747 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Terrorism And Regional Cooperation: What is SAARC up to? Description An account of the resource South Asia has the distinction of being one of the most affected regions by terrorism and political violence. It is also one of the least integrated regions in the world. Terrorist threats have been diverse, characterised by religious fundamentalism, separatism, left-wing extremism and transnationalism. Interestingly, the countries of the region, under the umbrella of the South Asian Association for Regional Cooperation (SAARC), possess various regional arrangements to counter terrorism. Yet, the problem of terrorism continues unabated in the region. The principal question is, despite the existence of numerous arrangements, what factors hinder counter-terrorism cooperation among the countries at the regional level?. 2022 selection and editorial matter, Adluri Subramanyam Raju. Creator An entity primarily responsible for making the resource Manoharan N. Source A related resource from which the described resource is derived Bilateral and Multilateral Cooperation in South Asia, pp. 57-70. Publisher An entity responsible for making the resource available Taylor and Francis 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/10.4324/9781003145271-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003145271-7</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131501551&doi=10.4324%2F9781003145271-7&partnerID=40&md5=c1997784bb43d40502aeec06e88b7743" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131501551&doi=10.4324%2f9781003145271-7&partnerID=40&md5=c1997784bb43d40502aeec06e88b7743</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100045284-6; 978-036761506-2 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 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 Manoharan N., Department of International Studies and History, CHRIST (Deemed to be University), Bangalore, India https://archives.christuniversity.in/files/original/4db01468047f79de2274777fa120007a.pdf 2f40941f4216a949b3824f32916c43fe 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 Tertiary packaging issues and their influence on repurchase intention and loyalty of customers towards e retailers / Subject The topic of the resource Management Creator An entity primarily responsible for making the resource Alex Nero - 1620070 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 2024-07-06 Language A language of the resource English Type The nature or genre of the resource PhD 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 PHD 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/. Relation A related resource 61000314 Title A name given to the resource Tertiary Packaging Issues and Their Influence on Repurchase Intention and Loyalty of Customers Towards E-Retailers Subject The topic of the resource Management Studies Description An account of the resource his thesis investigates the significance of tertiary packaging in the context of e-retail business and its influence on customer preference, repurchase intention, and loyalty towards e-retailers. With the rapid growth of e-retail, it is expected to become the dominant form of retail worldwide, surpassing traditional brick and mortar establishments. While e-retail offers convenience and flexibility to customers, intensifying competition among e- retailers raises concerns about how they will effectively manage it. As e- retailers resort to increased marketing efforts to attract customers, certain aspects, including tertiary packaging, may be inadvertently overlooked. Tertiary packaging plays a critical role in the e-retail process, and this study analyses its impact on customer perception and satisfaction. By exploring the issues related to tertiary packaging that affect customers, this research aims to provide insights to e-retailers for developing a more efficient and sustainable tertiary packaging model. The anticipated outcomes of this research are expected to enhance e-retailers' ability to attract customers, increase repurchase intention, and foster loyalty towards the e-retailer, ultimately contributing to their long-term success in the evolving e-commerce landscape. Creator An entity primarily responsible for making the resource Alex, Nero Source A related resource from which the described resource is derived Author's Submission 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 2024-01-01 Contributor An entity responsible for making contributions to the resource R, Sreedhara Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/557661" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/557661</a> 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 Test case reduction and SWOA optimization for distributed agile software development using regression testing Subject The topic of the resource Fractional Sigmoid based K-means Clustering; Regression Testing; Support-based Whale Optimization Algorithm; Test Case Reduction Description An account of the resource Regression testing is a well-established practice in software development, but its position and importance have shifted in recent years as agile approaches have grown in popularity, emphasizing the fundamental role of regression testing in preserving software quality. In previous techniques, the challenge to address is determining the number and size of clusters and optimization to stabilize the cost and efficacy of the strategy. To overcome all the existing drawbacks; this