Volume 10 | Issue 9 |

 Abstract

Corona Virus Disease-2019 (COVID-19), which was caused by the severe acute respiratory syndrome-Corona Virus-2 (SARSCoV-2), is a very contagious illness that has killed millions of people all over the world. Imaging methods like computed tomography (CT) and chest x-rays (CXR) are often used to make a quick and accurate COVID-19 diagnosis. Because COVID-19 is a pandemic that is spreading quickly, it must be found quickly in order to stop the virus from spreading. Pictures of the lungs can be used to tell if someone has a corona virus infection. COVID-19 can be found with the help of images from computed tomography (CT) and chest X-rays (CXR). Deep Learning (DL) techniques, and more specifically Convolutional Neural Networks (CNN), have become one of the most popular ways for artificial intelligence (AI) to classify COVID-19. In this work, some of the most important research papers on DL-based categorization of COVID19 using CXR and CT images are looked at, and a summary of those studies is given here. We also give an overview of the latest developments in the field and a critical analysis of the problems that still need to be solved. So that we can come to a conclusion about this work, we will list some possible directions for future research in the COVID-19 imaging classification. The COVID-19 pandemic has quickly spread to all parts of the world. The virus is spreading quickly, which is a danger that makes it harder to stop the disease from spreading. Because of the pandemic, a lot of medical facilities had to switch from giving care in person to doing it over the phone or computer. This is called telemedicine. In order to prevent COVID-19, the goal of this study is to do a literature review on telemedicine applications that use machine learning. Between 2015 and 2022, all of the research that was published in six different electronic databases was looked at in depth. The data that was found during this quick evaluation suggests that machine learning and telemedicine might be able to help stop epidemics by allowing for smart triage of patients and monitoring of their conditions from a distance. There could also be more research and development done on how telemedicine could be used in case of future epidemics.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Covid 19,computed tomography (CT),chest X-rays (CXR). Deep Learning (DL),Convolutional Neural Networks (CNN)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The standards and techniques originated in substantial administration are practically identical and simple with the information the board. This paper focuses on the change of item stock administration standards into information stock administration standards. Endeavors were made to count different affecting boundaries that would be fitting to ponder assuming any information stock archetypal could be contrived. The stock prototypical boundaries are painstakingly customized to fit in to the information the board worldview to match different disseminated stockpiling engineering frameworks. The essential capacity of capacity the executives is to utilize the capacity assets effectively in order to yield the most extreme presentation. Despite the fact that the capacity medium is less expensive in total that doesn't imply that expansion or updating of the bulk limit unaccompanied can tackle the issue of putting away truly developing nature of information particularly in the entomb organized information driven submissions. In such cases it is important to opt a most appropriate stockpiling strategy to draw out a huge perfection in the information recovery execution. This manuscript accentuates on the requirement for determining nonexclusive standards for information stock regulator that incorporates information stock boundaries which will be the platform for propositioning numerical information stock mockups.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data stock administration, Inventory models, Parameters, Storage organizations, Data situation procedures, Data stock model.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Each and every individual who leaves his home for his work in the morning should come back to his home in evening in good health especially in the endemic age of coronavirus. During this stage, Workplace safety is significant for each and every employee in the industry because all the workers desire to work in a safe and protected working environment. Unlike other industry, labour has become a very sensitive area to handle in Garment industry. Skilled and efficient labour is the basic requirement. Some big industries spend huge time and money on training, but unfortunately there is no assurance or binding on the part of trained labour to continue to work in one place. Hence the researcher has to study the employees existing safety and welfare measures and to examine in which part and where we need to made an improvement to enhance the productivity and morale of the employees.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Employees, Garment Industry, workplace, safety measures

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Impact and Survey

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Management, Work, Karma, Success

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Art, Physical education, Aesthetics, Ethics.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Eyestrain, drivers, software engineers, sleep disturbances, sore eyes, eyemask, cooling property, crepe jasmine flower.

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Creative Commons Attribution 4.0 and The Open Definition

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Vehicular Ad hoc Networks (VANETs) are an emerging network type that supports Intelligent Transportation Systems (ITS) and establishes structures that allow communication between road entity and enhance the advancement of novel services and applications focused on improving driving experience and rising road safety. Demanding features make it problematic to apply security systems, causing vulnerability simply discovered by aggressors. Such complexities are solved by utilizing deep-learning and machine-learning method. This paper presents an Optimal Siamese Neural Network-based IDS (OSNN-IDS) model for VANET. The major goal of this model is the recognition and classification of intrusions into distinct classes. To accomplish this, the presented model follows three major processes namely pre-processing, classification, and parameter tuning. To demonstrate the better performance of the OSNN-IDS method, an extensive range of simulations were carried out on CIC_IDS_2017 dataset and the comparative study has indicated the better performance of our algorithm compared to other models.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

intrusion detection system, Siamese neural networks, accuracy, vehicular Adhoc networks

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Knowledge, women, utero-vaginal prolapsed, prevention.

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Creative Commons Attribution 4.0 and The Open Definition

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The study in the paper focuses on the material selection for the magazines used in assault rifles. A firearm magazine is a storage device that holds several rounds of ammunition and is attached to the firearm. The size of the magazine varies according to the number of rounds and the bullet size. The study aims to find an alternate material that can survive the harsh weather conditions of areas associated with India's National Security. Respective CAD models have been developed, and Coupled Thermal-Structural Analysis has been performed at 25 C, which is an average temperature and at a temperature of -57 C, which is the lowest temperature that is reached in the border areas. The stresses and displacement plots of the proposed material Nylon 6,6 are compared with the plots of AISI 1020 steel. The paper concludes the superiority of Nylon 6,6 material magazines over sheet metal magazines.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Firearms, Magazine, Nylon 6,6, Coupled Thermal-Structural Analysis, Assault rifle

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Creative Commons Attribution 4.0 and The Open Definition