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Enhancing Skin Disease Diagnosis: Light GBM-DMS Algorithm for Accurate Image Classification
Enhancing Skin Disease Diagnosis: Light GBM-DMS Algorithm for Accurate Image Classification
Globally, skin diseases are emerging as the most common health problem. It initiates depressive disorder, and it also caus...
HSBNN: A High-Scalable Bayesian Neural Networks Accelerator Based on Field Programmable Gate Arrays (FPGA)
HSBNN: A High-Scalable Bayesian Neural Networks Accelerator Based on Field Programmable Gate Arrays (FPGA)
Traditional artificial neural networks have inherent overfitting problems and tend to produce overly confident predictions...
Decision-Making-Based Solar Panel Selection: Sugeno-Weber Operators and Fermatean Fuzzy Distance Measure with AROMAN Methodology
Decision-Making-Based Solar Panel Selection: Sugeno-Weber Operators and Fermatean Fuzzy Distance Measure with AROMAN Methodology
Solar energy provides substantial benefits as compared to the fossil fuels as being renewable, reducing greenhous...
Peeping into the Future: Understanding and Combating Generative AI-Based Fake News
Peeping into the Future: Understanding and Combating Generative AI-Based Fake News
The widespread dissemination of fake news in the digital age, accelerated by generative artificial intelligence (GAI), pre...
Application of Explainable Artificial Intelligence in Autism Spectrum Disorder Detection
Application of Explainable Artificial Intelligence in Autism Spectrum Disorder Detection
Autism spectrum disorder (ASD) is a developmental disorder typically diagnosed in early childhood. With the advent of mach...
Revisiting a Simple MLP Framework for -Axis Rotation-Invariant Point Cloud Place Recognition
Revisiting a Simple MLP Framework for -Axis Rotation-Invariant Point Cloud Place Recognition
The objective of point cloud place recognition is to convert a point cloud into a global descriptor that can be utilized i...
Exploring Cognitive Difference in Poetry Collection via Large Language Models and Metaphors: A Case Study of the Book of Songs
Exploring Cognitive Difference in Poetry Collection via Large Language Models and Metaphors: A Case Study of the Book of Songs
Both modern and classical poetry collections consist of poems with various contents and styles. Each poem is imbued with r...
Fuzzy Preference Completion with Ranked and Unranked Preferences
Fuzzy Preference Completion with Ranked and Unranked Preferences
As for social choice, all alternatives are ranked by agents to form preferences as linear orders. However, in applications...
Contrastive-Based Removal of Negative Information in Multimodal Emotion Analysis
Contrastive-Based Removal of Negative Information in Multimodal Emotion Analysis
Multimodal sentiment analysis bridges the communication gap between humans and machines by accurately recognizing human em...
Emotions for Everyone: A Low-Cost, High-Accuracy Method for Emotion Classification
Emotions for Everyone: A Low-Cost, High-Accuracy Method for Emotion Classification
The classification of emotions is of vital importance in health care, particularly in the context of early detection of co...
RELU-Reinforcing Emotional Understanding: Advancing Speech Emotion Recognition Through Deep Reinforcement Learning
RELU-Reinforcing Emotional Understanding: Advancing Speech Emotion Recognition Through Deep Reinforcement Learning
Speech emotion recognition (SER) is a critical component in domains such as human–computer interaction, mental healt...
Generative AI and Deepfake Detection in Biometric Systems
Generative AI and Deepfake Detection in Biometric Systems
The emergence of generative Artificial Intelligence (AI), particularly Generative Adversarial Networks (GANs) and Variatio...
CBAM-XAI: Convolutional Block Attention Module Enhanced Explainable Artificial Intelligence-Based Parkinson’s Disease Stage Classification
CBAM-XAI: Convolutional Block Attention Module Enhanced Explainable Artificial Intelligence-Based Parkinson’s Disease Stage Classification
Parkinson’s disease (PD) is a progressive neurodegenerative disorder that causes significant impairment in neurons, ...
A Novel Multi-modality Deepfake Detection Using Cross-Model Fusion–Based Hybrid Harris Whale Depth-Wise Separable Dense Convolutional Bi-GRU Deepfake Model
A Novel Multi-modality Deepfake Detection Using Cross-Model Fusion–Based Hybrid Harris Whale Depth-Wise Separable Dense Convolutional Bi-GRU Deepfake Model
Deepfake video detection is one of the advanced techniques used to detect deepfakes from videos based on video frames and ...
Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation
Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation
The ability to predict breast cancer metastases is essential for making effective clinical decisions and managing patients...
From RNNs to Transformers and Beyond: a Deep Dive into Intent Detection in Goal-oriented Conversational Agents
From RNNs to Transformers and Beyond: a Deep Dive into Intent Detection in Goal-oriented Conversational Agents
Conversational assistants (CAs), particularly task-oriented ones, are designed to engage users in natural language interac...
Action Plan Diversity in Children During Control Exploration: Link Between Action and Sense of Agency
Action Plan Diversity in Children During Control Exploration: Link Between Action and Sense of Agency
The sense of agency refers to the subjective feeling of controlling one’s own actions and, through them, external ev...
Deep Feature Disentanglement for Supervised Contrastive Learning: Application to Image Classification
Deep Feature Disentanglement for Supervised Contrastive Learning: Application to Image Classification
In machine learning, deep metric learning from original data is essential, with supervised contrastive learning being a no...
Dual-Branch Pre-activation Bottleneck Transformer for Face Forgery Detection
Dual-Branch Pre-activation Bottleneck Transformer for Face Forgery Detection
Malicious use of face forgery technology will lead to serious negative effects, so there is an urgent need for an effectiv...
Motor Imagery Classification Based on Temporal-Spatial Domain Adaptation for Stroke Patients
Motor Imagery Classification Based on Temporal-Spatial Domain Adaptation for Stroke Patients
The low accuracy of unilateral upper limb multitask motor imagery (MI) classification is a significant issue hindering the...
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...
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