805 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 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 Enhancing Industrial Equipment Reliability: Advanced Predictive Maintenance Strategies Using Data Analytics and Machine Learning Description An account of the resource In today's dynamic industrial landscape, optimizing machinery performance and minimizing downtime are paramount for sustained operational excellence. This paper presents advanced predictive maintenance strategies, with a focus on leveraging machine learning and data analytics to enhance the reliability and efficiency of industrial equipment. The study explores the key components of predictive maintenance, including data collection, condition monitoring, predictive models, failure prediction, optimized maintenance scheduling and the extension of equipment longevity. The paper discusses how predictive maintenance aligns with modern industrial paradigms. The study evaluated the performance of five popular forecasting models like Random Forest, Linear Regression, Exponential Smoothing, ARIMA, and LSTM, to estimate maintenance for industrial equipment. The effectiveness of each model was evaluated using a number of performance metrics. The percentage of the variation in the real data that the model can explain is shown by the R-squared number. The lowest MSE, RMSE, and greatest R-squared values indicate a model's accuracy. The study highlights practical implications across diverse industries, showcasing the transformative impact of predictive maintenance on minimizing unplanned downtime, reducing maintenance costs, and maximizing the lifespan of critical machinery. When it comes to predictive maintenance for industrial machinery, the LSTM model has been shown to be the most accurate and efficient model with the highest R-squared value, indicating a better fit and higher predictive ability. As technology continues to evolve, the paper discusses future directions, including the integration of artificial intelligence and advanced analytics, and emphasizes the importance of continuous improvement in refining predictive maintenance strategies for the evolving needs of industries worldwide. 2024 IEEE. Creator An entity primarily responsible for making the resource Vincent M.; Thomas S.; Suresh S.; Prathap B.R. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 IEEE International Conference on Contemporary Computing and Communications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC460750.2024.10649212" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649212</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203790167&doi=10.1109%2FInC460750.2024.10649212&partnerID=40&md5=b55778b9a08a8619d475881f60df35d5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203790167&doi=10.1109%2fInC460750.2024.10649212&partnerID=40&md5=b55778b9a08a8619d475881f60df35d5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vincent M., CHRIST Deemed to be University, Department of Computer Science and Engineering, Bengaluru, India; Thomas S., CHRIST Deemed to be University, Department of Computer Science and Engineering, Bengaluru, India; Suresh S., CHRIST Deemed to be University, Department of Computer Science and Engineering, Bengaluru, India; Prathap B.R., CHRIST Deemed to be University, Department 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 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 Automated segmentation and classification of nuclei in histopathological images Subject The topic of the resource annotated; classifier; computer-assisted diagnosis; deep learning; digital image analysis; histopathological images; machine learning; nuclear; nuclei; segmentation; whole slide images Description An account of the resource Various kinds of cancer are detected and diagnosed using histopathological analysis. Recent advances in whole slide scanner technology and the shift towards digitisation of whole slides have inspired the application of computational methods on histological data. Digital analysis of histopathological images has the potential to tackle issues accompanying conventional histological techniques, like the lack of objectivity and high variability. In this paper, we present a framework for the automated segmentation of nuclei from human histopathological whole slide images, and their classification using morphological and colour characteristics of the nuclei. The segmentation stage consists of two methods, thresholding and the watershed transform. The features of the segmented regions are recorded for the classification stage. Experimental results show that the knowledge from the selected features is capable of classifying a segmented object as a candidate nucleus and filtering out the incorrectly identified segments. Copyright 2022 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Vincent S.; Chandra J. Source A related resource from which the described resource is derived International Journal of Biomedical Engineering and Technology, Vol-38, No. 