367
20
16481
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Sethurajan, Monikka Reshmi; K, Natarajan
Title
A name given to the resource
FC-Kit: an intelligent fact-checking system for preventing fake news spread in social media through active plugins
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Journal of Cyber Security Technology;
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1080/23742917.2025.2572160" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/23742917.2025.2572160</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018963858?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018963858?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Sethurajan M.R., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Bengaluru, India; K N., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Bengaluru, India
Description
An account of the resource
The rapid expansion of social media has intensified the spread of misinformation, threatening public trust, informed decision-making and societal stability. This paper introduces the Fact-Checking Kit (FC-Kit), a plugin-based, real-time misinformation detection framework designed for seamless integration into social media platforms. At its core, the system employs the proposed CanineNet News Sentinel (CnNS) model, which incorporates advanced algorithms for detecting fake news while also assessing bias indicators, identifying clickbait headlines, detecting poor text framing and calculating an article credibility rate. Experimental evaluations on benchmark datasets Twitter and Twitch demonstrate that FC-Kit achieves 99% detection accuracy and reduces computational time by 41.4% compared to state-of-the-art methods. Unlike conventional fact-checking systems, FC-Kit actively tracks the news dissemination chain, enabling early intervention before misinformation gains traction. Its modular plugin architecture supports real-time analysis, ensuring media literacy promotion and fostering critical thinking among users. By combining content credibility scoring with advanced detection features, FC-Kit offers a scalable and practical solution for social media platforms, fact-checking organizations and researchers committed to combating online misinformation. This work advances the state-of-the-art in misinformation detection and emphasizes the necessity of embedding automated fact-checking tools directly into social media platforms. 2025 Informa UK Limited, trading as Taylor & Francis Group.
Subject
The topic of the resource
CanineNet News Sentinel; deep learning; fact-checking; fake news detection; misinformation; Natural Language Processing (NLP); social media
Publisher
An entity responsible for making the resource available
Taylor and Francis Ltd.
Relation
A related resource
ISSN: 23742917;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
Format
The file format, physical medium, or dimensions of the resource
online
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Sethurajan, Monikka Reshmi; K, Natarajan
Title
A name given to the resource
FC-Kit: an intelligent fact-checking system for preventing fake news spread in social media through active plugins
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Journal of Cyber Security Technology;
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1080/23742917.2025.2572160" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/23742917.2025.2572160</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018963858?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018963858?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Sethurajan M.R., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Bengaluru, India; K N., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Bengaluru, India
Description
An account of the resource
The rapid expansion of social media has intensified the spread of misinformation, threatening public trust, informed decision-making and societal stability. This paper introduces the Fact-Checking Kit (FC-Kit), a plugin-based, real-time misinformation detection framework designed for seamless integration into social media platforms. At its core, the system employs the proposed CanineNet News Sentinel (CnNS) model, which incorporates advanced algorithms for detecting fake news while also assessing bias indicators, identifying clickbait headlines, detecting poor text framing and calculating an article credibility rate. Experimental evaluations on benchmark datasets Twitter and Twitch demonstrate that FC-Kit achieves 99% detection accuracy and reduces computational time by 41.4% compared to state-of-the-art methods. Unlike conventional fact-checking systems, FC-Kit actively tracks the news dissemination chain, enabling early intervention before misinformation gains traction. Its modular plugin architecture supports real-time analysis, ensuring media literacy promotion and fostering critical thinking among users. By combining content credibility scoring with advanced detection features, FC-Kit offers a scalable and practical solution for social media platforms, fact-checking organizations and researchers committed to combating online misinformation. This work advances the state-of-the-art in misinformation detection and emphasizes the necessity of embedding automated fact-checking tools directly into social media platforms. 2025 Informa UK Limited, trading as Taylor & Francis Group.
Subject
The topic of the resource
CanineNet News Sentinel; deep learning; fact-checking; fake news detection; misinformation; Natural Language Processing (NLP); social media
Publisher
An entity responsible for making the resource available
Taylor and Francis Ltd.
Relation
A related resource
ISSN: 23742917;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
Format
The file format, physical medium, or dimensions of the resource
online
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
FDI in Developing Nations: Unveiling Trends, Determinants and Best Practices for India
Subject
The topic of the resource
determinants; developing countries; foreign direct investment; p-ardl
Description
An account of the resource
In the recent UNCTAD World Investment Report 2023, China has the highest FDI inflows among the developing countries, following Brazil, India, Mexico, and Indonesia. These five developing countries attracted more FDI inflows in the year 2022. However, among these five countries, China and the other four countries have a lot of differences in FDI inflows. So, this study investigates the factors helping China get more FDI inflows by analyzing the trends and determinants of FDI inflows. The study also compares all the selected countries to suggest the best practices India can adopt to enhance its FDI attractiveness. So, the study considered economic indicators like GDP, infrastructure, trade openness, and natural resources. Further, panel data analysis was used to investigate the determinants influencing FDI inflows, utilizing the Panel Autoregressive Distributed Lag (P-ARDL) model for the data from 1990 to 2022. The findings showed that trade openness, market size, and quality of infrastructure explain the attraction of FDI inflows in selected countries in the long run. Thus, it is important to implement policies that encourage international collaboration by raising trade, lowering corporate expenses, and making infrastructural investments. India's availability of a large consumer market, developed infrastructure, and government initiatives like 'Make in India,' and "Skill India"have pulled major FDI inflows. India should prioritize manufacturing, IT, and healthcare while improving infrastructure and streamlining regulations. 2024 IEEE.
