24 research outputs found
Analysis of Age Sage Classification for Students’ Social Engagement Using REPTree and Random Forest
No full textInternational audienceStudy and analysis of train dataset along with various ML algorithms is used widely in different sectors. The accuracy parameters can be clarified to have prediction of different score levels. This study covers the extension work of Students’ social engagement during covid-19 pandemic. The study was initiated with students’ social connection during the pandemic. We had compared various machine learning algorithms with its performance about the engagement of students in various social network. After studied, analyzed & compared, we derived that the most of students’ social engagement found in WhatsApp, YouTube & Instagram. The current study is foreseeing age wise social media connection. It correlates between student & their social engagement during the pandemic phase. In which age group, which social media is one of the most popular one. This study focuses on age wise classification using Machine Learning. In this paper, the decision-making classification is compared. The Reduced Error Pruning Tree (REPTree) and Random Forest algorithm is implemented on train dataset with diverse nodes. The attributes are focused as age & time spent on social media as per necessity of study. This paper includes the study and analysis of RAE & RMSE along with ML tree approach. The discoveries of this study can lead better classification in regards of students’ age and duration which they have spent on social media for derived social platform
Performance Comparison of Machine Learning Algorithms for Prediction of Students’ Social Engagement
No full textA Study on Developing Effective Option Trading Strategy On Nifty Index in National Stock Exchange using Data Mining
No full textRole of IOT in healthcare: Applications, security & privacy concerns
No full textEmploying the Internet of Things (IoT) in healthcare provides many advantages for patient monitoring and analysis of the patient's health with the help of generated data. The basic role of IoT in healthcare is to ease the patient's life by giving them a monitor over their medical condition. The use of IoT in medical devices requires a focus on the end-user. Medical devices such as glucose meters are designed to record the data of the patient and their vital signs. The generated information can be used to enhance decision-making for the physician. The collected information about the patient can be at risk due to certain security issues during the transferring of information can compromise the identity and social life of the patient. This review explores the IoT regarding its structural requirement and its role in various fields with special emphasis on healthcare. The security and privacy issues than can hinder the utilization of IoT at its potential and ways to overcome these issues are being addressed
Financial statement and Financial Analysis - An overview
No full textFinancial Information is the basis for financial planning, analysis and decision-making. It is also useful to different users who are either directly or indirectly interested in firm. Owners of firm, managers, creditors, investors, employees and tax authorities are direct users, whereas, financial analyst, researchers and trade organization are indirect users. A firm communicates financial information to these users through financial statements and report. Financial statements contain summarized information of the firm’s financial affairs organized systematically. Therefore in the present descriptive paper, the author has tried to present theoretical concepts of financial statement, financial analysis and relationship between financial analysis
Jatropha curcas biodiesel production in Kenya: economics and potential value chain development for smallholder farmers.
No full textHousing conditions differentially affect physiological and behavioural stress responses of zebrafish, as well as the response to anxiolytics
No full textPMCID: PMC3324417This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
HETEROSIS AND COMBINING ABILITY STUDIES IN INDIAN MUSTARD (BRASSICA JUNCEA L.)
No full text*Author for Correspondence A study was made to estimate combining ability, heterosis over mid parents (MP) and better parent (BP) with ten diverse parents and their 45 F1 s in half diallel mating design in Indian mustard for nine quantitative and quality traits were made to derive the information on the extent of heterosis over economic parent and relative magnitude of general and specific combining ability effects. On the basis of mean values, the hybrid RK 9501 x GM 2 and the parent RK 9501 were having most outstanding performance for seed yield per plant. A considerable degree of desirable and significant heterosis over mid parent (MP) and better parent (BP) was noted for crosses GM 1 x GM 3 and GM 3 x SKM 139 respectively for seed yield per plant. Significant differences were observed for both general combining ability (gca) and specific combining ability (sca) for almost all the traits studied. The high magnitude of gca and sca effects indicated the presence of both additive and non-additive gene interactions for the inheritance of different traits. Parents RK 9501,GM 1,GM 2,GM 3 and SKM 139 were observed to be good general combiners for seed yield and they also showed good general combining ability for most of the other characters, as well as on the basis of sca effects out of 45 crosses six crosses were found better for seed yield per plant viz; GM 3 x SKM 139
