The severe acute respiratory syndrome coronavirus 2, called a SARS-CoV-2 virus, emerged from China at the end of 2019, has caused a disease named COVID-19, which has now evolved as a pandemic. Amongst the detected Covid-19 cases, several cases are also found asymptomatic. The presently available Reverse Transcription – Polymerase Chain Reaction (RT-PCR) system for detecting COVID-19 lacks due to limited availability of test kits and relatively low positive symptoms in the early stages of the disease, urging the need for alternative solutions.
The tool based on Artificial Intelligence might help the world to develop an additional COVID-19 disease mitigation policy. In this paper, an automated Covid-19 detection system has been proposed, which uses indications from Computer Tomography (CT) images to train the new powered deep learning model- U-Net architecture.
The performance of the proposed system has been evaluated using 1000 Chest CT images. The images were obtained from three different sources – Two different GitHub repository sources and the Italian Society of Medical and Interventional Radiology's excellent collection. Out of 1000 images, 552 images were of normal persons, and 448 images were obtained from COVID-19 affected people. The proposed algorithm has achieved a sensitivity and specificity of 94.86% and 93.47% respectively, with an overall accuracy of 94.10%.
The U-Net architecture used for Chest CT image analysis has been found effective. The proposed method can be used for primary screening of COVID-19 affected persons as an additional tool available to clinicians.
<p class="Default">Ad hoc networks are mobile wireless networks where each node is acting as a router. The existing routing protocols such as Destination sequences distance vector, Optimized list state routing protocols, Ad hoc on demand routing protocol, Ad hoc on demand multipath routing protocol, Dynamic source routing are optimized versions of distance vector or link state routing protocols. In this paper, existing protocols such as DSDV, AODV, AOMDV, OLSR and DSR are analyzed on 50 nodes Mobile Ad Hoc network with random mobility. Packet delivery ratio, delay, control overhead and throughput parameters are used for performance analysis.</p>
COVID-19 is a brand new contagious sickness caused by a brand new coronavirus referred to as intense acute breathing syndrome coronavirus 2 (SARS-CoV-2). COVID-19 is a disease that has reached each continent inside the global; it has overloaded the medical system international and it has been declared a plague by using the arena health agency. presently there are not any set up or tested treatments for COVID-19, that is permitted worldwide. Nanoparticles are described as stable colloidal particles ranging in size from 10 to 1000 nm. Nanoparticles provide many advantages to larger particles including multiplied surface-to-volume ratio and improved magnetic properties. Over the last few years, there was a regularly developing interest in the usage of nanoparticles in distinct biomedical packages inclusive of focused drug transport, hyperthermia, photoablation therapy, bioimaging and biosensors. in this review we've got hypothesize the class and synthesis of nanoparticles with diverse remedies along with photobiomodulation, drug shipping gadget, electrochemical nanotechnology biosensors, hydrothermotherapy and photocatalytic pastime which can be used for remedy and prevention of COVID-19 to lower the severity of moderate and slight instances of Coronavirus. We address current in addition to emerging therapies and prophylactic techniques that may allow us to efficaciously fight this pandemic and additionally can also assist to discover the key areas where nano-scientists can step in.
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