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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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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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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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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Examining the Use of Scott’s Formula and Link Expiration Time Metric for Vehicular Clustering

Examining the Use of Scott’s Formula and Link Expiration Time Metric for Vehicular Clustering

By Fady Esmat Fathel Samann | CMEShttps://doi.org/10.32604/cmes.2023.031265Implementing machine learning algorithms in the non-conducive environment of the vehicular network requires some adaptations…

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Addressing the Issues and Developments Correlated with Envisaged 5G Mobile Technologies: Comprehensive Solutions

Addressing the Issues and Developments Correlated with Envisaged 5G Mobile Technologies: Comprehensive Solutions

By Idrees Sarhan Kocher | CMCDOI: 10.32604/cmc.2023.039392Fifth Generation (5G) communications are regarded as the cornerstone to household consumer experience improvements and smart manufacturing re…

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Integration of Face and Gait Recognition via Transfer Learning: A Multiscale Biometric Identification Approach

Integration of Face and Gait Recognition via Transfer Learning: A Multiscale Biometric Identification Approach

By Dindar Mikaeel Ahmed | TShttps://doi.org/10.1016/j.ceramint.2023.08.165The ubiquity of biometric identification systems and their applications is evident in today's world. Among various biome…

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Comparative performance of DG mixes and SMA mixes with waste crumb rubber as aggregate replacement

Comparative performance of DG mixes and SMA mixes with waste crumb rubber as aggregate replacement

By Abdullah Mahmood Rashed | Case Studies in Construction Materialshttps://doi.org/10.1016/j.cscm.2023.e02615This research paper presents a comparative study on the performance of asphalt mixes conta…

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