research study proposes test case reduction and Support-based Whale Optimization Algorithm (SWOA) for distributed agile software development using regression testing. The purpose of this research study is to look into regression testing strategies in agile development teams and to find out what they are optimum clustered test cases. The proposed strategy is divided into two stages: prioritization as well as selection. Prioritization and selection are carried out once the test instances have been retrieved and grouped. The test case clusters are sorted and prioritized in this stage to ensure that the most critical instances are chosen first. During this stage, the test case clusters undergo sorting and prioritization to guarantee that the most essential cases are selected initially. Second, the SWOA is used to choose test cases with a greater frequency of failure or coverage criterion. The results of the assessment metrics show that the proposed approach outperforms other current regression testing strategies substantially. Based on experimental findings, our proposed approach betters existing methods in terms of information performance. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Creator An entity primarily responsible for making the resource Singh M.; Chauhan N.; Popli R. Source A related resource from which the described resource is derived Multimedia Tools and Applications Publisher An entity responsible for making the resource available Springer 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/s11042-024-19148-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11042-024-19148-1</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191069462&doi=10.1007%2Fs11042-024-19148-1&partnerID=40&md5=82b6fedd08d718b6456bd20af841193d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191069462&doi=10.1007%2fs11042-024-19148-1&partnerID=40&md5=82b6fedd08d718b6456bd20af841193d</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 13807501; CODEN: MTAPF 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 Singh M., Christ (Deemed to be University) Delhi NCR Campus, Uttar Pradesh, Ghaziabad, India; Chauhan N., Department of Computer Engineering at JC Bose University of Science & amp; Technology, Faridabad, India; Popli R., J. C. Bose University of Science and Technology, YMCA, Faridabad, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Singh, Madan; Chauhan, Naresh; Popli, Rashmi Title A name given to the resource Test case reduction and SWOA optimization for distributed agile software development using regression testing Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Multimedia Tools and Applications;Volume;84;Issue;10;pp.7065-7090 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11042-024-19148-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11042-024-19148-1</a> <a href="https://www.scopus.com/pages/publications/105001508598?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001508598?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh M., Christ (Deemed to be University) Delhi NCR Campus, Uttar Pradesh, Ghaziabad, India; Chauhan N., Department of Computer Engineering at JC Bose University of Science & Technology, Faridabad, India; Popli R., J. C. Bose University of Science and Technology, YMCA, Faridabad, India Description An account of the resource Regression testing is a well-established practice in software development, but its position and importance have shifted in recent years as agile approaches have grown in popularity, emphasizing the fundamental role of regression testing in preserving software quality. In previous techniques, the challenge to address is determining the number and size of clusters and optimization to stabilize the cost and efficacy of the strategy. To overcome all the existing drawbacks; this research study proposes test case reduction and Support-based Whale Optimization Algorithm (SWOA) for distributed agile software development using regression testing. The purpose of this research study is to look into regression testing strategies in agile development teams and to find out what they are optimum clustered test cases. The proposed strategy is divided into two stages: prioritization as well as selection. Prioritization and selection are carried out once the test instances have been retrieved and grouped. The test case clusters are sorted and prioritized in this stage to ensure that the most critical instances are chosen first. During this stage, the test case clusters undergo sorting and prioritization to guarantee that the most essential cases are selected initially. Second, the SWOA is used to choose test cases with a greater frequency of failure or coverage criterion. The results of the assessment metrics show that the proposed approach outperforms other current regression testing strategies substantially. Based on experimental findings, our proposed approach betters existing methods in terms of information performance. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Subject The topic of the resource Fractional Sigmoid based K-means Clustering; Regression Testing; Support-based Whale Optimization Algorithm; Test Case Reduction Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 13807501; CODEN: MTAPF Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Testing for the Bidirectional Relationship Between FDI in Services and Trade in Services: Evidence from Emerging Economies Subject The topic of the resource Emerging markets; foreign direct investment; panel vector error correction model; services Description An account of the resource We examine the two-way links between foreign direct investments (FDI) in services and trade in services for 26 emerging economies from 2003 to 2015 using sectoral and sectoral disaggregated FDI data. Within a multivariate framework, we use panel unit root tests, recently developed heterogeneous panel cointegration and panel vector error correction model (VECM). Our results confirmed the cointegrating relationship between trade in services, FDI in services, financial services FDI and nonfinancial services FDI. We find the existence of long-run unidirectional causality from trade in services to FDI in services. However, the disaggregated analysis shows a bidirectional link between nonfinancial services FDI and trade in services in the short run. Still, there is no causality between financial services FDI and trade in services both in the short run and long run. The result also shows the evidence of unidirectional causality running from trade in services to nonfinancial services FDI in the long run. It implies that sectoral decomposition matters in the FDItrade nexus in emerging economies. JEL Codes: G20, F14, G20, F23 2022 Indian Institute of Foreign Trade. Creator An entity primarily responsible for making the resource Jithin P.; Babu M.S. Source A related resource from which the described resource is derived Foreign Trade Review, Vol-58, No. 3, pp. 412-427. Publisher An entity responsible for making the resource available Sage Publications India Pvt. 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/10.1177/00157325221095650" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/00157325221095650</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130121215&doi=10.1177%2F00157325221095650&partnerID=40&md5=26595a6898b2494b8ddbe0f6b4399d79" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130121215&doi=10.1177%2f00157325221095650&partnerID=40&md5=26595a6898b2494b8ddbe0f6b4399d79</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 157325 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 Jithin P., Department of Economics, Christ University, Karnataka, Bangalore, India; Babu M.S., Department of Humanities and Social Sciences, Indian Institute of Technology Madras, Tamil Nadu, 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 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 Testing of long run association between crude oil and gold commodities: An empirical study in India / Subject The topic of the resource Commodity Markets Description An account of the resource Test engineering & Management, Vol.82, pp.2902-2906, ISSN No: 0193-4120. Creator An entity primarily responsible for making the resource Rajesh R and Dr. A. Satya Nandini Source A related resource from which the described resource is derived <a href="http://www.testmagzine.biz/index.php/testmagzine/article/view/1336" target="_blank" title="Testing of long run association between crude oil and gold commodities: An empirical study in India" rel="noreferrer noopener">http://www.testmagzine.biz/index.php/testmagzine/article/view/1336</a> Publisher An entity responsible for making the resource available The Mattingley Publishing Co Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2020-12-31 Language A language of the resource English Type The nature or genre of the resource Journal Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Testing The Causal Link Between Perceived Fee Fairness and Student Loyalty-Empirical Assessment in the Context of Service Marketing in Higher Education Subject The topic of the resource Management Finance Description An account of the resource Journal of Global Management Outlook, Vol-1 (5), pp. 43-55. ISSN-2277-3789 Creator An entity primarily responsible for making the resource Phadke Suniti, Bhagavath Venkatesh Publisher An entity responsible for making the resource available Journal of Global Management Outlook Date A point or period of time associated with an event in the lifecycle of the resource 2014 Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Testing the Diversifying Asset Hypothesis between Clean Energy Stock Indices and Oil Price Subject The topic of the resource Clean Energy Indices; Financial Integration; Long Memories; Portfolio Diversification; WTI Description An account of the resource In theory, geopolitical risk and political uncertainty can directly affect energy markets. Fluctuations lead to the cost of clean energy sources as they compete with traditional energy. The purpose of this study is to analyse financial integration and test the diversifying asset hypothesis between clean energy indices, specifically the Clean Energy Fuels (CLNE), Nasdaq Clean Edge Green Energy (CELS), S&P Global Clean Energy (SPGTCLEN), TISDALE Clean Energy (TCEC.CN), Wilderhill (ECO) and West Texas Intermediate (WTI) stock indices, over the period from 1 January 2018 to 23 November 2023. Analysing the results reveals a scenario where most of the clean energy indices show cointegration with each other, indicating long-term relationships that reflect common trends in the clean energy sector. However, the relative independence of the WTI suggests that Oil still acts as an important and potentially diversifying external factor for investors focused on sustainable energy. Structural breaks in 2021 and 2022 in several indices point to significant events that have altered market dynamics, possibly including changes in