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Your search keyword '"Latchoumi, T. P."' showing total 46 results
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46 results on '"Latchoumi, T. P."'

10. A Quantitative Study of Small Dataset Machining by Agglomerative Hierarchical Cluster and K-Medoid

Author

Garikapati, Pruthvi Raju, Balamurugan, K., Latchoumi, T. P., Shankar, G., 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, 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, Marriwala, N., editor, Tripathi, C. C., editor, Jain, Shruti, editor, and Mathapathi, Shivakumar, editor

Published
2022
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11. Semantics-Driven Safety Measures in Distributed Big Data Systems on IoT

Author

Vanga, Manoj Sahit Reddy, Vijayaraj, J., Kolluru, Pavankumar, Latchoumi, T. P., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Gandhi, Tapan Kumar, editor, Konar, Debanjan, editor, Sen, Biswaraj, editor, and Sharma, Kalpana, editor

Published
2022
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13. A Secure Data Sharing Using IDSS CP-ABE in Cloud Storage

Author

Ezhilarasi, T. P., Sudheer Kumar, N., Latchoumi, T. P., Balayesu, N., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Arockiarajan, A., editor, Duraiselvam, M., editor, and Raju, Ramesh, editor

Published
2021
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15. UIP—A Smart Web Application to Manage Network Environments

Author

Ezhilarasi, T. P., Dilip, G., Latchoumi, T. P., Balamurugan, K., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Raju, K. Srujan, editor, Govardhan, A., editor, Rani, B. Padmaja, editor, Sridevi, R., editor, and Murty, M. Ramakrishna, editor

Published
2020
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20. An Efficient Cache Refreshing Policy to Improve QoS in MANET Through RAMP

Author

Vijay Vasanth, A., Venkatachalapathy, K., Latchoumi, T. P., Parthiban, Latha, Sowmia, T., OhmPrakash, V., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bhateja, Vikrant, editor, Tavares, João Manuel R.S., editor, Rani, B. Padmaja, editor, Prasad, V. Kamakshi, editor, and Raju, K. Srujan, editor

Published
2018
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24. TOWARDS THE DEVELOPMENT OF OBSTACLE DETECTION IN RAILWAY TRACKS USING THERMAL IMAGING.

Author

Vivek, V., Hemalatha, J., Latchoumi, T. P., and Mohan, S.

Subjects
CONVOLUTIONAL neural networks, THERMOGRAPHY, THERMAL imaging cameras, SPECTRUM analysis, MACHINE learning, RAILROAD trains
Abstract

To prevent collisions between trains and objects on the railway line, rugged trains require an intelligent rail protection system. To improve railway safety and reduce the number of accidents, studies are underway. Machine learning (ML) had progressed rapidly, creating new perspectives on the subject. A technique called speed up robust features (SURF) is proposed by researchers to collect regionally and globally relevant information. In addition, taking advantage of the Ohio State University (OSU) heat walker benchmarking dataset, the effectiveness of this technique was examined under various lighting scenarios. This technology could help in reducing train accident rates and financial costs. The findings of the proposed methodology are very specific, in addition to the ability to quickly identify items (obstacles) on the railway line, both of which contribute to rail security. The proposed faster region based convolutional neural network (FR-CNN) with 2D singular spectrum analysis (SSA) improves the performance analysis of an accuracy of 90.2%, recall 95.6% and precision 94.6% when compared with an existing system YOLOv2 and YOLOv5 with 2D SSA. [ABSTRACT FROM AUTHOR]

Published
2023
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46. Role of gender on academic performance based on different parameters: Data from secondary school education.

Author

Ranjeeth S, Latchoumi TP, and Paul PV

Abstract

This data article represents academic performances and personal habits of higher secondary school students in select high school education institutions located at Guntur, Andhra Pradesh, India for the academic year of 2017-18. The dataset of 1116 records, each with 9 parameters and the parameters are mother and father education, the impact of advisor, time spent on study after school, time spent on sports, time spent with mobile per day, the impact of health problems, goal, time spent on yoga or physical exercise. We present descriptive statistics showing mean, median, mode, maximum, minimum, range, standard deviation and variance in the performances of these students and a bar chart representation of the total number of female and male students' Grade Point Average (GPA) with 9 parameters individually. The primary aim of this clause is providing a comparative analysis of female and male students in GPA scoring based on 9 parameters., (© 2020 The Author(s).)

Published
2020
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