292
20
16481
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Title
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Articles
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Faculty Publications -Articles
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On the quick estimation of probability of recovery from COVID-19 during first wave of epidemic in India: a logistic regression approach
Subject
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coronavirus disease; COVID-19; epidemic; logistic regression; logit analysis; recovery estimation
Description
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The COVID-19 pandemic has recently become a threat all across the globe with the rising cases every day and many countries experiencing its outbreak. According to the WHO, the virus is capable of spreading at an exponential rate across countries, and India is now one of the worst-affected country in the world. Researchers all around the world are racing to come up with a cure or treatment for COVID-19, and this is creating extreme pressure on the policy makers and epidemiologists. However, in India the recovery rate has been far better than in other countries, and is steadily improving. Still in such a difficult situation with no effective medicine, it is essential to know if a patient with the COVID-19 is going to recover or die. To meet this end, a model has been developed in this article to estimate the probability of a recovery of a patient based on the demographic characteristics. The study used data published by the Ministry of Health and Family Welfare of India for the empirical analysis. Hemlata Joshi, S. Azarudheen, M. S. Nagaraja, Singh Chandraketu.
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Joshi H.; Azarudheen S.; Nagaraja M.S.; Chandraketu S.
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Statistics in Transition New Series, Vol-23, No. 2, pp. 197-208.
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Sciendo
Date
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2022-01-01
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<a href="https://doi.org/10.2478/stattrans-2022-0024" target="_blank" rel="noreferrer noopener">https://doi.org/10.2478/stattrans-2022-0024</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140764287&doi=10.2478%2Fstattrans-2022-0024&partnerID=40&md5=f6a7c524584f5ca3ba99be7835cf2469" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140764287&doi=10.2478%2fstattrans-2022-0024&partnerID=40&md5=f6a7c524584f5ca3ba99be7835cf2469</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 12347655
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Online
Language
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English
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Article
Coverage
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Joshi H., CHRIST (Deemed to be University), Bangalore, India; Azarudheen S., CHRIST (Deemed to be University), Bangalore, India; Nagaraja M.S., CHRIST (Deemed to be University), Bangalore, India; Chandraketu S., CHRIST (Deemed to be University), Bangalore, India
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Title
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Conference Papers
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Faculty Publications- Conference Papers
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Title
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Factors Influencing Online Shopping Behaviour: An Empirical Study of Bangalore
Subject
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Consumers; E-Commerce; Logit; Marketing; Online shopping
Description
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Online shopping is growing rapidly in India, predominantly driven by tremendous and substantial divulgatory activities among millennial consumers. Online shopping is becoming more popular and attracts significant attention because it has excellent potential for both consumers and vendors. The convenience of online shopping makes it more successful and makes it an emerging trend among consumers. When all the companies are striving against one another, certain factors influence the behavior of customers. This paper analyses the relationship between the critical, independent variables, including consumer behavior, cultural, social, personal, psychological, and marketing mix factors. The results revealed that the influence of Brand as a factor had positively influenced the customers decisions in shopping online and evaluates the customers level of satisfaction with Online shopping. Results provided in this research could be employed as reference information for Ecommerce app builders and marketers regarding such issues in the city. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Joshi H.; Binoy A.; Safna F.; David M.
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Lecture Notes in Networks and Systems, Vol-290, pp. 285-294.
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Springer Science and Business Media Deutschland GmbH
Date
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2021-01-01
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<a href="https://doi.org/10.1007/978-981-16-4486-3_31" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-4486-3_31</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115058038&doi=10.1007%2F978-981-16-4486-3_31&partnerID=40&md5=647c6f9874b767e0a0eab87475ac0bfb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115058038&doi=10.1007%2f978-981-16-4486-3_31&partnerID=40&md5=647c6f9874b767e0a0eab87475ac0bfb</a>
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ISSN: 23673370; ISBN: 978-981164485-6
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Online
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English
Type
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Conference paper
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Joshi H., Department of Statistics, CHRIST (Deemed to be University), Bangalore, India; Binoy A., Department of Statistics, CHRIST (Deemed to be University), Bangalore, India; Safna F., Department of Statistics, CHRIST (Deemed to be University), Bangalore, India; David M., Department of Statistics, CHRIST (Deemed to be University), Bangalore, India
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Conference Papers
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Title
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Enhancing Medical Decision Support Systems withtheTwo-Parameter Logistic Regression Model
Subject
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Liu estimator; Mean squared error; Multicollinearity; Ridge estimator; Two-parameter logistic regression
Description
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The logistic regression model is an invaluable tool for predicting binary response variables, yet it faces a significant challenge in scenarios where explanatory variables exhibit multicollinearity. Multicollinearity hinders the models ability to provide accurate and reliable predictions. To address this critical issue, this study introduces innovative combinations of Ridge and Liu estimators tailored for the two-parameter logistic regression model. To evaluate the effectiveness of the combination of ridge and Liu estimators under the two-parameter logistic regression, a real-world dataset from the medical domain is utilized, and Mean Squared Errors are employed as a performance metric. The findings of our investigation revealed that the ridge estimator, denoted as k4, outperforms other Liu estimators when multicollinearity is present in the data. The significance of this research lies in its potential to enhance the reliability of predictions for binary outcome variables in the medical domain. These novel estimators offer a promising solution to the multicollinearity challenge, contributing to more accurate and trustworthy results, ultimately benefiting medical practitioners and researchers alike. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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Joshi H.; Chakraborty A.