3, pp. 249-266. Publisher An entity responsible for making the resource available Inderscience Publishers 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/10.1504/IJBET.2022.121739" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJBET.2022.121739</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128739597&doi=10.1504%2FIJBET.2022.121739&partnerID=40&md5=b34d7968c2cf4da98adb1dd3f93f35ea" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128739597&doi=10.1504%2fIJBET.2022.121739&partnerID=40&md5=b34d7968c2cf4da98adb1dd3f93f35ea</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17526418 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 Vincent S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Chandra J., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Apparel shopping styles of young adult consumers in Bangalore Subject The topic of the resource Apparels; Consumer styles inventory; Shopping styles; Young adults Description An account of the resource Apparels are one of the most frequently purchased product categories where young adults have the authority to make independent buying decisions, and they also become trendsetters and opinion leaders. Understanding this large segment appropriately is crucial for apparel manufacturers and marketers as they promise longevity of market and exert substantial influence on their parents, peers, as well as their own spending. The present study segmented young adult consumers based on their shopping styles towards purchase of apparels and explored the differences in the shopping styles across demographics such as gender, educational levels, and regional background. The respondents for the study were young adults who belonged to the age group of 18 - 25 years residing in Bangalore, India. The variables under study were eight shopping styles adapted from Sproles and Kendall Consumer Style Inventory- CSI (1986). The study revealed that all the eight shopping styles of the CSI were manifested among young adults in Bangalore; however, the predominant shopping style was the Perfectionist/ High Quality Conscious shopping style. Furthermore, significant differences in the shopping styles of young adults across gender, educational levels, and regional background were found. Creator An entity primarily responsible for making the resource Vincent T.N. Source A related resource from which the described resource is derived Indian Journal of Marketing, Vol-46, No. 2, pp. 50-60. Publisher An entity responsible for making the resource available Associated Management Consultants Pvt. Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2016-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.17010/ijom/2016/v46/i2/87258" target="_blank" rel="noreferrer noopener">https://doi.org/10.17010/ijom/2016/v46/i2/87258</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997328015&doi=10.17010%2Fijom%2F2016%2Fv46%2Fi2%2F87258&partnerID=40&md5=552f73abe639e50cb3a536addce293ed" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997328015&doi=10.17010%2fijom%2f2016%2fv46%2fi2%2f87258&partnerID=40&md5=552f73abe639e50cb3a536addce293ed</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9738703 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 Vincent T.N., Department of Commerce, Christ University, # 29, Hosur Road, Bangalore, 560 029, 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 Vincent, G.; Baburaj, Pranav; Kumari, Manisha; Sharada, S.; Hanumanthu, Kanaka Durga; James, Arun Title A name given to the resource Factors Influencing Equity Investment Intention: A Behavioral Perspective 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.1560-1574 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.47857/irjms.2025.v06i03.04474" target="_blank" rel="noreferrer noopener">https://doi.org/10.47857/irjms.2025.v06i03.04474</a> <a href="https://www.scopus.com/pages/publications/105013197828?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013197828?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 Vincent G., SRM Institute of Science and Technology (Deemed to be University), Tiruchirappalli, India; Baburaj P., Department of Commerce & Professional Studies, Rajagiri College of Social Sciences, Kalamassery, India; Kumari M., Presidency College, Autonomous, Bengaluru, India; Sharada S., MES Institute of Management, Rajajinagar, Bengaluru, India; Hanumanthu K.D., KL Business School, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, Vaddeswaram, India; James A., Christ Deemed to be University, Bengaluru, India Description An account of the resource Many financial and psychological factors influence equity investment decisions. The present study examines the influence of Personality, risk attitude, and financial literacy on equity investment intention. Questionnaire responses were collected from Bengaluru investors. The present study uses the Big Five Personality Traits (Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness to Experience) to categorise