300
20
16481
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PHD
PhD
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61000027
Title
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Efficacy of priniciple based accounting on internal governance and financial performance
Subject
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Commerce
Description
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The introduction of IFRS has fuelled the expectation of users of financial newlinestatements on the potential benefits of adoption. Studies have indicated the newlinebenefits of IFRS adoption such as higher comparability of financial statements among companies operating in different jurisdictions, reduces transaction costs, and access to international capital through cross border listings and greater foreign investment (Aharony, Barniv and Falk, 2010 and newlineDunne, et al. 2008). Several studies have been done to analyze the consequences of IFRS adoption on financial statement items (Lantto and Sahlstrom, 2009; Dunne et al. 2008). Most of these studies were restricted to European countries and some Australian and Canadian countries as they were the early adopters. India has planned to converge with IFRS and not adopt. Adoption means applying IFRS as issued by IASB. Convergence means India would newlineharmonize its national accounting standards in compliance with IFRS as this provides freedom to protect the local business environment. These harmonized accounting standards are notified by Ministry of Corporate Affairs and are called Ind AS. As on date 39Indian accounting standards newlineharmonized with IFRS has been notified by Ministry of Corporate Affairs newline(ICAI,2015a). A road map for convergence with IFRS was notified by Ministry of newlineCorporate Affairs in a phased manner effective April 2011 (MCA, 2010). newlineAs the deadline was not met due to various reasons, a revised notification newlineand implementation roadmap has been issued by MCA in Feb, 2015 recommending Indian Companies with a net worth of over Rs. 500 Crore to converge with IFRS with effect from 1st April 2016 (ICAI, 2014; MCA,2015). newlineThe Finance Minister had also in his budget speech of 2014-15, indicated that Indian companies have to report IFRS voluntarily from 2015-16 and mandatorily from 2016-17 to make financial statement of Indian Companies newlinecomparable to 120 countries which are already reporting and also to fulfill the commitment made to G20 nations.
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Vidya Sankaran
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Author's Submission
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Christ(Deemed to be University)
Date
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2016-01-01
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Kumar, D N S
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Open Access
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PDF
Language
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English
Type
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PhD
Identifier
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<a href="http://hdl.handle.net/10603/325482" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/325482</a>
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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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Efficacy of Psychosocial Care Training Programme for the Staff Working in Old Age Homes
Subject
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ageing; geriatric mental health; Old age homes; psychosocial care training
Description
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Background: Training the old-age home staff is essential in raising geriatric mental health care standards in India. Inadequate knowledge on ageing and psychosocial interventions is a significant issue in old-age homes. Old-age home staff must know how to provide individualized psychosocial care and support for older adults. Hence this study aimed to test the feasibility of the psychosocial care training program for the staff working in old-age homes. Methods: A quasi-experimental research design (pre-post without a control group) was used. Forty-two staff members participated. Mary Starke Harper Aging Knowledge Exam (MSHAKE) and structured checklist to measure the staffs knowledge on ageing, psychosocial interventions, welfare legislations, schemes, and support services were administered before, immediately after, and two months after the program and the self-efficacy checklist was administered immediately and two months after the program, to examine the efficacy of the program. Results: Significant improvement was found in the ageing knowledge and the knowledge of psychosocial intervention and psychosocial care. These improvements continued for two months (p <.001). Similarly, their self-efficacy in managing such problems was also sustained across two post-measurements (p =.045). Conclusions: Face-to-face training programs would enhance the knowledge of the old age home staff. This Psychosocial Care Training module can be used for training old age home staff to address various psychosocial needs, concerns and other psychosocial problems of the residents. 2023 The Author(s).
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Shivarudraiah M.; Ammapattian T.; Antony S.; VS B.; Sivakumar P.T.
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Indian Journal of Psychological Medicine, Vol-46, No. 1, pp. 55-59.
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SAGE Publications Ltd
Date
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2024-01-01
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<a href="https://doi.org/10.1177/02537176231203929" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/02537176231203929</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178910329&doi=10.1177%2F02537176231203929&partnerID=40&md5=6e2126e36890476fd18d4f1d3602d999" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178910329&doi=10.1177%2f02537176231203929&partnerID=40&md5=6e2126e36890476fd18d4f1d3602d999</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 2537176
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Online
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English
Type
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Article
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Shivarudraiah M., Dept. of Psychology, Christ University, Karnataka, Yeshwanthpur, Bengaluru, India; Ammapattian T., Dept. of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India; Antony S., Dept. of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India; VS B., Dept. of Biostatistics, NIMHANS, Karnataka, Bengaluru, India; Sivakumar P.T., Dept. of Psychiatry, National Institute of Mental Health and Neurosciences, Karnataka, Bengaluru, India
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Title
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PHD
PhD
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Dublin Core
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61000078
Title
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Efficacy study of readiness for smoking cessation programme among male adolescents in bengaluru
Subject
The topic of the resource
Psychology
Description
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Among the remarkably challenging preventable cause for death all over the world is cigarette smoking behavior.Smoking among adolescents in cities has proved unusually challenging in spite of determined efforts in developed and developing countries.Dearth of governmental will and source to implement wide-ranging anti-smoking policies to reverse the trends in youth smoking (StantonandMcGee,2009) makes the need to develop an attitude change towards smoking cessation very crucial in controlling the smoking behavior. newlineA novel approach to smoking cessation is considered in this study, here the emphasis newlineis laid on the importance of acquiring skills to quit rather than quitting itself. The newlineobjectives of the study were achieved through several phases, where in the relevant newlineliterature was reviewed and an apt theoretical framework was built, based on which the program content was developed and finalized under the guidance of experts in the field. The final step was the creation of a manual for the RSCP. The outcome measures were selected considering the study sample characteristics. The study was carried out by randomly assigning the study participants in the two groups with respective interventions. Outcome measures were determined before and after the training. The results indicate that the two groups significantly differed in the variable Readiness to change , Defensiveness and behavioral components of change. newlineSpecifically, the experimental group was ready to change their behavior when compared to the controlled group, suggesting that the developed RSCP facilitates adolescent s to realize a more realistic aspect of themselves relating to smoking behavior and are very much willing to make lifestyle changes which would eventually result in behavioral change among adolescents when compared to providing a general awareness on smoking behavior.