Creator
An entity primarily responsible for making the resource
Pullipati G.; Hussain A.; Gunavathi R.
Source
A related resource from which the described resource is derived
2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/ICEECT61758.2024.10738880" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEECT61758.2024.10738880</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211154801&doi=10.1109%2FICEECT61758.2024.10738880&partnerID=40&md5=70b7c562f4347e49387ab3102b53ef4e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211154801&doi=10.1109%2fICEECT61758.2024.10738880&partnerID=40&md5=70b7c562f4347e49387ab3102b53ef4e</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-835037809-2
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pullipati G., Christ (Deemed to be University), Dept of Data Science, Lavasa, Pune, India; Hussain A., Christ (Deemed to be University), Dept of Data Science, Lavasa, Pune, India; Gunavathi R., Christ (Deemed to be University), Dept of Data Science, Lavasa, Pune, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Veerabhadraiah, Srikanth R.; Soman, Gowri; Bhat, Sachin A.; Sharma, Rohit K.; Thimmappa, Ravikumar; Mirle, Chinmaya; Hegde, Gurumurthy; Yelamaggad, C.V.; Naik, Nagaraja
Title
A name given to the resource
Fe doped ZnO nanomaterials for energy storage applications as high-capacitance supercapacitor electrodes
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2026
Source
A related resource from which the described resource is derived
RSC Advances;Volume;16;Issue;27;pp.24997-25010
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1039/d6ra02336c" target="_blank" rel="noreferrer noopener">https://doi.org/10.1039/d6ra02336c</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105038651416?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038651416?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Veerabhadraiah S.R., Department of Studies in Chemistry, Manasagangotri, University of Mysore, Mysuru, 570006, India; Soman G., Department of Chemistry, Christ University, Hosur Road, Bengaluru, 560029, India; Bhat S.A., Centre for Nano and Soft Matter Sciences, Bengaluru, 562162, India; Sharma R.K., Centre for Nano and Soft Matter Sciences, Bengaluru, 562162, India; Thimmappa R., Department of Energy Science and E-Mobility, Atria University, Bengaluru, 560024, India; Mirle C., Institute of Organic and Macromolecular Chemistry, Ulm University, Albert-Einstein-Allee11, Ulm, 89081, Germany; Hegde G., Department of Chemistry, Christ University, Hosur Road, Bengaluru, 560029, India, Department of Chemistry, B. N. M. Institute of Technology, Banashankari, Karnataka, Bengaluru, 560070, India; Yelamaggad C.V., Centre for Nano and Soft Matter Sciences, Bengaluru, 562162, India; Naik N., Department of Studies in Chemistry, Manasagangotri, University of Mysore, Mysuru, 570006, India
Description
An account of the resource
Enhancing the performance of electrode materials is essential for developing high-capacitance supercapacitors, and transition-metal-doped metal oxides have shown particular promise in this regard. In this work, Fe-doped ZnO nanostructures were synthesized using a sonochemical method and systematically examined through XRD, SEM, TEM, XPS and UVvis analyses to verify Fe incorporation and the resulting changes in crystallinity, morphology and optical behaviour. The structural modifications induced by Fe were evident in the electrochemical response, with the optimized ZnOFe sample delivering a specific capacitance of 11.4 F g?1 at 0.1 A g?1 in the two-electrode system and 462 F g?1 in the three-electrode system, both measured in 3 M KOH electrolyte. A CR2032 coin cell assembled with this material achieved an energy density of 1.6 Wh kg?1 and a power density of 2890.93 W kg?1, demonstrating an effective balance between energy storage and power output. These findings highlight the suitability of Fe-doped ZnO as a tunable electrode material and support its further exploration in advanced supercapacitor systems. This journal is The Royal Society of Chemistry, 2026.
Publisher
An entity responsible for making the resource available
Royal Society of Chemistry
Relation
A related resource
ISSN: 20462069; CODEN: RSCAC
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access; Green Open Access
Format
The file format, physical medium, or dimensions of the resource
online
-
https://archives.christuniversity.in/files/original/55c458886067e6ec4da46a86169c1fce.jpg
683f939207ba204859c80f30931e1b03
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Fear estimation evidence from BRICS and UK /
Subject
The topic of the resource
Management
Description
An account of the resource
International Journal Of Applied Business And Economic Research, Vol.15(4), pp.195-207, ISSN: 0972-7302.
Creator
An entity primarily responsible for making the resource
Ghosh, Bikramaditya., Roux, Corlise Le., Ianole, Rodica.