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Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. 195-202.
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
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<a href="https://doi.org/10.1007/978-981-97-0975-5_17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-0975-5_17</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197244049&doi=10.1007%2F978-981-97-0975-5_17&partnerID=40&md5=f6ddcb6e05742c0b3768b7b61e0fd06f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197244049&doi=10.1007%2f978-981-97-0975-5_17&partnerID=40&md5=f6ddcb6e05742c0b3768b7b61e0fd06f</a>
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ISSN: 23673370; ISBN: 978-981970974-8
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Online
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English
Type
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Conference paper
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Joshi H., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bangalore, India; Chakraborty A., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bangalore, India
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Title
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Book Chapter
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Title
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Unraveling the complexity of thyroid cancer prediction: A comparative examination of imputation methods and ML algorithms
Description
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Despite being relatively rare, thyroid cancer is being identified more often as a result of improved awareness and detection. Even if it has a high survival rate, it is crucial to comprehend its forms, risk factors, and therapies. Better results and prompt intervention are made possible by the early detection of thyroid cellular alterations made possible by evolving machine learning (ML) techniques. The USA Cancer Data Access System's Thyroid Cancer Factor Data, gathered from patient questionnaires, are used in this study. Missing values and imbalance in the dataset are addressed using resampling techniques (SMOTE, under-sampling) and imputation techniques (Median, KNN). To increase the accuracy of thyroid cancer prediction and improve early identification and prognoses for improved patient care, a comparative analysis of machine learning algorithms (ML) (Logistic Regression, LDA, KNN, Decision Tree, SVM, Naive Bayes) with imputation and resampling techniques is being conducted. 2024, IGI Global. All rights reserved.
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Joshi H.; Vijayalakshmi A.; George S.M.
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Intersection of AI and Business Intelligence in Data-Driven Decision-Making, pp. 367-388.
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IGI Global
Date
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2024-01-01
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<a href="https://doi.org/10.4018/979-8-3693-5288-5.ch014" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-5288-5.ch014</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215351928&doi=10.4018%2F979-8-3693-5288-5.ch014&partnerID=40&md5=e9f822045fc547e2386080211c858599" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215351928&doi=10.4018%2f979-8-3693-5288-5.ch014&partnerID=40&md5=e9f822045fc547e2386080211c858599</a>
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ISBN: 979-836935289-2; 979-836935288-5
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Online
Language
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English
Type
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Book chapter
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Joshi H., Christ University, India; Vijayalakshmi A., Christ University, India; George S.M., Christ University, India
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Title
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Book Chapter
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Title
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AN ANALYSIS OF PERCEPTION AND AWARENESS OF UNDERGRADUATE YOUTH TOWARDS CYBERCRIME
Subject
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awareness; Cybercrime; perception; undergraduate; youth
Description
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The perception of a situation or reality determines how one responds and awareness is the first step towards understanding, knowing or recognizing it. The majority of the public and the police may be familiar with the phrase cybercrime, but all of the mare fully informed ofthe nature and scope of these crimes, as well as of the cybercriminals and cyber victims, which has an impact on how they see these issues. This studys main goal was to examine the perception and awareness of cybercrime among undergraduate youth studying in BBA or BCA courses. In this study, we discovered that young peoples responses to cybercrime mostly depend on their perceptions of it and their awareness level. To accomplish the studys objective, a thorough examination of existing literature was undertaken. Primary data of200 students were collected through Google Forms. Percentile analysis, correlation analysis and t-test are done to test the hypotheses. The results of this study may help college administrators better comprehend the mind set of todays youth as they develop laws and policies aimed at reducing cybercrime among students. The results of this study show that the youngsters surveyed have high levels of awareness and a good perception. 2024 Kiran Joshi and Priyanka Kaushik.
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Joshi K.; Kaushik P.
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Advanced Series in Management, Vol-34A, pp. 101-117.
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Emerald Publishing
Date
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2024-01-01
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<a href="https://doi.org/10.1108/S1877-63612024000034A010" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/S1877-63612024000034A010</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205300355&doi=10.1108%2FS1877-63612024000034A010&partnerID=40&md5=e90ed21c7e8ad86aa0215362314b18e8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205300355&doi=10.1108%2fS1877-63612024000034A010&partnerID=40&md5=e90ed21c7e8ad86aa0215362314b18e8</a>
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ISSN: 18776361
Format
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Online
Language
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English
Type
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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
Joshi K., Mewar Institute of Management, India; Kaushik P., CHRIST Deemed to be University, India
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https://archives.christuniversity.in/files/original/384a3283e28b6665daf5e1bf63eb7cf4.pdf
a890715c041d5640a25cd3772ef64274
Dublin Core
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Title
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MPHIL
Mphil
Mphil Thesis
Dublin Core
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Title
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Resilience and Attachment among Emerging Adults with Perceived Parental Alcoholism: Role of Social Support and Family Environment
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Joshi Lipika
Date
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2016
Source
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Psychology
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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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Impact of Corporate Announcement of Green Innovation on Automaker's Market Value -An Event Study Methodology
Subject
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Automobile Industry; Corporate announcement; Event Study Methodology; Green; Green Innovation; New Product Development; Organization strategy; Sustainability
Description
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The aim of this paper is to analyse the effects of the Green Innovation event and corporate announcements regarding green innovation on the stock price of the Automobile Industry and the performance of firms. The authors also aim to assess the impact of these events on business performance and identify the effective innovation strategy influenced by the type of corporate announcement. The study focuses on the corporate announcements made by the automobile industry and their impact on company performance, specifically in relation to the application of green innovation methods. Furthermore, there is no universally agreed upon standard for defining and categorising corporate announcements. The writers also exclude the impact of media and other events that occur during the event window when categorising these announcements. The findings of this study have important practical consequences. They suggest that the release of green innovations, which aim to protect the environment, can have an impact on an organization's stock market success. Specifically, the type of innovation and the trade segment in which the organisation operates can influence its stock market performance. Grenze Scientific Society, 2024.
