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126 results on '"Praveena, V."'

7. Evaluation of Sound Propagation, Absorption, and Transmission Loss of an Acoustic Channel Model in Shallow Water

Author

Venkateswara Rao, Ch., Swathi, S., Charan, P. S. R., Santhosh Kumar, Ch. V. V., Pathi, A. M. V., Praveena, 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, Kumar, Sandeep, editor, Sharma, Harish, editor, Balachandran, K., editor, Kim, Joong Hoon, editor, and Bansal, Jagdish Chand, editor

Published
2023
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8. Performance Evaluation of Multiwavelet Transform for Single Image Dehazing

Author

Sankar, M. Ravi, Srinivas, P., Praveena, V., Bhavani, D., Suseela, M. Sri Uma, Srinivas, Y., Rao, Ch. Venkateswara, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Gupta, Nishu, editor, Pareek, Prakash, editor, and Reis, M.J.C.S., editor

Published
2023
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9. Comparison of Acoustic Channel Characteristics in Shallow and Deep-Sea Water

Author

Venkateswara Rao, Ch., Sankar, M. Ravi, Prasad, T. Nalini, Devi, R., Suseela, M. Sri Uma, Praveena, V., Srinivas, Y., Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Gupta, Nishu, editor, Pareek, Prakash, editor, and Reis, M.J.C.S., editor

Published
2023
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13. Identification of Accident Hotspots Using Clustering Algorithms in Machine Learning

Author

Ravikanth, K., Chandra Shekar, K., Shashi Kethana, K., Sai Praveena, V., Sharon Rachel, CH., 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, Saini, H. S., editor, Sayal, Rishi, editor, Govardhan, A., editor, and Buyya, Rajkumar, editor

Published
2022
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19. Blockchain Technology in Smart-Cities

Author

Chinnasamy, P., Vinothini, C., Arun Kumar, S., Allwyn Sundarraj, A., Annlin Jeba, S. V., Praveena, V., Kacprzyk, Janusz, Series Editor, Jain, Lakhmi C., Series Editor, Panda, Sandeep Kumar, editor, Jena, Ajay Kumar, editor, Swain, Santosh Kumar, editor, and Satapathy, Suresh Chandra, editor

Published
2021
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33. A parallel optimization and transfer learning approach for summarization in electrical power systems.

Author

Priya, V., Praveena, V., and Sujithra, L. R.

Subjects
ELECTRIC power, LANGUAGE models, TEXT summarization, PARALLEL processing, ELECTRONIC data processing, NATURAL language processing
Abstract

Transfer learning approaches in natural language processing have been explored and evolved as a potential solution for solving many problems in recent days. The current research on aspect-based summarization shows unsatisfactory accuracy and low-quality generated summaries. Additionally, the potential advantages of combining language models with parallel processing have not been explored in the existing literature. This paper aims to address the problem of aspect-based extractive text summarization using a transfer learning approach and an optimization method based on map reduce. The proposed approach utilizes transfer learning with language models to extract significant aspects from the text. Subsequently, an optimization process using map reduce is employed. This optimization framework includes an in-node mapper and reducer algorithm to generate summaries for important aspects identified by the language model. This enhances the quality of the summary, leading to improved accuracy, particularly when applied to electrical power system documents. By leveraging the strengths of natural language models and parallel data processing techniques, this model presents an opportunity to achieve better text summary generation. The performance metric used is accuracy, measured with the ROUGE tool, incorporating precision, recall and f-measure. The proposed model demonstrates a 6% improvement in scores compared to state-of-the-art techniques. [ABSTRACT FROM AUTHOR]

Published
2023
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46. Congestion control in LAN network using Fuzzy logic

Author

Praveena V

Subjects
General Computer Science, Mechanics of Materials, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Electrical and Electronic Engineering, Civil and Structural Engineering
Abstract

The rapid growth and increased communications over internet has also increased the demand for an effective and efficient communication over the network. Therefore an efficient mechanism to deal with the network traffic can reduce the interruptions caused during communication and provide reliable and enhanced quality of service. Routers are responsible for performing the direction of network traffic over the internet Congestion control mechanisms provide a better way of handling network congestion. This paper analyzed the performance of RED with fuzzy logic. The important objective of fuzzy logic is to reduce packet loss during data transmission. The analysis results show that the packet dropping probability could be reduced with the help of FLRED.

Published
2020

47. Blockchain Technology: A Step Towards Sustainable Development

Author

Chinnasamy Ponnusamy and Praveena V

Subjects
General Computer Science, Mechanics of Materials, Electrical and Electronic Engineering, Civil and Structural Engineering
Abstract

The goal of this research paper is to summarize the collected works on blockchain concepts, blockchain application area, blockchain problems, and draw appropriate conclusions. Since Blockchain is relatively an innovative technology, a representative sample of research is presented, spanning the last ten years, starting with the early work in this field. Different types of Blockchain use and other digital ledger techniques have been investigated, including their challenges, security and privacy issues. The key motivation of the review study is to detect the most favorable direction for future use of blockchain and research challenges in blockchain.

Published
2019

49. A Survey of the Use of Wide Area Networks by Librarians.

Author

Raman, Praveena V. and Schwartz, Candy

Abstract

Presents results of a survey that examined the use of networks by librarians in New England. Data are reported on networks used, personnel access, exposure to networks, use of electronic mail, use of lists and bulletin boards, remote access of text files and software, problems, improvements, and future uses. The questionnaire is appended. (20 references) (MES)

Published
1992

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