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EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm
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Outgoing claims: the papers this work cites, builds on, or argues with.
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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EEG-based Mental Workload Assessment using a Graph Attention Network
inferred← citeshttps://doi.org/10.1109/icdh52753.2021.00022openalex-snapshot
Exploring Relationships between Cerebral and Peripheral Biosignals with Neural Networks
inferred← citeshttps://doi.org/10.1109/iceca58529.2023.10395623openalex-snapshot
Electroencephalography (EEG) Based Prediction of Learning and Responsiveness Among Students
inferred← citeshttps://doi.org/10.1109/icftic59930.2023.10456266openalex-snapshot
Investigating Changes in Delta Power Spectral Density of EEG in Participants Performing Different Tasks
inferred← citeshttps://doi.org/10.1109/ichms59971.2024.10555620openalex-snapshot
How do the levels of automation in flight operations affect pilots’ cognitive workload, reaction time, and EEG brain waves in cruising flights?
inferred← citeshttps://doi.org/10.1109/icnwc68145.2026.11518156openalex-snapshot
Multi-Level EEG Signal Analysis for Mental Workload Classification using Hybrid CNN-Transformer-BiLSTM Model
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412869openalex-snapshot
EEG-Based Cognitive State Assessment Using Deep Ensemble Model and Filter Bank Common Spatial Pattern
inferred← citeshttps://doi.org/10.1109/icpr56361.2022.9955632openalex-snapshot
Multimodal Deep Sparse Subspace Clustering for Multiple Stimuli-based Cognitive task
inferred← citeshttps://doi.org/10.1109/icsct53883.2021.9642567openalex-snapshot
Predicting the Correctness of Mental Arithmetic Task From EEG Using Deep Learning
inferred← citeshttps://doi.org/10.1109/ictacs62700.2024.10840874openalex-snapshot
EEG-Based Mental Workload Estimation Using Bidirectional LSTM
inferred← citeshttps://doi.org/10.1109/icts52701.2021.9608000openalex-snapshot
Binary Chaotic Jaya Optimization for Cognitive State Assessment
inferred← citeshttps://doi.org/10.1109/jbhi.2023.3281793openalex-snapshot
EEG-Based Mental Workload Classification Method Based on Hybrid Deep Learning Model Under IoT
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3513038openalex-snapshot
AdaptEEG: A Deep Subdomain Adaptation Network With Class Confusion Loss for Cross-Subject Mental Workload Classification
inferred← citeshttps://doi.org/10.1109/jiot.2025.3585116openalex-snapshot
EEG-Driven Classification of Driver Mental Workload in Diverse Environments: A Dual-Branch Network for Efficient In-Vehicle Applications
inferred← citeshttps://doi.org/10.1109/melecon56669.2024.10608767openalex-snapshot
Dual-Radar Integration for Vital Signs Acquisition under Heavy Body Movement using Machine Learning
inferred← citeshttps://doi.org/10.1109/msp.2025.3611565openalex-snapshot
The Marriage of Neurotechnologies and Artificial Intelligence: Ethical, regulatory, and technological aspects
inferred← citeshttps://doi.org/10.1109/qpain66474.2025.11171964openalex-snapshot
EEG-Based Workload Estimation and Classification Using Discrete Wavelet Transform and Statistical Features
inferred← citeshttps://doi.org/10.1109/tcds.2021.3090217openalex-snapshot
Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review
inferred← citeshttps://doi.org/10.1109/tcds.2021.3116079openalex-snapshot
EEG-Based Cognitive State Classification and Analysis of Brain Dynamics Using Deep Ensemble Model and Graphical Brain Network
inferred← citeshttps://doi.org/10.1109/tcds.2022.3163020openalex-snapshot
Cognitive Workload Estimation Using Variational Autoencoder and Attention-Based Deep Model
inferred← citeshttps://doi.org/10.1109/tcds.2024.3460750openalex-snapshot
Mental Workload Assessment Using Deep Learning Models From EEG Signals: A Systematic Review
inferred← citeshttps://doi.org/10.1109/tce.2025.3618009openalex-snapshot
Deep Fusion of VGG19 and ConvMixer With Superlet Transform for Cognitive Load Detection
inferred← citeshttps://doi.org/10.1109/tim.2023.3265114openalex-snapshot
Topological EEG-Based Functional Connectivity Analysis for Mental Workload State Recognition
inferred← citeshttps://doi.org/10.1109/tim.2024.3369143openalex-snapshot
ARFN: An Attention-Based Recurrent Fuzzy Network for EEG Mental Workload Assessment
inferred← citeshttps://doi.org/10.1109/tim.2024.3373070openalex-snapshot
Generic Mental Workload Measurement Using a Shared Spatial Map Network With Different EEG Channel Layouts
inferred← citeshttps://doi.org/10.1109/tim.2024.3470966openalex-snapshot
EEG-Based Mental Workload Assessment in a Simulated Flight Task Using Single-Channel Brain Rhythm Sequence
