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941 results on '"Gunasekaran M"'

1. Indexing energy and cost of the pretreatment for economically efficient bioenergy generation

Author

Preethi, Gunasekaran M, and Rajesh Banu. J

Subjects
waste biomass, bioenergy, pretreatment, sustainable, solubilization, General Works
Abstract

The growing necessity for energy worldwide has led to the hunt for an interminable solution in the form of sustainable energy generation. To accomplish sustainability, these problems can be resolved using renewable waste biomass, which is readily accessible and low priced. Moreover, the ecological issue due to the disposal of this waste biomass into the environment is also counteracted by the use of this biomass for energy generation along with the substantial solid reduction for disposal. The presence of complex biopolymers in biomass, which hasten the hydrolysis step during energy generation, was enhanced by the application of a pretreatment method. The efficiency of the pretreatment methods was enhanced by maintaining the cost and energy usage since the commercialization of this method is largely limited. The major economic drivers are based on solid concentration and, thus, lead to higher capital costs. This study reveals the wide assortment of current progression in pretreatment techniques for treating waste biomass with special focus on combined and phase-separated pretreatment. Additionally, it converses the advantages and limitations of pretreatment methods. This pivotal investigation brings about the cost- and energy-effective conversion solution that paves the way for a sustainable energy system.

Published
2023
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3. Adversarial Training of Logistic Regression Classifiers for Weather Prediction Against Poison and Evasion Attacks

Author

Lourdu Mahimai Doss, P., Gunasekaran, M., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, 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, Amit, editor, Gunjan, Vinit Kumar, editor, Senatore, Sabrina, editor, and Hu, Yu-Chen, editor

Published
2025
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6. Design and Analysis of Rocket Motor Nozzle

Author

Paul, Srijit, Das, Saurav, Gunasekaran, M., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A.M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Kumar, Deepak, editor, Sahoo, Vineet, editor, Mandal, Ashok Kumar, editor, and Shukla, Karunesh Kumar, editor

Published
2024
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7. Design and Analysis of Solid Rocket Motor Casing

Author

Mahadevan, P., Ravishankar, Aashni, Gunasekaran, M., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A.M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Kumar, Deepak, editor, Sahoo, Vineet, editor, Mandal, Ashok Kumar, editor, and Shukla, Karunesh Kumar, editor

Published
2024
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18. ATL 1: A high yielding Kodo millet variety

Author

Nirmalakumari, A., Subramanian, A., Geethanjali, S., Kanchanarani, R., Parasuraman, P., Jayachandran, M., Ravikesavan, R., Rajesh, M., Sivagamy, K., Ananthi, K., Sathiya, K., Selvi, V. Manimozhi, Meenakumari, B., Madhanmohan, M., Gunasekaran, M., Ambetgar, V., Geetha, S., Geethalakhshmi, V., Prabakar, K., and Subramanian, K. S.

Published
2022
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19. Early Prediction of Hydrocephalus Using Data Mining Techniques

Author

Rajiga, S. V., Gunasekaran, M., 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, Gao, Xiao-Zhi, editor, Tiwari, Shailesh, editor, Trivedi, Munesh C., editor, Singh, Pradeep Kumar, editor, and Mishra, Krishn K., editor

Published
2022
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28. Performance Enhancement of Solar Water Heater Incorporated with Latent Heat Storage Material

Author

Ajees Aboobucker, M., Muthu Saravanan, N., Mayilraj Sathish, R., Aakhash, S., Gunasekaran, M., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Ganippa, Lionel, editor, Karthikeyan, R., editor, and Muralidharan, V., editor

Published
2021
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29. Analysis of improved support vector machine for human facial recognition to obtain feedback with accuracy from customers at unmanned restaurants in comparison with deep reinforcement learning.

Author

Chetana, Pattem and Gunasekaran, M.

Subjects
*REINFORCEMENT learning, *DEEP reinforcement learning, *SUPPORT vector machines, *FACIAL expression, *RESTAURANT customers
Abstract

The major goal of this work is to propose a system that can efficiently read robot diners' facial expressions for feedback. The suggested research built its system using the FER2013 dataset. An innovative kernel trick technique is used to improve the classifier's performance in this research, which is based on a support vector machine approach. This proposed support vector machine technique calculates the rating based on the customer's facial expression. This study considers two sample groups, each having a sample size of 392. The proposed support vector machine method outperformed the previous system by achieving a greater accuracy of 82.14% than the deep reinforcement learning technique with 60.41%. The results clearly suggest that the Improved support vector machine outperforms the Deep reinforcement algorithm in terms of accuracy. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Speech emotion recognition: Develop a system that uses AI to recognize emotions from images or live video feeds. You can use machine learning models like CNNs to classify facial expressions.

