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1.
Multimed Tools Appl ; 81(26): 37351-37377, 2022.
Article in English | MEDLINE | ID: covidwho-1935849

ABSTRACT

The year 2020 and 2021 was the witness of Covid 19 and it was the leading cause of death throughout the world during this time period. It has an impact on a large geographic area, particularly in countries with a large population. Due to the fact that this novel coronavirus has been detected in all countries around the world, the World Health Organization (WHO) has declared Covid-19 to be a pandemic. This novel coronavirus spread quickly from person to person through the saliva droplets and direct or indirect contact with an infected person. The tests carried out to detect the Covid-19 are time-consuming and the primary cause of rapid growth in Covid19 cases. Early detection of Covid patient can play a significant role in controlling the Covid chain by isolation the patient and proper treatment at the right time. Recent research on Covid-19 claim that Chest CT and X-ray images can be used as the preliminary screening for Covid-19 detection. This paper suggested an Artificial Intelligence (AI) based approach for detecting Covid-19 by using X-ray and CT scan images. Due to the availability of the small Covid dataset, we are using a pre-trained model. In this paper, four pre-trained models named VGGNet-19, ResNet50, InceptionResNetV2 and MobileNet are trained to classify the X-ray images into the Covid and Normal classes. A model is tuned in such a way that a smaller percentage of Covid cases will be classified as Normal cases by employing normalization and regularization techniques. The updated binary cross entropy loss (BCEL) function imposes a large penalty for classifying any Covid class to Normal class. The experimental results reveal that the proposed InceptionResNetV2 model outperforms the other pre-trained model with training, validation and test accuracy of 99.2%, 98% and 97% respectively.

2.
Parikalpana: K I I T Journal of Management ; 17(1):200-205, 2021.
Article in English | ProQuest Central | ID: covidwho-1319947

