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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...
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...
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...
A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience
A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience
Generative Artificial Intelligence models are Artificial Intelligence models that generate new content based on a prompt o...
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...
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...
Multi-Modal Generative DeepFake Detection via Visual-Language Pretraining with Gate Fusion for Cognitive Computation
Multi-Modal Generative DeepFake Detection via Visual-Language Pretraining with Gate Fusion for Cognitive Computation
With the widespread adoption of deep learning, there has been a notable increase in the prevalence of multimodal deepfake ...
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 ...
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...
A Joint Network for Low-Light Image Enhancement Based on Retinex
A Joint Network for Low-Light Image Enhancement Based on Retinex
Methods based on the physical Retinex model are effective in enhancing low-light images, adeptly handling the challenges p...
A Consensus Model with Non-Cooperative Behavior Adaptive Management Based on Cognitive Psychological State Computation in Large-Scale Group Decision
A Consensus Model with Non-Cooperative Behavior Adaptive Management Based on Cognitive Psychological State Computation in Large-Scale Group Decision
Social cognition proposed that individual cognitive psychology was closely related to decision-making behavior. The hetero...
Analyzing Emotional Trends from X Platform Using SenticNet: A Comparative Analysis with Cryptocurrency Price
Analyzing Emotional Trends from X Platform Using SenticNet: A Comparative Analysis with Cryptocurrency Price
This study investigates the relationship between emotional trends derived from X platform data and the market dynamics of ...
A Levitated Controlled Attention for Named Entity Recognition
A Levitated Controlled Attention for Named Entity Recognition
Controlled attention is a mechanism developed in cognitive neuroscience. It has been successfully applied to support named...
Automatic Screening of COVID-19 Using an Optimized Generative Adversarial Network
Automatic Screening of COVID-19 Using an Optimized Generative Adversarial Network
The quick spread of coronavirus disease (COVID-19) has resulted in a global pandemic and more than fifteen million confirm...
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...
Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey
Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey
Over the past few years, larger and deeper neural network models, particularly convolutional neural networks (CNNs), have ...
Twin Bounded Support Vector Machine with Capped Pinball Loss
Twin Bounded Support Vector Machine with Capped Pinball Loss
In order to obtain a more robust and sparse classifier, in this paper, we propose a novel classifier termed as twin bounde...
Prescribed-Time Sampled-Data Control for the Bipartite Consensus of Linear Multi-Agent Systems in Singed Networks
Prescribed-Time Sampled-Data Control for the Bipartite Consensus of Linear Multi-Agent Systems in Singed Networks
This article examines the prescribed-time sampled-data control problem for multi-agent systems in signed networks. A time-...
Granular Syntax Processing with Multi-Task and Curriculum Learning
Granular Syntax Processing with Multi-Task and Curriculum Learning
Syntactic processing techniques are the foundation of natural language processing (NLP), supporting many downstream NLP ta...
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...
Disentangling User Cognitive Intent with Causal Reasoning for Knowledge-Enhanced Recommendation
Disentangling User Cognitive Intent with Causal Reasoning for Knowledge-Enhanced Recommendation
The primary objective of an effective recommender system is to provide accurate, varied, and personalized recommendations ...
Event-Triggered Adaptive Neural Control for Full State-Constrained Nonlinear Systems with Unknown Disturbances
Event-Triggered Adaptive Neural Control for Full State-Constrained Nonlinear Systems with Unknown Disturbances
This paper focuses on the adaptive control issue for a class of uncertain nonlinear systems subject to full state constrai...
Graph-Based Interactive Matching for Pairs of News Articles
Graph-Based Interactive Matching for Pairs of News Articles
Long-text document matching has been widely applied in many applications, such as topic detection and tracking and relativ...
An Enhanced Interactive and Multi-criteria Decision-Making (TODIM) Method with Probabilistic Dual Hesitant Fuzzy Sets for Risk Evaluation of Arctic Geopolitics
An Enhanced Interactive and Multi-criteria Decision-Making (TODIM) Method with Probabilistic Dual Hesitant Fuzzy Sets for Risk Evaluation of Arctic Geopolitics
The psychological factors of experts play a special role in the process of decision-making, especially in some situations ...
ArQuAD: An Expert-Annotated Arabic Machine Reading Comprehension Dataset
ArQuAD: An Expert-Annotated Arabic Machine Reading Comprehension Dataset
Machine Reading Comprehension (MRC) is a task that enables machines to mirror key cognitive processes involving reading, c...
Synchronization of Hypercomplex Neural Networks with Mixed Time-Varying Delays
Synchronization of Hypercomplex Neural Networks with Mixed Time-Varying Delays
This article discusses the fixed-time synchronization (FTS) of hypercomplex neural networks (HCNNs) with mixed time-varyin...
Motion Selectivity of the Local Filed Potentials in the Primary Visual Cortex of Rats: A Machine Learning Approach
Motion Selectivity of the Local Filed Potentials in the Primary Visual Cortex of Rats: A Machine Learning Approach
Using rodents as a model of physiological vision studies requires adequate information about their visual cortex. Although...
Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences
Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences
Hyperdimensional Computing (HDC), also known as Vector-Symbolic Architectures (VSA), is a promising framework for the deve...
Normal Template Mapping: An Association-Inspired Handwritten Character Recognition Model
Normal Template Mapping: An Association-Inspired Handwritten Character Recognition Model
In identifying objects, people usually associate memory templates to guide visual attention and determine the category of ...
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