75 20 11858 https://archives.christuniversity.in/files/original/6fdc6c1f3965d00358703b3564ac7eae.pdf 77beba54c5af80871c101f6a99b54f81 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Thesis PhD PhD Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Autonomic Systems Approach To Online Retail / Subject The topic of the resource Computer Science Creator An entity primarily responsible for making the resource Kurian, Devasia. - 1145002 Publisher An entity responsible for making the resource available CHRIST (Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2015-12-22 Language A language of the resource English Type The nature or genre of the resource PhD https://archives.christuniversity.in/files/original/ed12641196017cba35f8f691a892368b.pdf 8a9c50e2ffbe909b6631dfbab5c822e8 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MPHIL Mphil Mphil Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Autonomic Systems approach to Online Retail Systems Creator An entity primarily responsible for making the resource Kurian Devasia Date A point or period of time associated with an event in the lifecycle of the resource 2010 Source A related resource from which the described resource is derived Computer Science Description An account of the resource In 2003, IBM released a document presenting its vision of autonomic computing. In this article, the author observes that the ever increasing complexity of computing systems will cross the borders of human capabilities, leading to systems that are too complex to be administrated by human beings. System administrators will no longer be able to install, configure, maintain and optimize these computing systems of the future. The solution to this problem is developing a technology that allows computing systems to manage themselves. This solution is referred to as autonomic computing. In today??s economic scenario, Online Retail Systems are gaining prominence and day by day increasing in size, leading to complexities difficult to be managed by human beings. E-Commerce Shops with thousands of articles are becoming the rule of the day. With hundreds of articles being added everyday, the administration required for efficient management of these articles, especially display selection, rejection etc are becoming a mind boggling task for human beings to manage. Parallel developments in study of buying behaviors based on various techniques like data mining, decision trees, neural networks etc are gaining significant practical ground, which also increases the complexity to be managed. The basic idea is lay foundation for creation of autonomic systems based on the outputs from behavioral study, inventory management, etc to autonomically handle management of display, inventory predictions etc. The efficiencies achieved should in turn result in higher revenue as well as profits. In short, the study intends to explore the feasibility of applying autonomic techniques for efficient display organization in online retail contexts by borrowing the intelligence from techniques evolving from data mining, artificial intelligence. This paper will address the development of a taxonomy, a model framework for ??autonomic online retail?? systems and the application of related standards. It will also delve into the theoretical background of specific techniques, which can be applied in this scenario. A basic model of the framework is also implemented. The complete implementation of the framework and measurement of the efficiency gains and other effects will be continued in the doctoral research. The design of the framework and also the measurement framework is being discussed in this document. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Early Detection of Autism Spectrum Disorder Using PDNN and ABIDE I&II Dataset Subject The topic of the resource ABIDE I; ABIDE II; ASD; DL; fMRI; ML; rsfMRI Description An account of the resource The current study's objective was to use deep learning methods to separate valetudinarians amidst autism spectrum disorders (ASDs) from controls employing just the patients brain activation patterns from a dataset of large brain images. We examined brain imaging data from ASD patients from the global, multi-site ABIDE dataset (Autism Brain Imaging Data Exchange). Social impairments and repetitive behaviors are hallmarks of the brain condition known as autism spectrum disorder (ASD). ASD affects one in every 68 kids in the USA, as of the most recent data from the Disease Control Centers. To understand the neurological patterns that arose from the categorization, we looked into functional connectivity patterns that can be used to diagnose ASD participants precisely. The outcomes raised the state of the art by correctly identifying 72.10% of ASD patients in the sample vs. control patients. The classification patterns revealed an anti-correlation between the function of the brain's anterior and posterior regions; this anti-correlation supports the empirical data currently showing achingly ASD impedes communication between the livid brain's anterior and posterior areas. We found and pinpointed brain regions damn frolic, distinguishing ASD among typically developing reign according to our deep learning model. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024. Creator An entity primarily responsible for making the resource Lamani M.R.; Julian Benadit P. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-844, pp. 295-310. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-8479-4_22" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-8479-4_22</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181985509&doi=10.1007%2F978-981-99-8479-4_22&partnerID=40&md5=604bbec6b761e3ad6356f75166904f90" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181985509&doi=10.1007%2f978-981-99-8479-4_22&partnerID=40&md5=604bbec6b761e3ad6356f75166904f90</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981998478-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Lamani M.R., CHRIST (Deemed to be University), Kanmanike, Kumbalgudu, Mysor Road, Karnataka, Bangalore, 560074, India; Julian Benadit P., CHRIST (Deemed to be University), Kanmanike, Kumbalgudu, Mysor Road, Karnataka, Bangalore, 560074, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Early-Stage Diabetes Symptoms Detection Prototype using Ensemble Learning Subject The topic of the resource Diabetes; Ensemble Learning; Healthcare; Machine Learning; Smart App Description An account of the resource Diabetes is one of the most increasing health issues that the whole world is facing. Recent research has shown that diabetes is spreading quickly in India. Having more than 77 million sufferers, India is actually regarded as the diabetes capital of the world. The lifestyle and eating patterns of people who move from rural to urban settings alter, which raises the prevalence of diabetes. Diabetes has been linked to consequences like vision loss, renal failure, nerve damage, cardiovascular disease, foot ulcers, and digestive issues. Diabetes can harm the blood arteries and neurons in a variety of organs. FPG (Flaccid Plasma Glucose) is a popular test that is done to find out whether a person is a diabetic patient or not. However, not all people consistently take medication and neither monitor their blood sugar levels on a regular basis. Early detection of this disease is also an important thing that people usually don't do. Technology these days has emerged a lot in the healthcare zone. Many prototypes have already been made for the detection of diabetes. The prototype discussed in this paper is an ensemble learning approach for the detection of diabetes in a very early stage. Ensemble learning which includes the use of multiple model prediction has been used to make the outcome stronger and more trustworthy. The overall accuracy achieved by the model is 96.54%. XGBoost also records the minimal execution time of 2.77 seconds only. 2023 IEEE. Creator An entity primarily responsible for making the resource Nandi A.; Pal S.; Mishra A.; Sharma V.; Mishra S.; Alkhayyat A. Source A related resource from which the described resource is derived Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023, pp. 507-512. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IC3I59117.2023.10397726" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC3I59117.2023.10397726</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187308590&doi=10.1109%2FIC3I59117.2023.10397726&partnerID=40&md5=5a1114abccb6de562167fe638604c5c3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187308590&doi=10.1109%2fIC3I59117.2023.10397726&partnerID=40&md5=5a1114abccb6de562167fe638604c5c3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030448-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nandi A., Kalinga Institute of Industrial Technology, Deemed to Be University, Bhubaneswar, India; Pal S., Kalinga Institute of Industrial Technology, Deemed to Be University, Bhubaneswar, India; Mishra A., Kalinga Institute of Industrial Technology, Deemed to Be University, Bhubaneswar, India; Sharma V., CHRIST (Deemed to Be University), Computer Science Department, Delhi NCR, India; Mishra S., Kalinga Institute of Industrial Technology, Deemed to Be University, Bhubaneswar, India; Alkhayyat A., College of Technical Engineering, The Islamic University, Najaf, Iraq Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Reviews Review Faculty Publications- Reviews Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An ecology intervention in an English studies programme: Contexts, Complexities and Choices Subject The topic of the resource Anthropocentrism; Bioregionalism; Ecocriticism; Ecofeminism; Ecology; Empiricism; English studies; Instrumental rationality Description An account of the resource Over the past few decades, there has been a critical mass gained regarding the need to engage purposefully with Ecology. Unfortunately, this has not provoked any stimulating work within the Humanities and Social Sciences academia. In fact, alongside growing realisations about the necessity to address Ecology, there is a glaring absence of any significant engagement. In response to such a vexing reality, the Department of English at Christ University chose to initiate an Ecological venture within its Honours programme. This paper captures - the vigorous debates it lit up, the tough choices that had to be made, and the promise it offers - that complex journey. 2014 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (Dharmaram Vidya Kshetram, Bangalore). Creator An entity primarily responsible for making the resource Padmakumar M.M. Source A related resource from which the described resource is derived Journal of Dharma, Vol-39, No. 1, pp. 7-20. Publisher An entity responsible for making the resource available Dharmaram College, Centre for the Study of World Religions Date A point or period of time associated with an event in the lifecycle of the resource 2014-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84942037520&partnerID=40&md5=f3b3cc96c5b5964dcdade86c06da9e13" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84942037520&partnerID=40&md5=f3b3cc96c5b5964dcdade86c06da9e13</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2537222 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Padmakumar M.M., Department of English, Christ University, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Econometric Approach Towards Exploring the Impact of Workers Remittances on Inflation: Empirical Evidence from India Subject The topic of the resource Consumer price index; Exchange rate; GDP; Granger causality; Inflation; Money supply; Vector autoregression; Wholesale price index; Workers remittances Description An account of the resource This paper attempts to study short and long run impact of increased workers remittances on general price level. It uses the real GDP growth, real effective exchange rate (REER), M3 (broad money), fiscal deficit to gauge the impact of foreign remittances on inflation. The study makes use of VAR/VECM framework to gauge the impact of workers remittances on inflation. Inflation is measured in terms of CPI and WPI, real income or GDP at constant prices is taken as a measure of GDP growth, REER is used for exchange rates and M3 is taken as a proxy for money supply. Monthly data of all these variables has been taken from Bloomberg and World Bank data base. The findings provide important insights into the nature of association between remittances and inflation suggesting causality between inflation, remittances, real GDP, real effective exchange rates and money supply due to increased workers remittances. The findings have policy implications for decisions to channelize workers remittances in a way to increase real GDP growth and money supply while at the same time not causing the general price levels to soar. The present study focuses on how increased (decreased) workers remittances is leading to increase (decrease) in general price levels in India. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Jain V.; Mathur M. Source A related resource from which the described resource is derived Springer Proceedings in Business and Economics, pp. 293-303. Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-7818-9_14" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-7818-9_14</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125316330&doi=10.1007%2F978-981-16-7818-9_14&partnerID=40&md5=5d56d26efb056e3d4595a0047e188e52" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125316330&doi=10.1007%2f978-981-16-7818-9_14&partnerID=40&md5=5d56d26efb056e3d4595a0047e188e52</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21987246; ISBN: 978-981167817-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jain V., Christ (Deemed University), Pune, Lavasa, India; Mathur M., Manipal University Jaipur, Jaipur, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource AN ECONOMIC RELIABILITY TEST PLAN BASED ON TRUNCATED LIFE TESTS FOR MARSHALL-OLKIN POWER LOMAX DISTRIBUTION WITH APPLICATIONS Subject The topic of the resource ASP; consumers risk; Lomax model; OC function; producers risk; truncated life tests Description An account of the resource In every competitive enterprise, there has been a resurgence of interest in increasing the quality of products. In this paper, we create new acceptance sampling plans based on truncated life tests for the Marshall-Olkin power Lomax distribution. The minimum sample sizes needed to declare the specified mean life with respect to the newly developed sampling plans are obtained for different values of the model parameters. Besides, the operating characteristic function values, minimum ratios of the true value and the required value of the parameter with a given producer risk are discussed. Moreover, the results are illustrated using numerical examples, and a real data set is considered to illustrate the functioning of the recommended acceptance sampling plans. The result shows that the proposed plan is more adequate compared with other acceptance sampling plans available in the open literature. So, it can be used for industry applications. 2010 Mathematics Subject Classification. 60E05, 62E15, 62F10. 2022, Asia Pacific Academic. All rights reserved. Creator An entity primarily responsible for making the resource Gillariose J.; Tomy L.; Chesneau C. Source A related resource from which the described resource is derived Asia Pacific Journal of Mathematics, Vol-9 Publisher An entity responsible for making the resource available Asia Pacific Academic Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.28924/APJM/9-12" target="_blank" rel="noreferrer noopener">https://doi.org/10.28924/APJM/9-12</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130722311&doi=10.28924%2FAPJM%2F9-12&partnerID=40&md5=575fe08745e2af034a8c1f9c30ef73b8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130722311&doi=10.28924%2fAPJM%2f9-12&partnerID=40&md5=575fe08745e2af034a8c1f9c30ef73b8</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23572205 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., Department of Statistics, CHRIST (Deemed to be University), India; Tomy L., Department of Statistics, Deva Matha College, India; Chesneau C., Department of Mathematics, Universitde Caen, France Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Effecient Approach to Detect Fraud Instagram Accounts Using Supervised ML Algorithms Subject The topic of the resource Decision Tree; Fake account; Fraud-Detection; Instagram; Logistic Regression; Random Forest; SVM Description An account of the resource Nowadays social media plays a vital role in different fields including business, economic communication and personal. Many person get profit from the different origins of availability of data from these social media, but cyber-crimes are increasing day by day. A person can generate many fake accounts and hence pretenders can easily be made. Instagram, as one of the popular types of online social media site, carries big information and messages through the posts. Most of the person use Instagram as a digital life marketing place because it is a one of the big social media site. The goal of the research paper is to recognize and stop fake IDs and pages. Because through the professional pages of Instagram, many fake cases and things are occurring present days. So the main thing is to recognize fake pages and fake accounts also. In this paper, we work on various IDs of Instagram. We want to observe an ID is real or not using Machine Learning techniques namely Logistic Regression, Naive Bayes, Support vector machine, Decision tree, Random Forest. 2022 IEEE. Creator An entity primarily responsible for making the resource Das S.; Saha S.; Vijayalakshmi S.; Jaiswal J. Source A related resource from which the described resource is derived Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 760-764. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAC3N56670.2022.10074364" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N56670.2022.10074364</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152196147&doi=10.1109%2FICAC3N56670.2022.10074364&partnerID=40&md5=b03c44a16981688893d5acc57e72c5d8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152196147&doi=10.1109%2fICAC3N56670.2022.10074364&partnerID=40&md5=b03c44a16981688893d5acc57e72c5d8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547436-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Das S., Christ University, India; Saha S., Christ University, India; Vijayalakshmi S., Christ University, India; Jaiswal J., Christ University, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An effective analytical method for fractional Brusselator reactiondiffusion system Subject The topic of the resource applied mathematics; fractional derivative and integrals; reactiondiffusion equation; residual power series method Description An account of the resource In recent years, reactiondiffusion models have attracted researchers for their wide applications. In this article, we consider Brusselator reactiondiffusion system (BRDS), which is known for its cross diffusion and pattern formations in biology and chemistry. We derive an analytical solution of the fractional Brusselator reactiondiffusion system (FBRDS) with the help of the initial condition by a novel method, residual power series method (RPSM). The system solution has been analyzed by graph. 