individual behaviour tendencies. Risk attitude is examined as a mediator variable, and financial literacy (Financial Knowledge, Financial Skill, and Financial Attitude) is examined as a moderator variable. The results show that extraversion, conscientiousness, and openness to experience positively affect equity investment intention, and Neuroticism negatively affects equity investment intention. Risk-taking propensity also moderates the personality-investment intention relationship and shows that individuals with high risk-taking propensity invest in equities. Financial literacy also moderates the relationship and implies that financial knowledge and ability are key determinants of investing. These results have policy and practice implications for investment educators, policymakers, and financial planners and indicate the value of investor-specified advice founded on psychological and financial literacy profiles. Financial literacy programs can assist investors in making effective investment decisions and managing risk. This research contributes to the behavioural finance literature by integrating personality psychology and financial literacy as investment decision-making frameworks. 2025, Iquz Galaxy Publisher. All rights reserved. Subject The topic of the resource Behavioural Finance; Equity Investment Intention; Financial Literacy; Personality Traits; Risk Propensity 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 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 61000080 Title A name given to the resource A Study of fractal properties of turbulent functions Subject The topic of the resource Mathematics and Statistics Description An account of the resource The studies have been mainly done in the discrete dynamical systems in topological spaces, we study the various types of relationships between chaotic functions and turbulent functions, a study of turbulent newlinefunctions in metric spaces, and the fractal nature of turbulent functions. In connection with this we study the relationship between turbulent function and chaos, also the relation between fractals and chaos. First newlinepart of the work gives a holistic outlook over the concepts like Turbulent Functions, Chaos and Fractals.Viewing the relevance of studying the irregular sets in the present and future scenario, we started our work newlinefocusing on the fractal nature of turbulent functions. The study incorporates the concepts like turbulent function, chaos and fractals along with rapid fluctuations. According to Robert Devaney, the three ingredients of chaos are sensitivity, density and transitivity. Rapid fluctuations newlineare very much connected with sensitive functions and turbulent functions. We could not and any implied relation between turbulence and sensitive functions. So we study the other two ingredients of chaos, newlinetransitivity and density. We answer a series of questions like whether the iterated function system can be chaotic. Will the contractions are Devaney chaotic. If we can find such a chaotic contraction, will it generate a self similar set? If there is such a self similar set, will it be a fractal? In order to answer the question, we have gone for generalization with continuous maps and homeomorphisms. Hence we study the fractal properties of turbulent function in a topological view point.The question that we have faced during the discussion and study of fractal properties of turbulent function is that whether a given turbulent function newlinef in a compact metric space provides an attractor and if there is an attractor, will it be a fractal. Creator An entity primarily responsible for making the resource Vincent, N S. 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 2017-01-01 Contributor An entity responsible for making contributions to the resource Kumar, Vinod P B. 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/10603/204288" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/204288</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 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 61000073 Title A name given to the resource Managing individual and orgnizational challenges with respect to diversity perceptions and social capital among members of virtual teams, Subject The topic of the resource Management Studies Description An account of the resource Diversity encompasses complex differences and similarities in perspectives, identities, and points of view among members of an institution as well as among individuals who make up the wider community. Diversity includes important and interrelated dimensions of human identity such as race, ethnicity, gender, gender identity and newlineexpression, socio-economic status, nationality, citizenship, religion, newlinesexual orientation, ability and age. These differences are important to understand but they cannot be used to predict any individual s values, choices or responses. Organizations with diverse employees are better suited to serve diverse external