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Multi-stage Alzheimer’s Disease Classification Using Squeeze Excitation Light Channel Network with a Random Lyrebird: Achieving High Sensitivity and Precision in Early Detection
Multi-stage Alzheimer’s Disease Classification Using Squeeze Excitation Light Channel Network with a Random Lyrebird: Achieving High Sensitivity and Precision in Early Detection
Alzheimer’s disease poses a substantial challenge due to the desperate need for enhancing early detection methods fo...
SwinTSER: An Improved Bilingual Speech Emotion Recognition Using Shift Window Transformer
SwinTSER: An Improved Bilingual Speech Emotion Recognition Using Shift Window Transformer
Emotion recognition from human speech occupies a significant position in Human-Computer Interaction, especially with the r...
Human Stress Level Detection Using Hybrid Cascaded Neuro-Fuzzy SpinalNet
Human Stress Level Detection Using Hybrid Cascaded Neuro-Fuzzy SpinalNet
In the current century, most human beings are distressed by stress. The stress impacts the mental and physical health of p...
Symbolic Faces and Artificial Minds: Evaluating Artificial Intelligence Recognition of Punctuation-Based Face Expressions Using ChatGPT, Claude, and DeepSeek Models
Symbolic Faces and Artificial Minds: Evaluating Artificial Intelligence Recognition of Punctuation-Based Face Expressions Using ChatGPT, Claude, and DeepSeek Models
Many scientists suspect that AI can replace humans in most situations, while others think that AI cannot intuitively repla...
Test-Time Adaptation of a Multi-Class Object Localization and Size Estimation Framework for Smart Agriculture Applications
Test-Time Adaptation of a Multi-Class Object Localization and Size Estimation Framework for Smart Agriculture Applications
Smart agriculture brings massive amounts of real-time images generated via modern information and communication technology...
New Approach to Crop Disease Classification and Data Security in Smart Agriculture Networks
New Approach to Crop Disease Classification and Data Security in Smart Agriculture Networks
Agriculture is the backbone of the economy which plays a significant role in the economic life cycle. The traditional secu...
Customer-Perceived Value and Social Media Analytics: How Supplier Evaluation Can Benefit from Aspect-Based Sentiment Analysis and Fuzzy Inference
Customer-Perceived Value and Social Media Analytics: How Supplier Evaluation Can Benefit from Aspect-Based Sentiment Analysis and Fuzzy Inference
Understanding customer-perceived value is essential for driving strategic supplier development and operational excellence ...
Event-Triggered Optimized Control for Nonlinear Multiagent Systems via Reinforcement Learning Strategy
Event-Triggered Optimized Control for Nonlinear Multiagent Systems via Reinforcement Learning Strategy
This paper focuses on the event-triggered optimal control issue for a class of nonlinear strict-feedback multiagent system...
Reinforcement Learning for Human-AI Collaboration: Challenges, Mechanisms, and Methods
Reinforcement Learning for Human-AI Collaboration: Challenges, Mechanisms, and Methods
Reinforcement Learning (RL) has significantly advanced the research topic of human-Artificial-Intelligence (AI) collaborat...
Multiple Local-Global Correlation-Based Deep Neural Network with Selective Kernel Attention for Bearing Fault Diagnosis
Multiple Local-Global Correlation-Based Deep Neural Network with Selective Kernel Attention for Bearing Fault Diagnosis
Few-shot learning-based deep neural networks have emerged as a promising solution for bearing fault diagnosis, particularl...
Exploiting Deep Contrast Feature for Image Retrieval
Exploiting Deep Contrast Feature for Image Retrieval
In the field of content-based image retrieval (CBIR), fused feature-based methods have demonstrated their advanced perform...
Functional Connectivity Imbalance Between Positive and Negative Networks in Mild Cognitive Impairment via Feature Selection
Functional Connectivity Imbalance Between Positive and Negative Networks in Mild Cognitive Impairment via Feature Selection
Association A. 2019 Alzheimer’s disease facts and figures. Alzheimers Dement. 2019;15(3):321–87.Article  MATH  ...
Development of a Decision Support System for Performance Measurement of Social Movements
Development of a Decision Support System for Performance Measurement of Social Movements
Social movements encompass the collective actions of groups gathered under the same goal, operating within a specific orga...
An Asymmetric Semantic Segmentation Model via Lightweight Attention-Guided Feature Enhancement and Fusion
An Asymmetric Semantic Segmentation Model via Lightweight Attention-Guided Feature Enhancement and Fusion
Semantic segmentation is widely used in fields such as autonomous driving and unmanned aerial vehicle navigation. However,...
Dynamic Behavior of Three-Layer Fractional-Order Neural Networks with Multiple Delays
Dynamic Behavior of Three-Layer Fractional-Order Neural Networks with Multiple Delays
Most of the complex network in the real world are not single-layer networks, and networks will be connected with each othe...
