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402 results on '"Poornima, S."'

11. Influence of the Bio-lubricant Along with Nano Compounds as Additives on the Properties of the Lubricant

Author

Poornima, S. Nithya, Shantha, V., Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Sumesh, M., editor, R. S. Tavares, João Manuel, editor, Vettivel, S. C., editor, and Oliveira, Mario Orlando, editor

Published
2024
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18. Automated Testing for Quality Inspection of Food Grains

Author

Poornima, S. Nithya, Shantha, V., Cavas-Martínez, Francisco, Editorial Board Member, Chaari, Fakher, Series Editor, di Mare, Francesca, Editorial Board Member, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Editorial Board Member, Ivanov, Vitalii, Series Editor, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Manik, Gaurav, editor, Kalia, Susheel, editor, Verma, Om Prakash, editor, and Sharma, Tarun K., editor

Published
2023
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20. Oral health status, treatment needs, and patterns of utilization of dental services among village volunteers in Andhra Pradesh: A cross-sectional multi-stage cluster survey

Author

Gadde Praveen, Manchikatla Sravani, Chaitanya Ram Kadiyala, Sai Lakshmi Durga Indukuri, U L Poornima S, and Sravani Pampana

Subjects
awareness, dental diseases, dental needs, oral health services, village volunteers, Medicine
Abstract

Background: Community health depends on the leadership duties of a diverse population, such as village volunteers. Hence, a study was conducted to assess oral health status, treatment needs, and patterns of utilization of dental services among village volunteers in Andhra Pradesh state. Methodology: A cross-sectional study was conducted among 400 village volunteers in Andhra Pradesh state, India. A multi-stage cluster sampling procedure was employed in sample selection. A questionnaire was used to review the pattern of utilization of dental services. World Health Organization Oral Health assessment form 1997 was used to evaluate oral health status and treatment needs. Data collected were analyzed using IBM SPSS Statistics for Windows, Version 25.0. Descriptive statistics were done. Results: Out of 400, 18% had never visited the dental clinic in their lifetime. The majority (33.5%) considered that dental problems were not a serious concern. Dental caries was seen in 69.5%, and 78.5% were presented with periodontal conditions. About 19.8% and 24.3% had crowding and spacing in incisal segments, respectively. The prevalence of oral mucosal disorders and dental fluorosis was 4.25% and 8.75%, respectively. Overall, 94% of the study participants needed dental treatment for various reasons. Conclusion: This study provides sufficient evidence to conclude that this population's oral health was poor, with increasing unmet dental treatment needs. Selected interventions and strategies should focus on these factors to decrease the burden of oral diseases among village volunteers.

Published
2023
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24. Unsupervised Extractive Text Summarization Using Distance-Based Clustering Algorithms

Author

Divya, S., Sripriya, N., Mohanavalli, S., Poornima, S., 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, Kumar, Amit, editor, Senatore, Sabrina, editor, and Gunjan, Vinit Kumar, editor

Published
2022
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30. Use of disposable needle hub for decompression of large dentigerous cyst: A case report

Author

Naga M R. Inturi, Poornima S Natra, and Swathi Tummalapalli

Subjects
decompression, dentigerous cyst, disposable syringe, hub of needle, Medicine
Abstract

Developmental cysts are commonly seen in children, dentigerous cyst is one among them. Cysts associated with vital structures like erupting permanent teeth have to be treated more conservatively. Marsupialization or decompression is more routinely done procedures; the only hitch is maintaining the patency of the window. Various materials are being tried like customized acrylic stents, plastic tubings, disposable suction tips, etc. We want to present a case of decompression of maxillary dentigerous cyst with the use of readily available disposable syringe hub. Syringe hub is cut and trimmed to adapt to the edges of the window created for decompression and stabilized with sutures. It causes less tissue trauma and the larger outer rim provides retention for the stent. Disposable anesthetic syringe hubs can be additional material for decompression with better handling and usage.

