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Three-way Decision Approach Based on Utility and Dynamic Localization Transformational Procedures within a Circular q-Rung Orthopair Fuzzy Set for Ranking and Grading Large Language Models
Three-way Decision Approach Based on Utility and Dynamic Localization Transformational Procedures within a Circular q-Rung Orthopair Fuzzy Set for Ranking and Grading Large Language Models
Large language models (LLMs) have made significant advancements in natural language processing (NLP), impacting both acade...
A Communication-Efficient Distributed Frank-Wolfe Online Algorithm with an Event-Triggered Mechanism
A Communication-Efficient Distributed Frank-Wolfe Online Algorithm with an Event-Triggered Mechanism
Distributed learning is an effective method for solving large-scale cognitively inspired online machine learning problems....
Online Signature Watermarking in the Transform Domain
Online Signature Watermarking in the Transform Domain
The increasing reliance on digital signatures for secure authentication and verification necessitates advanced watermarkin...
Rain Streak Removal Using Improved Generative Adversarial Network with Loss Function Optimization
Rain Streak Removal Using Improved Generative Adversarial Network with Loss Function Optimization
Rain is a typical meteorological phenomenon that can significantly impair the functionality of outdoor computer vision sys...
T-Norms and T-Conorms of Symmetrical Linear Orthopair Fuzzy Sets and Their Cognitive Applications in Multiple-Criteria Decision-Making
T-Norms and T-Conorms of Symmetrical Linear Orthopair Fuzzy Sets and Their Cognitive Applications in Multiple-Criteria Decision-Making
Orthopair fuzzy sets (OFSs) generally include q-rung orthopair fuzzy sets (q-ROFSs) and symmetrical linear orthopair fuzzy...
Medivision: Empowering Colorectal Cancer Diagnosis and Tumor Localization Through Supervised Learning Classifications and Grad-CAM Visualization of Medical Colonoscopy Images
Medivision: Empowering Colorectal Cancer Diagnosis and Tumor Localization Through Supervised Learning Classifications and Grad-CAM Visualization of Medical Colonoscopy Images
Medivision is a modern diagnostic system that has been developed to improve colorectal cancer detection.  By appl...
$$A^{2}$$DM: Enhancing EEG Artifact Removal by Fusing Artifact Representation into the Time-Frequency Domain
$$A^{2}$$DM: Enhancing EEG Artifact Removal by Fusing Artifact Representation into the Time-Frequency Domain
The electroencephalogram (EEG) provides essential data for analyzing brain activities. However, artifacts such as electroo...
Curriculum-Guided Self-Supervised Representation Learning of Dynamic Heterogeneous Networks
Curriculum-Guided Self-Supervised Representation Learning of Dynamic Heterogeneous Networks
Since most real-world network data include nodes and edges that evolve gradually, an embedding model for dynamic heterogen...
Multi-criteria Group Decision-Making Using Complex Quasirung Orthopair Fuzzy Sets: Application in the Selection of Renewable Energy Projects for Investments
Multi-criteria Group Decision-Making Using Complex Quasirung Orthopair Fuzzy Sets: Application in the Selection of Renewable Energy Projects for Investments
Evaluating the hesitation inherent in decision-making models is a significant hurdle for experts. The p, q-quasirung fuzzy...
Single-Valued Neutrosophic Distance Measure-Based MEREC-RANCOM-WISP for Solving Sustainable Energy Storage Technology Problem
Single-Valued Neutrosophic Distance Measure-Based MEREC-RANCOM-WISP for Solving Sustainable Energy Storage Technology Problem
Energy storage technology (EST) is crucial in mitigating the environmental impact of energy storage and reducing carbon fo...
Comparative Analysis of Hybrid and Ensemble Machine Learning Approaches in Predicting Football Player Transfer Values
Comparative Analysis of Hybrid and Ensemble Machine Learning Approaches in Predicting Football Player Transfer Values
In football economics, a player’s transfer market value extends beyond performance metrics, with popularity playing ...
A Multi-scale Feature Fusion Network Focusing on Small Objects in UAV-View
A Multi-scale Feature Fusion Network Focusing on Small Objects in UAV-View
Small object detection in unmanned aerial vehicle (UAV)-view images remains a significant challenge due to the irregular d...
Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data
Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data
Dementia is a growing global health concern that significantly impacts the quality of life for millions of individuals and...
A New Similarity Measure for Picture Fuzzy Sets and Its Various Applications
A New Similarity Measure for Picture Fuzzy Sets and Its Various Applications
Similarity measures offer a useful way to assess how similar two collections of things are to one another. They are also u...