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Joshi M.C.; Chaurasia A.; Kasinathan S.; Garwal Y.S.; Chakravarthy S.; Mishra R.K.
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15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024, Vol-2, pp. 2150-2158.
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Grenze Scientific Society
Date
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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-s2.0-85209129836&partnerID=40&md5=9534159da5a4d5173d7c995198401bd7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209129836&partnerID=40&md5=9534159da5a4d5173d7c995198401bd7</a>
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ISBN: 979-833130057-9
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Online
Language
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English
Type
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Conference paper
Coverage
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Joshi M.C., CDOE, Manipal University, Rajasthan, Jaipur, India; Chaurasia A., Department of Commerce, Finance and Accounting, CHRIST (Deemed to be University) Delhi- NCR., UP, Ghaziabad, India; Kasinathan S., CDOE, Manipal University, Rajasthan, Jaipur, India; Garwal Y.S., CDOE, Manipal University, Rajasthan, Jaipur, India; Chakravarthy S., CDOE, Manipal University, Rajasthan, Jaipur, India; Mishra R.K., Department of Commerce, Finance and Accounting, CHRIST (Deemed to be University) Delhi- NCR., UP, Ghaziabad, India
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Dublin Core
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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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P-energy of generalized Petersen graphs
Subject
The topic of the resource
do- matic partition; Graph energy; independent partition; k-ply domatic partition; P-matrix; partition matrix; total domatic partition
Description
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For a given graph G, its P-energy is the sum of the absolute values of the eigenvalues of the P-matrix of G. In this article, we explore the P-energy of generalized Petersen graphs G(p; k) for various vertex partitions such as independent, domatic, total domatic and k-ply domatic partitions and partition containing a perfect matching in G(p; k). Further, we present a python program to obtain the P-energy of G(p; k) for the vertex partitions under consideration and examine the relation between them. 2022 The authors.
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Joshi P.B.; Joseph M.
Source
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Communications in Combinatorics and Optimization, Vol-7, No. 1, pp. 1-16.
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Azarbaijan Shahid Madani University
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2022-01-01
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<a href="https://doi.org/10.22049/CCO.2021.27102.1197" target="_blank" rel="noreferrer noopener">https://doi.org/10.22049/CCO.2021.27102.1197</a>
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ISSN: 25382128
Format
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Online
Language
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English
Type
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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
Joshi P.B., Department of Mathematics, CHRIST(Deemed to be University), Bengaluru, India; Joseph M., Department of Mathematics, CHRIST(Deemed to be University), Bengaluru, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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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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Machine Learning Model for Depression Prediction during COVID-19 Pandemic
Subject
The topic of the resource
covid-19; depression; machine learning; pandemic; Prediction
Description
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Depression is an unfamous mental health disorder that has affected half the population worldwide. In December 2019, the break of the COVID-19 pandemic was first spotted in Wuhan, China, and later spread to 212 countries and territories worldwide, impacting half the population. It took a significant toll on their physical health and their mental health. Many among the population lost their loved ones, businesses, and being in quarantine for years, completely shifted to the online mode made everyone's life miserable. Many may be dealing with escalated levels of alcohol and drug use, sleeplessness, and an anxious state of mind. So, the need to address this and help the severely affected ones is significant. Self-quarantine also causes additional stress and challenges the mental health of citizens. This paper intends to identify the people who were mentally affected by the pandemic using machine learning techniques. A survey was conducted among college-going students and professionals. The paper used classification techniques such as Naive Bayes, KNN, Random Forest, Logistic Regression, k-fold cross-validation to get results. Support Vector Machine gave the maximum accuracy of 99.35%. 2022 IEEE.
Creator
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Joshi S.; Ghosh A.; Shukla S.