environmental policies, technological innovations and the impacts of the COVID-19 pandemic. The cointegration evidence and structural breaks provide valuable information for building investment portfolios. Investors can consider the WTI to diversify portfolios dominated by clean energy assets, taking advantage of Oils relative independence. On the other hand, the high correlation between clean energy indices suggests that, within this sector, diversification options are more limited, requiring careful analysis of the specific characteristics of each index and the macroeconomic forces affecting them. 2024, Econjournals. All rights reserved. Creator An entity primarily responsible for making the resource Dias R.; Galv R.; Cruz S.; Irfan M.; Alexandre P.; Gonlves S.; Teixeira N.; Palma C.; Almeida L. Source A related resource from which the described resource is derived International Journal of Energy Economics and Policy, Vol-14, No. 6, pp. 295-302. Publisher An entity responsible for making the resource available Econjournals 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/10.32479/ijeep.16988" target="_blank" rel="noreferrer noopener">https://doi.org/10.32479/ijeep.16988</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208976596&doi=10.32479%2Fijeep.16988&partnerID=40&md5=acf8111d908c573fd8169bbe1f91e332" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208976596&doi=10.32479%2fijeep.16988&partnerID=40&md5=acf8111d908c573fd8169bbe1f91e332</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21464553 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 Dias R., Instituto Politnico de Setal, Escola Superior de Cicias Empresariais, Setal, Portugal, ESCAD-Instituto Politnico da Lusofonia, Lisboa, Portugal; Galv R., Instituto Politnico de Setal, Escola Superior de Cicias Empresariais, Setal, Portugal; Cruz S., ESCAD-Instituto Politnico da Lusofonia, Lisboa, Portugal, CEFAGE-University of Algarve, Campus de Gambelas, Faro, 8005-189, Portugal; Irfan M., School of Business and Management, Christ University, Lavasa, Pune, India; Alexandre P., ESCAD-Instituto Politnico da Lusofonia, Lisboa, Portugal; Gonlves S., ESCAD-Instituto Politnico da Lusofonia, Lisboa, Portugal; Teixeira N., ESCAD-Instituto Politnico da Lusofonia, Lisboa, Portugal; Palma C., ESCAD-Instituto Politnico da Lusofonia, Lisboa, Portugal; Almeida L., ESCAD-Instituto Politnico da Lusofonia, Lisboa, Portugal 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 Text extraction from video images Subject The topic of the resource Discrete cosine transform; Fast fourier transform; J48; Random forest; Simple logistic; Text extraction Description An account of the resource Video data contains beneficial textual information such as scene text and caption text. The different types of videos like movies, news videos, and TV programs video etc. are created by various video frames based on its purpose. In a country like India, there are only fewer studies has done on text extraction from video data especially in south Indian languages like Malayalam, Telugu, Kannada, and Tamil. The extracted text has many useful applications in video indexing, video key searching and assisting visually challenged people. Malayalam news channel named Mathrubhumi News videos data are considered for the proposed study. It is very beneficial to Kerala people as it is one of the most media-centric regions in the world. In this proposed paper, a new method for text extraction experiments. The anticipated method extracts 13 different features for classifying the image consists of text or not. Both spatial and frequency domain features are extracted to classify. The different types of classification techniques are used to validate the algorithm. Simple Logistic, J48 and Random Forest classification techniques are giving a good result when compared to other methods. Results are encouraging, the average success rate found to be 98%. Research India Publications. Creator An entity primarily responsible for making the resource Raju N.; Anita H.B. Source A related resource from which the described resource is derived International Journal of Applied Engineering Research, Vol-12, No. 24, pp. 14750-14754. Publisher An entity responsible for making the resource available Research India Publications Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057640769&partnerID=40&md5=722800c6cc6a8b34ea7aae76e90e2c83" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057640769&partnerID=40&md5=722800c6cc6a8b34ea7aae76e90e2c83</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9734562 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Raju N., Department of Computer Science, Christ University, Bengaluru, 560029, Karnataka, India; Anita H.B., Department of Computer Science, Christ University, Bengaluru, 560029, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Text Mining-A Comparative Review of Twitter Sentiments Analysis Subject The topic of the resource airline sentiments; decision trees; gaussian naive bayes; gini index; machine learning; multinomial naive bayes; multinomial naive bayes with bagging; Opinion mining; random forest Description An account of the resource Background: Text mining derives information and patterns from textual data. Online social media platforms, which have recently acquired great interest, generate vast text data about human behaviors based on their interactions. This data is generally ambiguous and unstructured. The data includes typing errors and errors