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78 results on '"Shastry, K Aditya"'

7. Predictive Pricing Model for Shared Economy Ride Applications: Incorporating Latest Data and Factors

Author

Shahi, Harshit, Shastry, K Aditya, Pathak, Chethna, Verma, Abhiruchi, Verma, Nilesh, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Ortiz-Rodríguez, Fernando, editor, Tiwari, Sanju, editor, Usoro Usip, Patience, editor, and Palma, Raul, editor

Published
2023
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8. Machine Learning Framework for Prediction of Parkinson’s Disease in Cloud Environment

Author

Shastry, K. Aditya, Sushma, V., Bansal, Naman, Saxena, Ujjwal, Srivastava, Shrey, Samal, Suvang, 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, Shetty, N. R., editor, Patnaik, L. M., editor, and Prasad, N. H., editor

Published
2023
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10. REaL: Real-time Face Detection and Recognition Using Euclidean Space and Likelihood Estimation

Author

Ramesh, Sandesh, M V, Manoj Kumar, and Shastry, K Aditya

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Detecting and recognizing faces accurately has always been a challenge. Differentiating facial features, training images, and producing quick results require a lot of computation. The REaL system we have proposed in this paper discusses its functioning and ways in which computations can be carried out in a short period. REaL experiments are carried out on live images and the recognition rates are promising. The system is also successful in removing non-human objects from its calculations. The system uses a local database to store captured images and feeds the neural network frequently. The captured images are cropped automatically to remove unwanted noise. The system calculates the Euler angles and the probability of whether the face is smiling, has its left eye, and right eyes open or not., Comment: International Journal of System Assurance Engineering and Management

Published
2020

16. Machine Learning Based Consumer Credit Risk Prediction

Author

Samanvitha, G. S., Shastry, K. Aditya, Vybhavi, N., Nidhi, N., Namratha, R., 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, Aurelia, Sagaya, editor, Hiremath, Somashekhar S., editor, Subramanian, Karthikeyan, editor, and Biswas, Saroj Kr., editor

Published
2022
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17. Prediction of Autism in Children with Down’s Syndrome Using Machine Learning Algorithms

Author

Disha, D. N., Seema, S, Shastry, K. Aditya, 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, Shetty D., Pushparaj, editor, and Shetty, Surendra, editor

Published
2022
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18. Machine Learning-Based Ensemble Network Security System

Author

Wagle, Prashanth P., Rani, Shobha, Kowligi, Suhas B., Suman, B. H., Pramodh, B., Kumar, Pranaw, Raghavan, Srinivasa, Shastry, K. Aditya, Sanjay, H. A., Kumar, Manoj, Nagaraj, K., Subhash, C., 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, Shetty D., Pushparaj, editor, and Shetty, Surendra, editor

Published
2022
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19. Crop and Fertilizer Recommendation System Based on Soil Classification

Author

Pruthviraj, Akshatha, G. C., Shastry, K. Aditya, Nagaraj, Nikhil, 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, Shetty D., Pushparaj, editor, and Shetty, Surendra, editor

Published
2022
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20. Machine Learning-Based Air Pollution Prediction

Author

Shivakumar, Sheethal, Shastry, K. Aditya, Singh, Simranjith, Pasha, Salman, Vinay, B. C., Sushma, 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, Shetty D., Pushparaj, editor, and Shetty, Surendra, editor

Published
2022
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25. Machine Learning Approach for Student Academic Performance Prediction

Author

Rai, Sachin, Shastry, K. Aditya, Pratap, Surendra, Kishore, Saurav, Mishra, Priyanka, Sanjay, H. A., 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, Peng, Sheng-Lung, editor, Satapathy, Suresh Chandra, editor, and Zhang, Yu-Dong, editor

Published
2021
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27. Machine Learning for Bioinformatics

Author

Shastry, K. Aditya, Sanjay, H. A., Bansal, Jagdish Chand, Series Editor, Deep, Kusum, Series Editor, Nagar, Atulya K., Series Editor, Srinivasa, K. G., editor, Siddesh, G. M., editor, and Manisekhar, S. R., editor

Published
2020
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30. Machine Learning-Based Ensemble Network Security System

Author

Wagle, Prashanth P., primary, Rani, Shobha, additional, Kowligi, Suhas B., additional, Suman, B. H., additional, Pramodh, B., additional, Kumar, Pranaw, additional, Raghavan, Srinivasa, additional, Shastry, K. Aditya, additional, Sanjay, H. A., additional, Kumar, Manoj, additional, Nagaraj, K., additional, and Subhash, C., additional

Published
2021
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32. Optimal Sensor Deployment and Battery Life Enhancement Strategies to Employ Smart Irrigation Solutions for Indian Agricultural Sector

Author

Ajay, M. K., Sanjay, H. A., Jeevan, Sai, Harshitha, T. K., mobin, M. Farhana, Shastry, K. Aditya, 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, Shetty, N. R., editor, Patnaik, L. M., editor, Nagaraj, H. C., editor, Hamsavath, Prasad Naik, editor, and Nalini, N., editor

Published
2019
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50. Signature Analysis for Forgery Detection

Author

N. Srilakshmi, Shastry K. Aditya, M. R. Niharika, Dinesh Rao Adithya, and V. L. Anagha

Subjects
Authentication, Artificial neural network, Computer science, business.industry, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Pattern recognition, Access control, Image processing, Signature (logic), Image (mathematics), Identification (information), Artificial intelligence, business
Abstract

Forgery of signature has become very common, and the need for identification and verification is vital in security and resource access control. There are three types of forgery: random forgery, simple or casual forgery, expert or skilled or simulated forgery. The main aim of signature verification is to extract the characteristics of the signature and determine whether it is genuine or forgery. There are two types of signature verification: static or offline and dynamic or online. In our proposed solution, we use offline signature analysis for forgery detection which is carried out by first acquiring the signature and then using image pre-processing techniques to enhance the image. Feature extraction algorithms are further used to extract the relevant features. These features are used as input parameters to the machine learning algorithm which analyses the signature and detects for forgery. Performance evaluation is then carried out to check the accuracy of the output.

Published
2019

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