customers in an increasingly global market. Such organizations have a better understanding of the requirements of the legal, political, social, economic, and cultural environments. Organizations that manage diversity are recipients of more commitment, and better satisfied as well newlineas better performing employees (Patrick and Kumar,2012). newlineEnsuring better social relations among team members has become complex. The nature of teams is not how they used to be, organizations have spread across geographically which has led to the birth of virtual teams. Virtual team members are been separated by time and space this makes it even more difficult to ensure that social capital is being maintained among virtual team members, as only when there is a trust, newlinereciprocity and cooperation among virtual team members they will be better connected individuals who obtain greater advantages, this ensures that groups and organizations improve performance and obtain sustainable competitive advantage (Tsai and Ghoshal, 1998). newlineThe present investigation was focused on understanding the perception of members of virtual teams towards diversity at workplace. newlineThis study newlineassists us to find out how virtual team members can overcome Individual newlineand Organizational Challenges towards diversity and to find out the social newlinerelations among virtual team members, how much trust exists among them. Creator An entity primarily responsible for making the resource Vincent, Raj Kumar M. 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 2017-01-01 Contributor An entity responsible for making contributions to the resource Patrick, Harold Andrew 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/10603/183524" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/183524</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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Vincent, Stephin Tom; George, Jossy; Kumar, Pawan Title A name given to the resource Online Fake News Detection using Machine Learning and Natural Language Processing Algorithms 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 2025 World Skills Conference on Universal Data Analytics and Sciences, WorldSUAS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/WorldSUAS66815.2025.11199266" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/WorldSUAS66815.2025.11199266</a> <a href="https://www.scopus.com/pages/publications/105022238751?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022238751?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 Vincent S.T., CHRIST (Deemed to Be University), India; George J., CHRIST (Deemed to Be University), India; Kumar P., CHRIST (Deemed to Be University), India Description An account of the resource Fake news in the digital platforms plays a vital threat to many of the influencing factors of the society. The research focuses on the challenges of online fake news detection from the performance achieved by the machine learning classifiers using the natural processing techniques. Logistic Regression and Random Forest are taken to test the dataset containing labelled fake and real news for the study. The models are evaluated using the key metrices as accuracy, precision, recall, F1-score, confusion matrix and from the ROC AUC score. The research demonstrates which model is more reliable and more consistent for finding the fake and real news. For semantic text analysis BERT embeddings are used in the research as it will help analyze the article with more accuracy and precision. The metrics evaluation and the ROC curve of the both models helps in knowing even the slight deviations projected in the metrics. The differences in the valuations and the metrics values showed the capabilities of both the models in detecting the online news as fake or real. The comparisons made from the two models helps in evaluating the models and to understand the limitations of it as the analyze and detection of the text is more complicated. The research aims to deliver a strong foundation for real-time fake news detection in this new era. 2025 IEEE. Subject The topic of the resource BERT; Fake News Detection; Logistic Regression; Machine Learning; Natural Language Processing; Precision-Recall; Random Forest; ROC AUC; Text Classification Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833153925-2; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Apparel shopping styles of young adult consumers in Bangalore / Subject The topic of the resource Commerce Description An account of the resource Indian Journal Of Marketing, Vol.46, Issue 2, pp.267-279, ISSN No: 0973-8703. Creator An entity primarily responsible for making the resource Vincent, Theresa Nithila Source A related resource from which the described resource is derived <a href="https://www.indianjournalofmarketing.com/index.php/ijom/article/view/87258" target="_blank" title="Apparel shopping styles of young adult consumers in Bangalore" rel="noreferrer