in grammar that cause lexical, syntactic, and semantic uncertainties. This results in incorrect pattern detection and analysis. Researchers are employing various text mining techniques that can aid in Topic Modeling, the detection of Trending Topics, the identification of Hate Speeches, and the growth of communities in online social media net-works. Objective: This review paper compares the performance of ten machine learning classification techniques on a Twitter data set for analyzing users' sentiments on posts related to airline usage. Methods: Review and comparative analysis of Gaussian Naive Bayes, Random Forest, Multinomial Naive Bayes, Multinomial Naive Bayes with Bagging, Adaptive Boosting (AdaBoost), Optimized AdaBoost, Support Vector Machine (SVM), Optimized SVM, Logistic Regression, and Long-Short Term Memory (LSTM) for sentiment analysis. Results: The results of the experimental study showed that the Optimized SVM performed better than the other classifiers, with a training accuracy of 99.73% and testing accuracy of 89.74% compared to other models. Conclusion: Optimized SVM uses the RBF kernel function and nonlinear hyperplanes to split the dataset into classes, correctly classifying the dataset into distinct polarity. This, together with Feature Engineering utilizing Forward Trigrams and Weighted TF-IDF, has improved Optimized SVM classifier performance regarding train and test accuracy. Therefore, the train and test accuracy of Optimized SVM are 99.73% and 89.74% respectively. When compared to Random Forest, a mar-ginal of 0.09% and 1.73% performance enhancement is observed in terms of train and test accuracy and 1.29% (train accuracy) and 3.63% (test accuracy) of improved performance when compared with LSTM. Likewise, Optimized SVM, gave more than 10% of enhanced performance in terms of train accuracy when compared with Gaussian Nae Bayes, Multinomial Nae Bayes, Multinomial Nae Bayes with Bagging, Logistic Regression and a similar enhancement is observed with Ada-Boost and Optimized AdaBoost which are ensemble models during the experimental process. Optimized SVM also has outperformed all the classification models in terms of AUC-ROC train and test scores.. 2024 Bentham Science Publishers. Creator An entity primarily responsible for making the resource Patil S.; Subil D.; Nasar N.; Kokatnoor S.A.; Krishnan B.; Kumar S. Source A related resource from which the described resource is derived Recent Advances in Computer Science and Communications, Vol-17, No. 1, pp. 21-37. Publisher An entity responsible for making the resource available Bentham Science Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.2174/2666255816666230726140726" target="_blank" rel="noreferrer noopener">https://doi.org/10.2174/2666255816666230726140726</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185523490&doi=10.2174%2F2666255816666230726140726&partnerID=40&md5=f786f90143f1c9275a7e687287251656" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185523490&doi=10.2174%2f2666255816666230726140726&partnerID=40&md5=f786f90143f1c9275a7e687287251656</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 26662558 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 Patil S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Subil D., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Nasar N., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Kumar S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, 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 Text Summarization Techniques for Kannada Language Subject The topic of the resource Abstractive; Extractive; LSTM; ROUGE; Text processing; TF-IDF Description An account of the resource Text Summarization is summarizing the original text document into a shorter description. This short version should retain the meaning and information content of the original text document. A concise summary can help humans quickly understand a large original document better in a short time. Summarization can be used in many text documents, such as reviews of books, movies, newspaper articles, content, and huge documents. Text summarization is broadly classified into extractive Text Summarization (ETS) and Abstractive Text Summarization (ATS). Even though more research works are carried out using extractive methods, meaningful summaries can be attained using abstractive summary techniques, which are more complex. In Indian languages, very few works are carried out in abstract summarization, and there is a high need for research in this area. The paper aims to generate extractive and abstractive summaries of the text by using deep learning and extractive summaries and comparisons between them in the Kannada language. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Yogish D.; Jalapur S.; Yogisha H.K.; Mithun B.N. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-1121 LNNS, pp. 107-117. 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/10.1007/978-981-97-7423-4_9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-7423-4_9</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213048008&doi=10.1007%2F978-981-97-7423-4_9&partnerID=40&md5=ff4c54e527e85cf982e24531c8839766" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213048008&doi=10.1007%2f978-981-97-7423-4_9&partnerID=40&md5=ff4c54e527e85cf982e24531c8839766</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981977422-7 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 Yogish D., CHRIST University, Karnataka, Bengaluru, India; Jalapur S., CHRIST University, Karnataka, Bengaluru, India; Yogisha H.K., Ramaiah Institute of Technology, Karnataka, Bengaluru, India; Mithun B.N., CHRIST University, Karnataka, 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 Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Text Summarization Using Combination of Sequence-To-Sequence Model with Attention Approach Subject The topic of the resource Attention layer; Decoderencoder; Long-term short memory; Recurrent neural network; Text summarization Description An account of the resource In daily life, we come across tons and tons of information which can be related to news articles or any kind of social media posts or customer reviews related to product. It is difficult to read all the content due to time constraint. Being able to develop the software that can identify and automatically extract the important information. There are two types of summarization methods. Extractive text summarization is the method where it picks the important content from the source text and gives same in the form of short summary, and on the other hand, abstractive summarization is the technique where it gets the context of the source text, and based on that context, it regenerates small and crisps summary. In this paper, we use the concept of neural network with attention layer to deal with abstractive text summarization that generates short summary of a long piece of text using review dataset. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Bhandarkar P.; Thomas K.T. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-141, pp. 283-293. 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/10.1007/978-981-19-3035-5_22" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-3035-5_22</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140240291&doi=10.1007%2F978-981-19-3035-5_22&partnerID=40&md5=24f895270b131fea51a6e9d7b397f3ad" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140240291&doi=10.1007%2f978-981-19-3035-5_22&partnerID=40&md5=24f895270b131fea51a6e9d7b397f3ad</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bhandarkar P., Department of Data Science, CHRIST University, Bangalore, India; Thomas K.T., Department of Data Science, CHRIST University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Text summarization using residual-based temporal attention convolutional neural network Subject The topic of the resource Classifier; Computational complexity; Entropy values; Feature extraction; Improved Initialization strategy-based aquila optimization algorithm; Residual-based temporal attention convolutional neural network Description An account of the resource To address the computational complexity and limited to large data Enhanced Residual based Temporal Attention Convolutional Neural Network (ERTACNN) with Improved Initialization strategy-based Aquila Optimization Algorithm (IIAOA) is proposed. Initially the document is pre-processed to get structured data and given to feature extraction. Then the features are selected with Aquila Optimization Algorithm to remove redundant or unrelated features from high-dimensional data, from which the entropy values are calculated and given to proposed classifier. In this classification, the temporal attention mechanism is combined with classifier to compute attention weight and accompanied with important time points for classifying the documents. Finally, the proposed method is implemented in python and evaluated against existing works which achieves 70.34, 55.6 and 72.4 Recall Oriented Understudy for Gisting Evaluation (ROUGE) score than existing approaches. 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management. Creator An entity primarily responsible for making the resource Rajan R.P.; Jose D.V. Source A related resource from which the described resource is derived International Journal of Information Technology (Singapore) 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-023-01581-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-023-01581-4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174613847&doi=10.1007%2Fs41870-023-01581-4&partnerID=40&md5=48b6f91fe9a8dae361cf9ff68324ea5a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174613847&doi=10.1007%2fs41870-023-01581-4&partnerID=40&md5=48b6f91fe9a8dae361cf9ff68324ea5a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25112104 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 Rajan R.P., Department of Computer Science, Christ (Deemed to Be University), Karnataka, Bengaluru, India; Jose D.V., Department of Computer Science, Christ (Deemed to Be University), Karnataka, 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 Text-Based Sentimental Analysis to Understand User Experience Using Machine Learning Approaches Subject The topic of the resource Google Colab; LSTM; Python; Sentiment Analysis; Twitter Description An account of the resource Data Analysis is turning into a driving force in every industry. It is a process in which data is analyzed in multiple ways to come to certain conclusions for the given situation. Sentiment analysis can be said to be a sub-section of data analysis where analysis is carried out on the emotions and opinions of the text. Social media has a plethora of sentiment data in various forms such as tweets, updates on the status, and so forth. Sentiment analysis on the huge volume of data can help in identifying the opinions of the general mass.The primary goal is to find the opinion of customers on the services of the Bangalore airport and to enhance the nature of these services according to the feedback provided. In this paper, we aim to measure customer opinion on services provided by Bangalore Airport through sentiment. Data is collected by a python-based scraper. The tweets are processed to determine whether they are of positive or negative opinion. These opinions are then analyzed to determine the factors which cause the negative opinions and the airport staff are alerted about the same. Various algorithms were used as part of the experimental analysis. LSTM produces more accuracy compared with existing approaches. 2023 IEEE. Creator An entity primarily responsible for making the resource Gokulapriya R.; Sambandam R.K.; Balamurugan M. Source A related resource from which the described resource is derived 2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023, pp. 402-408. 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/ICACCS57279.2023.10112939" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACCS57279.2023.10112939</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159771251&doi=10.1109%2FICACCS57279.2023.10112939&partnerID=40&md5=5d0ca4eeb1d8e33b434a4fea7fe54e0c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159771251&doi=10.1109%2fICACCS57279.2023.10112939&partnerID=40&md5=5d0ca4eeb1d8e33b434a4fea7fe54e0c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039737-6 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 Gokulapriya R., SOET, CHRIST (Deemed to be University), Dept. of Computer Science and Engineering, Bengaluru, India; Sambandam R.K., SOET, CHRIST (Deemed to be University), Dept. of Computer Science and Engineering, Bengaluru, India; Balamurugan M., SOET, CHRIST (Deemed to be University), Dept. of Computer Science and Engineering, 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 Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Textile tourism and the challenges of the indigenous handloom sector in Northern Kerala Description An account of the resource This study investigates the functioning of indigenous handloom enterprises and their relationship with textile tourism. It also explores the regional textile industry and the challenges weavers encounter in promoting their goods to visitors and exporters. Data was collected using a purposive sampling method, and a structured questionnaire was administered to 120 weavers from four textile weaving centers in Kozhikode, Kerala. The most significant obstacle for weavers and independent producers is the lack of direct communication with customers and the limited access to information provided by manufacturers, corporations, and gallery owners. Firstly, handcrafted items are becoming more accessible and affordable; secondly, the interest of the younger generation is gradually fading, which reduces the number of skilled professionals. The result of this study provides insight into how Khadi Textiles has the potential to contribute positively to socioeconomic achievements and enhance weaver's and destination image. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Nikhilraj K.; Thomas J. Source A related resource from which the described resource is derived Examining Tourist Behaviors and Community Involvement in Destination Rejuvenation, pp. 194-206. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-6819-0.ch015" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-6819-0.ch015</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197708918&doi=10.4018%2F979-8-3693-6819-0.ch015&partnerID=40&md5=543fc8204933745fbc9cfdd8303e3a11" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197708918&doi=10.4018%2f979-8-3693-6819-0.ch015&partnerID=40&md5=543fc8204933745fbc9cfdd8303e3a11</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836936821-3; 979-836936819-0 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 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 Nikhilraj K., Christ University, India; Thomas 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 Textual and media-based self-learning modules: Support for achievement in algebra and geometry Subject The topic of the resource Achievement; Algebra; Geometry; Individualised Learning; Media Form; Self-Learning Modules; Textual Form Description An account of the resource Owing to the importance of a subject like mathematics in the teaching and learning of science, self-learning often poses a challenge to the educator. The objective of this study is to analyse the enhancement of the textual and the media form of self-learning modules to teach algebra and geometry to eighth graders considering their retention levels. A pre-Test post-Test single-group quasi experimental design was tested and tried out on 49 participants of a school. The 20 modules of self-learning material covering content in the topics of algebra and geometry in the textual and media-Assisted forms of self-learning were administered over three months. The findings of the study revealed the ability of media-Assisted self-learning modules to enhance achievement in the post-Test when compared to the pre-Test. The textual-Assisted learning modules were able to enhance significant difference in the achievements in geometry, but not of algebra. The delayed post-Test results were found to indicate an improved achievement in mathematics. 