Norah Saleh Alghamdi

Orcid: 0000-0001-6421-6001

According to our database1, Norah Saleh Alghamdi authored at least 60 papers between 2011 and 2025.

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

Timeline

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Bibliography

2025
Enhanced Semantic Natural Scenery Retrieval System Through Novel Dominant Colour and Multi-Resolution Texture Feature Learning Model.
Expert Syst. J. Knowl. Eng., February, 2025

Artificial intelligence-enabled smart city management using multi-objective optimization strategies.
Expert Syst. J. Knowl. Eng., January, 2025

2024
Next-Gen WSN Enabled IoT for Consumer Electronics in Smart City: Elevating Quality of Service Through Reinforcement Learning-Enhanced Multi-Objective Strategies.
IEEE Trans. Consumer Electron., November, 2024

A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds.
Multim. Tools Appl., October, 2024

Fuzzy Controller Designed-Based Multilevel Inverter for Power Quality Enhancement.
IEEE Trans. Consumer Electron., May, 2024

Toward Efficient Fire Detection in IoT Environment: A Modified Attention Network and Large-Scale Data Set.
IEEE Internet Things J., April, 2024

SMoSE: Artificial Intelligence-Based Smart City Framework Using Multi-Objective and IoT Approach for Consumer Electronics Application.
IEEE Trans. Consumer Electron., February, 2024

Advanced OCTA imaging segmentation: Unsupervised, non-linear retinal vessel detection using modified self-organizing maps and joint MGRF modeling.
Comput. Methods Programs Biomed., 2024

A power prediction approach for a solar-powered aerial vehicle enhanced by stacked machine learning technique.
Comput. Electr. Eng., 2024

FDUM-Net: An enhanced FPN and U-Net architecture for skin lesion segmentation.
Biomed. Signal Process. Control., 2024

A Novel Machine Learning Approach for Predicting Neoadjuvant Chemotherapy Response in Breast Cancer: Integration of Multimodal Radiomics With Clinical and Molecular Subtype Markers.
IEEE Access, 2024

Optimizing Vertebral Lesion Diagnosis: A CAD-Driven Machine Learning Classification System With Multi-Modal MRI Texture Analysis.
IEEE Access, 2024

Incorporating Imaging, Clinical, Pathology, and Demographic Markers for Hormonal Therapy Prediction in Prostate Cancer.
IEEE Access, 2024

Sentiment Analysis of Arabic Tweets using ARABERT as a fine tuner and feature extractors.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO).
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Novel Machine Learning-Based Classification Framework for Age-Related Macular Degeneration (AMD) Diagnosis from Fundus Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

A Neuroimaging ML-Based Framework for Anosmia Grading in Covid-19.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Advancing Personalized Prostate Cancer Therapy Through Hormonal Treatment: Promising Findings.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Visual Intelligence in Precision Agriculture: Exploring Plant Disease Detection via Efficient Vision Transformers.
Sensors, August, 2023

A Kullback-Liebler divergence-based representation algorithm for malware detection.
PeerJ Comput. Sci., 2023

A neutrosophic WPM-based machine learning model for device trust in industrial internet of things.
J. Ambient Intell. Humaniz. Comput., 2023

Integrated Deep Learning and Stochastic Models for Accurate Segmentation of Lung Nodules From Computed Tomography Images: A Novel Framework.
IEEE Access, 2023

Vision Transformer and Language Model Based Radiology Report Generation.
IEEE Access, 2023

Diabetic Retinopathy Detection Using 3D OCT Features.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Signal Processing and Deep Learning Based Smartwatch Photoplethysmography Data Classification of Atrial Fibrillation, Premature Atrial and Ventricular Contraction.
Proceedings of the 9th International Conference on Control, 2023

2022
Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models.
Sensors, 2022

Continual Learning Objective for Analyzing Complex Knowledge Representations.
Sensors, 2022