Source
A related resource from which the described resource is derived
<a href="https://serialsjournals.com/abstract/11233_ch_16_f_-_bikramaditya_ghosh.pdf" target="_blank" title="Fear estimation evidence from BRICS and UK" rel="noreferrer noopener">https://serialsjournals.com/abstract/11233_ch_16_f_-_bikramaditya_ghosh.pdf</a>
Publisher
An entity responsible for making the resource available
Serials Publications
Date
A point or period of time associated with an event in the lifecycle of the resource
2017-04-12
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Fear estimation-evidence from BRICS and UK
Subject
The topic of the resource
Fear Gauge; Generalized Method of Moments; Reverse Anchoring; VIX
Description
An account of the resource
The paper aims to build a composite Fear Index for the BRICS countries and UK by adding new dimensions to the initial structure, such as overbought/oversold conditions and commodity impacts. The main purpose is to identify the degree in which fear really percolates down to all the market participants, respectively if this generates a certain asset transfer to Gold. The results point out the GMM model as the best fit for explaining the link between the Fear Index and the behaviour of market participants. It also confirms the transfer of assets to a safer asset class during the phases of high volatility on the market. Serials Publications Pvt. Ltd.
Creator
An entity primarily responsible for making the resource
Ghosh B.; Le Roux C.; Ianole R.
Source
A related resource from which the described resource is derived
International Journal of Applied Business and Economic Research, Vol-15, No. 4, pp. 195-207.
Publisher
An entity responsible for making the resource available
Serials Publications
Date
A point or period of time associated with an event in the lifecycle of the resource
2017-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016334081&partnerID=40&md5=49e81cbcf4793ca46ab786104359621e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016334081&partnerID=40&md5=49e81cbcf4793ca46ab786104359621e</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 9727302
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Ghosh B., Institute of Management, Christ University, India; Le Roux C., University of Johannesburg, South Africa; Ianole R., University of Bucharest, Romania
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Fear of COVID-19, workplace phobia, workplace deviance and perceived organizational support: A moderated mediation model
Subject
The topic of the resource
fear of COVID-19; moderated mediation model; perceived organizational support; workplace deviance; workplace phobia
Description
An account of the resource
This paper aims to test a moderated-mediation model examining therelationships between Fear of COVID-19, workplace phobia, work deviance behaviourand perceived organizational support among hotel employees. An online questionnaire was administered to collect data, to which 481 responded. Data was collected from full-time frontline employees working in the Maldivian hospitality industry. The moderated-mediation model explained 44% of the variance in workplace deviance behaviourscan be predicted bythe fear of COVID-19, perceived organisational support and workplace phobia. The findingsshowthat perceived organizational support reduces the negative impact of COVID-19 fear on workplace phobia and deviance. Results suggest that to reduce the negative effect of the pandemic, organisations should adopt support measures across different managerial levels at different scales rather than providing one-size-fits-all solutions. 2023 The Authors. Stress and Health published by John Wiley & Sons Ltd.
Creator
An entity primarily responsible for making the resource
Alagarsamy S.; Mehrolia S.; Mathew J.
Source
A related resource from which the described resource is derived
Stress and Health, Vol-40, No. 1
Publisher
An entity responsible for making the resource available
John Wiley and Sons Ltd
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1002/smi.3289" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/smi.3289</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164567938&doi=10.1002%2Fsmi.3289&partnerID=40&md5=f86c6e72f412469e90616529bc409268" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164567938&doi=10.1002%2fsmi.3289&partnerID=40&md5=f86c6e72f412469e90616529bc409268</a>
Rights
Information about rights held in and over the resource
All Open Access; Hybrid Gold Open Access
Relation
A related resource
ISSN: 15323005; PubMed ID: 37427668; CODEN: SHTEB
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Alagarsamy S., School of Business, Manipal Academy of Higher Education, Dubai, United Arab Emirates; Mehrolia S., School of Business and Management, Christ (Deemed to be University), Bangalore, India; Mathew J., School of Business and Management, Christ (Deemed to be University), Bangalore, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Ghosal, Akashdeep; Chukkali, Surekha; Mukherjee, Oindrila; Sahni, Aishwin
Title
A name given to the resource
Fear of Missing Out and Aggression: Role of Fatigue, Daytime Sleepiness and Self-regulationA Serial Mediation Model
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2026
Source
A related resource from which the described resource is derived
Annals of Neurosciences;
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1177/09727531251404762" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/09727531251404762</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105027641853?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027641853?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Ghosal A., School of Psychological Sciences, CHRIST (Deemed to be University), Delhi NCR Campus, Uttar Pradesh, Ghaziabad, India; Chukkali S., School of Psychological Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Mukherjee O., School of Psychological Sciences, CHRIST (Deemed to be University), Delhi NCR Campus, Uttar Pradesh, Ghaziabad, India; Sahni A., School of Psychological Sciences, CHRIST (Deemed to be University), Delhi NCR Campus, Uttar Pradesh, Ghaziabad, India
Description
An account of the resource
