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Your search keyword '"Priya, R. Vishnu"' showing total 27 results
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27 results on '"Priya, R. Vishnu"'

2. Emotional Intelligence Through Artificial Intelligence : NLP and Deep Learning in the Analysis of Healthcare Texts

Author

Nag, Prashant Kumar, Bhagat, Amit, Priya, R. Vishnu, and Khare, Deepak kumar

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing
Abstract

This manuscript presents a methodical examination of the utilization of Artificial Intelligence in the assessment of emotions in texts related to healthcare, with a particular focus on the incorporation of Natural Language Processing and deep learning technologies. We scrutinize numerous research studies that employ AI to augment sentiment analysis, categorize emotions, and forecast patient outcomes based on textual information derived from clinical narratives, patient feedback on medications, and online health discussions. The review demonstrates noteworthy progress in the precision of algorithms used for sentiment classification, the prognostic capabilities of AI models for neurodegenerative diseases, and the creation of AI-powered systems that offer support in clinical decision-making. Remarkably, the utilization of AI applications has exhibited an enhancement in personalized therapy plans by integrating patient sentiment and contributing to the early identification of mental health disorders. There persist challenges, which encompass ensuring the ethical application of AI, safeguarding patient confidentiality, and addressing potential biases in algorithmic procedures. Nevertheless, the potential of AI to revolutionize healthcare practices is unmistakable, offering a future where healthcare is not only more knowledgeable and efficient but also more empathetic and centered around the needs of patients. This investigation underscores the transformative influence of AI on healthcare, delivering a comprehensive comprehension of its role in examining emotional content in healthcare texts and highlighting the trajectory towards a more compassionate approach to patient care. The findings advocate for a harmonious synergy between AI's analytical capabilities and the human aspects of healthcare.

Published
2024
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9. Frequent Pattern Mining Using Modified CP-Tree for Knowledge Discovery

Author

Priya, R . Vishnu, Vadivel, A., Thakur, R. S., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Cao, Longbing, editor, Feng, Yong, editor, and Zhong, Jiang, editor

Published
2010
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10. Extraction of Bamboo Fibers by Chemical Techniques

Author

Priya, R. Vishnu, Kumar, S. Nithish, Dutta, Sudev, Priya, R. Vishnu, Kumar, S. Nithish, and Dutta, Sudev

Abstract

Due to growing environmental concerns and rapid depletion of non-renewable resources, researchers are looking to replace older non-renewable materials with sustainable and environmentally friendly materials that can be recycled or biodegraded. Bamboo fiber is a popular alternative to natural plant fibers due to its many advantages such as low cost, low density, environmental friendliness, sustainability and biodegradability. Compared to synthetic fibers, plant fiber extraction was inherently laborious. Due to their similar mechanical properties, bamboo fiber is a strong contender to replace glass, carbon and other synthetic fibers in natural fiber reinforced polymer composites. Extracted fibers should be produced with long fibers, of suitable quality, and with little or no damage during extraction. The properties of bamboo fiber and bamboo fiber reinforced polymer composites are influenced by many factors, including fiber extraction method, moisture content, fiber size, temperature and length. The purpose of this research is to develop mechanical extraction, steam blasting and other bamboo fiber extraction methods for alkali treatment. Mechanical properties (tensile strength, maximum elongation at break, modulus) of bamboo fibers and their microstructure were measured. Researchers are currently working on the mechanism of the fiber separation process that mechanically enhances fiber performance and should still need improvement and modification, albeit morphologically. Although most fiber extraction studies have been published, the process of creating fibers and improving their quality has also introduced deficiencies in their attributes and properties.

Published
2022

17. A novel geometric fuzzy membership functions for mouth and eye brows to recognize emotions.

Author

Priya, R. Vishnu and Bharat, Rawal

Subjects
EMOTIONS, EYEBROWS, FUZZY numbers, GEOMETRIC shapes, QUADRILATERALS, EMOTION recognition, FUZZY sets, MEMBERSHIP functions (Fuzzy logic)
Abstract

Summary: In this article, the novel geometrical fuzzy membership functions are proposed to accurately recognize the emotions. The four corner features are taken from both the eyebrows and mouth regions of the expressive static image without considering reference face. The quadrilateral shape is defined from the features and it failed to match with the basic geometric shapes. This quadrilateral is given to the proposed novel fuzzy membership functions to calculate the degree of impreciseness and vagueness exists in the defined quadrilateral. As the result, the 12 fuzzy features are obtained and evaluated by the various classifiers. Both CK and JAFFE datasets are used in the experiment to prove the performance of the proposed method compared to some of the recent methods. It is observed the proposed method gives the highest accuracy rate of 98.4% and 99.15% against contemporary methods. The proposed work achieves the statistical measures of 97.8% of sensitivity, 99.2% of specificity, 97.9% of positive predictive value, and 97.8% of F‐measure. Moreover, the proposed work achieves encouraging results compared to the recent Google API using publicly available datasets. This achievement is due to the fact of exactly identified the impreciseness and vagueness in the defined quadrilateral. The proposed approach avoids reference face and uses the least number of fuzzy features compared to state‐of‐the‐art approaches that reduces the pre‐processing, computational, and learning times. [ABSTRACT FROM AUTHOR]

Published
2021
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27. ( E )-5-(4-Methyl-benzyl-idene)-1-phenyl-4,5,6,7-tetra-hydro-1 H -indazol-4-one.

Author

Meenatchi CS, Athimoolam S, Suresh J, Priya RV, Rubina SR, and Bhandari SR

Abstract

In the title compound, C 21 H 18 N 2 O, the non-aromatic six-membered ring adopts a distorted envelope conformation with one of the methyl-ene-C atoms being the flap atom. The dihedral angle between the phenyl and 4-tolyl rings is 75.3 (1)°. The 1,2-diazole ring forms dihedral angles of 41.9 (1) and 65.5 (1)° with the phenyl and 4-tolyl rings, respectively. In the crystal, stabilizing C-H⋯O, C-H⋯π and π-π inter-actions are evident. The calculated Hirshfeld surfaces highlight the prominent role of C-H⋯O inter-actions (8.6%), along with H⋯H (51.7%) and C⋯H/H⋯C (29.2%) surface contacts., (© Meenatchi et al. 2022.)

Published
2022
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