2023 John Wiley & Son Ltd. Creator An entity primarily responsible for making the resource Nisar K.S.; Jagatheeshwari R.; Ravichandran C.; Veeresha P. Source A related resource from which the described resource is derived Mathematical Methods in the Applied Sciences, Vol-46, No. 18, pp. 18749-18758. Publisher An entity responsible for making the resource available John Wiley and Sons Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/mma.9589" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/mma.9589</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166508922&doi=10.1002%2Fmma.9589&partnerID=40&md5=852e621da8649f5fdb69b373eeda29f6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166508922&doi=10.1002%2fmma.9589&partnerID=40&md5=852e621da8649f5fdb69b373eeda29f6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1704214; CODEN: MMSCD Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nisar K.S., Department of Mathematics, College of Science and Humanities in Alkharj, Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia; Jagatheeshwari R., Department of Mathematics, Kumaraguru College of Liberal Arts and Science, Tamilnadu, Coimbatore, India; Ravichandran C., Department of Mathematics, Kongunadu Arts and Science College, Tamilnadu, Coimbatore, India; Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An effective Approach for Pneumonia Detection using Convolution Vision Transformer Subject The topic of the resource Chest X-ray; Convolution Neural Network; Convolutional Vision Transformer; Deep Learning; Detection; Pneumonia; Vision Transformation Description An account of the resource Early detection of pneumonia in patients through effective medical imaging may enable timely remedial measures and reduce the severity of the infection. There is an increase in cases among new-borns, teenagers and also people with health issues in recent years. The COVID-19 pandemic also revealed the major impact pneumonia had on the lungs and the consequences of delayed detection. The presence of the infection in the lungs is examined through images of Chest X-ray, however, for an early diagnosis of the infection, this paper proposes an automated model as a more effective alternative. Convolutional Vision Transformer (CVT) which gives an accuracy of 97.13%, and is a robust combination of Convolution and Vision Transformer (ViT), is suggested in this paper as a potential model to detect pneumonia early in patients. 2022 IEEE. Creator An entity primarily responsible for making the resource Gupta S.; Rodrigues A.; Joshi P.; George J. Source A related resource from which the described resource is derived 2022 International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TQCEBT54229.2022.10041662" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT54229.2022.10041662</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149182726&doi=10.1109%2FTQCEBT54229.2022.10041662&partnerID=40&md5=15acdaed24c16c6424566f6ee591b628" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149182726&doi=10.1109%2fTQCEBT54229.2022.10041662&partnerID=40&md5=15acdaed24c16c6424566f6ee591b628</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166545361-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gupta S., CHRIST (Deemed to Be University), India; Rodrigues A., CHRIST (Deemed to Be University), India; Joshi P., CHRIST (Deemed to Be University), India; George J., CHRIST (Deemed to Be University), India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Effective BiLSTM-CRF Based Approach to Predict Student Achievement: An Experimental Evaluation Subject The topic of the resource Bidirectional Long Short-Term Memory (Bi-LSTM); Gated Convolution (GC); Self - Attention (SA) Description An account of the resource Currently, massive volumes of data are accumulated in databases when people configure new requirements and services. Data mining techniques and intelligent systems are emerging for managing large amounts of data and extracting actionable insights for policy development. As digital technology has grown, it has naturally become intertwined with e-learning practices. In order to facilitate communication between instructors and a diverse student body located all over the world, distance learning programs rely on Learning Management Systems (LMSs). Colleges can better accommodate their students' individual needs by using and analyzing interaction data that reveals variances in their learning progress. Predicting pupils' success or failure is a breeze with the help of learning analytics tools. Better learning outcomes might be achieved through early prediction leading to swift focused action. Preprocessing, feature selection, and model training are the three components of the proposed method. Data cleansing, data transformation, and data reduction are the preprocessing steps used here. It used a CFS to enable feature selection. This study has used a BiLSTM-CRF hybrid approach to train the model. When compared to tried-and-true techniques like CNN and CRF, the proposed method performs effectively. 2024 IEEE. Creator An entity primarily responsible for making the resource Manigandan E.; Anispremkoilraj P.; Suresh Kumar B.; Satre S.M.; Chauhan A.; Jeyaganthan C. Source A related resource from which the described resource is derived 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024, pp. 779-784. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IDCIoT59759.2024.10467973" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IDCIoT59759.2024.10467973</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190148893&doi=10.1109%2FIDCIoT59759.2024.10467973&partnerID=40&md5=aea52580983eefb6edc5e0fd2b555c4c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190148893&doi=10.1109%2fIDCIoT59759.2024.10467973&partnerID=40&md5=aea52580983eefb6edc5e0fd2b555c4c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835032753-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Manigandan E., Saveetha College of Liberal Arts and Sciences, SIMATS, Department of Computer Applications, Tamilnadu, Chennai, India; Anispremkoilraj P., KSR Institute for Engineering and Technology, Tiruchengode, India; Suresh Kumar B., Chaitanya Bharathi Institute of Technology, Dept of EEE, Telangana, Hyderabad, India; Satre S.M., Bharati Vidyapeeth College of Engineering, Department of Information Technology, Navi Mumbai, India; Chauhan A., School of Sciences, CHRIST (Deemed to Be University), Department of Life Sciences, Bengaluru, Karnataka, India; Jeyaganthan C., AMET Business School, AMET University, Chennai, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Effective Deep Learning Classification of Diabetes Based Eye Disease Grades: An Retinal Analysis Approach Subject The topic of the resource Classification; Deep learning; Densenet; Diabetes retinopathy; Feature extraction; Feature selection; Particle Swarm Optimization Description An account of the resource Diabetic Retinopathy (DR) is a common misdiagnosis of diabetes mellitus, which damages the retina and impairs eyesight. It can lead to vision impairment if it is not caught early. Tragically, DR is an unbreakable cycle, and treatment only serves to reinforce the perception. Early detection of DR and effective treatment can significantly lower the risk of visual loss. In comparison to PC-aided conclusion frameworks, the manual analysis process used by ophthalmologists to diagnose DR retina fundus images takes a lot of time, effort, and money and is prone to error. As of late, profound learning has become quite possibly the most well-known procedure that has accomplished better execution in numerous areas, particularly in clinical picture examination and classification. Thereby, this paper brings an effective deep learning-based diabetes-based retinography in which the following are the stages: a) Data collection from MESSIDOR which contains 1200 images classified into 4 levels and graded from 03 followed by b) Preprocessing using grayscale normalized data. Then followed by c) feature extraction using Discrete Wavelet Transform (DWT), d) feature selection using Particle Swarm Optimization (PSO) and finally given for e) classification using Densenet 169. Experimental states that the proposed model outperforms and effectively classified grades compared to other state-of-art models (accuracy:0.95, sensitivity:0.96, specificity;0.97). 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Ajesh F.; Jims A.; Alapatt B.P.; Philip F.M. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-649 LNNS, pp. 234-244. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-27499-2_22" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-27499-2_22</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152560405&doi=10.1007%2F978-3-031-27499-2_22&partnerID=40&md5=767deec2ebe66f7cf4d6d49b02c06cd6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152560405&doi=10.1007%2f978-3-031-27499-2_22&partnerID=40&md5=767deec2ebe66f7cf4d6d49b02c06cd6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-303127498-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ajesh F., Department of Computer Science and Engineering, Sree Buddha College of Engineering, Kerala, Alappuzha, India; Jims A., JAIN (Deemed-to-be University), Bangalore, India; Alapatt B.P., CHRIST (Deemed to be University), Delhi-NCR, India; Philip F.M., JAIN (Deemed-to-be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An effective face recognition system based on Cloud based IoT with a deep learning model Subject The topic of the resource Cloud; Deep learning; Deep neural network; Edge computing; IoT Description An account of the resource As of late, the Internet of Things (IoT) innovation has been utilized in applications, for example, transportation, medical care, video observation, and so on. The quick appropriation and development of IoT in these segments are producing an enormous measure of information. For instance, IoT gadgets, for example, cameras produce various pictures when utilized in medical clinic reconnaissance sees. Here, face acknowledgement is one of the most significant instruments that can be utilized for clinic affirmations, enthusiastic discovery, and identification of patients, location of fake gadgets. patient, and test clinic models. Programmed and shrewd face acknowledgement frameworks are profoundly precise in an overseen climate; notwithstanding, they are less exact in an unmanaged climate. Additionally, frameworks must keep on running on numerous occasions in different applications, for example, insightful wellbeing. This work presents a tree-based profound framework for programmed face acknowledgement in a cloud climate. The inside and out pattern have been proposed to cost less for the PC without focusing on unwavering quality. In the model, the additional size is isolated into a few sections, and a stick is made for each part. The tree is characterized by its branch area and stature. The branches are spoken to by a leftover capacity, which comprises of a twofold layer, a stack game plan, and a non-direct capacity. The proposed technique is assessed in an assortment of generally accessible information bases. An examination of the method is likewise finished with top to bottom craftsmanship models for the eye to eye connection. The aftereffects of the tests indicated that the example was considered to have accomplished a precision of 98.65%, 99.19%, and 95.84%. 