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132 results on '"Rajesh, Kumar, M."'

1. Intelligent Energy Management across Smart Grids Deploying 6G IoT, AI, and Blockchain in Sustainable Smart Cities

Author

Mithul Raaj A T, Balaji B, Sai Arun Pravin R R, Rani Chinnappa Naidu, Rajesh Kumar M, Prakash Ramachandran, Sujatha Rajkumar, Vaegae Naveen Kumar, Geetika Aggarwal, and Arooj Mubashara Siddiqui

Subjects
smart grid management, renewable energy integration, machine learning, artificial neural networks, grid load stability prediction, solar energy forecasting, Computer software, QA76.75-76.765, Technology, Cybernetics, Q300-390
Abstract

In response to the growing need for enhanced energy management in smart grids in sustainable smart cities, this study addresses the critical need for grid stability and efficient integration of renewable energy sources, utilizing advanced technologies like 6G IoT, AI, and blockchain. By deploying a suite of machine learning models like decision trees, XGBoost, support vector machines, and optimally tuned artificial neural networks, grid load fluctuations are predicted, especially during peak demand periods, to prevent overloads and ensure consistent power delivery. Additionally, long short-term memory recurrent neural networks analyze weather data to forecast solar energy production accurately, enabling better energy consumption planning. For microgrid management within individual buildings or clusters, deep Q reinforcement learning dynamically manages and optimizes photovoltaic energy usage, enhancing overall efficiency. The integration of a sophisticated visualization dashboard provides real-time updates and facilitates strategic planning by making complex data accessible. Lastly, the use of blockchain technology in verifying energy consumption readings and transactions promotes transparency and trust, which is crucial for the broader adoption of renewable resources. The combined approach not only stabilizes grid operations but also fosters the reliability and sustainability of energy systems, supporting a more robust adoption of renewable energies.

Published
2024
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2. The Detection of Dysarthria Severity Levels Using AI Models: A Review

Author

Afnan Al-Ali, Somaya Al-Maadeed, Moutaz Saleh, Rani Chinnappa Naidu, Zachariah C. Alex, Prakash Ramachandran, Rajeev Khoodeeram, and Rajesh Kumar M

Subjects
Dysarthria, classification, severity levels, artificial intelligence (AI)-based models, intelligibility, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Dysarthria, a speech disorder stemming from neurological conditions, affects communication and life quality. Precise classification and severity assessment are pivotal for therapy but are often subjective in traditional speech-language pathologist evaluations. Machine learning models offer objective assessment potential, enhancing diagnostic precision. This systematic review aims to comprehensively analyze current methodologies for classifying dysarthria based on severity levels, highlighting effective features for automatic classification and optimal AI techniques. We systematically reviewed the literature on the automatic classification of dysarthria severity levels. Sources of information will include electronic databases and grey literature. Selection criteria will be established based on relevance to the research questions. The findings of this systematic review will contribute to the current understanding of dysarthria classification, inform future research, and support the development of improved diagnostic tools. The implications of these findings could be significant in advancing patient care and improving therapeutic outcomes for individuals affected by dysarthria.

Published
2024
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3. Design and Analysis of Composite Leaf Spring Suspension System by Using Particle Swarm Optimization Technique

Author

Gunjan, Amartya, Sharma, Pankaj, Rathod, Asmita Ajay, Salkuti, Surender Reddy, Rajesh Kumar, M., Naidu, Rani Chinnappa, Khodabux, Mohammad Kaleem, 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, Thakur, Manoj, editor, Agnihotri, Samar, editor, Rajpurohit, Bharat Singh, editor, Pant, Millie, editor, Deep, Kusum, editor, and Nagar, Atulya K., editor

Published
2023
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4. Genetically Optimized PID Controller for a Novel Corn Dryer

Author

Abhigna, Raptadu, Sharma, Akshat, Kavya, Kudumuu, Sharma, Pankaj, Salkuti, Surender Reddy, Rajesh Kumar, M., Naidu, Rani Chinnappa, Sreekeessoon, Bhamini, 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, Thakur, Manoj, editor, Agnihotri, Samar, editor, Rajpurohit, Bharat Singh, editor, Pant, Millie, editor, Deep, Kusum, editor, and Nagar, Atulya K., editor

Published
2023
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13. Accelerometer Based Home Automation System Using IoT

Author

Vanmathi, U., Jadhav, Hindavi, Nandhini, A., Rajesh Kumar, M., 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, Das, Kedar Nath, editor, Bansal, Jagdish Chand, editor, Deep, Kusum, editor, Nagar, Atulya K., editor, Pathipooranam, Ponnambalam, editor, and Naidu, Rani Chinnappa, editor

Published
2020
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14. An IOT-Based Vehicle Tracking System with User Validation and Accident Alert Protocol

Author

Balaji, S., Gumber, Abhinav, Santhakumar, R., Rajesh Kumar, M., Tiwari, Agastya, Debnath, Himayan, 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, Das, Kedar Nath, editor, Bansal, Jagdish Chand, editor, Deep, Kusum, editor, Nagar, Atulya K., editor, Pathipooranam, Ponnambalam, editor, and Naidu, Rani Chinnappa, editor

Published
2020
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15. NLMS-LOESS Algorithm for Adaptive Noise Cancelation