Author

Ram, G. Sri Eswara Sai, Gunasekaran, M., Selvaperumal, Sathish Kumar, and Venu, Durumutla

Subjects
*CONVOLUTIONAL neural networks, *AFFECTIVE computing, *DECISION trees, *OLDER people, *EMOTION recognition
Abstract

The research project aims to assess and contrast the predictive accuracy of two distinct machine learning algorithms: the Decision Tree Classifier (DTC) and a Convolutional Neural Network (CNN) integrated with Innovative Geometric Transformation. This investigation focuses on evaluating the capability of these algorithms to predict the risk of falling among elderly individuals who are grappling with various health concerns. This research study uses a dataset with different poses adjusted as classes and trains two machine learning algorithms, a Decision Tree Classifier and a Convolutional Neural Network, with a new geometric transformation. A sample size calculation is performed with a G- power pretest of 80%, a threshold of 0.05%, and a CI of 95%. Each algorithm has a sample size of 20. The Convolutional Neural Network with Novel Geometric Transformation obtained 82.60% of accuracy whereas the Decision Tree Classifier which has got 68.85% of accuracy. The statistical significance value between CNN and DTC based on the sample t-test is p=0.000 (p<0.05) two-tailed, this shows that there is significance between two groups. Based on the experiments and results, the Convolutional Neural Network with Novel Geometric Transformation approach obtained better accuracy for predicting fall risk in older adults than the Decision Tree Classifier model. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Prevalence of dental caries in a pediatric population during the COVID-19 omicron pandemic era in South India

Author

Gunasekaran, M, Shunmugavelu, K, Ponnusamy, K, Shinde, A, Azhagarsamy, S, Murali, S, Gunasekaran, M, Shunmugavelu, K, Ponnusamy, K, Shinde, A, Azhagarsamy, S, and Murali, S

Abstract

Caries is a multifactorial disease that involves a majority of the pediatric population. If not diagnosed and treated, it can lead to severe consequences affecting the permanent dentition. The objective of this study was to assess the prevalence of oral foci of infection in a multispeciality hospital during the pandemic in Chennai, South India. The majority of the patients examined had caries., Karies ist eine multifaktorielle Erkrankung, von der ein Großteil der pädiatrischen Bevölkerung betroffen ist. Wenn sie nicht diagnostiziert und behandelt wird, kann sie schwerwiegende Folgen für das bleibende Gebiss haben. Ziel dieser Studie ist es, die Prävalenz oraler Infektionsherde in einem multidisziplinären Krankenhaus während der Pandemie in Chennai, Südindien, zu untersuchen. Die Mehrheit der untersuchten Patienten hatte Zahnkaries.

Published
2024

35. Oral foci of infection in pediatric population during COVID-19 omicron pandemic era

Author

Gunasekaran, M, Shunmugavelu, K, Ponnusamy, K, Shinde, A, Azhagarsamy, S, Murali, S, Gunasekaran, M, Shunmugavelu, K, Ponnusamy, K, Shinde, A, Azhagarsamy, S, and Murali, S

Abstract

Caries is a multifactorial disease that involves a majority of the pediatric population. If not diagnosed and treated, it can lead to severe consequences affecting the permanent dentition. The objective of this study is to assess the prevalence of oral foci of infection in a multispeciality hospital during pandemic in Chennai, South India. Majority of the patients examined had caries., Karies ist eine multifaktorielle Erkrankung, von der ein Großteil der pädiatrischen Bevölkerung betroffen ist. Wenn sie nicht diagnostiziert und behandelt wird, kann sie schwerwiegende Folgen für das bleibende Gebiss haben. Ziel dieser Studie ist es, die Prävalenz oraler Infektionsherde in einem multidisziplinären Krankenhaus während der Pandemie in Chennai, Südindien, zu untersuchen. Die Mehrheit der untersuchten Patienten hatte Zahnkaries.

Published
2024

37. Recent Developments in Biological Nutrient Removal

Author

Yukesh Kannah, R., Gunasekaran, M., Kumar, Gopalakrishana, Ushani, U., Do, Khac-Uan, Rajesh Banu, J., Agarwal, Avinash Kumar, Series Editor, Pandey, Ashok, Series Editor, Bui, Xuan-Thanh, editor, Chiemchaisri, Chart, editor, Fujioka, Takahiro, editor, and Varjani, Sunita, editor

Published
2019
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