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 strain capacity via external confinement. Hence, various stud…

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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 in the context of AVs. Therefore, there is a need for ongoi…

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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 interaction, communication, and behavior. Typically, evident befor…

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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 can predict the clinical phenotype, the likelihood of devel…

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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 performance, accessing the medium, and enabling efficient data disse…

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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 due to the high computational complexity of these algorithm…

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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 revolution from the standpoint of industries' objectives.…

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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 containing waste crumb rubber as an aggregate replacement. Two di…

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Bitcoin Price Prediction using the Hybrid Convolutional Recurrent Model Architecture

By Omar Mohammed Ahmed | Engineering, Technology & Applied Science Research (ETASR)https://doi.org/10.48084/etasr.6223 The field of finance makes extensive use of real-time prediction of stock price tools, which are instruments that are put to use in the …

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Automatic Facial Aesthetic Prediction Based on Deep Learning with Loss Ensembles

By Jwan Najeeb Saeed | Applied Scienceshttps://doi.org/10.3390/app13179728Deep data-driven methodologies have significantly enhanced the automatic facial beauty prediction (FBP), particularly convolutional neural networks (CNNs). However, despite its wide uti…

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