Background: Fear of missing out (FOMO) is a recent psychological phenomenon and has been constantly linked with aggression, disturbed sleeping habits and deficits in self-regulatory skills. It is important to understand the mechanism through which FOMO influences sleepiness, self-regulation and aggression. Purpose: The objective of the study was to investigate the relationship between FOMO and aggression in young adults and examine the mediating roles of fatigue, daytime sleepiness and self-regulation in the relationship between FOMO and aggression. Method: A cross-sectional correlational research design was employed to collect data from 455 young adults aged 1824 years (M = 20.71; SD = 1.61). Data were collected through standardised self-report measures. The obtained data were analysed using the Statistical Package for the Social Sciences v23, and sequential mediation analysis using AMOS v22. Results: Findings indicated significant relationships between FOMO and the outcome variables like aggression, daytime sleepiness and self-regulation. However, no significant relationship was found between FOMO and fatigue; therefore, fatigue was not considered for further analysis. Sequential mediation analysis revealed that elevated levels of FOMO predicted lower daytime sleepiness (? = 0.26, p < .001), which in turn predicted low self-regulation (? = 0.39, p < .001) and consequently led to elevated levels of aggression (? = 0.26, p < .001). The indirect route (FOMO ? sleepiness ? self-regulation ? aggression) was statistically significant with excellent model fit (?2(2) = 3.86, RMSEA = 0.02, CFI = 0.99, SRMR = 0.01). Conclusion: The study indicates a full sequential mediation: greater FOMO levels reduce daytime sleepiness, possibly due to heightened arousal, which in turn leads to poor self-regulatory skills and increased aggression. It can be concluded that psychological interventions to improve self-regulation can help manage aggression in people with high levels of FOMO. The Author(s) 2026. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Subject
The topic of the resource
aggression; Fear of missing out; mediation; self-regulation; sleep
Publisher
An entity responsible for making the resource available
SAGE Publications Inc.
Relation
A related resource
ISSN: 9727531;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access; Green Open Access
Format
The file format, physical medium, or dimensions of the resource
online
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Ghosal, Akashdeep; Chukkali, Surekha; Mukherjee, Oindrila; Krishnamurthy, Vardhini
Title
A name given to the resource
Fear of Missing Out and Executive Functions: The Role of Self-regulation as a Mediator
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2026
Source
A related resource from which the described resource is derived
Annals of Neurosciences;
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1177/09727531261429764" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/09727531261429764</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105033804218?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105033804218?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Ghosal A., School of Psychological Sciences, CHRIST (Deemed to be University), Delhi NCR Campus, Uttar Pradesh, Ghaziabad, India; Chukkali S., School of Psychological Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Mukherjee O., School of Psychological Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Krishnamurthy V., School of Psychological Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
Description
An account of the resource
Background: The fear of missing out (FoMO) is characterised by constant worry about missing out on rewarding experiences. However, the worry arising from FoMO affects both self-regulation and executive functioning. Purpose: The main purpose of the study was to explore the relationship between FoMO and executive functioning, keeping self-regulation as the mediating variable. Methods: A cross-sectional correlational design was used. The sample size was 455 university students with an age range of 1824 years. The Fear of Missing Out Scale, Short Self-Regulation Questionnaire and Executive Skills Questionnaire were used. Regression analysis was done using Statistical Package for the Social Sciences v26, and mediation analysis results were obtained through PROCESS Macro (Model 4). Results: Regression results pointed out that FoMO explained 18% of variance in executive functioning (? = 0.43, p < .001) and 16% of variance in self-regulation (? = 0.39, p < .001). Higher FoMO was related to poorer self-regulation and executive functions. Mediation analysis revealed that self-regulation partially mediated the FoMOexecutive functioning relationship, with significant indirect effects (B = 0.66, SE = 0.07, 95% CI [0.83, 0.52]) and direct effects (B = 0.83, SE = 0.13, 95% CI [1.10, 0.56]). Conclusion: FoMO negatively affects both self-regulation and executive functions, with self-regulation acting as a significant mediator through both direct and indirect pathways. These findings suggest the need for building self-regulatory skills to protect oneself from FoMOs negative effects. The Author(s) 2026. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Subject
The topic of the resource
executive functioning; fear of missing out; mediation study; self-control; Social media
Publisher
An entity responsible for making the resource available
SAGE Publications Inc.
Relation
A related resource
ISSN: 9727531;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access; Green Open Access
Format
The file format, physical medium, or dimensions of the resource
online
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Feature Based Fuzzy Framework for Sentimental Analysis of Web Data
Subject
The topic of the resource
Feature Based; Fuzzy Framework; Opinion mining; POS tagging; Score Count; Sentimental Analysis
Description
An account of the resource
Social mass media has emerged as a projectile platform for the evolution of web data. The sentimental Analysis where the huge textual online reviews are analyzed to extract the actual sentiment or emotions hidden in the reviews. In this paper an effective approach for sentimental analysis of web data is proposed which deploys the fuzzy based machine learning algorithm to accomplish fine-level sentiment analysis of huge online opinions by assimilating the fuzzy linguistic hedges influence on opinion descriptors. The seven layered categories are designed that uses SentiWordNet which has three stages: Pre-processing phase, Feature Selection Phase and Fuzzy based Sentiment Analysis phase. Various machine learning algorithms like AdaBoost, (IBK) K-Nearest Neighbour, (NB) Nae Bayes and (SVM)/SMO Support Vector Machine are used for classification. Jsoup is implemented for gathering web opinions which are subjected to initial processing task later applied with stemming and tagging. This fuzzy based methodology is investigated for Mobile, Laptops dataset, also compared with state-of-the-art approaches which demonstrate upper indication of 94.37% accurateness through Kappa indicators showcasing lesser error rates. The investigational outcomes are tested on training data using Ten-Fold cross validation which concludes that this approach can be efficaciously used in Sentimental analysis as an aid for online decision. 2019 IEEE.
