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1,137 results on '"Satyanarayana, K."'

15. Obituary

Author

Satyanarayana, K.

Published
2018

17. Development and Performance Evaluation of NavIC-Based Reefer Monitoring System

Author

Praneeth Reddy, N., Sumanth Reddy, B., Supraja Reddy, A., Satyanarayana, K., Dileep Reddy, V., 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, Tan, Kay Chen, Series Editor, Kumar Jain, Pradip, editor, Nath Singh, Yatindra, editor, Gollapalli, Ravi Paul, editor, and Singh, S. P., editor

Published
2024
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19. An Efficient Denoising of Medical Images Through Convolutional Neural Network

Author

Soni Sharmila, K., Manikanta, S. P, Santosh Kumar Patra, P., Satyanarayana, K., Ramesh Chandra, K., 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, Pareek, Prakash, editor, Gupta, Nishu, editor, and Reis, M. J. C. S., editor

Published
2024
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21. Numerical Analysis on the Performance of Nitrogen Pulsating Heat Pipe

Author

Satyanarayana, K., Reddy, N. V. S. M., Rosang, P., Venugopal, S., 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, and Swain, Bibhu Prasad, editor

Published
2023
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23. Lung Cancer Classification Using Improvised CNN

Author

Ganesan, Subramaniam, Joshua, Eali Stephen Neal, Satyanarayana, K. V., Nagu, V., Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Hassanien, Aboul Ella, editor, Zheng, Dequan, editor, Zhao, Zhijie, editor, and Fan, Zhipeng, editor

Published
2023
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24. Performance of a Single-Turn Pulsating Heat Pipe at Varying Gravity

Author

Satyanarayana, K., Reddy, N. V. S. M., Rosang, P., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Tripathy, Sasmeeta, editor, Samantaray, Sikata, editor, Ramkumar, J., editor, and Mahapatra, S. S., editor

Published
2023
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25. Breast Cancer Classification Using Improved Fuzzy C-Means Algorithm

Author

Rao, N. Thirupathi, Satyanarayana, K. V., Satyanarayana, M., Joshua, Eali Stephen Neal, Bhattacharyya, Debnath, 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, Ogudo, Kingsley A., editor, Saha, Sanjoy Kumar, editor, and Bhattacharyya, Debnath, editor

Published
2023
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26. Classification of Healthy and Diseased Lungs by Pneumonia Using X-Rays and Gene Sequencing With Deep Learning Approaches

Author

Bhattacharya, Debdatta, Satyanarayana, K. V., Rao, N. Thirupathi, Joshua, Eali Stephen Neal, 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, Ogudo, Kingsley A., editor, Saha, Sanjoy Kumar, editor, and Bhattacharyya, Debnath, editor

Published
2023
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28. Intelligence-aided transceiver design for millimeter wave communications

Author

Satyanarayana, K. and Hanzo, Lajos

Subjects
621.384
Abstract

The millimeter wave (mmWave) frequency band spanning from 30 GHz to 300 GHz offers a tremendous potential frequency resource for future wireless communication systems in order to meet the ever-increasing capacity demand. However, an important challenge at mmWave frequencies is that they suffer from high propagation loss because of the oxygen absorption, rain-induced fading and foliage attenuation. In order to mitigate the propagation losses, directional transmission would be employed. Furthermore, owing to the high cost and high hardware complexity as well as power-hungry nature of analog-to-digital and digital-to-analog converters, a hybrid beamforming architecture relying on both analog beamforming and digital precoding is conceived. However, the impairments in the analog beamforming employed at the radio-frequency (RF) would limit the achievable rate of mmWave hybrid systems. Therefore, we enhance the achievable data rate of mmWave hybrid systems with the aid of diversity and beamforming schemes. More explicitly we conceive a dual-function hybrid beamforming transceiver, where both diversity and beamforming gains can be attained. This is achieved by separting the sub-arrays emerging from a full array by a sufficiently large distance so the correlation between the sub-arrays is minimum. Then to further enhance the data rate, we considered full-duplex communication at mmWave frequencies relying on hybrid beamforming, where we aimed for mitigating the self-interference (SI) by jointly designing the RF transmit and receive beamformer weights and the precoder as well as combiner matrices. The proposed solution preserves the signal's dimensionality, while mitigating the SI. We show that the proposed design is capable of reducing the SI by upto 30 dB, hence performing similarly to the hypothetical interference-free FD system. However, we note that the aforementioned designs rely on the assumption of having perfect beam-alignment and channel impulse response knowledge. Therefore, in order to relax this assumption, we invoke machine learning tools for intelligent beam-alignment. Publications based on the location of the user, where we demonstrate that our design performs similarly to beam-sweeping based beam-alignment relying on high-complexity exhaustive beam-search. Furthermore to counteract the channel aging phenomenon, we propose learning-assisted channel prediction. In order to reduce the signalling overhead and detector complexity at the receiver, we propose deep learning assisted semi-blind detection for index modulation mmWave MIMO systems. More particularity, we propose a detector for index modulation systems operating without relying on the explicit knowledge of the CSI at the receiver. We observe by our simulations that the number of computations required for learning-assisted soft-detection is four times lower than that of the conventional soft-detector.