Published
2022
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31. A Lightweight Multi-label Image Classification Model Based on Inception Module

Author

Jain, Shreya, Thakur, Poornima S., Bharti, Kusum, Khanna, Pritee, Ojha, Aparajita, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Singh, Satish Kumar, editor, Roy, Partha, editor, Raman, Balasubramanian, editor, and Nagabhushan, P., editor

Published
2021
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32. Classification of Gender from Face Images and Voice

Author

Poornima, S., Sripriya, N., Preethi, S., Harish, Saanjana, 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, Peter, J. Dinesh, editor, Fernandes, Steven L., editor, and Alavi, Amir H., editor

Published
2021
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39. Predicting the popularity of books before publication using machine learning.

Author

Sachdeva, Hansika, Puri, Ujjwal, and Poornima, S.

Subjects
MACHINE learning, POPULARITY, AUTHOR-publisher relations, ELECTRONIC books, TEXTBOOKS, PUBLISHING
Abstract

The publishing industry is highly competitive, and predicting the popularity of books before their publication can significantly benefit publishers and authors alike. Publishers tend to put a lot of resources into all the books they choose to publish. If the book ends up being unsuccessful or does not perform as well as it was supposed to, they lose the time and resources spent on that book. There is no measure that can validate the editors' decisions about books and predict their popularity. In our paper, we propose a novel approach for predicting the popularity of books before publication using the text of books as the primary data source. We investigate the connection between two independent data sets and a book's popularity. The first one is the various textual features of book manuscripts, and the second is the metadata of the book, like the topic, the genre, and the author. To validate the proposed approach, we have used a large data set of published books and their corresponding ratings and rankings. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Music implication and suggestion system using emotion detection.

Author

Shrivastava, Suryansh, Srivastava, Kartik Kumar, and Poornima, S.

Subjects
FACIAL expression & emotions (Psychology), MOOD (Psychology), EMOTIONS, FACIAL expression, MULTIPLE Signal Classification, BIRDSONGS
Abstract

A recommendation system is the building block of massive enormous systems that use specific recommender algorithms to recommend a single item or a group of items to users based on such forecasts. In this instance, a Music. People often get confused while having to choose from a wide range of collection of songs. There are many algorithms available for music, dining, shopping, to solve this problem. The goal of this algorithm is to provide appropriate recommendations to the users based on personalized preferences and current mood. The algorithm will also analyse the current emotion of the user. Analysis of facial expressions of the user will help the algorithm to suggest the music accurately based on what the user wants to hear at the time. Music recommendations have a wide scope to suggest content to the user based on their inclination, recorded liking and current mental state. Humans make use of their facial expressions more than anything else to express their thoughts and emotions. Many users agree to the fact that often they are unable to figure out which content to listen because of the vast data present around. Developing such algorithm that would help the user decide which song to listen will help lower the stress level. The user will not have to search for songs, since the algorithm would automatically choose the best matching songs based on the state of mind of the user. The algorithm would also curate playlist based on the liking and emotion of the user, thereby saving the time and efforts of the user to find a playlist by themselves. Here, user reliant and user independent datasets can be created, and face emotions can be recorded using an integrated camera. [ABSTRACT FROM AUTHOR]

Published
2024
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43. A deep lobe parotid tumor tending the facial nerve and its branches

Author

Nisha Muruganidhi, Mariappan Rajagopal, Santhanakrishnan Kaliavaradan, and Poornima S Bhat

Subjects
benign tumor, deep lobe, facial nerve, parotid, pleomorphic adenoma, salivary gland, Therapeutics. Pharmacology, RM1-950
Abstract

Benign tumors of major salivary glands commonly affect the parotid gland and it is rare when the tumor exclusively involves the deep lobe of the gland. The mainstay of treatment is surgical excision. Parotid surgeries carry a formidable risk of injury to the facial nerve. Hence, identification of extracranial part of facial nerve using many of its anatomical landmarks helps in preventing this daunting complication. There are instances where the facial nerve's morphometry is altered due to the location and extent of the tumor. A better knowledge of the anatomy and anticipation for these variations can result in a better outcome limiting the complications of the surgery.

Published
2022
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