Creator
An entity primarily responsible for making the resource
Ahamed S.; Danti A.; Raghavendra S.P.
Source
A related resource from which the described resource is derived
2019 International Conference on Data Science and Communication, IconDSC 2019
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2019-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/IconDSC.2019.8816997" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IconDSC.2019.8816997</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072762917&doi=10.1109%2FIconDSC.2019.8816997&partnerID=40&md5=4d2e323a9f6da2d68cdc67b5a0f96d07" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072762917&doi=10.1109%2fIconDSC.2019.8816997&partnerID=40&md5=4d2e323a9f6da2d68cdc67b5a0f96d07</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-153869319-3
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Ahamed S., Department of Computer Science, Government First Grade College, Soraba(T), Shimoga(D), Karnataka, India; Danti A., Dept. of Computer Science and Engg, Christ, Deemed to be University, Bangalore, Karnataka, India; Raghavendra S.P., Dept. of Computer Applications, J N N College of Engineering, Shimoga, Karnataka, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Najmusseher; Banu, Nizar P.K.
Title
A name given to the resource
Feature Engineering for Epileptic Seizure Classification Using SeqBoostNet
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
International Journal of Computing and Digital Systems;Volume;17;Issue;1;
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.12785/ijcds/1571020131" target="_blank" rel="noreferrer noopener">https://doi.org/10.12785/ijcds/1571020131</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85217538815?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85217538815?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Najmusseher, Department, of Computer Science, CHRIST (Deemed to be University), Central Campus, Bangalore, 560029, India; Banu N.P.K., Department, of Computer Science, CHRIST (Deemed to be University), Central Campus, Bangalore, 560029, India
Description
An account of the resource
Epileptic seizure, a severe neurological condition, profoundly impacts patients social lives, necessitating precise diagnosis for classification and prediction. This study addresses the need for reliable automated seizure detection in epilepsy by employing Artificial Intelligence (AI) driven analysis of Electroencephalography (EEG) signals. Key innovations include combining spectral and temporal features using Uniform Manifold Approximation and Projection (UMAP) with Fast Fourier Transformation (FFT), and the introduction of the Sequential Boosting Network (SeqBoostNet), a robust stacking model integrating machine learning and deep learning for effective seizure classification. Validated on benchmark datasets such as the BONN dataset from the UCI repository and the BEED from the Bangalore EEG Epilepsy Dataset, this approach achieved high accuracy, distinguishing Focal and Generalized seizure onsets with 95.91% accuracy and overall average accuracies of 96.71% on BEED and 97.11% on BONN. Existing models frequently struggle with the variability of seizure events. However, these findings underscore the models strength in distinguishing between seizure onset types, even with the inherent fluctuations in seizure patterns. This research not only advances automated seizure detection but also underscores the value of integrating AI with EEG analysis to improve neurological diagnostics, offering the potential for significant enhancements in diagnostic accuracy and patient outcomes. 2025 University of Bahrain. All rights reserved.
Subject
The topic of the resource
AdaBoost; Deep Learning; Epileptic Seizure; FFT; LSTM; Machine Learning; UMAP
Publisher
An entity responsible for making the resource available
University of Bahrain
Relation
A related resource
ISSN: 2210142X;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access
Format
The file format, physical medium, or dimensions of the resource
online
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Reviews
Review
Faculty Publications- Reviews
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Feature extraction and classification techniques of modi script character recognition
Subject
The topic of the resource
Classification techniques; Feature extraction techniques; Handwritten character recognition; MODI script OCR; Offline character recognition survey
Description
An account of the resource
Machine simulation of human reading has caught the attention of computer science researchers since the introduction of digital computers. Character recognition is the process of recognizing either printed or handwritten text from document images and converting it into machine-readable form. Character recognition is successfully implemented for various foreign language scripts like English, Chinese and Latin. In the case of Indian language scripts, the character recognition process is comparatively difficult due to the complex nature of scripts. MODI script-an ancient Indian script, is the shorthand form for the Devanagari script in which Marathi was written. Though at present, the script is not used officially, it has historical importance. MODI character recognition is a very complex task due to its variations in the writing style of individuals, shape similarity of characters and the absence of word stopping symbol in documents. The advances in various machine learning techniques have greatly contributed to the success of various character recognition processes. The proposed work provides an overview of various feature extraction and classification techniques used in the recognition of MODI script till date and also provides evaluation and comparison of these techniques. 2019, Universiti Putra Malaysia Press. All rights reserved.
Creator
An entity primarily responsible for making the resource
Joseph S.; George J.