Source
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IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022
Publisher
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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/ICDCECE53908.2022.9792792" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDCECE53908.2022.9792792</a>
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ISBN: 978-166548316-2
Format
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Online
Language
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English
Type
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Conference paper
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Joshi S., Christ University, Department of Data Science, Bangalore, India; Ghosh A., Christ University, Centre for Counselling and Health Services, Bangalore, India; Shukla S., Christ University, Department of Data Science, Bangalore, India
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Articles
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Faculty Publications -Articles
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The Nainital-Cape Survey: IV. A search for pulsational variability in 108 chemically peculiar stars
Subject
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Asteroseismology; Methods: observational; Stars: chemically peculiar; Stars: oscillations; Surveys
Description
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The Nainital-Cape Survey is a dedicated ongoing survey program to search for and study pulsational variability in chemically peculiar (CP) stars to understand their internal structure and evolution. Aims. The main aims of this survey are to find new pulsating Ap and Am stars in the northern and southern hemisphere and to perform asteroseismic studies of these new pulsators. Methods. The survey is conducted using high-speed photometry. The candidate stars were selected on the basis of having Stromgren photometric indices similar to those of known pulsating CP stars. Results. Over the last decade a total of 337 candidate pulsating CP stars were observed for the Nainital-Cape Survey, making it one of the longest ground-based surveys for pulsation in CP stars in terms of time span and sample size. The previous papers of this series presented seven new pulsating variables and 229 null results. In this paper we present the light curves, frequency spectra and various astrophysical parameters of the 108 additional CP stars observed since the last reported results. We also tabulated the basic physical parameters of the known roAp stars. As a part of establishing the detection limits in the Nainital-Cape Survey, we investigated the scintillation noise level at the two observing sites used in this survey, Sutherland and Nainital, by comparing the combined frequency spectra stars observed from each location. Our analysis shows that both the sites permit the detection of variations of the order of 0.6 milli-magnitude (mmag) in the frequency range 1-4 mHz, Sutherland is on average marginally better. 2016 ESO.
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Joshi S.; Martinez P.; Chowdhury S.; Chakradhari N.K.; Joshi Y.C.; Van Heerden P.; Medupe T.; Kumar Y.B.; Kuhn R.B.
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Astronomy and Astrophysics, Vol-590
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EDP Sciences
Date
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2016-01-01
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<a href="https://doi.org/10.1051/0004-6361/201527242" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/0004-6361/201527242</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971635985&doi=10.1051%2F0004-6361%2F201527242&partnerID=40&md5=a65b5a638ff41f47e3b5ab86bfdaf54a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971635985&doi=10.1051%2f0004-6361%2f201527242&partnerID=40&md5=a65b5a638ff41f47e3b5ab86bfdaf54a</a>
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All Open Access; Bronze Open Access; Green Open Access
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ISSN: 46361; CODEN: AAEJA
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Online
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English
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Article
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Joshi S., Aryabhatta Research Institute of Observational Sciences, Nainital, 263129, India; Martinez P., SpaceLab, Department of Electrical Engineering, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa, South African Astronomical Observatory, PO Box 9, Observatory, 7935, South Africa; Chowdhury S., Department of Physics, Christ University, Hosur Road, Bangalore, Karnataka, 560029, India; Chakradhari N.K., School of Studies in Physics and Astrophysics, Pt Ravishankar Shukla University, Raipur, 492010, India; Joshi Y.C., Aryabhatta Research Institute of Observational Sciences, Nainital, 263129, India; Van Heerden P., South African Astronomical Observatory, PO Box 9, Observatory, 7935, South Africa; Medupe T., Department of Physics, University of the North-West, Private Bag X2046, Mmabatho, 2735, South Africa; Kumar Y.B., National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, China; Kuhn R.B., South African Astronomical Observatory, PO Box 9, Observatory, 7935, South Africa
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Articles
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Faculty Publications -Articles
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Optical characterization of oxadiazoles analogues doped PMMA film for photonic application
Subject
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Absorption spectra; Energy band gap; Extinction coefficient; NLO applications; Refractive index
Description
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In the present study, newly synthesized nitrobenzene derivatives (PBT and PBF) doped poly(methyl methacrylate) films were prepared using spin coating techniques, and their optical properties were analyzed. The absorption spectra of various weight percentages (0.02%, 0.1%, 0.2%, and 0.3%) of nitrobenzene derivative-doped polymer films were recorded using a UVvisible spectrometer. From the absorption spectra, optical properties such as refractive index, band gap energy, extinction coefficient, and dielectric constant were calculated. The effect of doping on the optical properties of PMMA was investigated, with results revealing normal dispersive behavior from the refractive index and extinction coefficient. Atomic force microscopy and scanning electron microscopy images indicated that the synthesized films have a low degree of roughness and a smooth surface. Additionally, the nonlinear optical properties of the PBF-doped polymer film were investigated, and the ? value was determined to be 7.403cm/W. Overall, the findings suggest that PBF-doped polymer films are promising candidates for photonic applications. Indian Association for the Cultivation of Science 2024.
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Joshi S.S.; Shelar V.M.; Shridhar A.H.; Dhannur S.H.; Refat M.S.; Alsuhaibani A.M.; Naik L.