noopener">https://www.indianjournalofmarketing.com/index.php/ijom/article/view/87258</a> Publisher An entity responsible for making the resource available Emerald Group Date A point or period of time associated with an event in the lifecycle of the resource 2015-02-10 Language A language of the resource English Type The nature or genre of the resource Journal Article https://archives.christuniversity.in/files/original/aa273b1daeb86f7cea9d9e190adaff80.png ae8597b1fb62da5294ca14f6fc0ece85 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Covid 19 impact assessment index for manufacturing MSMES / Subject The topic of the resource Computer Science Description An account of the resource Patent Number: 202141035478, Applicant: Theresa Nithila Vincent. The COV1D 19 pandemic disrupted the functioning of enterprises and posed a significant effect on the Micro, Small and Medium Enterprises (MSMEs) sector. The level of impact was varying depending on the type of business. This study aims to develop an index to assess the impact of COVTD 19 on the manufacturing MSMEs by studying the impact on the Key Performance Indicators, namely; Labour, Supply Chain, Production and Revenue. Creator An entity primarily responsible for making the resource Vincent, Theresa Nithila. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1of4ieNmh1gAZyq0vI1VHsaGjqwEMzCil/view" target="_blank" title="Covid 19 impact assessment index for manufacturing MSMES" rel="noreferrer noopener">https://drive.google.com/file/d/1of4ieNmh1gAZyq0vI1VHsaGjqwEMzCil/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2021-04-01 Language A language of the resource English Type The nature or genre of the resource Patent Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Detection of tuberculosis using convolutional neural network with transfer learning Subject The topic of the resource Convolutional Neural Network (CNN); Inception-v3; Transfer Learning(TL); Tuberculosis (TB) Description An account of the resource Tuberculosis is sighted as the one of the life causing disease in the recent time. The current research work focus on detection of Tuberculosis using Convolutional Neural Network with Transfer Learning for chest X-ray images. The proposed research work uses two different datasets for detecting Tuberculosis from Chest X-ray images, which is taken from National Institutes of Heaths. During the experimental work, the total sample size used for detecting Tuberculosis is 800 instances. Initially, the image processing techniques were applied to increase the quality of Chest X-ray images. The proposed model uses Convolution Neural Network with transfer learning for the detection of Tuberculosis with 98.7% as accuracy. The proposed model is checked with convolutional neural network without transfer learning. From the experimental evaluation, it is found that the proposed model works better than the Convolution Neural Network without using the transfer learning. 2017, Institute of Advanced Scientific Research, Inc. All rights reserved. Creator An entity primarily responsible for making the resource Vincin Pradheep C.; Chandra J. Source A related resource from which the described resource is derived Journal of Advanced Research in Dynamical and Control Systems, Vol-9, No. Special issue 14, pp. 2532-2542. Publisher An entity responsible for making the resource available Institute of Advanced Scientific Research, Inc. 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-s2.0-85048967986&partnerID=40&md5=2a735e5e1a0fe81f9bb653f21e35e14b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048967986&partnerID=40&md5=2a735e5e1a0fe81f9bb653f21e35e14b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1943023X 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 Vincin Pradheep C., Department of Computer Science, Christ (Deemed to be University), Bangalore, 560029, India; Chandra J., Christ (Deemed to be University, Bangalore, 560029, 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 Down syndrome detection using modified adaboost algorithm Subject The topic of the resource AdaBoost algorithm; Backpropagation; Bayes classifier; Down syndrome; Facial points Description An account of the resource In human body genetic codes are stored in the genes. All of our inherited traits are associated with these genes and are grouped as structures generally called chromosomes. In typical cases, each cell consists of 23 pairs of chromosomes, out of which each parent contributes half. But if a person has a partial or full copy of chromosome 21, the situation is called Down syndrome. It results in intellectual disability, reading impairment, developmental delay, and other medical abnormalities. There is no specific treatment for Down syndrome. Thus, early detection and screening of this disability are the best styles for down syndrome prevention. In this work, recognition of Down syndrome utilizes a set of facial expression images. Solid geometric descriptor is employed for extracting the facial features from the image set. An AdaBoost method is practiced to gather the required data sets and for the categorization. The extracted information is then assigned and used to instruct the Neural Network using Backpropagation algorithm. This work recorded that the presented model meets the requirement with 98.67% accuracy. 