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A wavelet-based technique to predict treatment outcome for Major Depressive Disorder

PloS one, 2017-02, Vol.12 (2), p.e0171409-e0171409

2017

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The Expanding Role of Artificial Intelligence in Collaborative Robots for Industrial Applications: A Systematic Review of Recent Works

Machines (Basel), 2023-01, Vol.11 (1), p.111

2023

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Cortical signals analysis to recognize intralimb mobility using modified RNN and various EEG quantities

Heliyon, 2024-05, Vol.10 (9), p.e30406-e30406, Article e30406

2024

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A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD)

Medical & biological engineering & computing, 2018-02, Vol.56 (2), p.233-246

2018

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Real-Time Stress Assessment Using Sliding Window Based Convolutional Neural Network

Sensors (Basel, Switzerland), 2020-08, Vol.20 (16), p.4400

2020

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Performance Evaluation of EEG Based Mental Stress Assessment Approaches for Wearable Devices

Frontiers in neurorobotics, 2022-02, Vol.15, p.819448-819448

2022

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A Novel Fuzzy-Logic-Based Multi-Criteria Metric for Performance Evaluation of Spam Email Detection Algorithms

Applied sciences, 2022-07, Vol.12 (14), p.7043

2022

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An Adaptive Learning Rate for RBFNN Using Time-Domain Feedback Analysis

TheScientificWorld, 2014-01, Vol.2014 (2014), p.1-9

2014

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Machine Learning and Stress Assessment: A Review

2018 3rd International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST), 2018, p.1-4

2018

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Machine Learning Aided Channel Equalization in Filter Bank Multi-Carrier Communications for 5G

Wearable and Neuronic Antennas for Medical and Wireless Applications, 2022

2022

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Real-time Efficacy of Features Extraction using Machine Learning and Deep Learning for Frontal Alpha Asymmetry

2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA), 2022, p.1-4

2022

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Detrended fluctuation analysis for major depressive disorder

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, Vol.2015, p.4162-4165

2015

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Either crop or pad the input volume: What is beneficial for Convolutional Neural Network?

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS), 2021, p.1-6

2021

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Prediction of Eye State Using KNN Algorithm

2018 International Conference on Intelligent and Advanced System (ICIAS), 2018, p.1-5

2018

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Optimal Training of Feedforward Neural Networks Using Teaching-Learning-Based Optimization with Modified Learning Phases

Proceedings of the 12th National Technical Seminar on Unmanned System Technology 2020, p.867-887

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Auditory Evoked Potentials (AEPs) Response Classification: A Fast Fourier Transform (FFT) and Support Vector Machine (SVM) Approach

Proceedings of the 12th National Technical Seminar on Unmanned System Technology 2020, p.539-549

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A wavelet-based technique to predict treatment outcome for Major Depressive Disorder

The Expanding Role of Artificial Intelligence in Collaborative Robots for Industrial Applications: A Systematic Review of Recent Works

Cortical signals analysis to recognize intralimb mobility using modified RNN and various EEG quantities

A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD)

Real-Time Stress Assessment Using Sliding Window Based Convolutional Neural Network

Performance Evaluation of EEG Based Mental Stress Assessment Approaches for Wearable Devices

A Novel Fuzzy-Logic-Based Multi-Criteria Metric for Performance Evaluation of Spam Email Detection Algorithms

An Adaptive Learning Rate for RBFNN Using Time-Domain Feedback Analysis

Machine Learning and Stress Assessment: A Review

Machine Learning Aided Channel Equalization in Filter Bank Multi-Carrier Communications for 5G

Real-time Efficacy of Features Extraction using Machine Learning and Deep Learning for Frontal Alpha Asymmetry

Detrended fluctuation analysis for major depressive disorder

Either crop or pad the input volume: What is beneficial for Convolutional Neural Network?

Prediction of Eye State Using KNN Algorithm

Optimal Training of Feedforward Neural Networks Using Teaching-Learning-Based Optimization with Modified Learning Phases

Auditory Evoked Potentials (AEPs) Response Classification: A Fast Fourier Transform (FFT) and Support Vector Machine (SVM) Approach

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