Search

Your search keyword '"Kavitha, D."' showing total 618 results
Start Over Author "Kavitha, D."
618 results on '"Kavitha, D."'

16. Hybrid-Multi-channel Deep Neural Network for Fake News Detection

Author

Haritha, D., Kavitha, D., Sumanth, M. V., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Woungang, Isaac, editor, Dhurandher, Sanjay Kumar, editor, and Singh, Yumnam Jayanta, editor

Published
2024
Full Text
View/download PDF

26. Improving Problem-Solving Skills through Technology Assisted Collaborative Learning in a First Year Engineering Mathematics Course

Author

Anitha, D. and Kavitha, D.

Abstract

Purpose: The purpose of this research study is to explore simple collaborative technique for teaching mathematics and thus improving the problem solving skills of the students. Better pedagogic activities are required to motivate the students to perceive mathematics as a subject that stimulates problem-solving skills required for engineers. Design/Methodology/Approach: This paper presents a research study on the application of technology-supported collaborative learning in improving the problem-solving skills of first-year engineering students in a mathematics course. The experiment was conducted in a mathematics course "Engineering Calculus" with 286 first-year engineering students in two groups: experimental group (N = 60) and controlled group (N = 226). The academic performance of the students was measured and analyzed with statistical techniques. Findings: From the results obtained, it was found that the academic performance of the experimental group was better than the controlled group. Also, interest shown by the students in the topic that dealt with collaborative learning was more than in other topics taught using conventional teaching methods. Research Limitations/Implications: The teachers are required to find effective pedagogical activities to improve the problem-solving skills in mathematics. The research work proposes a collaborative method in mathematics for attaining higher cognitive level in an entry level engineering course. The limitation of this study lies in group formation techniques and the grading policy which deals only with individual assessment scores. Practical Implications: Practice of collaborative learning is made easy with simple technology. A clear strategy for the conduct of collaborative learning sessions has been presented. The solutions recommended are practically feasible and does not require any special infrastructure or specific training. Social Implications: Using technology in mathematics teaching may not be very easy for all teachers. Especially, for an undergraduate engineering fresher, mathematics may not be a very easy task. This work shall bridge the gap with simple technology-assisted collaborative learning. The teachers need not spend too much time and effort in learning technology for mathematics teaching. The effect of this learning is significant in terms of the performance and satisfaction evaluation. Originality/Value: This work presents a systematic implementation of collaborative learning that shall result in improved problem-solving skills and engaging learning sessions. The statistical analysis methods and the visualization of obtained results shall help in understanding the implications of the presented work. Practice of collaborative learning is made easy with simple technology. The solutions recommended are practically feasible and does not require any special infrastructure or specific training.

Published
2023
Full Text
View/download PDF

30. Developing a Talent Identification Model for Predicting Player Position in Football Using Machine Learning Algorithms

Author

Sujatha, R., Maheswari, B. Uma, Kavitha, D., Kandaswamy, Kiran, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Chakraborty, Basabi, editor, Biswas, Arindam, editor, and Chakrabarti, Amlan, editor

Published
2023
Full Text
View/download PDF

31. BR-BPNN Model for Fault Detection in Power Transmission System Including PMUs

Author

Celcia, R. Angelin, Kavitha, D., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Swaroop, Abhishek, editor, Kansal, Vineet, editor, Fortino, Giancarlo, editor, and Hassanien, Aboul Ella, editor

Published
2023
Full Text
View/download PDF

32. Differential Evolution Algorithm-Based Optimization of Networked Microgrids

Author

Kavitha, D., Ulagammai, M., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Rathore, Vijay Singh, editor, Piuri, Vincenzo, editor, Babo, Rosalina, editor, and Ferreira, Marta Campos, editor

Published
2023
Full Text
View/download PDF

33. Emotion Recognition in Tweets Using Optimized SVM and KNN Classifiers

Author

Kavitha, D. N. S. B., Prasad Reddy, P. V. G. D., Venkata Rao, K., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Chakravarthy, V.V.S.S.S., editor, Bhateja, Vikrant, editor, Flores Fuentes, Wendy, editor, Anguera, Jaume, editor, and Vasavi, K. Padma, editor

Published
2023
Full Text
View/download PDF

37. Application of Machine Learning Algorithms for Creating a Wilful Defaulter Prediction Model

Author

Uma Maheswari, B., Chandran, Hari Shankar, Sujatha, R., Kavitha, D., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bhateja, Vikrant, editor, Sunitha, K. V. N., editor, Chen, Yen-Wei, editor, and Zhang, Yu-Dong, editor

Published
2023
Full Text
View/download PDF

39. Influence of heat absorber materials sand, soil and paraffin wax in solar still on sustainable water distillation

Author

Abhimanyu Rajiv Krishnan and Kavitha D

Subjects
Renewable energy, Solar energy, Heat absorber materials, Pure water productivity, Solar still efficiency, Payback period, Environmental engineering, TA170-171, Chemical engineering, TP155-156
Abstract

Solar still water distillation process efficiently utilizes solar energy to improve the water quality and provide solution for drinking water crisis in areas facing shortage of pure water. In this work, a conventional solar still was compared to a solar still with heat absorber materials. Heat absorber materials soil, sand and paraffin wax were taken together in pre-specified quantities to check the increment in heat storage capacity of the solar still. Solar still modelling and thermal analysis were done using CATIA and ANSYS software respectively. Soil, sand and paraffin wax taken together as heat absorber materials provided significant increase in the solar still efficiency when compared to the conventional solar still. This study provides insights into improving the efficiency of solar stills using heat absorber materials, which can be beneficial for providing access to clean and safe drinking water in areas facing water scarcity.

Published
2023
Full Text
View/download PDF

42. Learner Retention in MOOC Environment: Analyzing the Role of Motivation, Self-Efficacy and Perceived Effectiveness

Author

Sujatha, R. and Kavitha, D.

Abstract

Massive Open Online Course (MOOC), an unconventional method of learning has paved way for educational opportunities for learners of all age groups at any time. However, evidence suggests that MOOC has posed many challenges such as low completion rates, low motivation of learners and low perceived value compared to traditional methods. In MOOC, learners are expected to display a self-regulating behaviour and hence motivation of the learner is imperative to successful completion of the course. This study analyzed the role of motivation, perceived effectiveness and self-efficacy in enhancing learner retention. The research was carried out with a sample of 375 participants who had enrolled in a MOOC program of their choice within the past two years. A structured instrument was used to elicit the responses. The data was analyzed using Binomial logistic regression. The resulting model accounted for a 49.8% of variance in learner retention according to the Cox & Snell's R[superscript 2] value and 70.2% variance according to Nagelkerke R[superscript 2] value indicating that motivation, perceived effectiveness and self-efficacy are significant predictors for learner retention. This study provides insights to developers/instructors to understand learner intent and design interventions to make learning more personalized that will increase the retention rate.

Published
2018

44. Metamaterial-Based Biomedical Antenna for Low SAR Applications

Author

Kumar, G. V. Naveen, Kavitha, D. K., Babu, P. Kiran, Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Geetha, K., editor, Gonzalez-Longatt, Francisco M., editor, and Wee, Hui-Ming, editor

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results