Timothy Oladunni

Orcid: 0000-0002-2693-5440

According to our database1, Timothy Oladunni authored at least 21 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Nonlinear Complexity Index for Wearable PPG Cardiovascular Stability: Multiscale Validation, Systematic Evaluation Correction, and Bayesian Parameter Optimization.
CoRR, May, 2026

Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography.
CoRR, May, 2026

Cardiac Stability Theory: An Axiomatically Grounded Framework for Continuous Cardiac Health Monitoring via Smartphone Photoplethysmography.
CoRR, April, 2026

Complementarity-Preserving Generative Theory for Multimodal ECG Synthesis: A Quantum-Inspired Approach.
CoRR, March, 2026

When Should a Model Change Its Mind? An Energy-Based Theory and Regularizer for Concept Drift in Electrocardiogram (ECG) Signals.
CoRR, February, 2026

2025
Explainable Deep Neural Network for Multimodal ECG Signals: Intermediate vs Late Fusion.
CoRR, August, 2025

Rethinking Multimodality: Optimizing Multimodal Deep Learning for Biomedical Signal Classification.
IEEE Access, 2025

Explainable Deep Neural Network for Multimodal ECG Signals: Intermediate Versus Late Fusion.
IEEE Access, 2025

2024
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers.
IEEE Access, 2024

2023
Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset.
Expert Syst. Appl., 2023

Text Mining and Emotion Classification on Monkeypox Twitter Dataset: A Deep Learning-Natural Language Processing (NLP) Approach.
IEEE Access, 2023

ML-ECG-COVID: A Machine Learning-Electrocardiogram Signal Processing Technique for COVID-19 Predictive Modeling.
IEEE Access, 2023

A Machine Learning-Sentiment Analysis on Monkeypox Outbreak: An Extensive Dataset to Show the Polarity of Public Opinion From Twitter Tweets.
IEEE Access, 2023

A CNN Transfer Learning -Electrocardiogram (ECG) Signal Approach to Predict COVID-19.
Proceedings of the 15th International Conference on Computer and Automation Engineering, 2023

2021
Deep neural networks for human's fall-risk prediction using force-plate time series signal.
Expert Syst. Appl., 2021

Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms.
Cybern. Syst., 2021

2020
Wind Speed Prediction and Visualization Using Long Short-Term Memory Networks (LSTM).
CoRR, 2020

2017
Foreclosure Sale and House Value: Correlation or Causation?
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

A Spatio - Temporal Hedonic House Regression Model.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016
Spatial Dependency and Hedonic Housing Regression Model.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Hedonic Housing Theory - A Machine Learning Investigation.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016


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