2020 Creator An entity primarily responsible for making the resource Chauhan D.; Kumar A.; Bedi P.; Athavale V.A.; Veeraiah D.; Pratap B.R. Source A related resource from which the described resource is derived Microprocessors and Microsystems, Vol-81 Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.micpro.2020.103726" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.micpro.2020.103726</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098459051&doi=10.1016%2Fj.micpro.2020.103726&partnerID=40&md5=6b75cb583d66dd2a3b45ac8179d0ee80" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098459051&doi=10.1016%2fj.micpro.2020.103726&partnerID=40&md5=6b75cb583d66dd2a3b45ac8179d0ee80</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1419331; CODEN: MIMID Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chauhan D., Department of Computer Science & Engineering, Shivajirao Kadam Institute of Technology & Management, Indore, Madhya Pradesh, India; Kumar A., Assistant Professor &Director (Hon.), P.G. Department Of Law, Centre for Cyber Law and Policy Research, SRNCT, Faculty of Legal Studies, M.J.P. Rohilkhand University, Bareilly, Uttar Pradesh, India; Bedi P., Associate Professor, Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun, Uttarakhand, India; Athavale V.A., Department of Computer Science and Engineering, Panipat Institute of Engineering & Technology, Panipat, Haryana, India; Veeraiah D., Department of Computer Science and Engineering, Lakireddy Bali Reddy College of Engineering (A), Mylavaram, Krishna Dt., Andhra Pradesh, India; Pratap B.R., Department of Computer Science & Engineering, CHRIST (Deemed to be University), Bengaluru, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Effective Strategy and Mathematical Model to Predict the Sustainable Evolution of the Impact of the Pandemic Lockdown Subject The topic of the resource COVID-19; epidemiology; mathematical model; ordinary differential equations; SEIHRD Description An account of the resource There have been considerable losses in terms of human and economic resources due to the current coronavirus pandemic. This work, which contributes to the prevention and control of COVID-19, proposes a novel modified epidemiological model that predicts the epidemics evolution over time in India. A mathematical model was proposed to analyze the spread of COVID-19 in India during the lockdowns implemented by the government of India during the first and second waves. What makes this study unique, however, is that it develops a conceptual model with time-dependent characteristics, which is peculiar to Indias diverse and homogeneous societies. The results demonstrate that governmental control policies and suitable public perception of risk in terms of social distancing and public health safety measures are required to control the spread of COVID-19 in India. The results also show that Indias two strict consecutive lockdowns (21 days and 19 days, respectively) successfully helped delay the spread of the disease, buying time to pump up healthcare capacities and management skills during the first wave of COVID-19 in India. In addition, the second waves severe lockdown put a lot of pressure on the sustainability of many Indian cities. Therefore, the data show that timely implementation of government control laws combined with a high risk perception among the Indian population will help to ensure sustainability. The proposed model is an effective strategy for constructing healthy cities and sustainable societies in India, which will help prevent such a crisis in the future. 2022 by the authors. Licensee MDPI, Basel, Switzerland. Creator An entity primarily responsible for making the resource Harjule P.; Poonia R.C.; Agrawal B.; Saudagar A.K.J.; Altameem A.; Alkhathami M.; Khan M.B.; Hasanat M.H.A.; Malik K.M. Source A related resource from which the described resource is derived Healthcare (Switzerland), Vol-10, No. 5 Publisher An entity responsible for making the resource available MDPI Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/healthcare10050759" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/healthcare10050759</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129155096&doi=10.3390%2Fhealthcare10050759&partnerID=40&md5=810ac6d79a12a8bd8e9fc17f2eaaccb6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129155096&doi=10.3390%2fhealthcare10050759&partnerID=40&md5=810ac6d79a12a8bd8e9fc17f2eaaccb6</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 22279032 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Harjule P., Department of Mathematics, Malaviya National Institute of Technology (MNIT), Jaipur, 302017, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Agrawal B., Department of Computer Science Engineering, Indian Institute of Information Technology Kota, MNIT Campus, Jaipur, 302017, India; Saudagar A.K.J., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Altameem A., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Alkhathami M., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Khan M.B., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Hasanat M.H.A., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Malik K.M., Department of Computer Science and Engineering, Oakland University, Rochester, 48309, MI, United States Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Effective Time Series Analysis for Equity Market Prediction Using Deep Learning Model Subject The topic of the resource Deep Learning; Long Short Term Memory; Recurrent Neural Network; Stock Price Prediction Description An account of the resource A stock Exchange is a market where securities are traded. Every day, billions are traded at various stock exchanges across the world. In recent years prediction of movement of stock market is regarded as fascinating and has created a demand in financial market time series prediction. A precise forecasting of equity market is needed to provide higher returns for investors. Since there is high complexity in predicting stock market profits, developing models for it becomes difficult. The data mining and machine learning techniques has played an important role in Prediction of stock market movement. This study attempted to develop a deep learning model using Recurrent Neural Network for forecasting movement in the National Stock Exchange of India's benchmark broad based stock market index(NIFTY 50) for the Indian equity market. In this paper the NIFTY 50 index and INFYOSYS Ltd historical data from Yahoo finance companies has been selected for forecasting and analysis. 