inferred← citeshttps://doi.org/10.1109/tits.2025.3567987openalex-snapshot
Keeping Pilots in the Loop: An Explainable Spatiotemporal EEG-Driven Deep Learning Framework for Adaptive Automation in Cruising Flight Phase
inferred← citeshttps://doi.org/10.1109/tnsre.2024.3380595openalex-snapshot
TBEEG: A Two-Branch Manifold Domain Enhanced Transformer Algorithm for Learning EEG Decoding
inferred← citeshttps://doi.org/10.1109/tribes52498.2021.9751676openalex-snapshot
Mental Workload Classification for Multitasking Test using Electroencephalogram Signal
inferred← citeshttps://doi.org/10.1142/s0218348x23501360openalex-snapshot
ANALYSIS OF THE CHANGES IN THE BRAIN ACTIVITY BETWEEN REST AND MULTITASKING WORKLOAD BY COMPLEXITY-BASED ANALYSIS OF EEG SIGNALS
inferred← citeshttps://doi.org/10.1145/3604383.3604391openalex-snapshot
Recognition of Pilot Mental workload in the Simulation Operation of Carrier-based Aircraft Using the Portable EEG
inferred← citeshttps://doi.org/10.1145/3606283.3606291openalex-snapshot
Improved Classification of Mental Workload Using One Dimensional Convolutional Neural Network and SMOTE Technique
inferred← citeshttps://doi.org/10.1145/3704522.3704555openalex-snapshot
Short Paper: Revealing the Self: Brainwave-Based Human Trait Identification
inferred← citeshttps://doi.org/10.1155/2022/4086213openalex-snapshot
Genetic Algorithm-Based Human Mental Stress Detection and Alerting in Internet of Things
inferred← citeshttps://doi.org/10.1155/2022/5233257openalex-snapshot
Detection of the Driver’s Mental Workload Level in Smart and Autonomous Systems Using Physiological Signals
inferred← citeshttps://doi.org/10.1177/03611981231156576openalex-snapshot
Measurement and Real-Time Recognition of Driver Trust in Conditionally Automated Vehicles: Using Multimodal Feature Fusions Network
inferred← citeshttps://doi.org/10.1177/03611981231189741openalex-snapshot
Evaluating Driving Safety of Road Alignment Conditions by Predicted Driver’s Psychophysiological Workload Using Vehicle Maneuvering Data
inferred← citeshttps://doi.org/10.1177/21582440261469601openalex-snapshot
Toward Intelligent Cognitive Load Estimation: A Systematic Synthesis of Machine and Deep Learning Techniques, Challenges, and Prospective Developments
inferred← citeshttps://doi.org/10.13005/bpj/3052openalex-snapshot
Optimized EEG-Based Stress Detection: A Novel Approach
inferred← citeshttps://doi.org/10.13005/bpj/3085openalex-snapshot
AI-Driven Multimodal Stress Detection: A Comparative Study
inferred← citeshttps://doi.org/10.1371/journal.pone.0352882openalex-snapshot
Hybrid deep learning for mental workload classification using EEG with enhanced preprocessing and interpretability
inferred← citeshttps://doi.org/10.14445/23488549/ijece-v10i11p106openalex-snapshot
Integrated Approach for Enhanced EEG-Based Emotion Recognition with Hybrid Deep Neural Network and Optimized Feature Selection
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.01405110openalex-snapshot
Detection of Epileptic Seizures Based-on Channel Fusion and Transformer Network in EEG Recordings
inferred← citeshttps://doi.org/10.17760/d20399921openalex-snapshot
Can mental workload in EEG tasks be classified using machine learning algorithms?
inferred← citeshttps://doi.org/10.2139/ssrn.5178723openalex-snapshot
Neurostressology: A Systematic Review of Eeg-Based Automated Mental Stress Perspectives
inferred← citeshttps://doi.org/10.2139/ssrn.5210145openalex-snapshot
Comparative Analysis of Mental Workload in Real vs. Graphic Virtual Reality Environments: Insights from Eeg and Subjective Assessments
inferred← citeshttps://doi.org/10.2174/9789815196443123010004openalex-snapshot
Evaluation of Bio-inspired Computational Methods for Measuring Cognitive Workload
inferred← citeshttps://doi.org/10.2339/politeknik.794655openalex-snapshot
EEG Sinyalleri Kullanılarak Zihinsel İş Yükü Seviyelerinin Sınıflandırılması
inferred← citeshttps://doi.org/10.2514/6.2025-2253openalex-snapshot
Workload Classification for Function Allocations in Human-Autonomy Teaming Using Noninvasive Measurements
inferred← citeshttps://doi.org/10.3389/fncom.2022.1006763openalex-snapshot
Status of deep learning for EEG-based brain–computer interface applications
inferred← citeshttps://doi.org/10.3389/fnhum.2021.692878openalex-snapshot
Mental Workload Estimation Based on Physiological Features for Pilot-UAV Teaming Applications
inferred← citeshttps://doi.org/10.3389/fnhum.2022.901387openalex-snapshot
Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces
inferred← citeshttps://doi.org/10.3389/fnins.2021.703139openalex-snapshot
Cross-Task Consistency of Electroencephalography-Based Mental Workload Indicators: Comparisons Between Power Spectral Density and Task-Irrelevant Auditory Event-Related Potentials