A Novel Hyperparameter Optimization Approach for Supervised Classification: Phase Prediction of Multi-Principal Element Alloys
A Novel Hyperparameter Optimization Approach for Supervised Classification: Phase Prediction of Multi-Principal Element Alloys
In this paper, a hyperparameter optimization approach is proposed for the phase prediction of multi-principal element allo...
Learning to Calibrate Prototypes for Few-Shot Image Classification
Learning to Calibrate Prototypes for Few-Shot Image Classification
Few-shot learning (FSL) aims to generalise the model to novel classes by using a limited amount of discriminative samples ...
Attribute Reduction in a Hybrid Decision Information System Based on Fuzzy Conditional Information Entropy Using Iterative Model and Matrix Operation
Attribute Reduction in a Hybrid Decision Information System Based on Fuzzy Conditional Information Entropy Using Iterative Model and Matrix Operation
Attribute reduction of hybrid decision information systems (HDISs) is a significant research area within the field of mach...
Augmenting Cardiovascular Disease Prediction Through CWCF Integration Leveraging Harris Hawks Search in Deep Belief Networks
Augmenting Cardiovascular Disease Prediction Through CWCF Integration Leveraging Harris Hawks Search in Deep Belief Networks
Cardiovascular disease (CVD) is a major global health concern, demanding accurate predictive models to aid preventive heal...
Engaging Preference Optimization Alignment in Large Language Model for Continual Radiology Report Generation: A Hybrid Approach
Engaging Preference Optimization Alignment in Large Language Model for Continual Radiology Report Generation: A Hybrid Approach
Large language models (LLMs) remain relatively underutilized in medical imaging, particularly in radiology, which is essen...
HLAE: Hierarchical Local Attention Encoder for MRI Brain Tumor Image Classification
HLAE: Hierarchical Local Attention Encoder for MRI Brain Tumor Image Classification
MRI-based brain tumor classification is a challenging neuroimaging task, where the key lies in leveraging ensemble informa...
A Weakly Supervised Data Labeling Framework for Machine Lexical Normalization in Vietnamese Social Media
A Weakly Supervised Data Labeling Framework for Machine Lexical Normalization in Vietnamese Social Media
This study introduces an innovative automatic labeling framework to address the challenges of lexical normalization in soc...
Tweet Credibility Ranker: A Credibility Features’ Fusion Model
Tweet Credibility Ranker: A Credibility Features’ Fusion Model
Misinformation on social media has emerged as a modern weapon of warfare, disrupting societal peace, trust, justice, and d...
An Adaptive Neural Network Algorithm with Quasi Opposition-Based Learning for Numerical Optimization Problems
An Adaptive Neural Network Algorithm with Quasi Opposition-Based Learning for Numerical Optimization Problems
The structure of artificial neural networks and the biological nervous systems serve as the foundation for the creation of...
Application of Metaheuristic Algorithms with Supervised Machine Learning for Accurate Power Consumption Prediction
Application of Metaheuristic Algorithms with Supervised Machine Learning for Accurate Power Consumption Prediction
Accurate power consumption prediction is a crucial part of energy management. Some of the machine learning models that are...
Innovative Deep Learning Framework for Accurate Plant Disease Detection and Crop Productivity Enhancement
Innovative Deep Learning Framework for Accurate Plant Disease Detection and Crop Productivity Enhancement
In modern agriculture, the detection of plant diseases is crucial for enhancing crop productivity. Predicting disease onse...
Systematic Review and Thematic Analysis of Digital Games for Cognitive Enhancement in Children with Autism Spectrum Disorder: Toward a Conceptual Framework
Systematic Review and Thematic Analysis of Digital Games for Cognitive Enhancement in Children with Autism Spectrum Disorder: Toward a Conceptual Framework
Compared to typically developing people, children with autism spectrum disorder (ASD) have distinct cognitive and intellig...
Exploring Influence of Different Emotions on Decision-Making by Analyzing the Temporal, Spatial, and Spectral Domains of EEG
Exploring Influence of Different Emotions on Decision-Making by Analyzing the Temporal, Spatial, and Spectral Domains of EEG
Decision-making is a complex cognitive process, in which emotion is one of the most important factors. But insights into t...
Verifying Technical Indicator Effectiveness in Cryptocurrency Price Forecasting: a Deep-Learning Time Series Model Based on Sparrow Search Algorithm
Verifying Technical Indicator Effectiveness in Cryptocurrency Price Forecasting: a Deep-Learning Time Series Model Based on Sparrow Search Algorithm
Forecasting cryptocurrency prices is challenging due to market volatility and dynamic behavior. This study aims to enhance...
Global Exponential Synchronization of Clifford-Valued Memristive Fuzzy Neural Networks with Delayed Impulses
Global Exponential Synchronization of Clifford-Valued Memristive Fuzzy Neural Networks with Delayed Impulses
The global exponential synchronization of Clifford-valued memristive fuzzy neural networks (CLVMFNNs) with delayed impulse...
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