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Indian Journal of Physics
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Springer
Date
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2024-01-01
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<a href="https://doi.org/10.1007/s12648-024-03386-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12648-024-03386-y</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201395889&doi=10.1007%2Fs12648-024-03386-y&partnerID=40&md5=99ce510fb421f6960d5d5be458d43c09" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201395889&doi=10.1007%2fs12648-024-03386-y&partnerID=40&md5=99ce510fb421f6960d5d5be458d43c09</a>
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Restricted Access
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ISSN: 9731458
Format
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Online
Language
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English
Type
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Article
Coverage
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Joshi S.S., Department of Physics, M.S. Ramaiah University of Applied Sciences, Karnataka, Bengaluru, 560058, India; Shelar V.M., Department of Physics, M.S. Ramaiah University of Applied Sciences, Karnataka, Bengaluru, 560058, India; Shridhar A.H., Department of Chemistry, SVM Arts, Science and Commerce College Illkal, Karnataka, Ilkal, India; Dhannur S.H., Department of Physics, M.S. Ramaiah University of Applied Sciences, Karnataka, Bengaluru, 560058, India; Refat M.S., Department of Chemistry, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Alsuhaibani A.M., Department of Physical Sport Sciences, College of Sport Sciences and Physical Activity, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia; Naik L., Department of Physics, CHRIST University, Karnataka, Bengaluru, 560029, India
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Title
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Book Chapter
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Faculty Publications- Book Chapter
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Algae-Based Nanoparticles for Contaminated Environs Nanoremediation
Subject
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Algae; Environment; Heavy metals; Nanoparticles; Pollutantsbioremediation
Description
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Currently, the rapidly growing human interference has increased the percentage of pollutants that include organic and inorganic and this has been threatening the ecosystems. Remediation by conventional physicochemical methods, bioremediation has gained immense acceptance due to their ecofriendly, economical, and sustainable approach. Microbial-based nanoparticles act as facilitators in remediating contaminants by microbial growth and immobilization of remediating agents, by inducing microbial remediating enzymes or enhanced biosurfactants that helps to improve solubility of hydrophobic hydrocarbons to create a conducive milieu for remediation. Algal-NPs can be produced easily using low-cost medium and simple scaling up process which is economically feasible. Silver nanoparticles (AgNPs) and gold nanoparticles (AuNPs) have been synthesized using Nannochloropsis sps (NN) and Chlorella vulgaris (CV), while, brown seaweeds Petalonia fascia, Colpomenia sinuosa, and Padina pavonica were used with iron oxide NPs along with their aqueous extracts. These applications have shown to be promising alternative bioremediating methods that are safe. Algal-based NPs can act as a pollution abatement device that can help to effectively target the pollutants for efficient nanobioremediation and helps to promote environmental clean-up for eliminating heavy metals, dyes, and other organic and inorganic waste from the environment. 2025 by Apple Academic Press, Inc.
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Joshi V.S.; Gowda N.; Mayegowda S.B.; Manjula N.G.
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Sustainable Nanoremediation: Modern Technologies for a Clean Environment, pp. 327-351.
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Apple Academic Press
Date
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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-s2.0-85215973348&partnerID=40&md5=aedeed5445878bf2fb3627abbc2d59b7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215973348&partnerID=40&md5=aedeed5445878bf2fb3627abbc2d59b7</a>
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Restricted Access
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ISBN: 978-104001318-2; 978-177491610-0
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Online
Language
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English
Type
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Book chapter
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Joshi V.S., School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, India; Gowda N., School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, India; Mayegowda S.B., Department of Psychology, Christ University, Kengeri Campus Mysore, Road Kumbalgodu, Kanmanike, Karnataka, Bengaluru, India; Manjula N.G., School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, India
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Joshi, Amit; Pandey, Ananya
Title
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Advancing Climate Finance for Sustainable Future: Integrating Human Capital, Climate Neutrality, and Emerging Technologies
Date
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01-01-2025
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Approaches to Global Sustainability, Markets, and Governance;Volume;Part F745;pp.231-246
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<a href="https://doi.org/10.1007/978-981-96-7181-6_13" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-7181-6_13</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105015324080?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105015324080?origin=resultslist</a>
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Joshi A., Department of Management Studies, Kumaun University, Uttarakhand, Nainital, India; Pandey A., Christ University, Karnataka, Bangalore, India
Description
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The Intergovernmental Panel on Climate Change (IPCC) laid the scientific groundwork for the widespread agreement that, in the medium and long terms, development and inclusive growth are seriously threatened by climate change caused by humans. The importance of sustainable development and the pressing need to address climate change cannot be underscored in the rapidly evolving global setting. A key tool for reaching carbon neutrality and greening sustainable economic growth is Climate Finance, which is centered on eco-friendly investments and activities. By supporting renewable energy sources like solar and wind power, climate finance assists nations in lowering their greenhouse gas emissions. It also aids in community adaptation to the effects of climate change. Combining human capital and emerging technologies such as blockchain, Artificial Intelligence (AI) with climate finance is an additional opportunity to boost migration prospects and ease transitions in adaptation processes. Furthermore, in addition to addressing concerns about the potentially negative effects of some climate policies on development prospects and economic growth, an integrated policy package incorporating the scaling up of low-carbon and climate-resilient infrastructure, sustainable finance, and carbon pricing could also help achieve the goals of the UN Sustainable Development Goals (SDGs) and the Paris Agreement. In order to solve urgent environmental issues and achieve sustainable development goals, climate finance must improve. This chapter explores the need of climate finance and human capital with evolving technologies. Further, it analyzes the synergy of climate finance with climate neutrality and challenges and barriers in the achievement of sustainability. Furthermore, a need for a regulatory framework for achieving climate neutrality in terms of climate finance is discussed. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Subject
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Adaptation; Climate neutrality; Financial instruments; Mitigation; Sustainability
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Springer
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ISSN: 25208772;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
-
https://archives.christuniversity.in/files/original/9d6ecae90acf9d0a22ed2dacc7c3aba0.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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Title
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Patents
Subject
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Patent
Description
An account of the resource
Patent
Patent
Patents
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Title
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Model between mind share branding factors and trustworthiness /
Subject
The topic of the resource
Academic Model Building ( Management )
Description
An account of the resource
Patent Number: 202111055024, Applicant: Dr.Vikas Singla.
