Academic Background In fields such as decision analysis, pattern recognition, and medical diagnosis, fuzzy set theory provides essential mathematical tools for handling uncertainty and ambiguity. Traditional fuzzy sets (Fuzzy Set, FS) and intuitionistic fuzzy sets (Intuitionistic Fuzzy Set, IFS) have certain limitations when dealing with complex da...
Academic Background In today’s healthcare environment, medical imaging plays a crucial role in disease diagnosis, treatment planning, and health management. However, traditional medical image analysis methods face numerous challenges, such as overfitting, high computational costs, limited generalization capabilities, and issues related to noise, si...
Background Introduction Dementia is a global health issue that significantly impacts patients’ quality of life and places a substantial burden on healthcare systems. Alzheimer’s Disease (AD) and Frontotemporal Dementia (FTD) are two common types of dementia, and their overlapping symptoms make accurate diagnosis and targeted treatment development p...
Background Introduction With the rapid development of unmanned aerial vehicle (UAV) technology, low-altitude remote sensing images captured by UAVs have been widely used in tasks such as disaster management, search and rescue. However, small object detection in UAV images remains a challenging problem. Due to the fact that small objects occupy only...
Academic Background With the continuous growth of global energy demand, Energy Storage Technology (EST) plays a crucial role in mitigating environmental impacts and reducing carbon footprints. EST is not only an essential component of renewable energy but also a key factor in decarbonizing the global energy structure. However, selecting the appropr...
Academic Background and Problem Statement In the field of fuzzy sets (Fuzzy Sets, FSs), handling uncertainty is one of the core challenges. Fuzzy sets were first introduced by Zadeh in 1965 and quickly became a hot topic in theoretical and applied research. With the deepening of research, an extended form of fuzzy sets—Orthopair Fuzzy Sets (OFSs)—e...
Academic Background Colorectal Cancer (CRC) is one of the most common cancers worldwide, particularly among individuals over the age of 50. Early detection and accurate diagnosis are crucial for improving patient survival rates. However, traditional CRC screening methods, such as colonoscopy, rely heavily on the experience and visual judgment of ph...
Academic Background In modern football economics, a player’s transfer market value is not only determined by their on-field performance but also influenced by factors such as their popularity and social media presence. With the globalization of the football industry, clubs are increasingly relying on data-driven analysis for decision-making in the ...
Academic Background Electroencephalogram (EEG) is a crucial tool for studying brain activity, widely used in neuroscience, clinical diagnosis, and brain-computer interfaces. However, EEG signals are often contaminated by various artifacts during acquisition, such as electrooculography (EOG) and electromyography (EMG). These artifacts significantly ...
Academic Background In the real world, network data (such as social networks, citation networks, etc.) often contain multiple types of nodes and edges, and these network structures evolve dynamically over time. To better analyze these complex networks, researchers have proposed network embedding techniques, which aim to represent nodes and edges in...