Author

Sil, Ritam, Bharath, K. P., Karthik, R., Rajesh Kumar, M., 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, Ruediger, 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, Liang, Qilian, 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, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Panda, Ganapati, editor, Satapathy, Suresh Chandra, editor, Biswal, Birendra, editor, and Bansal, Ramesh, editor

Published
2019
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16. Lisp Detection and Correction Based on Feature Extraction and Random Forest Classifier

Author

Itagi, Anirudh, Baby, Cyril Joe, Rout, Subham, Bharath, K. P., Karthik, R., Rajesh Kumar, M., 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, Ruediger, 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, Liang, Qilian, 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, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Panda, Ganapati, editor, Satapathy, Suresh Chandra, editor, Biswal, Birendra, editor, and Bansal, Ramesh, editor

Published
2019
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17. Implementation of Neural Network and Feature Extraction to Classify ECG Signals

Author

Karthik, R., Tyagi, Dhruv, Raut, Amogh, Saxena, Soumya, Bharath, K. P., Rajesh Kumar, M., 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, Ruediger, 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, Liang, Qilian, 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, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Panda, Ganapati, editor, Satapathy, Suresh Chandra, editor, Biswal, Birendra, editor, and Bansal, Ramesh, editor

Published
2019
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18. Automatic Phone Slip Detection System

Author

Karthik, R., Satapathy, Preetam, Patnaik, Srivatsa, Priyadarshi, Saurabh, Bharath, K. P., Rajesh Kumar, M., 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, Ruediger, 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, Liang, Qilian, 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, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Panda, Ganapati, editor, Satapathy, Suresh Chandra, editor, Biswal, Birendra, editor, and Bansal, Ramesh, editor

Published
2019
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19. Efficient License Plate Recognition System with Smarter Interpretation Through IoT

Author

Tejas, K., Ashok Reddy, K., Pradeep Reddy, D., Bharath, K. P., Karthik, R., Rajesh Kumar, M., 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, Bansal, Jagdish Chand, editor, Das, Kedar Nath, editor, Nagar, Atulya, editor, Deep, Kusum, editor, and Ojha, Akshay Kumar, editor

Published
2019
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34. Automatic Phone Slip Detection System

Author

Karthik, R., primary, Satapathy, Preetam, additional, Patnaik, Srivatsa, additional, Priyadarshi, Saurabh, additional, Bharath, K. P., additional, and Rajesh Kumar, M., additional

Published
2018
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47. In silico evaluation of isatin-based derivatives with RNA-dependent RNA polymerase of the novel coronavirus SARS-CoV-2

Author

V. Violet Dhayabaran, Jeyakanthan Jeyaraman, Jesu Castin Edward, Rajesh Kumar M, Vijay Nirusimhan, Richard Mariadasse, Sherlin Rosita A, and Daniel Andrew Gideon

Subjects
2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), Isatin, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), In silico, RNA-dependent RNA polymerase, General Medicine, Virology, chemistry.chemical_compound, Docking (dog), chemistry, Structural Biology, Severe acute respiratory syndrome coronavirus, Molecular Biology
Abstract

Isatin (1H-indole-2,3-dione)-containing compounds have been shown to possess several remarkable biological activities. We had previously explored a few isatin-based imidazole derivatives for their ...

Published
2021

50. A Facile Synthesis of Sn-Doped CeO2 Nanoparticles: High Performance Electrochemical Nitrite Sensing Application

Author

Manibalan, G., Murugadoss, G., Hazra, S., Marimuthu, R., Manikandan, C., Jothi Ramalingam, R., Rajesh, Kumar, M., Manibalan, G., Murugadoss, G., Hazra, S., Marimuthu, R., Manikandan, C., Jothi Ramalingam, R., and Rajesh, Kumar, M.

Abstract

Development of novel electrode materials for sensing water pollutant like nitrite, nitrate, paramedical pollutants and fertilizers is a more promising research area in electrochemical sensor field. Various pure as well as doped metal oxides were used as electrodes for sensing the water pollutants but, deficits in stability, reproducibility and real time analysis. In the present work, a promising Sn-doped CeO2 based sensor was fabricated for sensing nitrite in water. A selective concentration of Sn (5%) doped CeO2 nanoparticles were synthesized by facile chemical precipitation method. The structural, optical and morphological information were studied using various techniques. The morphological of the sample was revealed an agglomerated with spherical nanoparticles with size of 8.5 nm. The synergistic effect of Sn-CeO2/GCE improves the electrochemical behavior of nitrite on the modified surface. Sn-doped CeO2 nanoparticles has a better surface property and provides a more fine-grained media to facilitate electron transfer during the reaction between analyte and electrode. The Sn-CeO2/GCE electrode possesses excellent electrocatalytic oxidation of nitrite (NO2–) which was investigated by cyclic voltammetry (CV) and amperometry techniques. The remarkable sensitivities of nitrite were found that 245.4 µA cm−2 mM−1 and 89.53 µA cm−2 mM−1 with R2 = 0.999 and RSD of ∼ 6%. Similarly, the limit of detection (LOD) towards nitrite ion sensing was found to be 16 nM. The real time application of Sn-CeO2/GCE sensor was demonstrated by the detection of nitrite present in environmental water samples with excellent recoveries. Hence, Sn-doped CeO2 modified electrode also demonstrates good reproducibility, long time stability, and excellent selectivity properties. Thus, a developed electrochemical sensor possesses a novel promise for the construction of simple and sensitive nitrite analytical stage. © 2021 Elsevier B.V.

Published
2022

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