The importance of Mindshare branding (MB) strategy in building long-term and sustainable psychological links with consumers had been sufficiently highlighted in literature. However, very few research attempted to provide a structured tool for its measurement. This study proposed a 13-point four-factor multidimensional scale which could be used to measure MB formally. Dimensions measuring MB were derived from literature and then examined on different brands in order to achieve a reliable and valid scale.
Creator
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Joshi, Mahesh Chandra.
Source
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<a href="https://drive.google.com/file/d/1my41i9D5364WhMRYEOrv6nppWjvWSIo6/view" target="_blank" title="Model between mind share branding factors and trustworthiness /" rel="noreferrer noopener">https://drive.google.com/file/d/1my41i9D5364WhMRYEOrv6nppWjvWSIo6/view</a>
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Intellectual Property India
Date
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2021-05-09
Language
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English
Type
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Patent
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Title
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PHD
PhD
PhD Thesis
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61000194
Title
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Studies on color energy and its variations in graphs
Subject
The topic of the resource
Mathematics and Statistics
Description
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This thesis consists of studies on color energy and its variations in graphs. Apart from the exploration of color energy corresponding to various coloring schemes, the notion of P-energy as a generalization of color energy has been introduced. The computation of color energy and P-energy of graphs has been carried out using Python programs, while the general results are derived using research methods and proof techniques in linear algebra. The bounds of color energy for a graph G have been established in terms of several graph parameters such as chromatic number and#967;(G), domination number and#947;(G), maximum degree and#8710;(G) etc. It has been found out that the color energy of a graph G is greater than or equal to 1 n and#947;(G) q 2(m + mand#8242;c). Further, the bounds of color energy of a graph G in terms of extreme eigenvalues of color matrix of G have been obtained. The study on color energy with respect to the minimum number of colors and L(h, k)-coloring has been examined in detail for some families of graphs such as star graph, double star, crown graph and their color complements. We have also examined the variation of color energy in the specific cases of T-coloring and radio coloring for some families of graphs. The examination of color energy corresponding to some improper colorings such as Hamiltonian coloring, open neighborhood coloring and improper C-coloring has also been done. Moreover, the color equi-energetic families of graphs with respect to various coloring schemes have been investigated. The concept of P-energy has been introduced as a generalization of the concept of color energy. This stems from the fact that coloring problems in essence are vertex partition problems. For any vertex partition P having k elements, we define the P-matrix AP(G) having and#8722;1, 0, 1, 2 as off diagonal entries and diagonal entries represent the cardinality of the elements in partition P. Then, the P-energy EP(G) is defined as the sum of the absolute values of eigenvalues of P-matrix of G.
Creator
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Joshi, Prajakta Bharat
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Author's Submission
Publisher
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Christ(Deemed to be University)
Date
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2022-01-01
Contributor
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Joseph, Mayamma.
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Open Access
Format
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PDF
Language
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English
Type
The nature or genre of the resource
PhD
Identifier
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<a href="http://hdl.handle.net/10603/401299" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/401299</a>
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https://archives.christuniversity.in/files/original/1205557c9e4f533bb6c0618bc16a45ab.pdf
2b4c6f62ef25290d12100392757ffa93
Dublin Core
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Title
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Thesis
PhD
PhD Thesis
Dublin Core
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Title
A name given to the resource
Studies on color energy and its variations in graphs
Subject
The topic of the resource
Mathematics
Description
An account of the resource
This thesis consists of studies on color energy and its variations in graphs. Apart from the exploration of color energy corresponding to various coloring schemes, the notion of P-energy as a generalization of color energy has been introduced. The computation of color energy and P-energy of graphs has been carried out using Python programs, while the general results are derived using research methods and proof techniques in linear algebra. The bounds of color energy for a graph G have been established in terms of several graph parameters such as chromatic number χ(G), domination number γ(G), maximum degree ∆(G) etc. It has been found out that the color energy of a graph G is greater than or equal to 1 n γ(G) p 2(m+m′ c ). Further, the bounds of color energy of a graph G in terms of extreme eigenvalues of color matrix of G have been obtained.