inferred← citeshttps://doi.org/10.3389/fnins.2022.869522openalex-snapshot
EEG-TNet: An End-To-End Brain Computer Interface Framework for Mental Workload Estimation
inferred← citeshttps://doi.org/10.3389/fnins.2023.1276067openalex-snapshot
A learnable EEG channel selection method for MI-BCI using efficient channel attention
inferred← citeshttps://doi.org/10.3389/fnrgo.2025.1621309openalex-snapshot
Machine learning performance in EEG-based mental workload classification across task types: a systematic review
inferred← citeshttps://doi.org/10.3390/app13042129openalex-snapshot
Cognitive Reorganization Due to Mental Workload: A Functional Connectivity Analysis Based on Working Memory Paradigms
inferred← citeshttps://doi.org/10.3390/app16115506openalex-snapshot
Optimal Transport and Graph Neural Networks for Cross-Session Mental Workload Classification
inferred← citeshttps://doi.org/10.3390/brainsci11010075openalex-snapshot
Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic Review
inferred← citeshttps://doi.org/10.3390/brainsci11060698openalex-snapshot
EEG-Based Tool for Prediction of University Students’ Cognitive Performance in the Classroom
inferred← citeshttps://doi.org/10.3390/diagnostics13111936openalex-snapshot
Hybrid Deep Learning Approach for Stress Detection Using Decomposed EEG Signals
inferred← citeshttps://doi.org/10.3390/electronics12194008openalex-snapshot
Cognitive Workload Classification in Industry 5.0 Applications: Electroencephalography-Based Bi-Directional Gated Network Approach
inferred← citeshttps://doi.org/10.3390/electronics14142744openalex-snapshot
A Comparative Study on Machine Learning Methods for EEG-Based Human Emotion Recognition
inferred← citeshttps://doi.org/10.3390/ijerph182211891openalex-snapshot
Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study
inferred← citeshttps://doi.org/10.3390/info16020099openalex-snapshot
Movement Compensation in Dual Continuous Wave Radar Using Deep Learning
inferred← citeshttps://doi.org/10.3390/math10030488openalex-snapshot
A New Hybrid Based on Long Short-Term Memory Network with Spotted Hyena Optimization Algorithm for Multi-Label Text Classification
inferred← citeshttps://doi.org/10.3390/math11051189openalex-snapshot
A Mental Workload Classification Method Based on GCN Modified by Squeeze-and-Excitation Residual
inferred← citeshttps://doi.org/10.3390/s20185122openalex-snapshot
Pattern Recognition of Cognitive Load Using EEG and ECG Signals
inferred← citeshttps://doi.org/10.3390/s21206710openalex-snapshot
Subject-Specific Cognitive Workload Classification Using EEG-Based Functional Connectivity and Deep Learning
inferred← citeshttps://doi.org/10.3390/s23031367openalex-snapshot
Reliability of Mental Workload Index Assessed by EEG with Different Electrode Configurations and Signal Pre-Processing Pipelines
inferred← citeshttps://doi.org/10.3390/s23239352openalex-snapshot
EEG Amplitude Modulation Analysis across Mental Tasks: Towards Improved Active BCIs
inferred← citeshttps://doi.org/10.3390/s25134207openalex-snapshot
Human-Centric Cognitive State Recognition Using Physiological Signals: A Systematic Review of Machine Learning Strategies Across Application Domains
inferred← citeshttps://doi.org/10.34248/bsengineering.1966267openalex-snapshot
ATM Nakit Talep Tahmininde RNN Mimarilerinin Başarımı: LSTM, GRU, Bi-LSTM ve CNN-LSTM
inferred← citeshttps://doi.org/10.36227/techrxiv.15066642openalex-snapshot
Quantification of Mental Workload Using a Cascaded Deep One-dimensional Convolution Neural Network and Bi-directional Long Short-Term Memory Model
inferred← citeshttps://doi.org/10.36227/techrxiv.15066642.v1openalex-snapshot
Quantification of Mental Workload Using a Cascaded Deep One-dimensional Convolution Neural Network and Bi-directional Long Short-Term Memory Model
inferred← citeshttps://doi.org/10.36227/techrxiv.15066642.v2openalex-snapshot
Quantification of Mental Workload Using a Cascaded Deep One-dimensional Convolution Neural Network and Bi-directional Long Short-Term Memory Model
inferred← citeshttps://doi.org/10.4018/979-8-3693-1210-0.ch011openalex-snapshot
Deep-Mental Workload Intelligent System
inferred← citeshttps://doi.org/10.4149/bll_2022_064openalex-snapshot
Mental arithmetic task detection using geometric features extraction of EEG signal based on machine learning
inferred← citeshttps://doi.org/10.48550/arxiv.2111.02561openalex-snapshot
MAUS: A Dataset for Mental Workload Assessmenton N-back Task Using Wearable Sensor
inferred← citeshttps://doi.org/10.56038/ejrnd.v2i4.193openalex-snapshot
Classification Mental Workload Levels from EEG Signals with 1D Convolutional Neural Network
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