Published
2020

36. Acid Mediated In‐Situ Catalytic Cleavage/Making of C=N Bonds in Bis‐Hydrazone Uranyl Complexes: Exploration of Photophysical, Electrochemical, Dye Sorption Properties and DFT Studies.

Author

Devi, Sarau, Nayak, Sampurna, Richard, Bartholomew, Ravindran, Reena, Salaria, Punam, Chatterjee, Aditi, Arivazhagan, C., Garai., Abhijit, Reddy M, Amarendar, Kim, Sung Yeol, and Konavarapu, Satyanarayana K.

Subjects
SORPTION, X-ray powder diffraction, URANINITE, METHYLENE blue, DENSITY functional theory, URANIUM compounds
Abstract

Two new uranium complexes [UO2L2(H2O)] (where L2=diacetyl bis‐isonicotinoyl hydrazone) complex 1, and [UO2(L1)2] (where L1=diacetylmonoxime isonicotinoylhydrazone) complex 2, have been synthesized by precisely adjusting the pH values of the reaction system. Complex 1 was formed in an acidic ethanolic solution (pH=3) through an in‐situ acid catalytic reaction of diacetylmonoxime isonicotinoylhydrazone and UO2(NO3)2.6H2O, while complex 2 was acquired in a neutral medium (pH=7) through self‐assembly of two ligands and one uranium (VI) metal centre. Both complexes were thoroughly characterized by elemental analysis, UV‐Visible spectroscopy, IR spectroscopy, NMR, TGA, cyclic voltammetry, and powder X‐ray diffraction. The studies indicate that the bis‐hydrazone in complex 1 is a dianionic tetradentate N2O2 donor, whereas in complex 2 it is a monoanionic tridendate N2O donor. The formation of complex 1 was further confirmed by a single‐crystal X‐ray diffraction study, which revealed the role of a water molecule in forming a pentagonal bipyramidal geometry of [UO2L2(H2O)]. Photophysical studies revealed that complexes 1 and 2 exhibited low band gap values of 2.07 and 2.12 eV, respectively, indicating their semiconducting nature. From the CV measurements, the higher negative potentials of the complexes 1 & 2 {1, −0.6 V and 2, −0.5 V vs. ferrocenium/ferrocene (Fc+/Fc)} in DMSO are assigned to the presence of {UO2}2+/{UO2}+ couple signifying their redox active nature. Dye adsorption studies show that both the complexes were able to remove 90 % of Methylene blue (MB) and Rhodamine B (RhB) from the solutions with the concentration of 10−5 M. The structural insights and electronic properties of Ligand HL1 and complex 1 were further explored by density functional theory (DFT) calculations. [ABSTRACT FROM AUTHOR]

Published
2024
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37. An Automatic Perception of Blood Sucker on Thin Blood Splotch Using Graphical Modeling Methods

Author

Sushma, D., Satyanarayana, K. V., Thirupathi Rao, N., Bhattacharyya, Debnath, Kim, Tai-hoon, 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, Saha, Sanjoy Kumar, editor, Pang, Paul S., editor, and Bhattacharyya, Debnath, editor

Published
2021
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40. Analysis of Queuing Model-Based Cloud Data Centers

Author

Satyanarayana, K. V., Sudha, K., Rao, N. Thirupathi, Chen, Ming, 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, Fiaidhi, Jinan, editor, Bhattacharyya, Debnath, editor, and Rao, N. Thirupathi, editor

Published
2020
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41. Multi-objective Optimization of Composing Tasks from Distributed Workflows in Cloud Computing Networks

Author

Murali Mohan, V., Satyanarayana, K. V. 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, 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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45. Cardiacnet: Cardiac Arrhythmia Detection and Classification Using Unsupervised Learning Based Optimal Feature Selection with Custom CNN Model.

Author

Srinivas, Kalyanapu, Ch, Vijayalakshmi, Borra, Subba Reddy, Raju, K. Srujan, Koteswara Rao, Ganga Rama, Satyanarayana, K. N. V., and Kumar, Pala Mahesh

Subjects
CONVOLUTIONAL neural networks, ARRHYTHMIA, FEATURE selection, ARTIFICIAL intelligence, PRINCIPAL components analysis
Abstract

Copyright of Informatica (03505596) is the property of Slovene Society Informatika and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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50. Design and Simulation of Implantable Blood Pressure Sensor Using COMSOL Multiphysics

Author

Murthy, K. S. N., Siva Kumar, M., Suma Bindu, K., Satyanarayana, K., Sivateja, D., Sai Hemanth, G., 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, Singh, Rajesh, editor, Choudhury, Sushabhan, editor, and Gehlot, Anita, editor

Published
2018
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