Power Aggregation Operators Based on Aczel-Alsina T-Norm and T-Conorm for Intuitionistic Hesitant Fuzzy Information and Their Application to Logistics Service Provider Selection

Engineering, Transportation Engineering, Information Science, Computer Science, Artificial Intelligence,
Power Aggregation Operators   Decision-Making Technique   Intuitionistic Hesitant Fuzzy Sets   Logistics Service Provider Selection   Aczel-Alsina T-Norm  

Academic Background In modern supply chain management, the selection of logistics service providers is a complex and critical issue. Enterprises need to evaluate and choose third-party organizations capable of efficiently managing and executing logistics tasks. However, the decision-making process in reality often involves significant uncertainty a...

Dombi Weighted Geometric Aggregation Operators on the Class of Trapezoidal-Valued Intuitionistic Fuzzy Numbers and Their Applications to Multi-Attribute Group Decision-Making

Information Science, Computer Science, Artificial Intelligence,
Trapezoidal-valued intuitionistic fuzzy numbers   Dombi weighted geometric aggregation operators   Multi-attribute group decision-making   Photovoltaic site selection   Sensitivity analysis  

Academic Background In modern engineering and management fields, decision-making problems are often accompanied by uncertainty and ambiguity. Traditional fuzzy set theory has certain limitations when dealing with these issues, especially in complex Multi-Attribute Group Decision-Making (MAGDM) problems. Intuitionistic Fuzzy Set (IFS), as an extende...

A Systematic Survey of Hybrid ML Techniques for Predicting Peak Particle Velocity (PPV) in Open-Cast Mine Blasting Operations

Engineering, Mining and Metallurgical Engineering, Environmental Engineering, Information Science, Computer Science, Artificial Intelligence,
Peak Particle Velocity   Machine Learning   Ground Vibration   Air Over Pressure   Flyrock  

Blasting operations in open-cast mines are crucial for mineral extraction but also come with significant environmental and structural risks. The peak particle velocity (PPV) generated during blasting is a key metric for assessing the impact of blasting vibrations on surrounding structures and the environment. Accurate PPV prediction is essential fo...

An Enhanced Framework for Real-Time Dense Crowd Abnormal Behavior Detection Using YOLOv8

Information Science, Computer Science, Artificial Intelligence,
abnormal behavior detection   YOLOv8   soft-NMS   object detection   crowd surveillance   HajjV2   deep learning  

Academic Background With the increasing demand for public safety, especially during large-scale religious events such as the Hajj pilgrimage, abnormal behavior detection in dense crowds has become a critical issue. Existing detection methods often perform poorly under complex conditions such as occlusion, illumination variations, and uniform attire...

Gene Selection for Single Cell RNA-seq Data via Fuzzy Rough Iterative Computation Model

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Cell Biology, Bioengineering, Genetics,
single cell RNA-seq data   gene selection   fuzzy rough set   iterative computation model   high-dimensional data   noise handling   classification performance  

Background Introduction Single-cell RNA sequencing (scRNA-seq) technology has been widely applied in biomedical research in recent years, as it can reveal the heterogeneity of gene expression at the single-cell level, providing an important tool for understanding cell types, cell states, and disease mechanisms. However, scRNA-seq data is characteri...

Scalable Multi-Modal Representation Learning Networks

Information Science, Computer Science, Artificial Intelligence,
multi-modal learning   representation learning   inductive models   sparse regularization   hypergraph embedding  

Academic Background In the field of artificial intelligence, Multi-modal Representation Learning (MMRL) is a powerful paradigm aimed at mapping inputs from different modalities into a shared representation space. For example, in social networks, users often share both images and text simultaneously. Through multi-modal representation learning, mode...