Single-Valued Neutrosophic Distance Measure-Based Merec-Rancom-Wisp for Solving Sustainable Energy Storage Technology Problem

Engineering, Energy Engineering, Information Science, Computer Science, Artificial Intelligence,
Single-Valued Neutrosophic Set   Energy Storage Technology   Distance Measure   Merec Method   Rancom Method   Wisp Method   Multi-Criteria Decision Making  

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...

Comparative Analysis of Hybrid and Ensemble Machine Learning Approaches in Predicting Football Player Transfer Values

Information Science, Computer Science, Artificial Intelligence,
market valuation   international reputation index   football superstars   filtering feature selection   boosting tree regression   metaheuristic optimization algorithms  

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 ...

Curriculum-Guided Self-Supervised Representation Learning of Dynamic Heterogeneous Networks

Information Science, Computer Science, Artificial Intelligence,
network embedding   transformer   dynamic heterogeneous network embedding   curriculum learning   self-supervised learning  

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...

Deep Learning-Based Multi-Modal Data Integration Enhancing Breast Cancer Disease-Free Survival Prediction

Information Science, Computer Science, Artificial Intelligence, Medicine, Oncology,
breast cancer   multi-modality   deep learning   pathological   disease-free survival  

Breast cancer is one of the most common malignancies among women worldwide. Although early intervention and appropriate treatment have significantly improved patient survival rates, approximately 30% of cases still experience recurrence and distant metastasis, resulting in a 5-year survival rate of less than 23%. Traditional clinical prediction met...

Significance in Scale Space for Hi-C Data Analysis

Information Science, Computer Science, Life Sciences, Bioengineering, Genetics,
Hi-C data   scale space   gene regulation   chromatin loops   cell-type-specific  

In the field of genomics, understanding the spatial organization of the genome is crucial for uncovering gene regulatory mechanisms. Hi-C technology, as a genome-wide chromosome conformation capture technique, can reveal the three-dimensional structure of the genome, particularly the key role of chromatin loops in gene regulation. However, existing...

Privacy-Preserving Framework for Genomic Computations via Multi-Key Homomorphic Encryption

Information Science, Computer Science, Life Sciences, Bioengineering, Genetics,
genome analysis   privacy preservation   homomorphic encryption   multi-key encryption   genomic data security  

Privacy-Preserving Framework for Genomic Analysis: A Study Based on Multi-Key Homomorphic Encryption Academic Background With the reduction in the cost of genome sequencing, the widespread availability of genomic data has opened up new possibilities for personalized medicine (also known as genomic medicine). However, genomic data contains a vast am...