2019 IEEE. Creator An entity primarily responsible for making the resource Sachdeva A.; Jethwani G.; Manjunath C.; Balamurugan M.; Krishna A.V.N. Source A related resource from which the described resource is derived 2019 International Conference on Data Science and Communication, IconDSC 2019 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IconDSC.2019.8817035" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IconDSC.2019.8817035</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072782238&doi=10.1109%2FIconDSC.2019.8817035&partnerID=40&md5=2587cbd9a6758a43bfb8894496348c8a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072782238&doi=10.1109%2fIconDSC.2019.8817035&partnerID=40&md5=2587cbd9a6758a43bfb8894496348c8a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-153869319-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sachdeva A., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Jethwani G., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Manjunath C., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Balamurugan M., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Krishna A.V.N., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India https://archives.christuniversity.in/files/original/2b12044948c973986593c6a40d89e7a9.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An effectuation perspective on the development of global e-commerce among small and medium-sized / Subject The topic of the resource Computer Science Description An account of the resource Patent Number: 202211041077, Applicant: Amrita Chaurasia. E-commerce that spans international borders makes it possible for smaller businesses to more swiftly penetrate many international marketplaces. The purpose of this article is to investigate the ways in which effective market creation influences the international performance of small and medium-sized businesses (SMEs) that are involved in international e-commerce. Using the effectuation theory as a foundation, we propose that businesses can generate demand in foreign markets by developing innovative new ways for customers to interact and engage with them in the digital world. Creator An entity primarily responsible for making the resource Chaurasia, Amrita. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1N9o9iePfCzoT9GrbcgDNt4SuVQn7VawT/view" target="_blank" title="An effectuation perspective on the development of global e-commerce among small and medium-sized /" rel="noreferrer noopener">https://drive.google.com/file/d/1N9o9iePfCzoT9GrbcgDNt4SuVQn7VawT/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An efficient 2-Step DNA symmetric cryptography algorithm based on dynamic data structures Subject The topic of the resource Bio-computing; Bio-Encryption; Cryptography; DNA; DNA Cryptography; Security Description An account of the resource The security of text has become highly demanding in today's fast growing networking world. DNA computing is one of the emerging technologies in the arena of huge data storage and parallel computation. A single gram of DNA holds 5.5 petabytes of data. This leads to the increased risk in data communication. DNA in computers is mapped to human genome. Thus, the sequence of nucleotide base constructs the foundation of uniqueness. In this paper, a new scheme acronymed as -'Cryptography on DNA Storage'-CDS is provided. It performs the DNA data encryption in just two-step by using random private key for each letter in the plaintext and parallel swapping of the resultant text in small clusters. It is discussed keeping the time and space complexity of the algorithm in concern. 2018 Authors. Creator An entity primarily responsible for making the resource George J.P.; Kureethara J.V. Source A related resource from which the described resource is derived International Journal of Engineering and Technology(UAE), Vol-7, No. 2, pp. 141-146. Publisher An entity responsible for making the resource available Science Publishing Corporation Inc Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.14419/ijet.v7i2.6.10140" target="_blank" rel="noreferrer noopener">https://doi.org/10.14419/ijet.v7i2.6.10140</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044073105&doi=10.14419%2Fijet.v7i2.6.10140&partnerID=40&md5=20ba61ca2c85c96749122aeb26a54ce1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044073105&doi=10.14419%2fijet.v7i2.6.10140&partnerID=40&md5=20ba61ca2c85c96749122aeb26a54ce1</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 2227524X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant George J.P., Christ Institute of Management, Lavasa, Pune, India; Kureethara J.V., CHRIST (Deemed to be University), India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource AN EFFICIENT ACCESS POLICY WITH MULTI-LINEAR SECRET-SHARING SCHEME IN CIPHERTEXT-POLICY ATTRIBUTE-BASED ENCRYPTION Subject The topic of the resource Access Policy; Ciphertext Policy Attribute Based Encryption; Encryption; Multi-Linear Secret-Sharing Scheme Description An account of the resource Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is a system in which attribute are used for user's identity and data owner determine the access policy to the data to be encrypt. Here access policy are attached with the ciphertext. In the form of a monotone Boolean formula monotone access structure, an access policy can be interpreted and a linear secret-sharing scheme (LSSS) can be implemented. In recent CP-ABE schemes, LSSS is a matrix whose row represent attributes and there exist a general algorithm which is proposed by Lewko and Waters it transforms a Boolean formula into corresponding LSSS matrix. But we may want to transform the monotone Boolean formula to an analogous but compressed formula first before applying the algorithm. This is a very complex procedure and require efficient optimization algorithm for obtaining equivalent but smaller size Boolean formula. So in this paper we are introducing an extended LSSS called multi-linear secret-sharing scheme where we can eliminate above optimization algorithm and directly convert any Boolean formula to multi-linear secret-sharing scheme. 