Creator
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Joshi, Prajakta Bharat - 1740089
Publisher
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CHRIST (Deemed to be University)
Language
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English
Type
The nature or genre of the resource
PhD
-
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Joshi, Priyanka; Singh, Jagendra; Upreti, Kamal
Title
A name given to the resource
Advancing Brain Tumor Detection with Deep Learning and Machine Learning: A Performance Analysis of Different Deep Learning Models
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2026
Source
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Lecture Notes in Networks and Systems;Volume;1359 LNNS;pp.279-289
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<a href="https://doi.org/10.1007/978-981-96-4933-4_20" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-4933-4_20</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105020721047?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105020721047?origin=resultslist</a>
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The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Joshi P., School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India; Singh J., School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India; Upreti K., School of Computer Science, CHRIST University, New Delhi, India
Description
An account of the resource
The current study examines the difficulty of employing a deep learning architecture to diagnose brain tumors quickly and effectively. Our study is built upon a dataset of 253 MRI pictures that have been carefully categorized by medical experts as either positive (Yes) or negative (No) for brain tumors. To guarantee the robustness of model performance, the dataset is carefully divided into training and validation subsets, with 70% set aside for training and 30% for validation. We analyze the diagnostic performance of several machine learning models, including K-Nearest Neighbors (KNNs), Recurrent Neural Networks (RNNs), Support Vector Machines (SVMs), Convolutional Neural Networks (CNNs), and Artificial Neural Networks (ANNs). When these algorithms are applied to MRI scans, brain tumors can be quickly detected, and the increased accuracy makes patient treatment easier. The findings of this study could lead to a rapid and accurate diagnosis of brain tumors, which would greatly enhance patient care and treatment. The results also show how deep learning frameworks can transform medical image processing and diagnosis. This work offers a thorough review of recent findings and techniques for MRI scan-based deep learning-based brain tumor detection. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
Subject
The topic of the resource
Brain tumor; Deep learning; Heath care; Machine learning; Magnetic Resonance Imaging (MRI); Performance analysis
Publisher
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Springer Science and Business Media Deutschland GmbH
Relation
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ISSN: 23673370; ISBN: 978-981964932-7;
Language
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English
Type
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Conference paper
Rights
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Restricted Access; Hardcopy may be available in the library
-
Dublin Core
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Title
A name given to the resource
Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Joshi, Satvik; Sharma, Harshvardhan; Singh, Yajush Pratap; Ahmed, Sayed Abu Lais Ezaz; Sharma, Vandana
Title
A name given to the resource
An Intelligent Cognitive Framework for Crime Prediction in Smart Cities using Video Mining
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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2025 International Conference on Artificial Intelligence and Machine Vision, AIMV 2025;
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<a href="https://doi.org/10.1109/AIMV66517.2025.11203581" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AIMV66517.2025.11203581</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105021819749?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021819749?origin=resultslist</a>
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The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Joshi S., Kalinga Institute of Industrial Technology, School of Computer Engineering, Bhubaneswar, India; Sharma H., Kalinga Institute of Industrial Technology, School of Computer Engineering, Bhubaneswar, India; Singh Y.P., IIT Patna, Department of Computer Science and Engineering, India; Ahmed S.A.L.E., Chandigarh University, Department of Computer Science and Engineering, Punjab, India; Sharma V., CHRIST University, Computer Science Department, Bengaluru, India
Description
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Booming development in cities with dense population have led to urban policing and public safety emerging as urgent concerns in city environments.current monitoring practices including CCTV'S and other IOT sensors generate a vast amount of data ,thus making them inadequate for the task. However a combination of video mining,computer vision,artificial intelligence and data mining techniques,do offer us a better framework for monitoring and real-time detection of crime in Smart city"s environment. This paper proposes an intelligent and Cognitive framework for prediction of crime. by combining various advanced modals such as YOLO (You took Only Look Once) for detecting objects, 3D Convolutional Neural Networks (CNN) for recognizing actions, deep SORT for tracking multiple objects, One-class SVM for detecting anomaly and LSTM for behavioral analysis. These modals can organized to function in a coherent system which can be organized to distinguish examine and trail illegal activities such of mugging, robbery, pick pocketing, violence, utilizing available live video feeds. By efficient date processing, and overcoming shortcomings such of limited labeled datasets and real-time feed detection, this framework can provide practical conclusion making tool for law enforcement in urban smart city environments which can enhance urban safety.Besides effective crime detection,this tool compiles with established ethical standards such as upholding privacy and legal compliance. 2025 IEEE.
Subject
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Action recognition; Anomaly detection; Artificial intelligence (AI); Computer vision; Crime prediction; Deep learning; Legal compliance; Object detection; Privacy; Smart cities; Video mining
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Institute of Electrical and Electronics Engineers Inc.
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ISBN: 979-833152697-9;
Language
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English
Type
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Conference paper
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Restricted Access; Hardcopy may be available in the library
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Faculty Publications
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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/.
