165
20
16481
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Enhancing Early Detection of Cardiovascular Disease through Feature Optimization Methods
Subject
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Cardiovascular detection (CVD); Heart disease; Machine Learning; Optimization
Description
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cardiovascular diseases are the most common reason for mortality around the world. Early detection of the ailment can help to reduce the mortality rate considerably. The ever-growing technologies like machine learning algorithms and deep learning models can be used for this purpose. The AI models thus developed can be used for health sector for assisting doctors in assessing the stage of the disease and detection and tracking of the clots in the cardio blood vessels. The proposed work uses two benchmark datasets for analysing the performance of various machine learning algorithms including KNN, Nae Bayes, Decision Tree and Random Forest. The performance was compares based on the AUC %. The method feature reduction were used here to reduce the computational complexity of the model. The results show that Random Forest Algorithm gave the best result when compared to other algorithms in case of UCI dataset and MLP classifier gave best results for Kaggle dataset. 2024 IEEE.
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Didwania S.; Amrutha K.; Resmi K.R.; Vineetha K.R.
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2024 IEEE 3rd World Conference on Applied Intelligence and Computing, AIC 2024, pp. 119-122.
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Institute of Electrical and Electronics Engineers Inc.
Date
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2024-01-01
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<a href="https://doi.org/10.1109/AIC61668.2024.10731049" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AIC61668.2024.10731049</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210244884&doi=10.1109%2FAIC61668.2024.10731049&partnerID=40&md5=705fceb939cbca153284d24d92c99c5a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210244884&doi=10.1109%2fAIC61668.2024.10731049&partnerID=40&md5=705fceb939cbca153284d24d92c99c5a</a>
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ISBN: 979-835038459-8
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Online
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English
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Conference paper
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Didwania S., Christ University, Department of Computer Science, Bengaluru, India; Amrutha K., Christ University, Department of Computer Science, Bengaluru, India; Resmi K.R., Christ University, Department of Computer Science, Bengaluru, India; Vineetha K.R., Christ University, Department of Computer Science, Bengaluru, India
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https://archives.christuniversity.in/files/original/b26dbbca2c02c49527a795c06e563ee7.pdf
c6c2d0e846ce73713191943d97874047
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Title
A name given to the resource
MPHIL
Mphil
Mphil Thesis
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Title
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Appropriation and commercialization of mythology: A reading of amish tripathi???s Shiva Trilogy
Creator
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Dileep Lakshmi
Date
A point or period of time associated with an event in the lifecycle of the resource
2015
Source
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English
-
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Title
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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
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The Quantification of Human Facial Expression Using Trapezoidal Fuzzy Membership Function
Subject
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Fuzzy rule; Membership function; Quantification of expression
Description
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Fuzzy Inference System is an interesting approach. Major benefit of the FIS is, it permits the natural narration in linguistic terms of tribulations that can be resolved rather than in requisites of associations between accurate arithmetical points. This helps, handling with the complicated systems in easy way, is the major motive why fuzzy system is broadly incorporated in practice. In the present research paper, an effective approach is proposed that quantifies the human facial expression using Mamdani implication based fuzzy logic system. The recent principle engages in retrieving arithmetical values from persons face and feed them to a fuzzy classifier. Fuzzification and Defuzzification process issues trapezoidal fuzzy membership function for input as well as output. The diverse characteristic of this method is its effortlessness and maximum correctness. Experimental outcome on Image dataset depicts excellent accomplishment of the proposed methodology. In this paper, a legitimate procedure proposed for quantification of human facial expression from the features of the face by means of Mamdani type fuzzy inference system, which is proficient to set up a convenient membership association involving the various dimensions of the happy expression. Values representing features of the face are fed to a Mamdani-type fuzzy classifier. This system recognizes three levels of same happy expression namely Normal, Bit Smiley and Loud Laugh. The total output expressions for this proposed scheme is three. Another discrete element of the proposed methodology is the membership method model of expression outcome which stands on various surveys and readings of psychology. Springer Nature Singapore Pte Ltd. 2019.
Creator
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Dileep M.R.; Danti A.
Source
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Communications in Computer and Information Science, Vol-1036, pp. 373-380.
