Saadullah Farooq Abbasi
Orcid: 0000-0001-9814-3023
According to our database1,
Saadullah Farooq Abbasi
authored at least 17 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting.
CoRR, 2024
Optimizing Tumor Classification Through Transfer Learning and Particle Swarm Optimization-Driven Feature Extraction.
IEEE Access, 2024
Single-Channel EEG Data Analysis Using a Multi-Branch CNN for Neonatal Sleep Staging.
IEEE Access, 2024
A Self-Attention-Based Deep Convolutional Neural Networks for IIoT Networks Intrusion Detection.
IEEE Access, 2024
A Deep Features Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classification.
Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024
INSAFEDARE Project: Innovative Applications of Assessment and Assurance of Data and Synthetic Data for Regulatory Decision Support.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Development of a CNN for Adult Brain Tumour Characterisation: Implications and Future Directions for Transfer Learning.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
2023
IEEE Internet Things J., 2023
2022
Predicting Feeding Conditions of Premature Infants Through Non-Nutritive Sucking Skills Using a Sensitized Pacifier.
IEEE Trans. Biomed. Eng., 2022
2021
A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video.
IEEE J. Biomed. Health Informatics, 2021
2020
Novel Framework: Face Feature Selection Algorithm for Neonatal Facial and Related Attributes Recognition.
IEEE Access, 2020
EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network.
IEEE Access, 2020
Evaluation of Apgar Scores and Non-Nutritive Sucking Skills in Infants Using a Novel Sensitized Non-Nutritive Sucking System.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
2018
Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018