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Cotton leaf disease detection using mask RCNN 面罩RCNN检测棉花叶病
RECENT TRENDS IN SCIENCE AND ENGINEERING
Pub Date : 1900-01-01 DOI: 10.1063/5.0074814
Tejaswi Pallapothu, Manmeet Singh, Riya Sinha, Harshita Nangia, Prashant Udawant
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引用次数: 4
Covid heuristic analysis using machine learning 使用机器学习的Covid启发式分析
RECENT TRENDS IN SCIENCE AND ENGINEERING
Pub Date : 1900-01-01 DOI: 10.1063/5.0074120
P. Kshirsagar, MAKARAND UPADHYAYA, P. Dadheech, T. Yuvaraj, C. A. S. Moorthy
The newer avid-19 corona virus created havoc for patients with a variety of complications that prompted health practitioners around the world to develop new technologies and treatment plans. Technologies based on Machine Learning (ML) have been a major factor in addressing complex issues and many businesses have been able to develop and adapt to the COVID-19 challenges. The diagnosis of illness can be used with different AI methods to monitor the present havoc. Since Machine Learning (ML) approaches have been commonly used in other domain fields, a great deal of demand is now being made for ML-supported diagnostic systems to screen, monitor, and forecast void-19 spread and find a cure. The article presents an overview of the role of ML to combat the virus so far, especially from the perspective of screening, prognosis, and vaccine. © 2022 Author(s).
新型covid -19冠状病毒给患有各种并发症的患者造成了严重破坏，促使世界各地的卫生从业人员开发新技术和治疗计划。基于机器学习(ML)的技术已经成为解决复杂问题的主要因素，许多企业已经能够开发和适应COVID-19的挑战。疾病诊断可以用不同的人工智能方法来监测当前的浩劫。由于机器学习(ML)方法已广泛用于其他领域，因此现在对ML支持的诊断系统有很大的需求，以筛选、监测和预测虚空-19的传播并找到治疗方法。本文概述了迄今为止ML在对抗病毒中的作用，特别是从筛查、预后和疫苗的角度。©2022作者。
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引用次数: 0
An approach for smart city applications using artificial intelligence 一种使用人工智能的智慧城市应用方法
RECENT TRENDS IN SCIENCE AND ENGINEERING
Pub Date : 1900-01-01 DOI: 10.1063/5.0074166
A. Venkatesh, Vani A., M. Naved, A. Fakih, P. Kshirsagar, P. Vijayakumar
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引用次数: 16
Perceived benefits and challenges of online learning among nursing students during COVID-19 pandemic: A qualitative phenomenological approach COVID-19大流行期间护理专业学生在线学习的感知收益和挑战:一种定性现象学方法
RECENT TRENDS IN SCIENCE AND ENGINEERING
Pub Date : 1900-01-01 DOI: 10.1063/5.0074208
R. George, Jibin Kunjavara, Manoj Kumar L., Vinod V. Bagilkar, S. Menon, Shiny T. Sam
Background: Globally Covid 19 has leased almost all domains of human life in and around;business, education, tourism and so on are not an exception. Medical professionals are group which actively got involved in this disaster management arena. Training of medical and nursing professionals has also got into stake or it got narrowed into online mode of education. Methods: A phenomenological qualitative study was conducted to identify perceived benefits and challenges confronted by nursing students of a selected nursing college in Northern India. Data was collected from thirty nursing students with the help of a validated focus group discussion guide. Five FGD were conducted to collect data until availing data saturation. Data was transcribed, coded and developed themes, sub-themes based on codes keeping participant verbatim in support. Results: The thematic content analysis of Data revealed four core themes 1) academic usefulness, 2) Time effectiveness, 3) Challenges faced, 4) attitude and perception of students and couple of sub themes along with it. Overall impression of the study shows nursing students were less favorable to online mode of learning. Conclusion:This study portrays out all aspects pertaining to online education mode considering ill effects and benefits as perceived by nursing students from their nearly one year of experience. © 2022 Author(s).
