO2 intensity. …”
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"Development of Authentic Annual and Seasonal Lightning Thunderstorms Day Maps for Saudi Arabia" by Shwehdi, M. H.

“…Annual thunderstorms are most frequent over the southwestern parts of the country, and generally decrease towards the west and east. Due to its low latitude and less temporal change, the west coast of the Red Sea recorded the lowest Td/yr. …”
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"Thunderstorm distribution and frequency in Saudi Arabia" by Shwehdi, M. H.

“…Annual thunderstorms are most frequent over the southwestern parts of the country, and generally decrease towards the west and east. Due to its low latitude and less temporal change, the west coast of the Red Sea recorded the lowest Td/yr. …”
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Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles by Nuri C. Onat (14779093)

“…<p dir="ltr">Autonomous vehicles offer greater passenger convenience and improved fuel efficiency. …”

Urtica dioica extract and its impact on blood lipids, glycemia & inflammation in the rat model. (c2005) by Baroudy, Karmen George

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Endocrine contribution to the sexual dysfunction in patients with advanced chronic kidney disease and the role of hyperprolactinemia by Haitham Elbardisi (14058048)

“…Patients treated with cabergoline (<i>n</i> = 26) showed a significant increase in LH levels (<i>p</i> = .003) and a significant decrease in prolactin levels (<i>p</i> = .003). …”