Abigail Copiaco

Orcid: 0000-0003-2542-8604

According to our database1, Abigail Copiaco authored at least 31 papers between 2019 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
CEEMDAN-Based Multiscale CNN for Wind Turbine Gearbox Fault Detection.
CoRR, January, 2026

Hybrid ensemble learning for Autism Spectrum Disorder screening using eye-tracking scanpath.
Array, 2026

A Lightweight Deep-Feature and SVM Framework for Autism Screening Using Eye-Tracking Scanpath Images.
Proceedings of the IEEE International Conference on Consumer Electronics, 2026

2025
Exploring 2D representation and transfer learning techniques for indoor localization.
Multim. Tools Appl., October, 2025

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis.
CoRR, June, 2025

Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey.
Inf. Fusion, 2025

Home-Based Background Noise Levels Assessment Tool Using Machine Learning.
Proceedings of the 8th International Conference on Signal Processing and Information Security, 2025

Hybrid Deep Feature Extraction and ML for Construction and Demolition Debris Classification.
Proceedings of the 8th International Conference on Signal Processing and Information Security, 2025

Fusion of Handcrafted and LSTM-Derived Features for Robust ASD Classification from Eye-Tracking Data.
Proceedings of the 8th International Conference on Signal Processing and Information Security, 2025

Enhanced Electrical Fault Prediction Using Feature Engineering and Image Transform-Based Analysis.
Proceedings of the 2025 5th International Conference on Electrical, 2025

Exploring Image Transforms derived from Eye Gaze Variables for Progressive Autism Diagnosis.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2025

2024
Exploring the Potential of Deep-Learning and Machine-Learning in Dual-Band Antenna Design.
IEEE Open J. Comput. Soc., 2024

Uncovering the Potential of Indoor Localization: Role of Deep and Transfer Learning.
IEEE Access, 2024

A Study on the Performance of Sleeve Dipole Antenna for Rashid Rover.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

An Ensembled Convolutional Recurrent Neural Network approach for Automated Classroom Sound Classification.
Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Machine Learning Analysis of Atmospheric Effects on Electromagnetic Wave Propagation in the UAE.
Proceedings of the 7th International Conference on Signal Processing and Information Security, 2024

Machine Learning-Driven Fault Detection System for Electrical Networks.
Proceedings of the 7th International Conference on Signal Processing and Information Security, 2024

2023
A Review of Lunar Communications and Antennas: Assessing Performance in the Context of Propagation and Radiation.
Sensors, December, 2023

An innovative deep anomaly detection of building energy consumption using energy time-series images.
Eng. Appl. Artif. Intell., March, 2023

Analyzing the Effect of COVID-19 on Education by Processing Users' Sentiments.
Big Data Cogn. Comput., March, 2023

Exploring 2D Representation and Transfer Learning Techniques for People Identification in Indoor Localization.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

Advancing a Cascaded Machine Learning Approach for the Accurate Estimation of Antenna Parameters.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

2022
Comparison of Feature Extraction and Classification Techniques of PE Malware.
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

Identification of Robust Features for Classifying Spam and Ham Images using Transfer Learning.
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

Recommendation System Towards Residential Energy Saving Based on Anomaly Detection.
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

2021
DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment.
CoRR, 2021

Development of a Synthetic Database for Compact Neural Network Classification of Acoustic Scenes in Dementia Care Environments.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Identifying Sound Source Node Locations Using Neural Networks Trained with Phasograms.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2020

An Application for Dementia Patient Monitoring with Sound Level Assessment Tool.
Proceedings of the 3rd International Conference on Signal Processing and Information Security, 2020

2019
Scalogram Neural Network Activations with Machine Learning for Domestic Multi-channel Audio Classification.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019

Identifying Optimal Features for Multi-channel Acoustic Scene Classification.
Proceedings of the 2nd International Conference on Signal Processing and Information Security, 2019


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