Source
A related resource from which the described resource is derived
Pertanika Journal of Science and Technology, Vol-27, No. 4, pp. 1649-1669.
Publisher
An entity responsible for making the resource available
Universiti Putra Malaysia Press
Date
A point or period of time associated with an event in the lifecycle of the resource
2019-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074073081&partnerID=40&md5=8fd15559d347ad513b73d65a4b6285ad" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074073081&partnerID=40&md5=8fd15559d347ad513b73d65a4b6285ad</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 1287680
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Review
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Joseph S., Department of Computer Science Christ (Deemed to be University), Bangalore, 560029, Karnataka, India, Carmel College of Arts, Science and Commerce for Women, Goa, 403713, India; George J., Department of Computer Science Christ (Deemed to be University), Bangalore, 560029, Karnataka, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Feature extraction and diagnosis of dementia using magnetic resonance imaging
Subject
The topic of the resource
Confusion matrix; Dementia; Extraction techniques; Magnetic resonance imaging
Description
An account of the resource
Dementia is a state of mind in which the sufferer tends to forget important data like memories, language, etc.. This is caused due to the brain cells that are damaged. The damaged brain cells and the intensity of the damage can be detected by using Magnetic Resonance Imaging. In this process, two extraction techniques, Gray Level Co-Occurrence Matrix (GLCM) and the Gray Level Run-Length matrix (GLRM), are used for the clear extraction of data from the image of the brain. Then the data obtained from the extraction techniques are further analyzed using four machine learning classifiers named Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Random Forest (RF), and the combination of two classifiers (SVM+KNN). The results are further analyzed using a confusion matrix to find accuracy, precision, TPR/FPR - True and False Positive Rate, and TNR/FNR - True and False Negative Rate. The maximum accuracy of 93.53% is obtained using the GLRM Feature Extraction (FE) technique with the combination of the SVM and KNN algorithm. 2023, Bentham Books imprint. All rights reserved.
Creator
An entity primarily responsible for making the resource
Gupta P.; Kumar N.; Ajad; Arulkumar N.; Subramanian M.
Source
A related resource from which the described resource is derived
AI and IoT-based intelligent Health Care & Sanitation, pp. 159-175.
Publisher
An entity responsible for making the resource available
Bentham Science Publishers
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.2174/9789815136531123010013" target="_blank" rel="noreferrer noopener">https://doi.org/10.2174/9789815136531123010013</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205277068&doi=10.2174%2F9789815136531123010013&partnerID=40&md5=d4e087b3fabfe2067f97e33751984499" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205277068&doi=10.2174%2f9789815136531123010013&partnerID=40&md5=d4e087b3fabfe2067f97e33751984499</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-981513653-1; 978-981513654-8
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Gupta P., Department of Computer Science and Engineering, GITAM School of Technology, Visakhapatnam, 530045, India; Kumar N., Department of Electronics and Communication Engineering, S J C Institute of Technology, Chickballapur, 562101, India; Ajad, Department of Electronics and Communication Engineering, S J C Institute of Technology, Chickballapur, 562101, India; Arulkumar N., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Subramanian M., SRM Institute of Science & Technology, Trichy, 621105, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Nanjundan, Preethi; Deokar, Ruchira; George, Jossy; Eslamian, Saeid
Title
A name given to the resource
Feature extraction and fusion techniques for multimodal data
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Multimodal Learning Using Heterogeneous Data;pp.43-56
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1016/B978-0-443-27528-9.00013-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-27528-9.00013-9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032963774?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032963774?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Nanjundan P., Department of Data Science, CHRIST University, Lavasa Campus, Maharashtra, Pune, India; Deokar R., Department of Data Science, CHRIST University, Karnataka, Bengaluru, India; George J., Department of Computer Science, CHRIST University, Karnataka, Bengaluru, India; Eslamian S., Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran
Description
An account of the resource
Integrating multimodal information has become crucial in the big data era for developing a thorough knowledge of complex systems and enhancing decision-making in a variety of fields. The importance of feature extraction and fusion strategies in multimodal learning is examined in this chapter, with particular attention paid to the difficulties and approaches involved in merging several data modalities, including text, pictures, audio, and sensor data. It talks about how conventional feature extraction approaches have evolved into more sophisticated ones like deep learning models for picture and audio data and neural embeddings for text. The chapter also explores several fusion tactics, such as early, late, and intermediate fusion, and focuses on how they are used in domains including sentiment analysis, autonomous cars, healthcare, and multimodal search engines. The chapter highlights future directions, such as lightweight architectures and privacy-preserving techniques, while also addressing contemporary issues, such as managing missing data, scalability, and privacy concerns. The chapter provides a thorough grasp of how feature extraction and fusion aid in the creation of multimodal systems that are more precise, effective, and interpretable by looking at these factors. 2026 Elsevier Inc. All rights reserved.