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Joshi, Suraj Sunil; Shelar, Vikas M.; Shridhar, A.H.; Dhannur, Sikandar H.; Refat, Moamen S.; Alsuhaibani, Amnah Mohammed; Naik, Lohit
Title
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Optical characterization of oxadiazoles analogues doped PMMA film for photonic application
Date
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01-01-2025
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Indian Journal of Physics;Volume;99;Issue;5;pp.1615-1625
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<a href="https://doi.org/10.1007/s12648-024-03386-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12648-024-03386-y</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105003172154?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003172154?origin=resultslist</a>
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Joshi S.S., Department of Physics, M.S. Ramaiah University of Applied Sciences, Karnataka, Bengaluru, 560058, India; Shelar V.M., Department of Physics, M.S. Ramaiah University of Applied Sciences, Karnataka, Bengaluru, 560058, India; Shridhar A.H., Department of Chemistry, SVM Arts, Science and Commerce College Illkal, Karnataka, Ilkal, India; Dhannur S.H., Department of Physics, M.S. Ramaiah University of Applied Sciences, Karnataka, Bengaluru, 560058, India; Refat M.S., Department of Chemistry, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Alsuhaibani A.M., Department of Physical Sport Sciences, College of Sport Sciences and Physical Activity, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia; Naik L., Department of Physics, CHRIST University, Karnataka, Bengaluru, 560029, India
Description
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In the present study, newly synthesized nitrobenzene derivatives (PBT and PBF) doped poly(methyl methacrylate) films were prepared using spin coating techniques, and their optical properties were analyzed. The absorption spectra of various weight percentages (0.02%, 0.1%, 0.2%, and 0.3%) of nitrobenzene derivative-doped polymer films were recorded using a UVvisible spectrometer. From the absorption spectra, optical properties such as refractive index, band gap energy, extinction coefficient, and dielectric constant were calculated. The effect of doping on the optical properties of PMMA was investigated, with results revealing normal dispersive behavior from the refractive index and extinction coefficient. Atomic force microscopy and scanning electron microscopy images indicated that the synthesized films have a low degree of roughness and a smooth surface. Additionally, the nonlinear optical properties of the PBF-doped polymer film were investigated, and the ? value was determined to be 7.403cm/W. Overall, the findings suggest that PBF-doped polymer films are promising candidates for photonic applications. Indian Association for the Cultivation of Science 2024.
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Absorption spectra; Energy band gap; Extinction coefficient; NLO applications; Refractive index
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Springer
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ISSN: 9731458;
Language
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English
Type
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Article
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
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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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Improved dhoa-fuzzy based load scheduling in iot cloud environment
Subject
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Cloud computing; Fuzzy logic; Internet of things; Load scheduling; Metaheuristics
Description
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Internet of things (IoT) has been significantly raised owing to the development of broadband access network, machine learning (ML), big data analytics (BDA), cloud computing (CC), and so on. The development of IoT technologies has resulted in a massive quantity of data due to the existence of several people linking through distinct physical components, indicating the status of the CC environment. In the IoT, load scheduling is realistic technique in distinct data center to guarantee the network suitability by falling the computer hardware and software catastrophe and with right utilize of resource. The ideal load balancer improves many factors of Quality of Service (QoS) like resource performance, scalability, response time, error tolerance, and efficiency. The scholar is assumed as load scheduling a vital problem in IoT environment. There are many techniques accessible to load scheduling in IoT environments.With this motivation, this paper presents an improved deer hunting optimization algorithm with Type II fuzzy logic (IDHOA-T2F) model for load scheduling in IoT environment. The goal of the IDHOA-T2F is to diminish the energy utilization of integrated circuit of IoT node and enhance the load scheduling in IoT environments. The IDHOA technique is derived by integrating the concepts of Nelder Mead (NM) with the DHOA. The proposed model also synthesized the T2L based on fuzzy logic (FL) systems to counterbalance the load distribution. The proposed model finds useful to improve the efficiency of IoT system. For validating the enhanced load scheduling performance of the IDHOA-T2F technique, a series of simulations take place to highlight the improved performance. The experimental outcomes demonstrate the capable outcome of the IDHOA-T2F technique over the recent techniques. 2022 Tech Science Press. All rights reserved.
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Joshua Samuel Raj R.; Ilango V.; Thomas P.; Uma V.R.; Al-Wesabi F.N.; Marzouk R.; Hilal A.M.
Source
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Computers, Materials and Continua, Vol-71, No. 2, pp. 4101-4114.
Publisher
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Tech Science Press
Date
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2022-01-01
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<a href="https://doi.org/10.32604/cmc.2022.022063" target="_blank" rel="noreferrer noopener">https://doi.org/10.32604/cmc.2022.022063</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120801301&doi=10.32604%2Fcmc.2022.022063&partnerID=40&md5=0a6c802914a3da1d57738db9a03f8aed" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120801301&doi=10.32604%2fcmc.2022.022063&partnerID=40&md5=0a6c802914a3da1d57738db9a03f8aed</a>
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All Open Access; Gold Open Access
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ISSN: 15462218
Format
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Online
Language
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English
Type
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Article
Coverage
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Joshua Samuel Raj R., Department of Information Science and Engineering, CMR Institute of Technology, Bengaluru, 560037, India; Ilango V., Department of Computer Application, CMR Institute of Technology, Bangalore, 560037, India; Thomas P., School of Computing, Woldia Institute of Technology, Woldia University, Ethiopia, Ethiopia; Uma V.R., Department of Commerce, School of Commerce. Finance and Accountancy, Christ University, Bangalore, 560029, India; Al-Wesabi F.N., Department of Computer Science, College of Science and Art at Mahayil, King Khalid University, Saudi Arabia, Faculty of Computer and IT, Sana'a University, Yemen, Yemen; Marzouk R., Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Saudi Arabia; Hilal A.M., Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia