During the most recent 6-0 igora vibrance excavations at the Catacombs of St.Lucy at Siracusa, carried out between 2013 and 2015, an array of 3D technologies were employed to record excavation data and provide new interpretative models for the site.The research focused on some very problematic parts of the Region C of the complex.Thisarea most effe
Investigating physician self-referral in public hospitals in South East Nigeria: Insights from stakeholders
Background: Physician self-referral occurs where a full-time paid doctor diverts patients from one hospital to another in which he or she has financial interest.Aim: This study is aimed at investigating the views of service users, physicians and policymakers on physician self-referral practice in public hospitals in Nigeria.Setting: The study was c
Methodological Approach for Identifying Websites with Infringing Content via Text Transformers and Dense Neural Networks
The rapid evolution of the Internet of Everything (IoE) has significantly enhanced global connectivity and multimedia content sharing, simultaneously escalating the unauthorized distribution of multimedia content, posing risks to intellectual property rights.In 2022 alone, about 130 billion accesses to potentially non-compliant websites were record
Pest Detection and Classification in Peanut Crops Using CNN, MFO, and EViTA Algorithms
The growth of vision transformer (ViT) methods have been quite enormous since its features provide efficient outcome in image classification, and identification.Inspired of this beneficial, this paper propose an Enhanced vision transformer architecture (EViTA) model for pest identification, segmentation, and classification.The as of late found that