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A Machine Learning - Sentiment Analysis on Monkeypox Outbreak: An Extensive Dataset to Show the Polarity of Public Opinion from Twitter Tweets

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Text Mining and Emotion Classification on Monkeypox Twitter Dataset: A Deep Learning-Natural Language Processing (NLP) Approach

IEEE access, 2023, Vol.11, p.49882-49894

2023

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Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers

IEEE access, 2024, Vol.12, p.69812-69837

2024

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ML-ECG-COVID: A Machine Learning-Electrocardiogram Signal Processing Technique for COVID-19 Predictive Modeling

IEEE access, 2023, Vol.11, p.135994-136014

2023

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Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset

Expert systems with applications, 2023-02, Vol.212, p.118715-118715, Article 118715

2023

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A machine learning approach to epileptic seizure prediction using Electroencephalogram (EEG) Signal

Biocybernetics and biomedical engineering, 2020-07, Vol.40 (3), p.1328-1341

2020

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COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets

International journal of environmental research and public health, 2023-05, Vol.20 (10), p.5803

2023

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A Deep Learning Model for Source Code Generation

2019 SoutheastCon, 2019, p.1-7

2019

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IEEE_Xplore

Automatic Electrocardiogram Detection of Suspected Hypertrophic Cardiomyopathy: Application to Wearable Heart Monitors

IEEE sensors letters, 2021-08, Vol.5 (8), p.1-4

2021

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IEEE_Xplore

Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms

Cybernetics and systems, 2021, Vol.52 (1), p.105-126

2021

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Hedonic Pricing Theory - A Machine Learning Investigation

Oladunni, Timothy

2017

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ProQuest

An Occam's Razor Approach to Hedonic Pricing Theory

2017 International Conference on Computational Science and Computational Intelligence (CSCI), 2017, p.240-245

2017

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IEEE_Xplore

A CNN Transfer Learning -Electrocardiogram (ECG) Signal Approach to Predict COVID-19

2023 15th International Conference on Computer and Automation Engineering (ICCAE), 2023, p.367-371

2023

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COVID-19 Fatality Rate Classification Using Synthetic Minority Oversampling Technique (SMOTE) for Imbalanced Class

2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML), 2021, p.21-26

2021

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Spatial Dependency and Hedonic Housing Regression Model

2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016, p.553-558

2016

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Hedonic Housing Theory - A Machine Learning Investigation

2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016, p.522-527

2016

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Exponential Smoothing Forecast of African Americans' COVID-19 Fatalities

2021 2nd International Conference on Computing and Data Science (CDS), 2021, p.466-471

2021

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A Spatio - Temporal Hedonic House Regression Model

2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017, p.607-612

2017

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IEEE_Xplore

A Data Augmentation-Assisted Deep Learning Model for High Dimensional and Highly Imbalanced Hyperspectral Imaging Data

2019 9th International Conference on Information Science and Technology (ICIST), 2019, p.362-367

2019

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IEEE_Xplore

Wind Speed Prediction and Visualization Using Long Short-Term Memory Networks (LSTM)

2020 10th International Conference on Information Science and Technology (ICIST), 2020, p.234-240

2020

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IEEE_Xplore

Foreclosure Sale and House Value: Correlation or Causation?

2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017, p.613-618

2017

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IEEE_Xplore

A Gaussian Data Augmentation Technique on Highly Dimensional, Limited Labeled Data for Multiclass Classification Using Deep Learning

2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP), 2019, p.145-151

2019

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Data Augmentation for Mixed Spectral Signatures Coupled with Convolutional Neural Networks

2019 9th International Conference on Information Science and Technology (ICIST), 2019, p.402-407

2019

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IEEE_Xplore

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A Machine Learning - Sentiment Analysis on Monkeypox Outbreak: An Extensive Dataset to Show the Polarity of Public Opinion from Twitter Tweets

Text Mining and Emotion Classification on Monkeypox Twitter Dataset: A Deep Learning-Natural Language Processing (NLP) Approach

Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers

ML-ECG-COVID: A Machine Learning-Electrocardiogram Signal Processing Technique for COVID-19 Predictive Modeling

Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset

A machine learning approach to epileptic seizure prediction using Electroencephalogram (EEG) Signal

COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets

A Deep Learning Model for Source Code Generation

Automatic Electrocardiogram Detection of Suspected Hypertrophic Cardiomyopathy: Application to Wearable Heart Monitors

Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms

Hedonic Pricing Theory - A Machine Learning Investigation

An Occam's Razor Approach to Hedonic Pricing Theory

A CNN Transfer Learning -Electrocardiogram (ECG) Signal Approach to Predict COVID-19

COVID-19 Fatality Rate Classification Using Synthetic Minority Oversampling Technique (SMOTE) for Imbalanced Class

Spatial Dependency and Hedonic Housing Regression Model

Hedonic Housing Theory - A Machine Learning Investigation

Exponential Smoothing Forecast of African Americans' COVID-19 Fatalities

A Spatio - Temporal Hedonic House Regression Model

A Data Augmentation-Assisted Deep Learning Model for High Dimensional and Highly Imbalanced Hyperspectral Imaging Data

Wind Speed Prediction and Visualization Using Long Short-Term Memory Networks (LSTM)

Foreclosure Sale and House Value: Correlation or Causation?

A Gaussian Data Augmentation Technique on Highly Dimensional, Limited Labeled Data for Multiclass Classification Using Deep Learning

Data Augmentation for Mixed Spectral Signatures Coupled with Convolutional Neural Networks

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