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72 results on '"Rajaprakash, S."'

2. A Blockchain with RB-BM23-1 Method Used to Secure the Analyzed Data

Author

Kishore, Rajaprakash, S., Karthik, K., Neha, Sarangakrishna, Chandra, Pavan, Li, Gang, Series Editor, Filipe, Joaquim, Series Editor, Xu, Zhiwei, Series Editor, K., Valarmathi, editor, A., Ramathilagam, editor, Seeni, Sankarganesh, editor, Kose, Utku, editor, Hung, Bui Thanh, editor, and Kottursamy, Kottilingam, editor

Published
2024
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3. Ranking the Mosquito Species Habitats Using the Intuitionistic Fuzzy Analytical Hierarchy Process

Author

Rajaprakash, S., Basha, C. Bagath, Subapriya, V., Karthik, K., Jagadeesan, J., Ganesh, S. Sankar, 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, Nagar, Atulya K., editor, Jat, Dharm Singh, editor, Mishra, Durgesh Kumar, editor, and Joshi, Amit, editor

Published
2024
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4. A Securing the Data Using a Novel Security Algorithm S-RKB-22

Author

Bagath Basha, C., Rajaprakash, S., Subapriya, V., Karthik, K., Jagadeesan, J., Sankar Ganesh, S., 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, Nagar, Atulya K., editor, Jat, Dharm Singh, editor, Mishra, Durgesh, editor, and Joshi, Amit, editor

Published
2024
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5. Choquet Integral-Fuzzy Measures Over the Customer Satisfaction in Car Manufacturing Industry

Author

Rajaprakash, S., Basha, C. Bagath, Subapriya, V., Karthik, K., Jagadeesan, J., Ganesh, S. Sankar, 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, Nagar, Atulya K., editor, Jat, Dharm Singh, editor, Mishra, Durgesh, editor, and Joshi, Amit, editor

Published
2024
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7. The Security Algorithm BR22-01 Used to Secure the COVID’19 Health Data

Author

Bagath Basha, C., Rajaprakash, S., Nithya, M., Sunitha, C., Karthik, K., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Kottursamy, Kottilingam, editor, Bashir, Ali Kashif, editor, Kose, Utku, editor, and Uthra, Annie, editor

Published
2023
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8. The Security Algorithm ES-BR22-001 Used to Secure the Health Data

Author

Rajaprakash, S., Muthuselvan, S., Jaichandaran, R., Sai Nithankumar, M., Sai Rathankumar, M., Gupta, Vishal Kumar, 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, Nagar, Atulya K., editor, Singh Jat, Dharm, editor, Mishra, Durgesh Kumar, editor, and Joshi, Amit, editor

Published
2023
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9. Study and Comparision of 'MIMO-OFDM' Under Acoustic Communication Systems

Author

Sankar Ganesh, S., Rajaprakash, S., 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, Shakya, Subarna, editor, Du, Ke-Lin, editor, and Haoxiang, Wang, editor

Published
2022
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10. KRB02 Method Used to Secure the Generalized Data

Author

Karthik, K., Rajaprakash, S., Naga Yugandhar Reddy, B., Varun Kumar Reddy, V., Maheswara Balaji, C. H., 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, Shakya, Subarna, editor, Du, Ke-Lin, editor, and Haoxiang, Wang, editor

Published
2022
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13. RBJ20 Cryptography Algorithm for Securing Big Data Communication Using Wireless Networks

Author

Rajaprakash, S., Jaishanker, N., Basha, Chan Bagath, Muhuselvan, S., Aswathi, A. B., Jayan, Athira, Sebastian, Ginu, 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, Nagar, Atulya K., editor, Jat, Dharm Singh, editor, Marín-Raventós, Gabriela, editor, and Mishra, Durgesh Kumar, editor

Published
2022
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15. Hybrid Machine Learning Model Using Decision Tree and Support Vector Machine for Diabetes Identification

Author

Dhasaradhan, K., Jaichandran, R., Shunmuganathan, K. L., Usha Kiruthika, S., Rajaprakash, S., 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, Satapathy, Suresh Chandra, editor, Travieso-González, Carlos M., editor, and Aradhya, V. N. Manjunath, editor

Published
2021
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18. Determining the Balance Scorecard in Sheet Metal Industry Using the Intuitionistic Fuzzy Analytical Hierarchy Process with Fuzzy Delphi Method

Author

Rajaprakash, S., Ponnusamy, R., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Prasath, Rajendra, editor, and Gelbukh, Alexander, editor

Published
2017
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19. Performance analysis of machine learning algorithms for breast cancer prediction.

Author

Dhasaradhan, K., Jaichandran, R., Kiruthika, S. Usha, and Rajaprakash, S.

Subjects
MACHINE learning, MACHINE performance, DECISION trees, BREAST cancer, SUPPORT vector machines, BENIGN tumors
Abstract

This paper presents machine learning algorithms for predicting different stages of breast cancer tumour such as benign and malignant. Machine learning (ML) models such as Logistic regression (LR), Decision tree (DT), Naive Bayes (NB), Support vector machine (SVM), K-nearest neighbour (KNN), Random Forest (RF) and XG Boost (XGB) used for predicting different stages of breast cancer. The Breast cancer data is collected from UCI machine learning Repository, this data is used training and testing the machine algorithms. Performance and evaluation of machine learning algorithms using confusion matrix and metrics are used Accuracy, Precision, Recall and f1-score. Support vector machine (SVM) performed better result of metrics score to compared with other machine learning algorithms. [ABSTRACT FROM AUTHOR]

Published
2024
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20. Detection of breast cancer using convolution neural networks.