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Springer Verlag
Date
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2019-01-01
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<a href="https://doi.org/10.1007/978-981-13-9184-2_34" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-13-9184-2_34</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069674670&doi=10.1007%2F978-981-13-9184-2_34&partnerID=40&md5=0238c9067fb91aceed6ae3551b7493bf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069674670&doi=10.1007%2f978-981-13-9184-2_34&partnerID=40&md5=0238c9067fb91aceed6ae3551b7493bf</a>
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ISSN: 18650929; ISBN: 978-981139183-5
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Online
Language
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English
Type
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Conference paper
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Dileep M.R., Department of Computer Science and Applications, St. Aloysius College (Autonomous), Mangaluru, Karnataka, India; Danti A., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, Karnataka, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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A Study and Analysis on Various Types of Agricultural Drones and its Applications
Subject
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Drones; Overflight; Sensors; UAV; VTOL
Description
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Drones are considered to be the greatest invention of mankind. Drones can be used in many areas widely. Drones can also be used in agriculture and it is called as unnamed aerial vehicles (UAV). In the traditional agriculture methods land vehicles are used to monitor various activities of the agriculture, this was consuming lot of human effort and time. Using drones in agriculture is more beneficial than using traditional methods for the activities. Usage of drones in agriculture provides a huge benefit in terms of economy and time due to their most astonishing features. In recent years many surveys have proved that drones can cover almost 10 to 15 times of the area which can be covered with traditional land based techniques. Drones can be controlled by computers according to their capacities, that is drones can be automated over some range of area, locating remote area, and even can be semi-automated. Drones can be efficiently used in agriculture for performing certain activities such as, studying weather conditions and variations, infection for the crops, land fertility and many more. Because of the efficiency of the drones they can be used in various activities of agriculture. In this paper, a detailed study has been made on various types of agricultural drones based on the feature, capacity, range as well as cost and the area of agriculture where they suit the most, and a statistical analysis about the usage of the drones in the field of agriculture. 2020 IEEE.
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Dileep M.R.; Navaneeth A.V.; Ullagaddi S.; Danti A.
Source
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Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, pp. 181-185.
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Institute of Electrical and Electronics Engineers Inc.
Date
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2020-01-01
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<a href="https://doi.org/10.1109/ICRCICN50933.2020.9296195" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRCICN50933.2020.9296195</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099239998&doi=10.1109%2FICRCICN50933.2020.9296195&partnerID=40&md5=195d1d564e7de0cafb250ad076b154e5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099239998&doi=10.1109%2fICRCICN50933.2020.9296195&partnerID=40&md5=195d1d564e7de0cafb250ad076b154e5</a>
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ISBN: 978-172818818-8
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Online
Language
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English
Type
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Conference paper
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Dileep M.R., Nitte Meenakshi Institute of Technology, Department of Master of Computer Applications, Bengaluru, India; Navaneeth A.V., Nitte Meenakshi Institute of Technology, Department of Master of Computer Applications, Bengaluru, India; Ullagaddi S., Nitte Meenakshi Institute of Technology, Department of Master of Computer Applications, Bengaluru, India; Danti A., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India
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Title
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Faculty Publications
Article
Faculty Publications -Articles
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Dileepkumar, V.G.; Sirichandana, B.; Sanaulla, P.F.; Hegde, Gurumurthy; Basavaraja, B.M.; Santosh, M.S.
Title
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Synergistic effects of NiSe2 on S-doped g-C3N4 for efficient caffeine degradation and electrocatalysis
Date
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01-01-2025
Source
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Inorganic Chemistry Communications;Volume;178;Issue;;Article No.;114657;
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<a href="https://doi.org/10.1016/j.inoche.2025.114657" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.inoche.2025.114657</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004292270?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004292270?origin=resultslist</a>
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Dileepkumar V.G., Department of Science and Humanities (Chemistry), PES University, Bengaluru, India, Department of Chemistry, HKBK College of Engineering, Bangalore, India; Sirichandana B., Department of Chemistry, CHRIST University, Hosur Road, Bengaluru, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST University, Hosur Road, Bengaluru, 560029, India; Sanaulla P.F., Department of Chemistry, HKBK College of Engineering, Bangalore, India; Hegde G., Department of Chemistry, CHRIST University, Hosur Road, Bengaluru, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST University, Hosur Road, Bengaluru, 560029, India; Basavaraja B.M., Department of Science and Humanities (Chemistry), PES University, Bengaluru, India; Santosh M.S., Coal to Hydrogen Energy for Sustainable Solutions (CHESS) Division, CSIR Central Institute of Mining and Fuel Research (CIMFR), Digwadih Campus, Jharkhand, Dhanbad, India
Description
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This work focuses on the synthesis and characterization of NiSe2 on S-doped g-C3N4 to enhance the degradation of caffeine and improve the electrocatalytic performance in both HER and OER. Through a controlled synthesis method, NiSe2 was successfully anchored onto the surface of S-doped g-C3N4, leading to a significant increase in active sites and improved charge transfer. From the PXRD analysis, the crystallite sizes for the planes (210) and (311) were found to be 26 and 21 nm. Morphological analysis confirmed the uniform distribution of NiSe2 nanorod-like structures on the S-g-C3N4 nanosheets. Additionally, the composite demonstrated superior photocatalytic degradation efficiency of 96 % for caffeine under visible light irradiation by the composite, highlighting its potential application in both environmental remediation and energy conversion technologies. After the addition of hydroxyl and singlet oxygen scavengers, the degradation has been decreased to 50.3 % and 47.36 %, highlighting the potential of these radicals in the removal of caffeine. The electrochemical measurements revealed a remarkable increase in HER and OER activities of the NiSe2 on S-doped g-C3N4 composite (?128 mV and 338 mV at 10 mA cm?2 and 50 mA cm?2 respectively) compared to S-doped g-C3N4 and NiSe2 alone. This study highlights the promising role of NiSe2-S-g-C3N4 composites as multifunctional materials in addressing pressing challenges in water treatment and sustainable energy. 2025 Elsevier B.V.