Subject
The topic of the resource
autonomous vehicles; deep learning; feature extraction; feature fusion; healthcare applications; multimodal data; Multimodal learning; neural embeddings; privacy-preserving methods; sensor data
Publisher
An entity responsible for making the resource available
Elsevier
Relation
A related resource
ISBN: 978-044327528-9; 978-044327529-6;
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Feature Extraction for Collaborative Filtering: A Genetic Programming Approach
Subject
The topic of the resource
Computer Science
Description
An account of the resource
International Journal of Computer Science Issues, Vol. 9, Issue, 5, No. 1, pp. 348-354, ISSN No. 1694-0814
Creator
An entity primarily responsible for making the resource
Deepa Anand
Publisher
An entity responsible for making the resource available
International Journal of Computer Science Issues
Date
A point or period of time associated with an event in the lifecycle of the resource
2012
Language
A language of the resource
English
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Feature extraction of clothing texture patterns for classification
Subject
The topic of the resource
classification; Feature descriptors; Radon transform variance; statistical analysis; Support Vector Machine; texture
Description
An account of the resource
Different features are extracted for Pattern Recognition using an efficient algorithms like Scale Invariant Feature Transform, Rotation invariant Radon Transform and extracting statistical features of a texture image. Support vector machine with RBF kernel in Weka is used in this paper for classification. This paper shows method to classify the clothing texture patterns like strips, plaid, pattern less and irregular pattern. This paper also proposes a method which can be efficient method to apply for the real time natural texture patterns and colors recognition systems. This paper gives the experiments results and the proposed method to enhance the experiments accuracy in future scope. 2015 IEEE.
Creator
An entity primarily responsible for making the resource
Chaitra G.N.; Khare N.
Source
A related resource from which the described resource is derived
Recent and Emerging Trends in Computer and Computational Sciences, RETCOMP 2015, pp. 6-9.
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2015-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/RETCOMP.2015.7090796" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/RETCOMP.2015.7090796</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929886298&doi=10.1109%2FRETCOMP.2015.7090796&partnerID=40&md5=02705d0fb5f2f8730b3223688f54c552" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929886298&doi=10.1109%2fRETCOMP.2015.7090796&partnerID=40&md5=02705d0fb5f2f8730b3223688f54c552</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-147991835-5
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Chaitra G.N., Dept. of CSE, Christ University, Bangalore, India; Khare N., Dept. of CSE, Christ University, Bangalore, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Feature extraction of optical character recognition: Survey
Subject
The topic of the resource
Character acknowledgment; Feature extraction; Handwritten; OCR
Description
An account of the resource
Optical Character Recognition is still prevailing even after many decades of implementation. The challenges faced here are increasing day by day so as its applications. From Punched cards to Handwritten Text, from images to video, from uniform font to universal font, from English text to Global language, from researchers to visually handicapped are the transformations obtained from an era of the 1980s to 2010. This paper has covered the advancement of acknowledging the characters, how are features are extracted, various methodologies used and more importantly what is the use of OCR. Research India Publications.
Creator
An entity primarily responsible for making the resource
Marial A.; Jos J.
Source
A related resource from which the described resource is derived
International Journal of Applied Engineering Research, Vol-12, No. 7, pp. 1129-1137.
Publisher
An entity responsible for making the resource available
Research India Publications
Date
A point or period of time associated with an event in the lifecycle of the resource
2017-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018712080&partnerID=40&md5=83f094f888e1321447cf6f6afc72e26f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018712080&partnerID=40&md5=83f094f888e1321447cf6f6afc72e26f</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 9734562
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Marial A., Computer Science Department, Christ University, Bangalore, Karnataka, India; Jos J., Computer Science Department, Christ University, Bangalore, Karnataka, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Feature films as pedagogy in higher education: A case study of Christ University, Bengaluru
Description
An account of the resource
Contemporary education system in India was initiated by the British for the maintenance of their imperial administration. After India became an independent country, conscious efforts were made to overhaul the educational system to produce proper administrators and contributors for Indian polity, economy and culture. To assess dynamics of Indian education, various committees and commissions were formed. It also meant change in education programs, curricula and syllabi to meet national needs and global challenges. Most universities in India have limited infrastructure, thus the role of private or deemed to be university becomes crucial. Christ University attending to the social structure, internationalization and employability demands, offers a number of quality educational programs to ensure employable graduates. This has led the way in devising pedagogy and curricula to align with the global higher education practices. Here we discuss the use of commercial feature film as a pedagogical tool in the classrooms within the Deanery of Humanities and Social Sciences and its implication. 2018, IGI Global.
Creator
An entity primarily responsible for making the resource
Bali A.; Pinto A.J.
Source
A related resource from which the described resource is derived
Handbook of Research on Media Literacy in Higher Education Environments, pp. 172-183.
