Pan evaporation (Epan) is one of the crucial parameters in hydrological studies, sustainable agricultural development, and water resources management. Predicting Epan remains a challenging problem among researchers worldwide because of its dependency... read more
Accurate estimation of State of Charge (SoC) and State of Health (SoH) values in battery management systems is crucial for maintaining energy efficiency, ensuring operational safety, and sustaining battery life. This study proposes a hybrid deep lear... read more
Multi-label image annotation remains a challenging task due to highly imbalanced label distributions, co-occurring semantic concepts, and the presence of rare or noisy annotations. To address these challenges, we present ReSwinNet, a hybrid CNN-Trans... read more
Understanding the carbon footprint is crucial for sustainable AI development. This work presents a framework called "carbon aware optimistic machine learning recommendation framework" (CAOMLF) that aims to balance machine learning performance with en... read more
This study proposes a safety-oriented framework for the assessment of mountaineering footwear insulation in extreme cold environments. A novel metric, the Duration of Safe Exposure (DSE), is introduced and defined as the time required for big toe ski... read more
In high-volume manufacturing of white light-emitting diodes (LEDs), maintaining consistent luminous flux and chromaticity is essential for stable optical performance and process consistency. Variations in the radiant flux of the blue LED chip and the... read more
The assessment of deterioration-affected reinforced concrete (RC) structures is an important task for maintaining structural safety and supporting maintenance and strengthening decisions in the built environment. As corrosion influences structural re... read more
Diabetic retinopathy (DR) develops via complex interactions of multiple risk factors and molecular pathways. However, the association between oxidative stress-related genes (OSRGs) and DR progression remains poorly understood. We analyzed two DR data... read more
Industrial Control Systems (ICS) face escalating cyber threats as adversaries increasingly exploit artificial intelligence (AI) to evade conventional defenses. This paper introduces a Digital Twin-enhanced security framework in which a real-time, phy... read more
Unmanned Aerial Vehicles (UAVs) equipped with robotic manipulators have emerged as a powerful paradigm for advanced aerial manipulation tasks, including infrastructure inspection, emergency response, and precise object handling in hazardous or inacce... read more
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