Author

Jaichandran, R., Ramasamy, Jawahar, Rajaprakash, S., Gokul, R., and Shameer, S.

Subjects
CONVOLUTIONAL neural networks, BREAST cancer, EARLY detection of cancer, FEATURE extraction, PRINCIPAL components analysis
Abstract

Breast cancer is a vital problem for women across the globe. Mostly breast cancer is been identified at the later stages. In existing approach, the breast cancers are inspected by doctors bur accuracy and time are major concerns. To overcome the existing issue, we proposed breast cancer detection technique using computer vision invoking image processing and deep learning technique. The trained model is been built using convolutional neural network (CNN). Feature extraction is performed using principal component analysis (PCA). For experimental results, we use google colab with python script to analyze and recommend outcomes such as benign, malignant. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Route Optimization Using Radial Interpolated Quantum Finite Automata for Intelligent Transportation

Author

Subapriya, V. and Rajaprakash, S.

Subjects
Quantum Finite Automata, Artificial Intelligence, Radial Basis, Interpolated Neural Network, Internet of Transportation things, Intelligent Transportation Systems
Abstract

Internet of Things (IoT) is novel pattern which is giving immeasurable services. Several applications integrate physical objects by internet as well as transmit data gathered over network without human interference. Artificial Intelligence (AI) is the potentiality of a machine to carry out analytical consequences like, assessing, inferring, learning and problem-solving that humans are competent of carrying out at ease. Nevertheless, there still remains scope to IoT in transportation (i.e., Internet of Transportation things) where AI benefits from Intelligent Transportation Systems (ITS). This is owing to the reason that with the immense growth in population has resulted in increase in demand for vehicles. This has inspired several researchers to come up with numerous features by designing pertinent applications to make transportation smart by optimization vehicle route, ensuring smooth and smart parking, therefore paving ways and mechanisms in reducing congestions and accidents. In this work to circumvent traffic jams as well as solve congestion problems, Radial Basis Interpolated Neural Network and Quantum Finite Automata (RBINN-QFA) route optimization technique is applied to identify optimal route. Sensors positioned on each of the junctions are used to collect data at different time. A Radial Basis Interpolated Neural Network (RBI-NN) algorithm is first applied to identify the arrival time of vehicles for data allocation. Next, Quantum Finite Automata (QFA) is applied for group routing so which traffic congestion is reduced. Grouping here are formed based on the number of vehicles and junction. The Quantum Finite Automata algorithm assigned routes to vehicles to evade congestion and therefore ensuring optimized vehicle routing. Simulation outcomes represent that RBINN-QFA method give high routing accuracy as well as minimum route detection time with improved sensitivity and specificity. The finding put forwards an abstract development for performing machine learning techniques in gathering ITS-oriented data as well as smart city optimal routing.

Published
2023

23. Ranking Business Scorecard Factor Using Intuitionistic Fuzzy Analytical Hierarchy Process with Fuzzy Delphi Method in Automobile Sector

Author

Rajaprakash, S., Ponnusamy, R., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Prasath, Rajendra, editor, Vuppala, Anil Kumar, editor, and Kathirvalavakumar, T., editor

Published
2015
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25. Determining the Customer Satisfaction in Automobile Sector Using the Intuitionistic Fuzzy Analytical Hierarchy Process

Author

Rajaprakash, S., Ponnusamy, R., Pandurangan, J., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, Series editor, Tanaka, Yuzuru, Series editor, Wahlster, Wolfgang, Series editor, Siekmann, Jörg, Series editor, Prasath, Rajendra, editor, O’Reilly, Philip, editor, and Kathirvalavakumar, T., editor

Published
2014
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26. Determining Students Expectation in Present Education System Using Fuzzy Analytic Hierarchy Process

Author

Rajaprakash, S., Ponnusamy, R., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Prasath, Rajendra, editor, and Kathirvalavakumar, T., editor

Published
2013
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46. A systematic literature review on Security in Blockchain technology-based applications.

Author

Kumar, S. Senthil and Rajaprakash, S.

Subjects
BLOCKCHAINS, DATA security, DATA integrity, INFORMATION sharing, INTEGRITY
Abstract

The evolution of modern internet technologies necessitates data security. The essential development of modern internet technology is digital information. Blockchain technology is the backbone of a new sort of internet that allows digital information to be distributed yet not replicated. The backbone of a new type of internet was established by block chain technology, which allows all transactions to be stored in immutable records and spread over multiple participant nodes. The use cases for block chain technology are rapidly expanding, with the primary goal of enabling Authentication, data integrity, and secure data sharing. This study's goal is to give a comprehensive overview of the literature on the use of Block chain as a base technology for protecting both financial and nonfinancial applications. The goal is to aims to see if Blockchain technology can deliver the needed security solutions in a variety of applications. Previous research is evaluated for its benefits, problems, and solutions. Integrity, Availability, Authenticity, Accountability, and Reliability are terms that apply to information were among the topics covered in the poll. The study concludes that Blockchain technology has potential for both financial and nonfinancial industries because it can address the majority of security concerns. Future research should focus on putting the proposed solutions outlined in the security issues of Blockchain technology into practice. [ABSTRACT FROM AUTHOR]

Published
2022

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