Publisher
An entity responsible for making the resource available
IGI Global
Date
A point or period of time associated with an event in the lifecycle of the resource
2018-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.4018/978-1-5225-4059-5.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-5225-4059-5.ch010</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050607815&doi=10.4018%2F978-1-5225-4059-5.ch010&partnerID=40&md5=0132feab3311ce43eb0db5bff1775d49" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050607815&doi=10.4018%2f978-1-5225-4059-5.ch010&partnerID=40&md5=0132feab3311ce43eb0db5bff1775d49</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-152254060-1; 1522540598; 978-152254059-5
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Bali A., Department of Media Studies, Christ University, India; Pinto A.J., Department of Theatre Studies, Christ University, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Preema, P.Y.; Chandra, J.; Angel, C. Steffi
Title
A name given to the resource
Feature Fusion Classification for Emotional Intelligence Using Peripheral Signals
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Lecture Notes in Networks and Systems;Volume;1294 LNNS;pp.197-209
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1007/978-981-96-3253-4_14" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-3253-4_14</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105010645489?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010645489?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Preema P.Y., Department of Computer Science, Christ Deemed to be University, Karnataka, Bangalore, India; Chandra J., Department of Computer Science, Christ Deemed to be University, Karnataka, Bangalore, India; Angel C.S., Department of Computer Science, Christ Deemed to be University, Karnataka, Bangalore, India
Description
An account of the resource
Real-time emotion identification is an innovation in the field of humancomputer interaction, which is an essential and challenging task. The existing studies methods for identifying emotions include face, audio, and physiological signals. The study aims to develop a model for emotion classification to identify and interpret human emotions through skin temperature, respiration, and plethysmography. The study also includes analyzing and interpreting emotional states through ensemble models. The classification is based on the frequency domain signal components extracted using the Fast Fourier Transform (FFT), such as amplitude and frequency, to identify emotional states. Ensemble-based machine learning algorithms such as XGBoost and LGBM achieved the highest accuracy in classifying various emotional states. The study involves unimodal and ensemble methods to analyze the signals. The comparative classification rate of unimodal results with ensemble shows that it is the highest at 85.99%, achieved for sad emotions by XGBoost. Fusing modules like respiration, skin temperature, and plethysmography maintains the accuracy level for all four emotions. The unimodal temperature has the highest accuracy of 86.1% for calm, whereas the fusion model has maintained accuracy for all the emotional states. The feature amplitude is the most promising feature for the classification method, which attains an average of 83.2% for XGBoost. The applications enhance user experiences and contribute valuable help in psychology, mental health care, and HumanComputer Interaction. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Subject
The topic of the resource
DEAP dataset; Emotion recognition; Frequency domain analysis; Peripheral signals; Signal processing
Publisher
An entity responsible for making the resource available
Springer Science and Business Media Deutschland GmbH
Relation
A related resource
ISSN: 23673370; ISBN: 978-981963252-7;
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Vineetha, K.R.; Bhargavi, Kovvuri N.; Narasamba Vanguri, G.L.; Mahilraj, Jenifer; Kannan, V.
Title
A name given to the resource
FEATURE SELECTION AND CLASSIFICATION OF LEUKEMIC CELLS USING IOT AND MACHINE LEARNING
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Journal of Mechanics of Continua and Mathematical Sciences;Volume;20;Issue;3;pp.36-53
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.26782/jmcms.2025.03.00004" target="_blank" rel="noreferrer noopener">https://doi.org/10.26782/jmcms.2025.03.00004</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105000512011?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000512011?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Vineetha K.R., Department of Computer Science, Christ University, Karnataka, Bengaluru, 560029, India; Bhargavi K.N., Department of Information Technology, Aditya College of Engineering and Technology, Surampalem, India; Narasamba Vanguri G.L., Department of Information Technology, Aditya College of Engineering and Technology, Surampalem, India; Mahilraj J., Department of AI & DS, NPR College of Engineering and Technology, Dindigul, Natham, India; Kannan V., CLDC Research and Development, No.997, Mettupalayam Road, Near X-CutSignal, R.S.Puram, Tamil Nadu, Coimbatore, India
Description
An account of the resource
Machine learning and the Internet of Things (IoT) have affected every step of the leukemia process, from diagnosis to understanding to therapy. Consequently, this study delves into the planning of an innovative system that employs IoT and machine learning techniques to precisely differentiate leukemic cells. Depending on the patient's samples, the system uses different ways to feature selection and cell classification. To pick the most informative collection of features that enables stable and accurate cell categorization into suitable categories, the offered research relies on strong machine-learning approaches for feature selection. Next, a classification model is used to classify cells based on their properties using the attributes that have been chosen. There is evidence that the suggested approach can classify leukemic cells with an identification rate of up to 99%, which is greater than the current methods. As a novel strategy for managing massive volumes of biological and medical samples, the suggested method will be an invaluable tool for doctors treating leukemia patients. The system's ability to process data from various Internet of Things (IoT) sources should aid its ability to learn and adapt to real-world clinical settings. With the results of this study in hand, we may be able to detect leukemia sooner, with greater precision, and maybe use more tailored treatments for each patient, leading to better results while reducing healthcare expenditures. 2025, Institute of Mechanics of Continua and Mathematical Sciences. All rights reserved.
Subject
The topic of the resource
Diagnosing; Feature Selection; IoT; Leukemic Cells; Machine Learning; Understanding
Publisher
An entity responsible for making the resource available
Institute of Mechanics of Continua and Mathematical Sciences
Relation
A related resource
ISSN: 9738975;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access
Format
The file format, physical medium, or dimensions of the resource
online