2021 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Vincy Devi V.K.; Rajesh R. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-11, No. 5, pp. 4281-4288. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v11i5.pp4281-4288" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v11i5.pp4281-4288</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107311851&doi=10.11591%2Fijece.v11i5.pp4281-4288&partnerID=40&md5=64be607b8ba4102928420c0dd6375318" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107311851&doi=10.11591%2fijece.v11i5.pp4281-4288&partnerID=40&md5=64be607b8ba4102928420c0dd6375318</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 20888708 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vincy Devi V.K., Department of Computer Science, Bharathiar University, Coimbatore, India; Rajesh R., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Down syndrome detection using modified ant colony optimization algorithm Subject The topic of the resource Backpropogation neural network (BPNN); Down syndrome;ant colony optimization (ACO); Fiducial points Description An account of the resource Nowadays, the systems related to healthcare are restructured with innovative skills to offer humans more intellectual and proficient healthcare facilities. Various intelligent healthcare systems are exhibited with the help of machine learning and artificial intelligent tools to offer intellectual and expert services. In human body genetic codes are stored in the genes. All of our inherited traits are associated with these genes and are grouped as structures generally called chromosomes. In typical cases, each cell consists of 23 pairs of chromosomes, out of which each parent contributes half. But if a person has a partial or full copy of chromosome 21, the situation is called Down syndrome. It results in intellectual disability, reading impairment, developmental delay, and other medical abnormalities. This paper introduces an intelligent prediction and classification system for healthcare, feature selection based on density with Ant Colony Optimization (ACO) algorithm for Down syndrome (DS). 2021, Engg Journals Publications. All rights reserved. Creator An entity primarily responsible for making the resource Vincy Devi V.K.; Rajesh R. Source A related resource from which the described resource is derived Indian Journal of Computer Science and Engineering, Vol-12, No. 2, pp. 478-484. Publisher An entity responsible for making the resource available Engg Journals Publications 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/10.21817/indjcse/2021/v12i2/211202136" target="_blank" rel="noreferrer noopener">https://doi.org/10.21817/indjcse/2021/v12i2/211202136</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108003850&doi=10.21817%2Findjcse%2F2021%2Fv12i2%2F211202136&partnerID=40&md5=a60a51298bd53ee3e6071b55bdf9e978" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108003850&doi=10.21817%2findjcse%2f2021%2fv12i2%2f211202136&partnerID=40&md5=a60a51298bd53ee3e6071b55bdf9e978</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 9765166 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 Vincy Devi V.K., Department of Computer Science Bharathiar University, Coimabatore, India; Rajesh R., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Examining the effect of explicit instruction on vocabulary learning and on receptive-productive gap: An experimental study Subject The topic of the resource Explicit instruction; Productive vocabulary; Receptive vocabulary; Receptive-productive gap; Repeated exposure Description An account of the resource This research study emphasized the importance of explicit instruction and repeated exposure to the target vocabulary for effective reception and production of new words among the second language learners of English. The purpose of the study was to examine the efficacy of the researcher- created supplementary for the prescribed set of vocabulary in the English language textbook. The study aimed to find out the amount of influence the explicit instruction and repeated exposure to the target vocabulary had on the nature of the receptive- productive gap. A total of sixty-two sixth grade students from a Government school in Tamil Nadu, India, participated in the experimental study which was conducted over a period of three months. The results of the study showed that the explicit instruction and repeated exposure to the target vocabulary had a significant amount of influence on vocabulary knowledge when compared to the conventional way of vocabulary instruction. In the conventional mode of vocabulary instruction, reception of vocabulary was found to have an average of 8% influence on the production knowledge, whereas in the case of the experimental group, it amounted up to 72%. This analysis showed that through explicit instruction and repeated exposure to the target vocabulary the receptive- productive gap is significantly reduced. 