EPDTNet + -EM: Advanced Transfer Learning and SubNet Architecture for Medical Image Diagnosis
EPDTNet + -EM: Advanced Transfer Learning and SubNet Architecture for Medical Image Diagnosis
This paper presents a novel medical imaging framework, Efficient Parallel Deep Transfer SubNet+-based Explainable Model (E...
Advanced Decision-Making Strategies in Life 3.0 Through q-Spherical Fuzzy Rough Dombi Aggregation Operators
Advanced Decision-Making Strategies in Life 3.0 Through q-Spherical Fuzzy Rough Dombi Aggregation Operators
In the era of Life 3.0, as envisioned by Max Tegmark, artificial intelligence has evolved to a point where it can autonomo...
Residual Movement Metrology Network and Transformer-Based Framework for Evaluating Movement Quality
Residual Movement Metrology Network and Transformer-Based Framework for Evaluating Movement Quality
An effective rehabilitation program can significantly hasten the recovery of patients. It promotes the metabolism of damag...
Free-Head Gaze Estimation with Deep Learning
Free-Head Gaze Estimation with Deep Learning
Eye tracking is an essential tool for studying human mental activity and behavior. Appearance-based eye tracking has broad...
Topologically Consistent Prototype Network for Incomplete Multimodal Learning
Topologically Consistent Prototype Network for Incomplete Multimodal Learning
Multimodal learning aims to utilize the complementary information of multiple data modalities to improve the generalizatio...
Scrutinizing Label: Contrastive Learning on Label Semantics and Enriched Representation for Relation Extraction
Scrutinizing Label: Contrastive Learning on Label Semantics and Enriched Representation for Relation Extraction
Sentence-level relation extraction is a technique for extracting factual information about relationships between entities ...
Prompt Learning for Multimodal Intent Recognition with Modal Alignment Perception
Prompt Learning for Multimodal Intent Recognition with Modal Alignment Perception
Multimodal intent recognition analysis is a crucial task in understanding user intent through speech, body movements, tone...
Decision-Analytics-Based Risk Allocation in the Micromobility Sector: Sugeno-Weber Operators and Picture Fuzzy Distance Methodology
Decision-Analytics-Based Risk Allocation in the Micromobility Sector: Sugeno-Weber Operators and Picture Fuzzy Distance Methodology
Arias-Molinares D, Xu Y, Büttner B, Duran-Rodas D. Exploring key spatial determinants for mobility hub placement based on ...
Fermatean Fuzzy Dombi Generalized Maclaurin Symmetric Mean Operators for Prioritizing Bulk Material Handling Technologies
Fermatean Fuzzy Dombi Generalized Maclaurin Symmetric Mean Operators for Prioritizing Bulk Material Handling Technologies
Appendix 1Proof of Theorem 1:We have \((\wp_ }} )^ }} = \left\langle \left( }}^ }} }}^ }}} \right)^ } \right\}^} } \righ...
Towards Long-Term Remembering in Federated Continual Learning
Towards Long-Term Remembering in Federated Continual Learning
Federated Continual Learning (FCL) involves learning from distributed data on edge devices with incremental knowledge. How...
Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson’s Disease
Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson’s Disease
Artificial intelligence (AI) systems are increasingly used in healthcare applications, although some challenges have not b...
Unmasking GAN-Generated Faces with Optimal Deep Learning and Cognitive Computing-Based Cutting-Edge Detection System
Unmasking GAN-Generated Faces with Optimal Deep Learning and Cognitive Computing-Based Cutting-Edge Detection System
The emergence of deep learning (DL) has improved the excellence of generated media. However, with the enlarged level of ph...
Cognitively Inspired Three-Way Decision Making and Bi-Level Evolutionary Optimization for Mobile Cybersecurity Threats Detection: A Case Study on Android Malware
Cognitively Inspired Three-Way Decision Making and Bi-Level Evolutionary Optimization for Mobile Cybersecurity Threats Detection: A Case Study on Android Malware
Malicious apps use a variety of methods to spread infections, take over computers and/or IoT devices, and steal sensitive ...
Barrier Function to Skin Elasticity in Talking Head
Barrier Function to Skin Elasticity in Talking Head
In this paper, we target the problem of generating facial expressions from a piece of audio. This is challenging since bot...
Evaluative Item-Contrastive Explanations in Rankings
Evaluative Item-Contrastive Explanations in Rankings
The remarkable success of Artificial Intelligence in advancing automated decision-making is evident both in academia and i...
Probing Fundamental Visual Comprehend Capabilities on Vision Language Models via Visual Phrases from Structural Data
Probing Fundamental Visual Comprehend Capabilities on Vision Language Models via Visual Phrases from Structural Data
Does the model demonstrate exceptional proficiency in “item counting,” “color recognition,” or oth...
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