2022 Little Lion Scientific. All rights reserved. Creator An entity primarily responsible for making the resource Ancy P.R.; Krishna A.V.N.; Balachandran K.; Balamurugan M. Source A related resource from which the described resource is derived Journal of Theoretical and Applied Information Technology, Vol-100, No. 5, pp. 1404-1411. Publisher An entity responsible for making the resource available Little Lion Scientific Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127504691&partnerID=40&md5=ec217f4a3723509bf53b706ec244f0d3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127504691&partnerID=40&md5=ec217f4a3723509bf53b706ec244f0d3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19928645 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ancy P.R., CSE Dept, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Krishna A.V.N., CSE Dept, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Balachandran K., CSE Dept, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Balamurugan M., CSE Dept, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An efficient adaptive reconfigurable routing protocol for optimized data packet distribution in network on chips Subject The topic of the resource Dynamic XY routing algorithm; Network on chip; Random traffic profile; System on chip; Transpose traffic profile Description An account of the resource The deadlock-free and live lock-free routing at the same time is minimized in the network on chip (NoC) using the proposed adoptive reconfigurable routing protocol (ARRP). Congestion condition emergencies are avoided using the proposed algorithm. The input packet distribution process is improved among all its shortest paths of output points. The performance analysis has been initiated by considering different configuration (N*N) mesh networks, by sending various ranges of data packets to the network on chip. The average and maximum power dissipation of XY, odd-even, Dy-XY algorithm, and proposed algorithm are determined. In this paper, an analysis of gate utilization during data packet transfer in various mesh configurations is carried out. The number of cycles required for each message injection in different mesh configurations is analyzed. The proposed routing algorithm is implemented and compared with conventional algorithms. The simulation has been carried out using reconfigurable two-dimensional mesh for the NoC. The proposed algorithm has been implemented considering array size, the routing operating frequency, link width length, value of probability, and traffic types. The proposed ARRP algorithm reduces the average latency, avoids routing congestion, and is more feasible for NoC compared to conventional methods. 2024 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Sukumar P.G.; Krishnaiah M.; Velluri R.; Satish P.; Nagaraju S.; Puttaswamy N.G.; Srikantaswamy M. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-14, No. 1, pp. 305-314. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v14i1.pp305-314" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v14i1.pp305-314</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183651138&doi=10.11591%2Fijece.v14i1.pp305-314&partnerID=40&md5=6a2df4965e88480bb8e309e96cce4627" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183651138&doi=10.11591%2fijece.v14i1.pp305-314&partnerID=40&md5=6a2df4965e88480bb8e309e96cce4627</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20888708 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sukumar P.G., Department of Computer Science and Engineering, JSS Academy of Technical Education, Bangalore, India; Krishnaiah M., Department of Electronics and Communications, Vidya Jyothi Institute of Technology, Hyderabad, India; Velluri R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Satish P., Department of Electronics and Communications, K.S. Institute of Technology, Bangalore, India; Nagaraju S., Department of Electrical and Electronics Engineering, Sri Jayachamarajendra College of Engineering, Mysore, India; Puttaswamy N.G., East Point College of Engineering and Technology, Bangalore, India; Srikantaswamy M., Department of Electronics and Communication Engineering, JSS Academy of Technical Education, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Efficient and Robust Explainable Artificial Intelligence for Securing Smart Healthcare System Subject The topic of the resource Explainable Artificial Intelligence; IoT; Security; Smart Healthcare Description An account of the resource The advent of IoT technologies has a tremendous impact on the healthcare sector enabling efficient monitoring of patients and utilizing the data for better analytics. Since every activity related to a patients health is monitored, the focus on smart healthcare applications has significantly transferred from service provision to a security perspective. As most healthcare applications are automated security plays a vital role. The technique of machine learning has been widely used in securing smart healthcare systems. The major challenge is that these applications require high-quality labeled images, which are difficult to acquire from real-time security applications. Further, it highly time-consuming and cost-expensive process. To address these constraints, in this paper, we define an efficient and robust explainable artificial intelligence technique that takes a small quantity of labeled data to train and de-ploy the security countermeasure for targeted healthcare applications. The proposed approach enhances the security measure through the detection of drifting samples with explainability. It is observed that the proposed approach improved accuracy, high fidelity, and explanation measures. Also, this approach is proven to be considerably resistant against numerous security threats. 2023 IEEE. Creator An entity primarily responsible for making the resource Seetharaman T.; Sharma V.; Balamurugan B.; Grover V.; Agnihotri A. Source A related resource from which the described resource is derived 2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023, pp. 1066-1071. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SmartTechCon57526.2023.10391664" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SmartTechCon57526.2023.10391664</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184799769&doi=10.1109%2FSmartTechCon57526.2023.10391664&partnerID=40&md5=c133e7ba5cc502b676dd4c3bda212643" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184799769&doi=10.1109%2fSmartTechCon57526.2023.10391664&partnerID=40&md5=c133e7ba5cc502b676dd4c3bda212643</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030541-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Seetharaman T., Department of CSE, CMR University, Bangalore, India; Sharma V., Computer Science Department, CHRIST (Deemed to be University), India; Balamurugan B., Shiva Nadar University, India; Grover V., School of Management, Noida Institute of Engineering and Technology, India; Agnihotri A., School of Business, Galgotias University, India