ABSTRACT

Under current economical water transport, Indian government liberalized flexible policies for boosting exports, encountering dragonmodel, encouragement to individual women entrepreneurs belongs to unorganized sector through ease of doing business with close coordination of respective State Government as a ray of hope of generating more employment after Post Covid-19 pandemic counter measures in central India region 1.1NEED FOR IMPLEMENTING EASE OF DOING BUSINESS In order to revive Indian Economy & boost Indian Exports, Post Covid-19, by exploring & honing the skills of unorganized sectors from vocal to global emergence through e-Markets. Recently Chief Minister Shivraj Singh Chauhan called in Rewa , Madhya Pradesh, the second largest state in India ,does not having lacking of skills or talent under self-reliant M.P., by forwarding rural authentic crafts , toys after conducting field survey of traditional toy manufacturing units .Realizing the potential for new segment for traditional zardozi work in Bhopal, skilled unorganized women youth sparsely distributed n the state along with consultancy support from IIM Indore & MPAVNfor a period of 3 years along with other high potential engineering clusters, Health care .Heavy Engineering , food processing, water treatment plants etc. leads to innovative start up for unemployed youth from 224 Engineering Colleges, 114 Polytechnic, 415 ITI'S , 135 Skill Development centers (SDC) along with Vocational Development centers make perfect place for startup hubs like Detroit in USA. [...]in order to encounter Chinese toy competition Indian government succeeded in creating congenial atmosphere for preserving art, culture of skilled Wo(man) unorganized crafts Wo(man) ecosystem EXIM Policy 2020-2025 to nurture & promote start up culture within the Madhya Pradesh state. 1.2OBJECTIVE OF COMPLIANCE OF EASE OF DOING BUSINESS * To strengthen the unorganized women startup culture by providing E-markets with close coordination from FIEO, World Bank, IMF Etc. * To nurture unemployed technical high educate youths by motivating them through innovates ideas and * EOI under public private partnership mode. 1.4STARTUP-HAND HOLDING WITH RESPECTIVE DEMOGRAPHIC STATE GOVERNMENT (a) The eligible start up should not have received more than 10 Lakhs of monetary support under central or start Government Scheme. (b) The eligible share holding Indian promoters in the startup should be minimum 51% at the time of application submission for the incubator under the scheme. (c) The incubator must also have a full time Chief Executive Officer (CEO) 1.5 NODAL AGENCIES For all registered MSME'Sfalls under the respective state, concerned District Industries Centre (DIC) act as nodal agency to promote organizational ecosystem along with registered unorganized women crafted entrepreneurs. 2.0 VISION FOR EASE OF DOING BUSINESS * To establish, India as preferred destination for FDI& FII by providing an conducive ecosystem * To support MSME'S Entrepreneurial culture in the South Asia Pacific Region Mission * To align all Indian states with the 'Self-Reliant India, Flagship Initiative of the Government of India * To develop a sustainable ecosystem of innovation, Research & Development, Manufacturing in the Central India region. * To eradicate and minimizing corruption for granting permission through single window Scheme within 30 days for new start up. 3.0 (A) STRATEGIES FOR INNOVATIVE INCUBATION NETWORK * The Individual state Government would foster on constructing Incubation centers with in Engineering Colleges, Management Institutes & Professional Colleges fall across selected state to provide innovative ideas along with plug and innovative road map facilities to young entrepreneurs, budding students. * These incubation centers transform into innovative network to build a collaborative platform among Host institutes/Incubators which can be used to learn the best practices in order to understand the requirements of startup's/ entrepreneurs. * The Network shall also provide a platform to identify National /International mentors from institutes or corporate industries. * The incubation network shall play a play a vital role in providing handholding to startup's in funding support assistance in legal compliance & regulatory support from respective state Government. 3.0 (B) VENTURE CAPITALIST NETWORK / CALIPHS INVESTORS * The identification & selection of an caliphs investors /Venture capitalist plays a crucial role in the journey of any new start up. * It bridges the gap between start up and their initial stage required capital support . * It helps in building sustainable eco-system within demographic region. 3.1POLICIES FOR EASE OF DOING BUSINESS (AVAILABILITY OF INCUBATION FACILITY) * Ease in approvals & Registrations-A single window clearance. * Single window service should be establish in order to give clearance to recognized 41,061 start up's as on December2020, along with flexible labor laws & reforms like E-land records, in a demographic region. 3.2 INCENTIVES TO START UP'S & EXISTING ENTREPRENEURS According to MSME Act 2020, for availing incentives the incubators fall under state demographic region ,eligible to register under MSMEUAN ,irrespective of rural, urban, semi urban landscape etc. 3.2.1 INTEREST SUBSIDY Eligible new start up's shall be provided with extended tax holiday for a period of 3 years on the rate of interest paid on loans obtained from Nationalized banks /financial institutions subjected to the maximum limit of INR 25 lakhs per year linked to turn over per year . 3.2.2 LEASE RENTAL SUBSIDY Reimbursement of 25% lease rental subsidy to start up's units established in the state operating from incubators shall be eligible for a period of 3 years subject to a ceiling of 5 lakhs per year from the date of rent payment to incubator. 3.2.3 PATENT/QUALITY PROMOTION SUBSIDY Reimbursement for patent & quality certification per unit up to a limit of INR 5 lakhs for Domestic and INR 25 lakhs for International Quality Certification after securing Certification from country's Certification Boards. 3.2.4START UP MARKETING ASSISTANCE Under membership of Engineering and Exports Promotion council (EEPC), Federation of exports organization (FI O), eligible start up's for participation in national & International Trade fairs &conferences anywhere in the globe. 4.0 EASE OF DOING POLICY APPLICABILITY The state incubation & start up policy shall be applicable to mentioned below thrust areas as per 2021-2022 new policies. * E-Commerce Marketing, Digital Marketing * Textile, Space Technology, Information Technology & Other Allied Areas * Healthcare, Pharmaceuticals

3.
Energy Sources Part A: Recovery, Utilization & Environmental Effects ; : 1-19, 2021.
Article in English | Academic Search Complete | ID: covidwho-1281820

ABSTRACT

The studies claim that COVID-19 has positive impacts on the environment because it minimizes air pollution, water pollution, and noise pollution due to lockdown. On the contrary, COVID-19 is harming the environment due to increased medical wastage. COVID-19 has been declared a pandemic by the World Health Organization (WHO). Due to the exponential growth of COVID-19 cases people using large quantities of medical accessories to shield themselves from coronavirus, a large amount of medical wastage is produced per day. This medical wastage is a major concern for the expert because this medical waste is not adequately handled. The early detection of the COVID patient is the only solution to control this coronavirus. Several COVID detection models have been proposed in the last few months. Most of the existing models have a high false-positive rate where COVID patients are classified as healthy. To address this problem, this paper explores the positive and negative environmental consequences of COVID-19 and suggests a novel method based on artificial intelligence (AI) to identify COVID-19 disease. A comparative analysis of different previously trained models such as Visual Geometry Group Network (VGGNet-19), Residual Network (ResNet50), and Inception ResNet V2 is presented in this paper. Experimental results show that Inception_ResNet_V2 is a better choice for COVID detection. It has a minimal false-positive rate and offers 99.26% and 94% higher training and test accuracy compared to VGGNet and ResNet, respectively. [ABSTRACT FROM AUTHOR] Copyright of Energy Sources Part A: Recovery, Utilization & Environmental Effects is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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