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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 ...
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...
Principal Component Analysis Applications in COVID-19 Genome Sequence Studies
Principal Component Analysis Applications in COVID-19 Genome Sequence Studies
RNA genomes from coronavirus have a length as long as 32 kilobases, and the severe acute respiratory syndrome coronavirus ...
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...
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...
Cognitive Intelligent Decisions for Big Data and Cloud Computing in Industrial Applications using Trifold Algorithms
Cognitive Intelligent Decisions for Big Data and Cloud Computing in Industrial Applications using Trifold Algorithms
In contemporary real-time applications, diminutive devices are increasingly employing a greater portion of the spectrum to...
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 ...
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...
SPEI-FL: Serverless Privacy Edge Intelligence-Enabled Federated Learning in Smart Healthcare Systems
SPEI-FL: Serverless Privacy Edge Intelligence-Enabled Federated Learning in Smart Healthcare Systems
Smart healthcare systems promise significant benefits for fast and accurate medical decisions. However, working with perso...
Advancing Medical Imaging Through Generative Adversarial Networks: A Comprehensive Review and Future Prospects
Advancing Medical Imaging Through Generative Adversarial Networks: A Comprehensive Review and Future Prospects
In medical imaging, traditional methods have long been relied upon. However, the integration of Generative Adversarial Net...
Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective
Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective
The automatic analysis of histology images is an open research field where machine learning techniques and neural networks...
Cognitive Tracing Data Trails: Auditing Data Provenance in Discriminative Language Models Using Accumulated Discrepancy Score
Cognitive Tracing Data Trails: Auditing Data Provenance in Discriminative Language Models Using Accumulated Discrepancy Score
The burgeoning practice of unauthorized acquisition and utilization of personal textual data (e.g., social media comments ...
CPD-NSL: A Two-Stage Brain Effective Connectivity Network Construction Method Based on Dynamic Bayesian Network
CPD-NSL: A Two-Stage Brain Effective Connectivity Network Construction Method Based on Dynamic Bayesian Network
Current brain science reveals that the connectivity patterns of the human brain are constantly changing when performing di...
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...
A Novel Memristors Based Echo State Network Model Inspired by the Brain’s Uni-hemispheric Slow-Wave Sleep Characteristics
A Novel Memristors Based Echo State Network Model Inspired by the Brain’s Uni-hemispheric Slow-Wave Sleep Characteristics
Memristors serve as electronic components with the ability to store charge and demonstrate resistive states, which are sim...
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...
Optimization Based Deep Learning for COVID-19 Detection Using Respiratory Sound Signals
Optimization Based Deep Learning for COVID-19 Detection Using Respiratory Sound Signals
The COVID-19 prediction process is more indispensable to handle the spread and death occurred rate because of COVID-19. Ho...
A Review of Key Technologies for Emotion Analysis Using Multimodal Information
A Review of Key Technologies for Emotion Analysis Using Multimodal Information
Emotion analysis, an integral aspect of human–machine interactions, has witnessed significant advancements in recent...
Enhanced Android Ransomware Detection Through Hybrid Simultaneous Swarm-Based Optimization
Enhanced Android Ransomware Detection Through Hybrid Simultaneous Swarm-Based Optimization
Ransomware is a significant security threat that poses a serious risk to the security of smartphones, and its impact on po...
Intelligent Fisheries: Cognitive Solutions for Improving Aquaculture Commercial Efficiency Through Enhanced Biomass Estimation and Early Disease Detection
Intelligent Fisheries: Cognitive Solutions for Improving Aquaculture Commercial Efficiency Through Enhanced Biomass Estimation and Early Disease Detection
With the burgeoning global demand for seafood, potential solutions like aquaculture are increasingly significant, provided...
RA-Net: Region-Aware Attention Network for Skin Lesion Segmentation
RA-Net: Region-Aware Attention Network for Skin Lesion Segmentation
The precise segmentation of skin lesion in dermoscopic images is essential for the early detection of skin cancer. However...
Counterfactual Explanations in the Big Picture: An Approach for Process Prediction-Driven Job-Shop Scheduling Optimization
Counterfactual Explanations in the Big Picture: An Approach for Process Prediction-Driven Job-Shop Scheduling Optimization
In this study, we propose a pioneering framework for generating multi-objective counterfactual explanations in job-shop sc...
Detection of Cardiovascular Diseases Using Data Mining Approaches: Application of an Ensemble-Based Model
Detection of Cardiovascular Diseases Using Data Mining Approaches: Application of an Ensemble-Based Model
Cardiovascular diseases are the leading contributor of mortality worldwide. Accurate cardiovascular dise...
Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data
Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data
Differences in data size per class, also known as imbalanced data distribution, have become a common problem affecting dat...
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...
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