Subject
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Caffeine; Carbon nitride; Chalcogenides; Photocatalysis; Water splitting
Publisher
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Elsevier B.V.
Relation
A related resource
ISSN: 13877003; CODEN: ICCOF
Language
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English
Type
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Article
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
https://archives.christuniversity.in/files/original/7d3703e5fab00a50c6e65205d2059ebb.pdf
65ad8cc27a908d4423005e689cb3c0d1
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Title
A name given to the resource
MASTERS
Masters' Dissertation
Masters Dissertation
Dublin Core
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Title
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Perception of students and teachers on E-learning modules /
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Dilip, Jhaveri Ushma. - 1324034
Date
A point or period of time associated with an event in the lifecycle of the resource
2015-02-07
Source
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Master of Science in Communication
Subject
The topic of the resource
Media Studies
Description
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Studies suggest that e-learning has not been successful in India yet, the scope is wide given threshold of change that the country stands at and the high percentage of youth population. With E-learning Students have flexibility and an enormous range of courses at their fingertips. Also, today an important aim of institutions today is to create a knowledge base, data in the form of courses that can be accessed globally.
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CHRIST (Deemed To Be University)
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Department of Media Studies
Format
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PDF
Language
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English
Type
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Masters Dissertation
-
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Faculty Publications
Article
Faculty Publications -Articles
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Dilip, Patkar Kalpesh
Title
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BRICS VS. G7: A COMPARATIVE ANALYSIS OF ECONOMIC AND POLITICAL EFFICIENCY IN SHAPING GLOBAL ORDER
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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Janus.net;Volume;16;Issue;2;pp.290-306
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<a href="https://doi.org/10.26619/1647-7251.16.2.16" target="_blank" rel="noreferrer noopener">https://doi.org/10.26619/1647-7251.16.2.16</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024457129?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024457129?origin=resultslist</a>
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Dilip P.K., Nyaya in the Shanti Parva of the Mahabharata, India, Christ (Deemed to be University), Lavasa Campus, Pune, India
Description
An account of the resource
The global distribution of power is increasingly shaped by the competing influences of two major blocs: BRICS (Brazil, Russia, India, China, and South Africa) and the G7 (Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States). This paper investigates how BRICS and the G7 shape the emerging multipolar global order. Using comparative analysis of key indicators: GDP, trade flows, investment patterns, diplomatic engagement, and strategic alliances. The paper examines each blocs structure and internal cohesion. The analysis underscores the G7's historical supremacy, which stems from its economic strength and political unity, in contrast to BRICS rising role as a representative for the Global South and a platform for alternative governance models. Important metrics include trade flows, investment trends, diplomatic efforts, and strategic alliances. The research also assesses the internal dynamics within each bloc, including challenges to cohesion and the effectiveness of decision-making. By comparing the advantages and drawbacks of BRICS and G7, this paper provides insights into their respective functions in a multipolar world order, evaluating their ability to promote transformative global agendas. Lastly, the paper concludes that both alliances embody divergent approaches to global governance, reflecting deeper shifts in international collaboration, competition, and the balance of power. 2025, Observare. All rights reserved.
Subject
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Comparison; Efficiency; Geopolitical; Multipolar; Power-Dynamics
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Observare
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ISSN: 16477251;
Language
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English
Type
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Article
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All Open Access; Gold Open Access
Format
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online
-
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Dilip, Patkar Kalpesh
Title
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Social-Ecological System Framework Network
Date
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01-01-2026
Source
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Global Nexus Handbook, Volume 1-3;Volume;3;pp.947-963
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<a href="https://doi.org/10.1002/9781394248087.ch51" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394248087.ch51</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032632856?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032632856?origin=resultslist</a>
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Dilip P.K., School of Law, Christ University, India
Description
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The Social-Ecological Systems Framework Network (SESFN) provides a holistic approach to understanding the complicated relationships between ecological and social systems. By integrating network analysis, SESFN unveils the dynamic interconnections and interdependencies that shape these systems, offering critical insights into governance, resilience, and adaptive capacity. This framework is a powerful tool for addressing contemporary challenges such as biodiversity conservation, resource management, and climate change. Through interdisciplinary collaboration, SESFN facilitates stakeholder engagement, combining traditional knowledge with scientific research to foster sustainable practices. The application of SESFN has established its effectiveness in promoting adaptive management and improving both ecosystem health and human well-being. As global environmental challenges deepen, SESFN emerges as a pivotal and essential framework for crafting innovative solutions to achieve sustainability and resilience across diverse social-ecological contexts. 2026 John Wiley & Sons Ltd. All rights reserved.
Subject
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adaptive governance; climate change; ecological governance; interdisciplinary collaboration; network analysis; social-ecological systems framework network
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wiley
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ISBN: 978-139424808-7; 978-139424805-6;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
-
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Dilip, Patkar Kalpesh; Sudam, Karande Suraj
Title
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Government Support and Policies
Date
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01-01-2025
Source
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Technopreneurship and Sustainability: Innovation, Challenges, and Opportunities;pp.142-158
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<a href="https://doi.org/10.1201/9781003537335-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003537335-8</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105005031526?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005031526?origin=resultslist</a>
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Dilip P.K., School of Law, CHRIST University, India; Sudam K.S., School of Law, CHRIST University, India
Description
An account of the resource
Government interventions play a crucial role in nurturing technopreneurship and advancing sustainability. The proposed chapter explains the significance of governmental support in bridging the financial, infrastructural, and knowledge gaps that technopreneurs face. It categorizes the types of support into financial aid, regulatory frameworks, infrastructure development, and educational programs, providing a structured overview of each. A detailed analysis of policy frameworks that foster innovation and sustainability is presented, supported with global examples such as the United States Small Business Innovation Research (SBIR) program, Israels Innovation Authority, Indias Digital India Initiative and Germanys High-Tech Strategy 2025. These examples illustrate how strategic policies can catalyse technological advancements and economic growth. The chapter further includes case studies from diverse regions, showcasing successful policy implementations and their tangible impacts. These case studies offer practical insights and best practices, demonstrating how tailored policies can create robust technopreneurial ecosystems. Finally, the chapter addresses the challenges in policy implementation and offers recommendations for future directions, emphasizing the need for adaptive, inclusive, and collaborative policy approaches. This comprehensive exploration aims to provide policymakers, academicians, and technopreneurs with valuable knowledge on leveraging government support for sustainable technopreneurial success. 2025 selection and editorial matter, Rajender Kumar, Rahul Sindhwani, Raman Kumar, Punj Lata Singh, and J. Paulo Davim.
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CRC Press
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ISBN: 978-104036319-5; 978-103288350-2;
Language
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English
Type
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Book chapter
Rights
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Restricted Access; Hardcopy may be available in the library
-
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Analyzing online food delivery industries using pythagorean fuzzy relation and composition
Subject
The topic of the resource
Choice of restaurants; Payment option; Pythagorean Fuzzy Relation; Quality of device; Speed of delivery
Description
An account of the resource
Food and beverages constitute a significant portion of the family expenditure, which motivates the food delivery companies in striving hard to meet the customer needs through their dynamic food delivery apps. The online food ordering system is one of the most profitable marketing strategies for restaurant businesses. The face of the restaurant industry has shifted from the traditional dine-in culture to takeaways, online ordering, and home deliveries. Digital technology and social media have a significant role in ensuring the efficiency and popularity of a food delivery app. The four essential factors for a food delivery company to satisfy the needs of the consumers in day to day life are choice of restaurants, speed of delivery, payment option and quality of service. The objective of this study is to discern and analyse these four essential factors adopted by the leading four food delivery companies and evaluate the perceptions of the consumers. The best online food delivering company is identified using Pythagorean Fuzzy Relation (PFR)and composition. The analysis concludes that Zomato food application is the best in consumers perception.The outcome of the survey is made more efficient by adopting a mathematical approach. Copyright IJHTS.
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Dinakaran U.
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International Journal of Hospitality and Tourism Systems, Vol-14, No. 2, pp. 36-45.
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Publishing India Group
Date
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2021-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103154363&partnerID=40&md5=483e74240b5610aec3caaaef2a685007" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103154363&partnerID=40&md5=483e74240b5610aec3caaaef2a685007</a>
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ISSN: 9746250
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Online
Language
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English
Type
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Article
Coverage
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Dinakaran U., Department of Hotel Management, Christ (Deemed to be University), Bangalore, Karnataka, India
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Articles
Article
Faculty Publications -Articles
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Title
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Impact of COVID-19 on Delivery of Quality Hospitality Education in India
Subject
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COVID-19; Education; Hospitality; Online education; Online learning
Description
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The Covid-19 pandemic caused many industries globally to undergo radical changes in their operational systems, disrupting the service delivery processes. The education industry is no exception to this phenomenon. India's higher educational institutions witnessed the immense challenge of taking the teaching process online with limited means and infrastructural support. This study aimed to assess the impact of the pandemic on the delivery of education online in India with particular reference to hospitality courses. A survey of 250 students and interview of 10 faculty members from 5 universities offering hospitality course across India showed that the online learning system is far from satisfactory and effective. Moreover, teachers need to undergo training sessions in order to improve their online teaching skills and create newer methods of imparting skills and evaluating students' performance. IJHTS
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Dinakaran U.
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International Journal of Hospitality and Tourism Systems, Vol-14, pp. 162-172.
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Publishing India Group
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2021-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122212451&partnerID=40&md5=9e43180601828d06d10da86b331e770c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122212451&partnerID=40&md5=9e43180601828d06d10da86b331e770c</a>
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ISSN: 9746250
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Online
Language
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English
Type
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Article
Coverage
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Dinakaran U., Department of Hotel Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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A study of entrepreneurial choices and challenges encountered by young graduates
Subject
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Challenges; Entrepreneurs; Young graduates
Description
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India, one of the most populous countries is growing phenomenally, though the challenges of unemployment is compounding. An unique method of overcoming this issue is through motivation of college students in becoming entrepreneurs, which will not only create employment but will also reduce the pressure of gaining employment on the students. However, flexible government policies in favor of entrepreneurs will facilitate the economic development of the country. In this study, a quantitative method is used to collect the data on entrepreneurship and the changing preferences of college students. A survey (N= 209) among college students of Bengaluru, India is conducted to identify the impact of entrepreneurship on work life choices of young graduates, evaluate the emergence of entrepreneurs in influencing decisions and analyzing the differing choices of males and females in terms of entrepreneurial selections. Analysis of the collected data indicates that Indian Government policy, unskilled labor, entrepreneurial education, family background and caste are factors affecting the entrepreneurial growth rate in Bangalore. Entrepreneurship education in Bangalore is still in the early stages, thus, depriving the college students from acquiring gainful practical knowledge. The structure of a conventional learning system and lack of social experiences also affects the learning process. 2019, International Journal of Scientific and Technology Research. All rights reserved.
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Dinakaran U.; Thomas N.; Boopathy S.
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International Journal of Scientific and Technology Research, Vol-8, No. 11, pp. 3960-3966.
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International Journal of Scientific and Technology Research
Date
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2019-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075602762&partnerID=40&md5=4a567709eb91be2d70f4ab7b92c7b4d3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075602762&partnerID=40&md5=4a567709eb91be2d70f4ab7b92c7b4d3</a>
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ISSN: 22778616
Format
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Online
Language
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English
Type
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Article
Coverage
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Dinakaran U., Department of Hotel Management CHRIST (Deemed to be University), Bangalore, India; Thomas N., Department of Hotel Management CHRIST (Deemed to be University), Bangalore, India; Boopathy S., Department of Hotel Management CHRIST (Deemed to be University), Bangalore, India
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Articles
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Faculty Publications -Articles
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<em><strong>Women chefs in Indian hospitality industry: Challenges and strategies /</strong></em>
Subject
The topic of the resource
Hotel Management
Description
An account of the resource
International Multidisciplinary Research Journal, Vol.4, Issue 7, pp.117-132, ISSN No: 2231-5063.
Creator
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Dinakaran, Usha
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<a href="http://oldgrt.lbp.world/UploadedData/5010.pdf" target="_blank" title="Women chefs in Indian hospitality industry: Challenges and strategies" rel="noreferrer noopener">http://oldgrt.lbp.world/UploadedData/5010.pdf</a>
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Golden Research Thoughts
Date
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2015-01-18
Language
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English
Type
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Journal Article
-
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Reflections on the issues and determinants associated with women's career progression in hospitality industry at Bengaluru /
Subject
The topic of the resource
Hospitality Industry
Description
An account of the resource
Social Sciences International Research Journal, Vol.2, Special Issue, ISSN: 2935-0544.
Creator
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Dinakaran, Usha.
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<a href="https://www.imrfjournals.com/_files/ugd/8b382d_6bdbe4c93f9a4c188ed909ca0d53a628.pdf" target="_blank" title="Reflections on the issues and determinants associated with women's career progression in hospitality industry at Bengaluru" rel="noreferrer noopener">https://www.imrfjournals.com/_files/ugd/8b382d_6bdbe4c93f9a4c188ed909ca0d53a628.pdf</a>
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IMRF
Date
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2016-02-14
Language
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English
Type
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Journal Article
-
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Dinesh, G.; Vigneshwaran, T.; Velammal, B.L.; Sweetline, S.; Sasthi Kumar, C.; Brinda, V.
Title
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Statistical Forecasting of Fat in Body Proportion Utilizing Nonlinear Anthropological Parameters and Density Evaluation
Date
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01-01-2025
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Proceedings of 2025 IEEE International Conference on Contemporary Computing and Communications, InC4 2025;
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<a href="https://doi.org/10.1109/InC465408.2025.11256299" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC465408.2025.11256299</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105030319140?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030319140?origin=resultslist</a>
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Dinesh G., School of Computing SRM Institute of Science and Technology, Kattankulathur, Department of Computational Intelligence, Tamilnadu, Chennai, India; Vigneshwaran T., Christ (Deemed to be University), School of Engineering and Technology, Department of CSE, Bangalore, India; Velammal B.L., College of Engineering Guindy Anna University, Department of CSE, Tamilnadu, Chennai, India; Sweetline S., Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Department of English, Tamilnadu, Chennai, India; Sasthi Kumar C., Karpagam Academy of Higher Education, Department of Computer Science and Engineering, Tamilnadu, Coimbatore, India; Brinda V., K. Ramakrishnan College of Engineering, Dept. of ECE, Tamil Nadu, Tiruchirappalli, 621112, India
Description
An account of the resource
Body Fat Percentage (BFP) is an accurate body fat assessment, plays vital role in order to evaluate an individual's health status and disease risk. Traditional BFP assessments, such as dual-energy X-ray absorptiometry (DXA) and hydrostatic weighing are high in accuracy which is compromised by their cost and complexity. This research work focuses on creating a predictive BFP model using anthropometric techniques. For formulating and validating the proposed model, a benchmark dataset is used consisting of 252 samples having measures of weight, height, waist circumference (WC), hip circumference (HC), skinfold thicknesses along with air displacement plethysmography (ADP) based density estimates. For feature engineering, the most important values are selected such as body mass index, hip ratio etc., as well as logarithmic values and then the best artificial neural network model is trained. The proposed model is developed using quadratic polynomial terms with a literature-based space-cost function (r > 0.98), provided the best model with a Mean Absolute Error (MAE) of 1.5% and coefficient of determination R = 0.92 outperforming conventional works. 2025 IEEE.
Subject
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Artificial Neural Network; Body Fat Percentage; Data Preprocessing; Deep Learning; Feature Selection; X-ray absorptiometry
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Relation
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ISBN: 979-833152118-9;
Language
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English
Type
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Conference paper
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Restricted Access; Hardcopy may be available in the library
-
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Dinesh, J.; Suresh, K.; Cynthia, T.
Title
A name given to the resource
Volatility-Based Stock Categorization and Risk-Informed Investment Support System
Date
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01-01-2026
Source
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2026 2nd International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics, IC3ECSBHI 2026;pp.847-852
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<a href="https://doi.org/10.1109/IC3ECSBHI67834.2026.11469137" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC3ECSBHI67834.2026.11469137</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105038085126?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038085126?origin=resultslist</a>
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Dinesh J., Christ University, Computer Science Department, Bangalore, India; Suresh K., Christ University, Computer Science Department, Bangalore, India; Cynthia T., Christ University, Computer Science Department, Bangalore, India
Description
An account of the resource
This paper presents an application that will benefit novice investors by categorizing stocks by levels of volatility so users can better understand risk by average parameters and increase factors assessed for long-term wealth generation. The offering model supports portfolio creation by enabling novice investors to choose appropriate options based on their risk tolerance, something that would be more challenging for investors with limited financial savvy under different circumstances. To develop an investment companion application that reduces emotional investing and increases strategic long-term financial decision making through effective data visualization, especially for novices. An application that uses statistics on volatility to compartmentalize stocks by low, medium and high-risk options for selection, with the ability to create and assess a portfolio based on this criteria through a virtual interface. Increased investment construction accessibility, the ability to create diverse portfolios, and a foundation for subsequent advanced investment features like notifications and trend predictive analysis. 2026 IEEE.
Subject
The topic of the resource
Financial technology; Investor support; Portfolio management; Risk management; Stock categorization strategy; Stock volatility; Volatility index
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Relation
A related resource
ISBN: 979-833155691-4;
Language
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English
Type
The nature or genre of the resource
Conference paper
Rights
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Restricted Access; Hardcopy may be available in the library
-
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Enhancement of Accuracy Level in Parking Space Identification by using Machine Learning Algorithms
Subject
The topic of the resource
Accuracy; Computer Vision; Convolutional Neural Networks; Deep Learning; Machine Learning; Support Vector Machine
Description
An account of the resource
Parking space identification is a crucial component in the development of intelligent transportation systems and smart cities. Accurate detection of parking spaces in urban areas can significantly improve traffic management, reduce congestion, and enhance overall parking efficiency. This proposed model is focuses on enhancing the accuracy of parking space identification through the utilization of Support Vector Machine (SVM) algorithms. The proposed methodology involves the following steps. First, a dataset comprising labelled parking space images is collected and pre-processed to ensure optimal quality and consistency. Next, feature extraction techniques are applied to capture certain relevant spatial and textural information from the images in the dataset, enabling the creation of informative feature vectors. These feature vectors are then utilized to train a SVM model, which is well-known for its capability to handle complex classification tasks. To measure the effectiveness of the SVM-based approach, a comprehensive set of experiments is carried out using real-world parking data. The performance metrics is to analysis accuracy level of the parking space identification. Comparative analysis has been done by comparing the proposed SVM approach with other popular machine learning algorithmsto demonstrate the superiority. The results indicate that the SVM-based model achieves a significantly higher accuracy level in parking space identification compared to other existing algorithms. 2023 IEEE.
Creator
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Diniz A.M.; Samanta D.; Jayapandian N.
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2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, pp. 595-600.
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2023-01-01
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<a href="https://doi.org/10.1109/ICACRS58579.2023.10404454" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACRS58579.2023.10404454</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185373931&doi=10.1109%2FICACRS58579.2023.10404454&partnerID=40&md5=d6c76b583efaa5752d21a459696bc5fc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185373931&doi=10.1109%2fICACRS58579.2023.10404454&partnerID=40&md5=d6c76b583efaa5752d21a459696bc5fc</a>
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ISBN: 979-835034023-5
Format
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Online
Language
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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
Diniz A.M., Department of CSE, CHRIST (Deemed to be University), India; Samanta D., Department of CSE, CHRIST (Deemed to be University), India; Jayapandian N., Department of CSE, CHRIST (Deemed to be University), India
-
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Comparative Study on Gasoline and Methanol in a Twin Spark IC Engine
Subject
The topic of the resource
DTSi engine; Methanol fuel; Spark advance angle; Variable compression ratio
Description
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In search of a viable alternative to petrol and diesel, methanol, ethanol and biodiesel play an important role. Methanol and ethanol are traditional alternatives to petrol(gasoline) because of better engine performance and reduced emission of carbon monoxide, oxides of nitrogen (NOx), unburnt hydrocarbon (UBHC) and other harmful gases. This work represents the result of four sets of spark timings on engine performance and engine emissions when run on methanol and petrol. Exhaustive investigations are carried out on a variable compression ratio DTSi engine for both methanol and gasoline. Engine was run at full throttle and at a constant speed of 1600RPM. Theefficiency of the engine found to be enhanced with methanol fuel which has higher octane number and high laminar flame speed. Maximum efficiency was found to be ~25.45% and ~28.7% at compression ratio 10 for gasoline and methanol fuel, respectively. This is observed at 2624 BTDC (before top dead center) spark advance combination. Optimum compression ratio for gasoline and methanol is found to be 6.8 and 7.4, respectively, at this spark advance angle combination. Moreover, methanol fuel eventually emits lesser amount of CO, UBHC and NOx than gasoline under all experimental combinations. 2021, Springer Nature Singapore Pte Ltd.
Creator
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Divakar Shetty A.S.; Sahu D.; Arthur Davis J.; Kumar R.
Source
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Lecture Notes in Mechanical Engineering, pp. 191-201.
Publisher
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Springer Science and Business Media Deutschland GmbH
Date
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2021-01-01
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<a href="https://doi.org/10.1007/978-981-15-7779-6_17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-7779-6_17</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097670901&doi=10.1007%2F978-981-15-7779-6_17&partnerID=40&md5=b31b0c07869cdc63417f2c30c1222f45" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097670901&doi=10.1007%2f978-981-15-7779-6_17&partnerID=40&md5=b31b0c07869cdc63417f2c30c1222f45</a>
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ISSN: 21954356; ISBN: 978-981157778-9
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Divakar Shetty A.S., Engineering Department, Ibri College of Technology, Ibri, Oman; Sahu D., School of Mechanical Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, 751024, India; Arthur Davis J., Engineering Department, Ibri College of Technology, Ibri, Oman; Kumar R., Department of Mechanical Engineering, Christ University, Bengaluru, 560029, India
-
https://archives.christuniversity.in/files/original/022e7bfd80d792b3f7dbc2c5bd08818d.pdf
c0f766ef47542963c4195f06a61eaaf4
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Title
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MASTERS
Masters' Dissertation
Masters Dissertation
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Title
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A perspective analysis on doodle art used in five educational materials /
Subject
The topic of the resource
Media Studies
Description
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Doodle Art are simple drawings that have concrete representational meaning in abstract shapes. A doodler intently shifts through information to generate substantial understandings. Doodle Art is one of the evolving styles that are attracting young audience especially through subject materials. Themain aim ofthe study is to understand whether doodling has emerged as a new trend in brand recall.
Creator
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Divakar, Swathy. - 1537158
Source
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Master of Arts in Media and Communication Studies
Publisher
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CHRIST (Deemed To Be University)
Date
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2017-02-03
Contributor
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Department of Media Studies
Format
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PDF
Language
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English
Type
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Masters Dissertation
-
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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
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Divakaran, Prakash; Parnami, Tanmay; Gaur, Sonali; Baryah, Neha; Gupta, Komal; Upreti, Kamal
Title
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Strategic Integration of AI in Modern Data Management
Date
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01-01-2025
Source
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2025 World Skills Conference on Universal Data Analytics and Sciences, WorldSUAS 2025;
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<a href="https://doi.org/10.1109/WorldSUAS66815.2025.11199110" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/WorldSUAS66815.2025.11199110</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022276679?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022276679?origin=resultslist</a>
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Divakaran P., Himalayan University, Department of Management, Arunchal Pradesh, India; Parnami T., GGSIPU, Dept. of Computer Science & Engineering, New Delhi, India; Gaur S., EMPI Business School, Dept. of Management, New Delhi, India; Baryah N., Chandigarh Group of Colleges, Chandigarh School of Business, Department of Forensic Sciences, Punjab, Mohali, India; Gupta K., Finance Manager Accenture, Bangalore, India; Upreti K., Christ University, Department of Computer Science, Ghaziabad, India
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The exponential growth of data from sources such as social media, IoT, and enterprise systems has catalyzed a transformative shift in data management practices. This paper explores the integration of artificial intelligence (AI), edge computing, cloud-native frameworks, and graph-based techniques to support intelligent, low-latency, and scalable data processing across complex ecosystems. It presents a comparative analysis of classical versus modern data architectures, highlighting how technologies like Graph Neural Networks (GNN4TS), reinforcement learning, and large language models (LLMs) enable more adaptive, interpretable, and automated pipelines. The study also addresses challenges in legacy system modernization, time-series modeling, and cyber threat detection while underscoring the role of AI in autonomous database management and metadata enrichment. Further, it examines critical risks - including explainability, adversarial vulnerabilities, concept drift, and privacy preservation - associated with AI-integrated data workflows. A structured overview of emerging paradigms such as neuro-symbolic AI, adaptive governance in multi-agent systems, and the potential of quantum computing provides a future-focused lens on intelligent data ecosystems. The insights presented aim to assist researchers, data engineers, and decision-makers in navigating the evolving landscape of AI-driven data management. 2025 IEEE.
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Artificial Intelligence; Automation; Challenges; Data Management; Traditional Techniques
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Institute of Electrical and Electronics Engineers Inc.
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ISBN: 979-833153925-2;
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English
Type
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Conference paper
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Restricted Access; Hardcopy may be available in the library