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Smitha, A G.
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Author's Submission
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Christ(Deemed to be University)
Date
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2017-01-01
Contributor
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Reddy, Jayasankara K
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Open Access
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PDF
Language
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English
Type
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PhD
Identifier
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<a href="http://hdl.handle.net/10603/224924" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/224924</a>
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Dublin Core
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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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Efficiency Analysis of Modified Sepic Converter for Renewable Energy Applications
Subject
The topic of the resource
Converter; Efficiency continuous mode; Modified; Renewable; SEPIC; Voltage gain
Description
An account of the resource
A boosting module and a traditional SEPIC (single ended primary inductance converter) are combined to create the suggested circuit. As a result, the converter gains from the SEPIC convertera's many benefits. Also, the converter that is being presented is appropriate for renewable energy sources due to its high voltage gain and continuous input current. In comparison to a traditional SEPIC with a single-controlled switch, it offers a higher voltage gain. The voltage gains of the converter that has been suggested is closely related to that of the converter that was recently developed. This converter was constructed on the foundation of the conventional converter, as well as the conventional DC-to-DC converter. One of the most important characteristics of a projected converter is that it is equipped with a single controlled device and has the capability to increase voltage gain without the utilisation of a coupled inductor structure or transformer. The non-idealities of the semiconductor devices and passive components have been taken into consideration in the analysis of voltage gain in continuous current mode (CCM). The conventional SEPIC converter can be modified by incorporating capacitors and diodes. The experimental results indicate that this converter can amplify the output voltage by approximately 10 times and has an efficiency of around 97%. The Authors, published by EDP Sciences, 2024.
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Rao D.S.N.M.; Jasmin M.; Pandey M.; Almusawi M.; Ramadan G.M.; Senthil Kumar R.
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E3S Web of Conferences, Vol-564
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EDP Sciences
Date
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2024-01-01
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<a href="https://doi.org/10.1051/e3sconf/202456401007" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/e3sconf/202456401007</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203812459&doi=10.1051%2Fe3sconf%2F202456401007&partnerID=40&md5=dedfc66e63f9763647c6824974304b44" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203812459&doi=10.1051%2fe3sconf%2f202456401007&partnerID=40&md5=dedfc66e63f9763647c6824974304b44</a>
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All Open Access; Gold Open Access
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ISSN: 25550403
Format
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Online
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English
Type
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Conference paper
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Rao D.S.N.M., Department of EEE, GRIET, Bachupally, Telangana, Hyderabad, India; Jasmin M., New Prince Shri Bhavani College of Engineering and Technology, Chennai, India; Pandey M., School of Business and Management, CHRIST (Deemed to Be University), Bangalore, India; Almusawi M., Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq, Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq, Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Babylon, Babylon, Iraq; Ramadan G.M., College of MLT, Ahl Al Bayt University, Karbala, Iraq; Senthil Kumar R., AAA College of Engineering & Technology, tamil Nadu, Sivakasi, India
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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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Efficiency Enhancement using Least Significant Bits Method in Image Steganography
Subject
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Decode; Encode; Least Significant Bit (LSB) method; Steganography
Description
An account of the resource
Over the years, there has been a tremendous growth in the field of steganography. Steganography is a technique of hidden message passing i.e. transferring a message which is not visible to human eyes, through some media such as an image, music, games etc. In this particular article we focus on Image steganography which has its own advantages and has undergone a lot of improvements in the past years. The most basic image steganography can be achieved by changing the LSBs (Least Significant Bits) of the image pixels. These bits can usually be called the redundant bits. However, changing a large numbers of LSBs of an image can distort the image to an extent where it would be easily noticeable that the image maybe carrying a hidden message rendering it useless. These LSBs are changed according to the message bits allowing the person to hide their data which can be decoded later by reading the LSBs of image pixels. This paper introduces and explains a method to improve the efficiency of LSB method. 2022 IEEE
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Subhasri P.; Santhoshkumar S.; Sumathi A.; Balakrishnan C.; Kurus Malai Selvi F.
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International Conference on Automation, Computing and Renewable Systems, ICACRS 2022 - Proceedings, pp. 989-994.
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Institute of Electrical and Electronics Engineers Inc.