A Fuzzy-Based Context-Aware Misbehavior Detecting Scheme for Detecting Rogue Nodes in Vehicular Ad Hoc Network.
Sensors, 2022

Detection of Diabetic Retinopathy Using Extracted 3D Features from OCT Images.
Sensors, 2022

An Aggregated Mutual Information Based Feature Selection with Machine Learning Methods for Enhancing IoT Botnet Attack Detection.
Sensors, 2022

A deep learning approach for the classification of TB from NIH CXR dataset.
IET Image Process., 2022

A novel hybrid meta-heuristic contrast stretching technique for improved skin lesion segmentation.
Comput. Biol. Medicine, 2022

Introducing Cloud-Assisted Micro-Service-Based Software Development Framework for Healthcare Systems.
IEEE Access, 2022

Machine Learning and Signal Processing Based Analysis of sEMG Signals for Daily Action Classification.
IEEE Access, 2022

Generation and Detection of Face Morphing Attacks.
IEEE Access, 2022

2021
A Comprehensive Computer-Assisted Diagnosis System for Early Assessment of Renal Cancer Tumors.
Sensors, 2021

Precise Segmentation of COVID-19 Infected Lung from CT Images Based on Adaptive First-Order Appearance Model with Morphological/Anatomical Constraints.
Sensors, 2021

A CNN Deep Local and Global ASD Classification Approach with Continuous Wavelet Transform Using Task-Based FMRI.
Sensors, 2021

An Automated CAD System for Accurate Grading of Uveitis Using Optical Coherence Tomography Images.
Sensors, 2021

A Personalized Computer-Aided Diagnosis System for Mild Cognitive Impairment (MCI) Using Structural MRI (sMRI).
Sensors, 2021

Precise Identification of Prostate Cancer from DWI Using Transfer Learning.
Sensors, 2021

Capturing the real customer experience based on the parameters in the call detail records.
Multim. Tools Appl., 2021

Sentiment classification and aspect-based sentiment analysis on yelp reviews using deep learning and word embeddings.
J. Decis. Syst., 2021

Correction to: Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis.
J. Digit. Imaging, 2021

Health data warehouses: reviewing advanced solutions for medical knowledge discovery.
Int. J. Bus. Intell. Data Min., 2021

Lung Segmentation-Based Pulmonary Disease Classification Using Deep Neural Networks.
IEEE Access, 2021

2020
Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis.
J. Digit. Imaging, 2020

Addressing Unequal Area Facility Layout Problems with the Coral Reef Optimization algorithm with Substrate Layers.
Eng. Appl. Artif. Intell., 2020

A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images.
Comput. Medical Imaging Graph., 2020

A Secure Framework for Authentication and Encryption Using Improved ECC for IoT-Based Medical Sensor Data.
IEEE Access, 2020

Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging.
IEEE Access, 2020

Predicting Depression Symptoms in an Arabic Psychological Forum.
IEEE Access, 2020

2019
Monitoring Mental Health Using Smart Devices with Text Analytical Tool.
Proceedings of the 6th International Conference on Control, 2019

2016
Improving the performance of processing recursive structures of XML path queries and data.
Proceedings of the International Conference on Control, 2016

2015
Efficient Processing of Queries over Recursive XML Data.
Proceedings of the 29th IEEE International Conference on Advanced Information Networking and Applications, 2015

2014
Semantic-based Structural and Content indexing for the efficient retrieval of queries over large XML data repositories.
Future Gener. Comput. Syst., 2014

2013
Object-Based Semantic Partitioning for XML Twig Query Optimization.
Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications, 2013

Semantic-based Construction of Content and Structure XML Index.
Proceedings of the Twenty-Fourth Australasian Database Conference, 2013

2012
OXDP & OXiP: the notion of objects for efficient large XML data queries.
Int. J. Grid Util. Comput., 2012

2011
Object-Based Methodology for XML Data Partitioning (OXDP).
Proceedings of the 25th IEEE International Conference on Advanced Information Networking and Applications, 2011


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