2022 IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Kareem J.; Mathew M.M.; David D. Source A related resource from which the described resource is derived International Journal of Virtual and Personal Learning Environments, Vol-12, No. 1 Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/IJVPLE.285596" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/IJVPLE.285596</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149943543&doi=10.4018%2FIJVPLE.285596&partnerID=40&md5=d400c3650cc9c5d4ca609aaec740a6f0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149943543&doi=10.4018%2fIJVPLE.285596&partnerID=40&md5=d400c3650cc9c5d4ca609aaec740a6f0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19478518 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 Kareem J., Christ University, India; Mathew M.M., Christ Junior College, India; David D., St. Mary s School, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Prakash, Shubhra; Ramamurthy, B. Title A name given to the resource Texture-Based DNN for Pneumonia in Thorax X-Rays Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived International Research Journal of Multidisciplinary Scope;Volume;6;Issue;3;pp.1333-1349 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.47857/irjms.2025.v06i03.05118" target="_blank" rel="noreferrer noopener">https://doi.org/10.47857/irjms.2025.v06i03.05118</a> <a href="https://www.scopus.com/pages/publications/105012840237?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012840237?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prakash S., CHRIST University, Bangalore, India; Ramamurthy B., CHRIST University, Bangalore, India Description An account of the resource This paper introduces an innovative methodology for identifying pneumonia in thoracic X-ray images through the application of neural network classifiers. In our experiment, we employed a comprehensive training regimen involving multiple neural network classifiers, each trained on distinct sets of texture features meticulously extracted from thoracic X-ray images. Four different gray-level matrices and a neighboring gray-tone difference matrix (NGTDM) were used to generate these input features, guaranteeing a reliable depiction of the textural properties found in the X-ray pictures. We carried out an extensive evaluation utilizing a number of performance criteria to gauge the trained classifiers' efficacy. Classifying the thoracic X-ray pictures into two groups pneumonia and healthy state was the assignment assigned to the classifiers. A thorough study of the classifiers' performance was provided by our assessment measures, which comprised accuracy, precision, recall, F1-score, and the area under the receiver operating characteristic curve (AUC-ROC). The experimental findings showed that the suggested method accomplished a remarkable 91% overall test categorization accuracy, which was encouraging. This degree of precision highlights how well our approach works to accurately diagnose pneumonia from thoracic X-ray images. Furthermore, the consistent performance across different metrics highlights the robustness and generalizability of the proposed strategy. 2025, Iquz Galaxy Publisher. All rights reserved. Subject The topic of the resource GLCM; GLDM; GLRLM; GLSZM; NGTDM; Texture Features Publisher An entity responsible for making the resource available Iquz Galaxy Publisher Relation A related resource ISSN: 2582631X; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource THAYIL, JEET (1959-) Description An account of the resource [No abstract available] Creator An entity primarily responsible for making the resource Tanupriya Source A related resource from which the described resource is derived The Routledge Encyclopedia of Indian Writing in English, pp. 427-428. Publisher An entity responsible for making the resource available Taylor and Francis 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176324941&partnerID=40&md5=3641745934c7d1443665ea7f3c75e528" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176324941&partnerID=40&md5=3641745934c7d1443665ea7f3c75e528</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100093315-4; 978-103224557-7 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 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 Tanupriya, Department of English and Cultural Studies, CHRIST (Deemed to be University), Delhi NCR campus, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Prebhath, Vinny Susan; Naduvath, Sudev Title A name given to the resource The (Pk,I) Transformation Graph of a Graph Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Trends in Mathematics;Volume;Part F1273;pp.115-130 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-04418-1_10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-04418-1_10</a> <a href="https://www.scopus.com/pages/publications/105026804215?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105026804215?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prebhath V.S., Christ University, Karnataka, Bangalore, India; Naduvath S., Christ University, Karnataka, Bangalore, India Description An account of the resource A study on graphs that are derived from graphs based on the intersection of all k-paths of a graph G is initiated. The (Pk,I) transformation graph of paths, cycles, Pn?pK1 and Cn?pK1 is discussed. Also, certain structural properties of the newly constructed graph are also discussed. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource (Pk,I) transformation; Intersection graphs; k-path Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 22970215; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library