Date
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2022-01-01
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<a href="https://doi.org/10.1109/ICACRS55517.2022.10029071" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACRS55517.2022.10029071</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148322078&doi=10.1109%2FICACRS55517.2022.10029071&partnerID=40&md5=18e052c793954f022c36a6f9abd0cdc5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148322078&doi=10.1109%2fICACRS55517.2022.10029071&partnerID=40&md5=18e052c793954f022c36a6f9abd0cdc5</a>
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Restricted Access
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ISBN: 978-166546084-2
Format
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Online
Language
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English
Type
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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
Subhasri P., Alagappa Institute of Skill Development, Alagappa University, Tamil Nadu, Karaikudi, India; Santhoshkumar S., Department of Computer Science, Alagappa University, Tamil Nadu, Karaikudi, India; Sumathi A., Department of CSE SRC, SASTRA Deemed to be University, Tamil Nadu, Kumbakonam, India; Balakrishnan C., Department of Computer Science, CHRIST (Deemed to be University), Yeshwantpur Campus, Bengaluru, India; Kurus Malai Selvi F., Department of Computer Science, Government College for Women, Tamil Nadu, Kumabkonam, India
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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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Efficiency evaluation of total manufacturing sectors of India DEA approach
Subject
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Efficiency; Manufacturing sector; Productivity and dea
Description
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Efficiency, Productivity and Competitiveness are some of the performance indicators of any manufacturing firm. In Indian soil manufacturing industry plays predominant role in the countrys economy. Industrialization of manufacturing sectors generates employment, income and promotes GNP. To institute suitable policy measures it is desirable to divide the total manufacturing sectors of Indian states into efficient and inefficient. This study treats the total manufacturing sectors of a state as a decision making unit. 14 states account for more than 80% of total value added. Data Envelopment Analysis models are used to assess the efficiency of total manufacturing sectors of 14 Indian states. Research India Publications.
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Venkateswarlu B.; Subramanyam T.
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Global Journal of Pure and Applied Mathematics, Vol-11, No. 5, pp. 3145-3155.
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Research India Publications
Date
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2015-01-01
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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-s2.0-84946047853&partnerID=40&md5=018a22a10b5d94e2bdde145a64079e78" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946047853&partnerID=40&md5=018a22a10b5d94e2bdde145a64079e78</a>
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Restricted Access
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ISSN: 9731768
Format
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Online
Language
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English
Type
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Article
Coverage
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Venkateswarlu B., School of Advanced Sciences, VIT University, Vellore, 632014, India; Subramanyam T., Department of Statistics, Christ University, Bangalore, 560029, India
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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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Efficiency of Indian Banks with Non-Performing Assets as Undesirable Outputs
Subject
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Data Envelopment Analysis; efficiency; Indian Banks; Non-performing assets; Undesirable output
Description
An account of the resource
The performance evaluation of any banks is of utmost importance for bank management, investors, and policymakers. Due to globalization, all the banks are working in a competitive environment. Several risk factors affect the operational efficiency of banking system. This study aims to evaluate the efficiency of Indian banks with NPAs as uncontrolled variables. Due to the nature of NPAs, these are assumed as undesirable outputs in the DEA modelling. The results reveal that public sector banks experienced more input losses due to NPAs compared to private banks. The private banks experienced more loss in inputs due to the scale of operation. The Wilcoxon Signed-Rank test shown that the impact of NPAs and scale of operation are statistically significant at 0.05 level. 2023 American Institute of Physics Inc.. All rights reserved.
Creator
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Subramanyam T.; Zalki M.; Satish Kumar V.; Amalanathan S.
Source
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AIP Conference Proceedings, Vol-2649
Publisher
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American Institute of Physics Inc.
Date
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2023-01-01
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<a href="https://doi.org/10.1063/5.0114283" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0114283</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166400116&doi=10.1063%2F5.0114283&partnerID=40&md5=a0de9486772e33fe186b966845741884" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166400116&doi=10.1063%2f5.0114283&partnerID=40&md5=a0de9486772e33fe186b966845741884</a>
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ISSN: 0094243X; ISBN: 978-073544553-6
Format
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Online
Language
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English
Type
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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
Subramanyam T., Department of Mathematics and Statistics, M.S. Ramaiah University of Applied Sciences, Bangalore, India; Zalki M., Department of Mathematics, REVA University, Bangalore, India; Satish Kumar V., Department of Computer Science, East Point College of Higher Education, Bangalore, India; Amalanathan S., Department of Business and Management, Christ University, Bangalore, India
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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Title
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Efficiency study of coconut producer companies in India-A DEA approach
Subject
The topic of the resource
DMU; EBITDA; FPC Model; Technical Efficiency
Description
An account of the resource
The concept of the Farmer Producer Company (FPC) model has been a hot issue, especially during the 2020-21 Indian farmers' protest. Considering the pioneering initiatives of the Coconut Development Board (CDB) in setting up CPCs, we compare the technical efficiencies of CPCs that focus on coconut and its byproducts in Rural India for two consecutive financial years (2018-19 and 2019-20). Coconut Producer Companies' efficiency scores are estimated using Data Envelopment Analysis (DEA), a mathematical technique to assess technical efficiencies across homogeneous units. The results reveal that 35.11 percent of the sampled CPCs for FY 2018-19 are overall technical efficient, and approximately 76 percent are purely technical efficient. It is found that technical inefficiency is reported for a few CPCs due to scale inefficiency. The overall technical and pure technical efficiency have improved in FY 2019-20 compared to the previous period. 2024 Srinesh Thakur, Anvita Electronics, 16-11-762, Vijetha Golden Empire, Hyderabad.
Creator
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Kappil S.R.; Sahoo A.K.; Joseph A.
Source
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Emerging Trends and Innovations in Industries of the Developing World: A Multidisciplinary Approach, pp. 7-13.
Publisher
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CRC Press
Date
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2023-01-01
Identifier
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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-s2.0-85174142350&partnerID=40&md5=85f1ab376973624bf85ed2598151ecba" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174142350&partnerID=40&md5=85f1ab376973624bf85ed2598151ecba</a>
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ISBN: 978-100381954-7; 978-103260103-8
Format
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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
Kappil S.R., Central University of Haryana, India; Sahoo A.K., Central University of Haryana, India; Joseph A., CHRIST (Deemed to be University), India
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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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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
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Efficiency Wage and Productivity in the Indian Microfinance Industry: A Panel Evidence
Subject
The topic of the resource
Efficiency wage; financial sustainability; India; microfinance; microfinance institutions; mission drift; outreach
Description
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Enhanced productivity remains a crucial agenda for firms to attain cost and competitive advantages in the market. Hence, the main purpose of this study is to investigate the effects of efficiency wage (EW) on the productivity of microfinance institutions (MFIs) with respect to their dual objectives, namely, outreach (depth and breadth) and financial sustainability. Unbalanced panel data of 179 Indian MFIs were collected over the period 20102018 from the Microfinance Information Exchange (MIX) market platform (now obtainable from the World Bank catalogue). Under a static model setting (fixed effects model), the observed relationship between EW and MFIs productivity is mixed. On the one hand, EW exhibits a strong and statistically significant positive relationship with the breadth of outreach, even after considering various control variables and alternative proxies of EW. On the other hand, EW shows no positive influence on the MFIs depth of outreach; rather, it results in a mission drift of MFIs, with the poorest of the poor being neglected (weak and insignificant for proxy of EW). Concerning the financial sustainability of MFIs, EW exhibits a positive and statistically significant effect, except for the profitability dimension when an alternative proxy of EW is used. A two-step system generalized method of moments (GMM) performed to limit endogeneity problems also validates most of our findings. The outcomes of this study could help MFIs managers in designing appropriate financial packages to enhance MFIs productivity and subsequently attain the dual objective of outreach and sustainability. 2022 SAGE Publications.
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Mia M.A.; Pellegrina L.D.; Zhang C.; Sangwan S.
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IIM Kozhikode Society and Management Review, Vol-11, No. 2, pp. 235-252.
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Sage Publications India Pvt. Ltd
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2022-01-01
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<a href="https://doi.org/10.1177/22779752211061203" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/22779752211061203</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142279142&doi=10.1177%2F22779752211061203&partnerID=40&md5=e3e1d09b13b30a93f87fce40850de1ce" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142279142&doi=10.1177%2f22779752211061203&partnerID=40&md5=e3e1d09b13b30a93f87fce40850de1ce</a>
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ISSN: 22779752
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Online
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English
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Article
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Mia M.A., School of Management, Universiti Sains Malaysia, Penang, Malaysia; Pellegrina L.D., Department of Economics, Management and Statistics (DEMS), University of Milano-Bicocca, Piazza Ateneo Nuovo, Milan, Italy; Zhang C., School of Accounting, Nanjing University of Finance and Economics, Nanjing, China; Sangwan S., Department of Commerce, Christ University, Maharashtra, Pune, India
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No Thesisi
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Efficient algorithms for enhanced performance in distributed systems
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Computer Science
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NA
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Beaulah, Soundarabai P
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Author's Submission
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Christ(Deemed to be University)
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2014-01-01
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Thriveni, J
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Open Access
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PDF
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English
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PhD
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<a href="http://hdl.handle.net/10603/73526" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/73526</a>
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Articles
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Efficient Brain Tumor Identification Based on Optimal Support Scaling Vector Feature Selection (OSSCV) Using Stochastic Spin-Glass Model Classification
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brain tumor; classification; feature selection; Machine learning; MRI image processing; neural network; stochastic spin model
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Brain tumor detection is a developing defect finding task in medical imaging, as premature and early identification is a critical once for recommending early treatment. The tumor are identified by the laboratory through MRI images by finding the tumor regions. The Artificial intelligence play a vital role for finding, analyzing, the image data to attain the target results in medical image using various learning methodologies. Most of the existing system failed to find the find the feature dimension leads poor accuracy for identifying tumor regions due to low precision, recall rate, lower intensity in image coverage region. To resolve this problem, to propose an Optimal Support Scaling Vector Based Feature Selection (OSSCV) brain tumor identification using Stochastic Spin-Glass Model Classification (SSGM). Initially the preprocessing is done by bilateral filter and segmentation is applied by suing Active Region Slice Window Segmentation (ARSWS). To separate the tumor entity feature projection using Histogram color quantization and the features process are carried by Optimal Support Scaling Vector Based Feature Selection (OSSCV). The selected features get trained using Stochastic Spin-Glass Model Classification (SSGM) to find the tumor region. The proposed system outperforms traditional machine learning methods in brain tumor detection. Finally proposed system of Stochastic Spin-Glass Model (SSGM) performance of recall is 95.5%, the performance of F1-score is 96.1% and the performance of the 96.5%. The proposed approach has the potential to assist radiologists in diagnosing brain tumors more accurately and efficiently, leading to improved patient outcomes. 2024, Ismail Saritas. All rights reserved.
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Veneeswari J.; Sankar Ganesh S.; Krishnasamy L.; Rengaraj T.; Suseela D.; Kumaran N.
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International Journal of Intelligent Systems and Applications in Engineering, Vol-12, No. 11, pp. 177-187.
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Ismail Saritas
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2024-01-01
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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-s2.0-85184883200&partnerID=40&md5=039aea9fd306cb13023733840b8e4ec5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184883200&partnerID=40&md5=039aea9fd306cb13023733840b8e4ec5</a>
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ISSN: 21476799
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Online
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English
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Article
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Veneeswari J., Department of Information Technology, iNurture Education Solutions Private Limited, Vels University, Tamil Nadu, Chennai, 600117, India; Sankar Ganesh S., Department of Computer Science and Engineering, Kommuri Pratap Reddy Institute of Technology, Medchal, Telangana, Hyderabad, 501301, India; Krishnasamy L., Department of CSE, School of Engineering and Technology, Christ (Deemed to be) University, Bengaluru, 560074, India; Rengaraj T., Department of Electrical and Electronics Engineering, P. S. R Engineering College, Sevalpatti, Tamil Nadu, Sivakasi, 626140, India; Suseela D., Department of Artificial Intelligence and Machine Learning, Bannari Amman Institute of Technology, Tamil Nadu, Sathyamangalam, 638401, India; Kumaran N., Department of Mathematics, Veltech Rangarajan Dr.Sagunthala R&D institute of science and technology, Avadi, Tamil Nadu, Chennai, 600062, India
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Efficient cationic dye removal from water through Arachis hypogaea skin-derived carbon nanospheres: a rapid and sustainable approach
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The present study investigates the potential of Arachis hypogaea skin-derived carbon nanospheres (CNSs) as an efficient adsorbent for the rapid removal of cationic dyes from aqueous solutions. The CNSs were synthesized through a facile, cost-effective, catalyst-free and environmentally friendly process, utilizing Arachis hypogaea skin waste as a precursor. This is the first reported study on the synthesis of mesoporous carbon nanospheres from Arachis hypogaea skin. The structural and morphological characteristics of the CNSs were confirmed by different nano-characterization techniques. The adsorption performance of the carbon nanospheres was evaluated through batch adsorption experiments using two cationic dyes-methylene blue (MB) and malachite green (MG). The effects of the initial dye concentration, contact time, adsorbent dosage, and pH were investigated to determine the optimal conditions for dye removal. The results revealed that the obtained CNSs exhibited remarkable adsorption capacity and rapid adsorption kinetics. Up to ?98% removal efficiency was noted for both dyes in as little as 2 min for a 5 mg L?1 dye concentration, and the CNSs maintained their structural morphology even after adsorption. The adsorption data were fitted to various kinetic and isotherm models to gain insights into the adsorption mechanism and behaviour. The pseudo-second-order kinetic model and Redlich-Peterson model best described the experimental data, indicating multi-layer adsorption and chemisorption as the predominant adsorption mechanism. The maximum adsorption capacity was determined to be 1128.46 mg g?1 for MB and 387.6 mg g?1 for MG, highlighting the high affinity of the carbon nanospheres towards cationic dyes. Moreover, CNS reusability and stability were examined through desorption and regeneration experiments, which revealed sustained efficiency over 7 cycles. CNSs were immobilised in a membrane matrix and examined for adsorption, which demonstrated acceptable efficiency values and opened the door for further improvement. 2024 RSC.
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Sharma A.; Shivanna J.M.; Alodhayb A.N.; Hegde G.
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Nanoscale Advances, Vol-6, No. 12, pp. 3199-3210.
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Royal Society of Chemistry
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2024-01-01
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<a href="https://doi.org/10.1039/d4na00254g" target="_blank" rel="noreferrer noopener">https://doi.org/10.1039/d4na00254g</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193331463&doi=10.1039%2Fd4na00254g&partnerID=40&md5=c8856f21b264a8dd12ce8e97fc3b7e72" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193331463&doi=10.1039%2fd4na00254g&partnerID=40&md5=c8856f21b264a8dd12ce8e97fc3b7e72</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 25160230
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Online
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English
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Article
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Sharma A., Department of Chemistry, School of Sciences, CHRIST, Deemed to be University, Hosur Road, Bengaluru, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST, Deemed to be University, Hosur Road, Bengaluru, 560029, India; Shivanna J.M., Department of Chemistry, AMC Engineering College, Bannerghatta Road, Bengaluru, 560083, India; Alodhayb A.N., Department of Physics and Astronomy, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Hegde G., Department of Chemistry, School of Sciences, CHRIST, Deemed to be University, Hosur Road, Bengaluru, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST, Deemed to be University, Hosur Road, Bengaluru, 560029, India
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Efficient chemical fixation of CO2from direct air under environment-friendly co-catalyst and solvent-free ambient conditions
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The capture and conversion of CO2from direct air into value-added products under mild conditions represents a promising step towards environmental remediation and energy sustainability. Consequently, herein, we report the first example of a Mg(ii)-based MOF exhibiting highly efficient fixation of CO2from direct air into value-added cyclic carbonates under eco-friendly co-catalyst and solvent-free mild conditions. The bifunctional MOF catalyst was rationally constructed by utilizing an eco-friendly Lewis acidic metal ion, Mg(ii), and a nitrogen-rich tripodal linker, TATAB. The MOF possesses a high BET surface area of 2606.13 m2g?1and highly polar 1D channels decorated with a high density of CO2-philic sites which promote a remarkably high CO2uptake of 50.2 wt% at 273 K with a high heat of adsorption value of 55.13 kJ mol?1. The high CO2-affinity combined with the presence of a high density of nucleophilic and Lewis acidic sites conferred efficient catalytic properties to the Mg-MOF for chemical fixation of CO2from direct air under environment-friendly mild conditions. The remarkable performance of the Mg-MOF for the fixation of CO2from direct air was further supported by in-depth theoretical calculations. Moreover, the computational studies provided an insight into the mechanistic details of the catalytic process in the absence of any co-catalyst and solvent. Overall, this work represents a rare demonstration of carbon capture and utilization (CCU) from direct air under eco-friendly mild conditions. The Royal Society of Chemistry 2021.
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Das R.; Ezhil T.; Palakkal A.S.; Muthukumar D.; Pillai R.S.; Nagaraja C.M.
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Journal of Materials Chemistry A, Vol-9, No. 40, pp. 23127-23139.
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Royal Society of Chemistry
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2021-01-01
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<a href="https://doi.org/10.1039/d1ta05138e" target="_blank" rel="noreferrer noopener">https://doi.org/10.1039/d1ta05138e</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117506707&doi=10.1039%2Fd1ta05138e&partnerID=40&md5=2852ca4d73d04a577a594ac9d5c4b7f8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117506707&doi=10.1039%2fd1ta05138e&partnerID=40&md5=2852ca4d73d04a577a594ac9d5c4b7f8</a>
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ISSN: 20507488; CODEN: JMCAE
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Online
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English
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Article
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Das R., Department of Chemistry, Indian Institute of Technology Ropar, Rupnagar, 140001, Punjab, India; Ezhil T., Department of Chemistry, Indian Institute of Technology Ropar, Rupnagar, 140001, Punjab, India; Palakkal A.S., Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India; Muthukumar D., Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India; Pillai R.S., Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India, Department of Chemistry, Christ University, Bangalore, 560023, Karnataka, India; Nagaraja C.M., Department of Chemistry, Indian Institute of Technology Ropar, Rupnagar, 140001, Punjab, India
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Faculty Publications
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Kopparapu, Imam; Binish, C.J.; Vijayasankar, A.V.
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Efficient cyclization of 1,5-dienes to industrially important terpenes using amorphous metal aluminophosphate catalyst: A continuous flow approach
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01-01-2025
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Results in Surfaces and Interfaces;Volume;19;Issue;;Article No.;100539;
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<a href="https://doi.org/10.1016/j.rsurfi.2025.100539" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.rsurfi.2025.100539</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004181067?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004181067?origin=resultslist</a>
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Kopparapu I., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Binish C.J., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Vijayasankar A.V., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India
Description
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Amorphous metal aluminophosphate was used for the first time in a continuous flow process for the cyclization of pseudoionones. A series of metal aluminophosphates was synthesized by a simple coprecipitation method and characterized using various techniques to determine the physico-chemical properties of the materials. The synthesized metal aluminophosphates were evaluated as catalysts in the cyclization of pseudoionone via a continuous flow process utilizing a coil flow reactor. All catalysts facilitated the formation of ?- and ?-isomers of ionones through the cyclization of pseudoionone. Calcium aluminophosphate demonstrated a higher catalytic efficiency of 96 % compared to other reported methods, which is attributed to its large surface area, surface acid sites, and reduced by-product inhibition. The reaction was optimized by varying parameters such as catalyst amount, reaction temperature, pressure, and retention time and compared with a batch process. The scope of the reaction was investigated by employing a variety of terpene ketones. A suitable reaction mechanism was proposed which highlights the role of the surface acidity of the catalyst in the formation of a cyclized ring. The catalyst exhibited excellent reusability, maintaining its efficiency over three consecutive cycles with minimal degradation. 2025 The Authors
Subject
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Amorphous metal aluminophosphate; Calcium aluminophosphate; Continuous flow process; Cyclization; Terpenes
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Elsevier B.V.
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ISSN: 26668459;
Language
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English
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Article
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All Open Access; Gold Open Access
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online
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61000095
Title
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Efficient data mining techniques for medical data
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Computer Science
Description
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Healthy decision making for the well being is a challenge in the current era with abundant information everywhere. Data mining, machine newlinelearning and computational statistics are the leading fields of study that are supporting the empowered individual to take valuable decisions to optimize the outcome of any working domain. High demand for data newlinehandling exists in healthcare, as the rate of increase in patients is proportional to the rate of population growth and life style changes. Techniques for early diagnosis and prognosis prediction of diseases are the need of the hour to provide better treatment for the human community. Data mining techniques are a boon for building a quality and newlineefficient model for health prediction applications. As cancer explodes everywhere in recent years, the data sets from cancer newlineregistries have been focused as the medical data in this research. The main aim of thesis is to build a constructive and efficient classifier model for cancer prognosis prediction. Most of the existing system develops a diagnosis prediction models from the screening or survey data, as the data newlineset is widely available and are easy to collect due the insensitive nature of newlinethe factors involved in such research. Whereas the prognosis prediction requires a sensitive details of the patients those who are under treatment for a diagnosed disease. Hospitals and the community registries newlinemaintained by the government are the main source for data collection. Well maintained electronic hospital records with histopathology information is not public in India for the researchers. Hence cancer data newlinefrom a US based open access data center has been used in this research for all experimentation. This research work is a progressive model that gradually improves the newlineprediction accuracy by selecting appropriate data mining techniques in each phase.
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Saleema, J S.
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Author's Submission
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Christ(Deemed to be University)
Date
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2018-01-01
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Shenoy, P Deepa
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Open Access
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PDF
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English
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PhD
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<a href="http://hdl.handle.net/10603/252043" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/252043</a>
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Articles
Article
Faculty Publications -Articles
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Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter
Subject
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False data injection attack; Kalman filter; Random attack; Reconfigurable Euclidean detector; Smart grid
Description
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The distribution denial of service (DDoS) attack, fault data injection attack (FDIA) and random attack is reduced. The monitoring and security of smart grid systems are improved using reconfigurable Kalman filter. Methods: A sinusoidal voltage signal with random Gaussian noise is applied to the Reconfigurable Euclidean detector (RED) evaluator. The MATLAB function randn() has been used to produce sequence distribution channel noise with mean value zero to analysed the amplitude variation with respect to evolution state variable. The detector noise rate is analysed with respect to threshold. The detection rate of various attacks such as DDOS, Random and false data injection attacks is also analysed. The proposed mathematical model is effectively reconstructed to frame the original sinusoidal signal from the evaluator state variable using reconfigurable Euclidean detectors. 2022, Institute of Advanced Engineering and Science. All rights reserved.
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Dayananda P.; Srikantaswamy M.; Nagaraju S.; Velluri R.; Kumar D.M.
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International Journal of Power Electronics and Drive Systems, Vol-13, No. 4, pp. 2086-2097.
Publisher
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Institute of Advanced Engineering and Science
Date
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2022-01-01
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<a href="https://doi.org/10.11591/ijpeds.v13.i4.pp2086-2097" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijpeds.v13.i4.pp2086-2097</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139948832&doi=10.11591%2Fijpeds.v13.i4.pp2086-2097&partnerID=40&md5=fb190e305d9e228144980183b77de5da" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139948832&doi=10.11591%2fijpeds.v13.i4.pp2086-2097&partnerID=40&md5=fb190e305d9e228144980183b77de5da</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 20888694
Format
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Online
Language
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English
Type
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Article
Coverage
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Dayananda P., Department of Electrical and Electronics Engineering, SJB Institute of Technology, Bangalore, India; Srikantaswamy M., Department of Electronics and Communication Engineering, JSS Academy of Technical Education, Bangalore, India; Nagaraju S., Department of Electrical and Electronics Engineering, Sri Jayachamarajendra College of Engineering, Mysore, India; Velluri R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Kumar D.M., Department of Electronics and Instrumentation Engineering, JSS Academy of Technical Education, Bangalore, India
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Faculty Publications
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Dharini, N.; Janani, V.S.; Katiravan, Jeevaa
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Efficient detection of intrusions in TON-IoT dataset using hybrid feature selection approach
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01-01-2026
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Scientific Reports;Volume;16;Issue;1;Article No.;7763;
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<a href="https://doi.org/10.1038/s41598-026-37834-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41598-026-37834-y</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105031594104?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031594104?origin=resultslist</a>
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Dharini N., Department of Computer Science and Engineering (Cyber Security), R.M.K College of Engineering and Technology, Thiruvallur, India; Janani V.S., Department of AIML and DS, Christ University, Bangalore, Kengeri Campus, Bangalore, India; Katiravan J., Department of Information Technology, Velammal Engineering College, Chennai, India
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This research improves IoT attack classification by introducing a bias-aware dataset refinement strategy that eliminates IP- and port-based identifiers and applies a domain-guided hybrid feature selection framework to derive a lightweight and generalizable feature set. Motivated by the need for intrusion detection models that generalize beyond predefined network configurations, this study focuses on behavior-driven network features that enable more realistic attack categorization in IoT environments. Wrapper-based feature selection methods, including forward selection, backward elimination, and genetic algorithms, identify five optimal features. To assess the robustness of the selected feature subset, both simple classifiers (Decision Tree and KNN) and ensemble learning models, including Random Forest, Gradient Boosting, XGBoost, Bagging, and Voting Ensemble, are evaluated under binary and multi-class settings. Using the proposed reduced feature set, the Decision Tree classifier achieved an accuracy of 0.986 for binary classification and 0.972 for multi-class attack classification, while the K-Nearest Neighbor classifier consistently achieved an accuracy of 0.972 for both binary and multi-class scenarios, while ensemble models yield only marginal performance improvements. Evaluation using precision, recall, F1-score, confusion matrices, and Cohens Kappa confirms that the discriminative power primarily arises from the selected feature subset rather than classifier complexity. These results demonstrate that effective feature selection enables lightweight models to achieve competitive intrusion detection performance suitable for real-world IoT deployments. The Author(s) 2026.
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Attacks; Decision tree; Hybrid feature selection; K nearest neighbours; ToN-IoT dataset
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Nature Research
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ISSN: 20452322;
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English
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Article
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All Open Access; Gold Open Access; Green Open Access
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online
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Articles
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Faculty Publications -Articles
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Efficient discrimination by MIRU-VNTRs of Mycobacterium tuberculosis clinical isolates belonging to the predominant SIT11/EAI3-IND ancestral genotypic lineage in Kerala, India
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India; IS6110-RFLP; Kerala; MIRU-VNTR; Mycobacterium tuberculosis; Spoligotyping
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The present study evaluated the ability of MIRU-VNTRs to discriminate Mycobacterium tuberculosis (MTB) clinical isolates belonging to the SIT11/EAI3-IND ancestral genotypic lineage, which is highly prevalent in Kerala, India. Starting from 168 MTB clinical isolates, spoligotyping (discriminatory index of 0.9113) differentiated the strains into 68 distinct patterns, the biggest cluster being SIT11/48 SIT11 ( n= 48). The present study shows that 12-loci MIRUs and 3 ETRs allowed an efficient discrimination of these isolates (discriminatory indexes of 0.7819 and 0.5523, respectively). 2013 Asian-African Society for Mycobacteriology.
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Joseph B.V.; Soman S.; Hill V.; Kumar R.A.; Rastogi N.; Mundayoor S.
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International Journal of Mycobacteriology, Vol-2, No. 4, pp. 244-247.