背景:在全球范围内，Covid - 19几乎影响了人类生活的所有领域，商业、教育、旅游等也不例外。医疗专业人员是积极参与这一灾害管理领域的群体。医疗和护理专业人员的培训也陷入困境，或者被缩小为在线教育模式。方法:采用现象学定性研究方法，对印度北部一所护理学院的护理学生进行认知获益和面临的挑战。数据收集从30护理学生与有效的焦点小组讨论指南的帮助下。进行了5次FGD收集数据，直到数据饱和。对数据进行转录、编码并根据参与者逐字支持的代码编制主题、分主题。结果:数据的主题内容分析揭示了四个核心主题:1)学术有用性，2)时间有效性，3)面临的挑战，4)学生的态度和感知，以及与之相关的几个子主题。总体印象的研究表明，护理学生不太赞成在线学习模式。结论:本研究从护理学生近一年的经验出发，考虑到在线教育模式的利弊，描绘了在线教育模式的各个方面。©2022作者。
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引用次数: 0
Preventing collaborative attacks against on demand routing using recommendation based trust framework in MANET 在MANET中使用基于推荐的信任框架防止针对随需应变路由的协同攻击
RECENT TRENDS IN SCIENCE AND ENGINEERING
Pub Date : 1900-01-01 DOI: 10.1063/5.0079725
S. Sowmya, K. Kannan, S. Anbu, P. Veeralakshmi, R. K. Kapilavani
{"title":"Preventing collaborative attacks against on demand routing using recommendation based trust framework in MANET","authors":"S. Sowmya, K. Kannan, S. Anbu, P. Veeralakshmi, R. K. Kapilavani","doi":"10.1063/5.0079725","DOIUrl":"https://doi.org/10.1063/5.0079725","url":null,"abstract":"","PeriodicalId":443051,"journal":{"name":"RECENT TRENDS IN SCIENCE AND ENGINEERING","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126067887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Nonlinear analysis of Howland current source using describing function and simulation 用描述函数和仿真对Howland电流源进行非线性分析
RECENT TRENDS IN SCIENCE AND ENGINEERING
Pub Date : 1900-01-01 DOI: 10.1063/5.0074168
Soumyendu Bhattacharjee, Aishwarya Banerjee, Soumilk Basu, Indranath Sarkar, B. Neogi
{"title":"Nonlinear analysis of Howland current source using describing function and simulation","authors":"Soumyendu Bhattacharjee, Aishwarya Banerjee, Soumilk Basu, Indranath Sarkar, B. Neogi","doi":"10.1063/5.0074168","DOIUrl":"https://doi.org/10.1063/5.0074168","url":null,"abstract":"","PeriodicalId":443051,"journal":{"name":"RECENT TRENDS IN SCIENCE AND ENGINEERING","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126969920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep discover: Deep learning models for detecting distributed denial of service (DDOS) attacks 深度发现:用于检测分布式拒绝服务(DDOS)攻击的深度学习模型
RECENT TRENDS IN SCIENCE AND ENGINEERING
Pub Date : 1900-01-01 DOI: 10.1063/5.0074445
S. Malliga, S. V. Kogilavani, R. Sowmya
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引用次数: 2
Performance and emission comparison of Jamun ethyl ester and pyrolytic oil using in a CI engine 加门乙酯与热分解油在内燃机中的性能及排放比较
RECENT TRENDS IN SCIENCE AND ENGINEERING
Pub Date : 1900-01-01 DOI: 10.1063/5.0074924
G. Ramalingam, V. Janakiraman, P. Vijayaraghavan, T. Banu, T. Vijayaraj
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引用次数: 0
Current status of research on farmer producer organizations: A systematic review based on Scopus database 农民生产者组织研究现状:基于Scopus数据库的系统回顾
RECENT TRENDS IN SCIENCE AND ENGINEERING
Pub Date : 1900-01-01 DOI: 10.1063/5.0074872
P. Velmurugan, D. Gagana
{"title":"Current status of research on farmer producer organizations: A systematic review based on Scopus database","authors":"P. Velmurugan, D. Gagana","doi":"10.1063/5.0074872","DOIUrl":"https://doi.org/10.1063/5.0074872","url":null,"abstract":"","PeriodicalId":443051,"journal":{"name":"RECENT TRENDS IN SCIENCE AND ENGINEERING","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132239626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An empirical study on influential factor of investors’ investment towards futures and options trading in India 印度投资者投资期货期权交易影响因素的实证研究
RECENT TRENDS IN SCIENCE AND ENGINEERING
Pub Date : 1900-01-01 DOI: 10.1063/5.0075127
S. Umamaheswari, Abijhit Anand, N. Nithya
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引用次数: 0
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