SCI Abstract

search
+
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...
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 ...
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-...
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...
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...
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 ...
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 ...
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...
Generative Adversarial Network-Assisted Framework for Power Management
Generative Adversarial Network-Assisted Framework for Power Management
The rise in power consumption (PC) is caused by several factors such as the growing global population, urbanization, techn...
Efficient Deep Learning Approach for Diagnosis of Attention-Deficit/Hyperactivity Disorder in Children Based on EEG Signals
Efficient Deep Learning Approach for Diagnosis of Attention-Deficit/Hyperactivity Disorder in Children Based on EEG Signals
Attention-deficit/hyperactivity disorder (ADHD) is a behavioral disorder in children that can persist into adulthood if no...
Vision-Enabled Large Language and Deep Learning Models for Image-Based Emotion Recognition
Vision-Enabled Large Language and Deep Learning Models for Image-Based Emotion Recognition
The significant advancements in the capabilities, reasoning, and efficiency of artificial intelligence (AI)-based tools an...
The Duo of Visual Servoing and Deep Learning-Based Methods for Situation-Aware Disaster Management: A Comprehensive Review
The Duo of Visual Servoing and Deep Learning-Based Methods for Situation-Aware Disaster Management: A Comprehensive Review
Unmanned aerial vehicles (UAVs) have become essential in disaster management due to their ability to provide real-time sit...
ConceptGlassbox: Guided Concept-Based Explanation for Deep Neural Networks
ConceptGlassbox: Guided Concept-Based Explanation for Deep Neural Networks
Various industries and fields have utilized machine learning models, particularly those that demand a significant degree o...
A Cognitive Medical Decision Support System for IoT-Based Human-Computer Interface in Pervasive Computing Environment
A Cognitive Medical Decision Support System for IoT-Based Human-Computer Interface in Pervasive Computing Environment
In today’s advanced applications, such as memory interfaces, feature-based detection, and sensory games, human-compu...
Generative AI and Cognitive Computing-Driven Intrusion Detection System in Industrial CPS
Generative AI and Cognitive Computing-Driven Intrusion Detection System in Industrial CPS
Industrial Cyber-Physical Systems (ICPSs) are becoming more and more networked and essential to modern infrastructure. Thi...
Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Railway Defect Detection
Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Railway Defect Detection
Recent advancements in cognitive computing, through the integration of artificial intelligence (AI) techniques, have facil...
Effect of Leakage Delays on Bifurcation in Fractional-Order Bidirectional Associative Memory Neural Networks with Five Neurons and Discrete Delays
Effect of Leakage Delays on Bifurcation in Fractional-Order Bidirectional Associative Memory Neural Networks with Five Neurons and Discrete Delays
As is well known that time delays are inevitable in practice due to the finite switching speed of amplifiers and informati...
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...
Federated Constrastive Learning and Visual Transformers for Personal Recommendation
Federated Constrastive Learning and Visual Transformers for Personal Recommendation
This paper introduces a novel solution for personal recommendation in consumer electronic applications. It addresses, on t...
Learning from Failure: Towards Developing a Disease Diagnosis Assistant That Also Learns from Unsuccessful Diagnoses
Learning from Failure: Towards Developing a Disease Diagnosis Assistant That Also Learns from Unsuccessful Diagnoses
In recent years, automatic disease diagnosis has gained immense popularity in research and industry communities. Humans le...
Load More
format_indent_increase