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2013-01-01
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<a href="https://doi.org/10.1016/j.ijmyco.2013.10.005" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ijmyco.2013.10.005</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84888408580&doi=10.1016%2Fj.ijmyco.2013.10.005&partnerID=40&md5=c7a2777906f263da5eb77ca06e57ab1a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84888408580&doi=10.1016%2fj.ijmyco.2013.10.005&partnerID=40&md5=c7a2777906f263da5eb77ca06e57ab1a</a>
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All Open Access; Gold Open Access
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ISSN: 22125531
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Online
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English
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Article
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Joseph B.V., Department of Biotechnology, Christ University, Bangalore 560 029, Karnataka, Hosur Road, India; Soman S., Mycobacteria Research Group, Department of Molecular Microbiology, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram 695 014, Kerala, Thycaud Post, India; Hill V., WHO Supranational TB Reference Laboratory, TB and Mycobacteria Unit, Institut Pasteur de la Guadeloupe, Abymes, France; Kumar R.A., Mycobacteria Research Group, Department of Molecular Microbiology, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram 695 014, Kerala, Thycaud Post, India; Rastogi N., WHO Supranational TB Reference Laboratory, TB and Mycobacteria Unit, Institut Pasteur de la Guadeloupe, Abymes, France; Mundayoor S., Mycobacteria Research Group, Department of Molecular Microbiology, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram 695 014, Kerala, Thycaud Post, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Efficient Disease Detection in Wheat Crops: A Hybrid Deep Learning Solution
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Decision Tree; Deep Learning; Disease Magnitude; Multi-classification; Wheat Diseases; Yellow Rust
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Wheat rust disease poses a significant danger to global food security and requires rapid, precise diagnosis to be effectively managed. Using a hybrid deep learning (DL) model consisting of a convolutional neural network (CNN) and a decision tree (DT), a new method for classifying wheat rust illness across six magnitude scales has been described in the proposed study. For training and assessing the model, a dataset of 50,000 wheat leaf photos representing a wide range of disease magnitude has been amazing. The suggested work developed a hybrid CNN-DT model with an amazing overall accuracy of 93.47% by carefully analyzing the data and crafting the model. The model's resilience in identifying multiple levels of disease magnitude was proved by the performance metrics for each disease magnitude class. The proposed hybrid model also outperformed state-of-the-art models in terms of accuracy, as shown by the comparisons conducted. The findings provide important new information on the potential of DL methods for wheat rust disease classification, which can then be used as a trusted resource for early disease diagnosis and smarter agricultural policymaking. In the face of agricultural diseases, the suggested model has important implications for improving crop management, reducing yield losses, and guaranteeing food security. 2023 IEEE.
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Konidena A.; Shanbhog M.; Singh S.; Sharma V.; Jain A.K.; Sharma N.
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Proceedings - International Conference on Technological Advancements in Computational Sciences, ICTACS 2023, pp. 648-654.
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Institute of Electrical and Electronics Engineers Inc.
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2023-01-01
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<a href="https://doi.org/10.1109/ICTACS59847.2023.10389846" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTACS59847.2023.10389846</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185374849&doi=10.1109%2FICTACS59847.2023.10389846&partnerID=40&md5=91d61b110abae6d16ce9423ee3d252e7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185374849&doi=10.1109%2fICTACS59847.2023.10389846&partnerID=40&md5=91d61b110abae6d16ce9423ee3d252e7</a>
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Restricted Access
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ISBN: 979-835034233-8
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Online
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English
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Conference paper
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Konidena A., Iilm University, Department of Cse, Uttar Pradesh, Greater Noida, India; Shanbhog M., Christ University, Department of Computer Science, Uttar Pradesh, Ghaziabad, India; Singh S., School of Computing MIT-ADTU, Department of Information Technology, Pune, India; Sharma V., Graphic Era Hill University, Uttarakhand, Dehradun, India; Jain A.K., Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India; Sharma N., Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
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Articles
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Faculty Publications -Articles
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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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Efficient feature fusion model withmodified bidirectional LSTM for automatic Parkinson's disease classification
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Enhanced sunflower optimisation; Gait recognition; GAIT-IT; GAIT-ITS; Improved convolutional neural network; Median filter; Modified bidirectional LSTM; Parkinsons disease
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The majority of people affected by Parkinsons disease (PD) are middle-aged and older. The condition causes a variety of severe symptoms, including tremors, limited flexibility, and slow movements. As Parkinsons disease develops with changing symptoms and growing severity, the importance of computer-aided diagnosis based on algorithms cannot be highlighted. Gait recognition technology appears to be a potential path for Parkinson's disease identification since it captures unique properties of a persons walking pattern without requiring active participation, providing stability and non-intrusiveness. To begin,the median filter is used to remove noise from the input images received during data collection. This paper describes a new method for finding local and global features in gait images to assess the severity of Parkinsons disease.Local features are extracted using a stacked autoencoder, and global features are obtained using an Improved Convolutional Neural Network (ICNN). The Enhanced Sunflower Optimisation (ESO) technique is used to improve the CNN model's performance by optimizing hyperparameters such as batch size, learning rate, and number of convolutional layers. To classify PD severity, a modified bidirectional LSTM (MBi-LSTM) classifier receives input in the form of a combination of local and global features. The proposed model's performance is completely evaluated with the GAIT-IT and GAIT-IST datasets, which include key measures such as accuracy, precision, recall, and the F-measure. This study improves the diagnosis of Parkinsons disease by introducing a non-intrusive real-time monitoring system capable of early detection and prevention. Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.
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Reshma S.; Chennakesavulu M.; Patil S.S.; Lamani M.R.
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International Journal of Information Technology (Singapore), Vol-16, No. 6, pp. 3963-3971.
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Springer Science and Business Media B.V.
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2024-01-01
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<a href="https://doi.org/10.1007/s41870-024-01886-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-024-01886-y</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191988973&doi=10.1007%2Fs41870-024-01886-y&partnerID=40&md5=bf0d81b093125d57da7290dcd2d81d77" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191988973&doi=10.1007%2fs41870-024-01886-y&partnerID=40&md5=bf0d81b093125d57da7290dcd2d81d77</a>
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Restricted Access
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ISSN: 25112104
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Online
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English
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Article
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Reshma S., Dept of Artificial Intelligence and Machine Learning, Dayananda Sagar College of Engineering, Bangalore, India; Chennakesavulu M., Department of Electronics and Communication Engineering, Rajeev Gandhi Memorial College of Engineering and Technology (Autonomous), Andhra Pradesh, Nandyal, 518501, India; Patil S.S., Rajarambapu Institute of Technology, Rajaramnagar, Uran Islampur, India; Lamani M.R., CHRIST(Deemed to Be University), Kanmanike, Kumbalgudu, Mysore Road, Karnataka, Bangalore, 560074, India