Multi-label deep learning for comprehensive optic nerve head segmentation through data of fundus images

Multi-label deep learning for comprehensive optic nerve head segmentation through data of fundus images

By Najdavan Abduljawad Kako | Heliyonhttps://www.sciencedirect.com/science/article/pii/S2405844024130277Early diagnosis and continuous monitoring of patients with eye diseases are critical in compute…

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Predicting strength and strain of circular concrete cross-sections confined with FRP under axial compression by utilizing ANN

Predicting strength and strain of circular concrete cross-sections confined with FRP under axial compression by utilizing ANN

By Yaman Sami Shareef | Computers and Concretehttps://doi.org/10.12989/cac.2024.34.1.093One well-known reason for using Fiber Reinforced Polymer (FRP) composites is to improve concrete strength and s…

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Comparative Analysis of Classical Machine Learning and Deep Learning Methods for Fruit Image Recognition and Classification

Comparative Analysis of Classical Machine Learning and Deep Learning Methods for Fruit Image Recognition and Classification

By Nareen Obedullah Muhamad | Traitement du Signalhttps://doi.org/10.18280/ts.410322In this investigation, the crucial role of fruits in daily lives is acknowledged, with emphasis placed on their sig…

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Comparative analysis of medicinal plants from Kurdistan region-Iraq for chemical constituents and bioactivities

Comparative analysis of medicinal plants from Kurdistan region-Iraq for chemical constituents and bioactivities

By Anwer Normohamad Mamdoh | Plant Science Todayhttps://doi.org/10.14719/pst.3582The medicinal plants in Kurdistan-Iraq are used widely for the treatment of many diseases. Therefore, it is very inter…

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Improving Autonomous Vehicle Perception through Evaluating LiDAR Capabilities and Handheld Retroreflectivity Assessments

Improving Autonomous Vehicle Perception through Evaluating LiDAR Capabilities and Handheld Retroreflectivity Assessments

By Ziyad Nayef Shamsulddin | Sensorshttps://www.mdpi.com/1424-8220/24/11/3304Road safety is a serious concern worldwide, and traffic signs play a critical role in confirming road safety, particularly…

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Diabetic retinopathy detection using Bilayered Neural Network classification model with resubstitution validation

Diabetic retinopathy detection using Bilayered Neural Network classification model with resubstitution validation

By Herman Khalid Omer | MethodsXhttps://doi.org/10.1016/j.mex.2024.102705In recent years, eye diseases in diabetic patients are one of the most common has been diabetic retinopathy (DR). which leads …

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EEG-Based Autism Detection Using Multi-Input 1D Convolutional Neural Networks

EEG-Based Autism Detection Using Multi-Input 1D Convolutional Neural Networks

By Naaman Omar Yaseen | Traitement du Signalhttps://doi.org/10.18280/ts.410128Autism Spectrum Disorder (ASD) is a complex condition affecting children and characterized by challenges in social intera…

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Cybernet Model: A New Deep Learning Model for Cyber DDoS Attacks Detection and Recognition

Cybernet Model: A New Deep Learning Model for Cyber DDoS Attacks Detection and Recognition

By Azar Abid Salih | Computers, Materials & ContinuaDOI: 10.32604/cmc.2023.046101Cyberspace is extremely dynamic, with new attacks arising daily. Protecting cybersecurity controls is vital for ne…

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Molecular Characterization of Hemophilia A Patients in Duhok, Iraq

Molecular Characterization of Hemophilia A Patients in Duhok, Iraq

By Najeeb Saeed Rasheed I Pharmacophorehttps://doi.org/10.51847/YerIDDpIcmThe gene for coagulation factor VIII in hemophilia has more than 250 distinct mutations, and documentation of these mutations…

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Flag-Based Vehicular Clustering Scheme for Vehicular Ad-Hoc Networks

Flag-Based Vehicular Clustering Scheme for Vehicular Ad-Hoc Networks

By Fady Esmat Fathel Samann | CMChttps://doi.org/10.32604/cmc.2023.043580 Clustering schemes in vehicular networks organize vehicles into logical groups. They are vital for improving network performa…

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