2020 JLLS and the Authors - Published by JLLS. Creator An entity primarily responsible for making the resource Vincy I.R. Source A related resource from which the described resource is derived Journal of Language and Linguistic Studies, Vol-16, No. 4, pp. 2040-2058. Publisher An entity responsible for making the resource available Selcuk University Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.17263/JLLS.851033" target="_blank" rel="noreferrer noopener">https://doi.org/10.17263/JLLS.851033</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099335040&doi=10.17263%2FJLLS.851033&partnerID=40&md5=728cf2e2717c4dcf5760d988a0b3ff6f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099335040&doi=10.17263%2fJLLS.851033&partnerID=40&md5=728cf2e2717c4dcf5760d988a0b3ff6f</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 1305578X 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 Vincy I.R., CHRIST, Deemed to be University, Bengaluru, India https://archives.christuniversity.in/files/original/6d2990e90e84c3f5f60d2c386a5c9ba5.pdf 9d16f2dfc792a554332296cdac25c48b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MPHIL Mphil Mphil Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Examining the Role of Explicit Instruction on Vocabulary Learning: An Experimental Study Creator An entity primarily responsible for making the resource Vincy R Infanta Date A point or period of time associated with an event in the lifecycle of the resource 2018 Source A related resource from which the described resource is derived 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 An Enhanced Automation Analysis for Structural Algorithm in Agro-Industries Using IoT Subject The topic of the resource agriculture; IoT; sensors; software; structural algorithm Description An account of the resource The Internet of Things (IoT) based structural algorithm for automatic agriculture refers to the system of using powerful real-time data collected from a variety of sensors with software and analytics to autonomously manage agro-ecosystems. This algorithm can be used to monitor environments, analyze data and use this knowledge to take specific actions to help farmers and producers maximize their production and profitability. This algorithm provides an unprecedented level of precision, accuracy and control over the agricultural environment, allowing greater efficiency and optimization in farming practices. It enables monitoring, scheduling, and control of different agro-ecosystem components, such as water, soil, fertilizer, light, humidity, temperature, soil pH and crop growth. The algorithm can also point to general trends and patterns in the environment, as well as offer timely advice to farmers in response to real-time conditions. The algorithm is also capable of automatically diagnosing and responding to unexpected problems, which can help prevent costly mistakes and excessive waste of water, fertilizer, energy, etc. 2023 by the authors. Creator An entity primarily responsible for making the resource Vineetha K R.; Bala N.N.; Sudha V.; Balakrishnan D. Source A related resource from which the described resource is derived Engineering Proceedings, Vol-59, No. 1 Publisher An entity responsible for making the resource available Multidisciplinary Digital Publishing Institute (MDPI) 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/10.3390/engproc2023059118" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/engproc2023059118</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186430694&doi=10.3390%2Fengproc2023059118&partnerID=40&md5=fa1c0abbe9131d8929381b3d583980fc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186430694&doi=10.3390%2fengproc2023059118&partnerID=40&md5=fa1c0abbe9131d8929381b3d583980fc</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 26734591 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 Vineetha K R., Department of Computer Science, Christ (Deemed to Be University), Bangalore, 560029, India; Bala N.N., Department of Mathematics, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, 600109, India; Sudha V., Department of Electronics and Communication Engineering, Sona College of Technology, Salem, 636201, India; Balakrishnan D., Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, 626126, 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 Novel dioxidomolybdenum complexes containing ONO chelators: Synthesis, physicochemical properties, crystal structures, Hirshfeld surface analysis, DNA binding/cleavage studies, docking, and in vitro cytotoxicity Subject The topic of the resource benzoylhydrazone; cytotoxicity; ethidium bromide; Hirshfeld analysis; nuclease activity Description An account of the resource A series of dioxidomolybdenum (VI) complexes, [MoO2(ESB)H2O]DMF (1), [MoO2(ESB)MeOH] (2), and [MoO2(ESB)H2O]EtOH (3), containing 3-ethoxysalicylaldehyde benzoylhydrazone have been synthesized and analysed using various spectral and analytical techniques such as elemental analyses, IR spectra, UVVis absorption spectra, X-ray crystallography, and Hirshfeld surface analysis. Based on the elemental and spectral analysis, six-coordinate geometry was assigned for these complexes wherein the hydrazone ligand binds to the metal centre in its dianionic enolate form through ONO donor set. Distorted octahedral geometry of complexes 1 and 2 was evidenced from their crystal structures, which is typical for many cis-dioxido complexes of MoVI. The proligand and the new complexes were examined for their DNA binding, DNA cleavage, and cytotoxic properties. The DNA binding efficiency of the compounds in terms of their binding constants (Kb) of the metal complexes was observed to be 1.3727 105 M?1, 3.0194 104 M?1, and 1.13206 104 M?1 for [MoO2(ESB)H2O]DMF (1), [MoO2(ESB)MeOH] (2), and [MoO2(ESB)H2O]EtOH (3), respectively, indicating that these complexes strongly bind to DNA. To determine the binding interactions of the complexes with DNA and protein (BSA), molecular docking studies were carried out. Gel electrophoresis study reveals the fact that the complexes cleaved supercoiled pUC-18 DNA to nicked form (Form II) in the presence and absence of H2O2. The complexes showed significantly high cytotoxicity against MCF-7 (breast cancer cells). 2021 John Wiley & Sons, Ltd. Creator An entity primarily responsible for making the resource Vineetha M.C.; Joy F.; Krishna P. M.; Vinod T.P.; Venkataraman S.K.; Agarwal A.K.; Nair Y.; Kurup M.R.P. Source A related resource from which the described resource is derived Applied Organometallic Chemistry, Vol-35, No. 9 Publisher An entity responsible for making the resource available John Wiley and Sons Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/aoc.6334" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/aoc.6334</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107973931&doi=10.1002%2Faoc.6334&partnerID=40&md5=4055db09e178e6c32c98eb109b115676" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107973931&doi=10.1002%2faoc.6334&partnerID=40&md5=4055db09e178e6c32c98eb109b115676</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2682605; CODEN: AOCHE 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 Vineetha M.C., Department of Applied Chemistry, Cochin University of Science and Technology, Kochi, India, Department of Chemistry, Sree Kerala Varma College, Thrissur, India; Joy F., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India; Krishna P. M., Department of Chemistry, Ramaiah Institute of Technology, Bengaluru, India; Vinod T.P., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India; Venkataraman S.K., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India; Agarwal A.K., Discovery Chemistry, Syngene International Limited, Bengaluru, India; Nair Y., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India; Kurup M.R.P., Department of Applied Chemistry, Cochin University of Science and Technology, Kochi, India, Department of Chemistry, School of Physical Sciences, Central University of Kerala, Periye, Kasaragod, 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 Structural investigation of discrete solvent protonated vanadium and other transition metal complexes of N-[(E)-(3-ethoxy-2-hydroxyphenyl)methylidene]benzohydrazide, synthetic, spectroscopic and cytotoxicity studies Subject The topic of the resource Aroylhydrazone; Azomethine; Copper(II) complex; EPR; Vanadium(V) complex; X-ray diffraction Description An account of the resource A new ligand 3-ethoxysalicylaldehyde benzoic hydrazone (H2ESB) and its copper(II), nickel(II), cobalt(II), zinc(II), and dioxidovanadium(V) complexes have been synthesized and characterized by elemental analysis, IR, UVVis and EPR studies. Copper(II) complex (2) contains 2,2?-bipyridine as a coligand. Aroyl hydrazone and its copper and vanadium complexes were characterised by single crystal XRD. The vanadium compound crystallized in triclinic space group P1- and copper compound in orthorhombic space group P212121. The solvent molecule DMF protonates to form ammonium ion in vanadium complex which neutralises the charge on the vanadium ion. Both complexes copper and vanadium show distorted square pyramidal geometry. From EPR results, spin Hamiltonian and bonding parameters were calculated. The g values in copper complexes indicate the presence of the unpaired electron in the dx?y orbital. In vitro cytotoxicity studies of aroylhydrazone and its complexes showed that copper, cobalt and vanadium complexes are more cytotoxic than hydrazone and other complexes against Dalton's lymphoma ascites cells (DLA). 2019 Elsevier B.V. Creator An entity primarily responsible for making the resource Vineetha M.C.; Sithambaresan M.; Nair Y.S.; Prathapachandra Kurup M.R. Source A related resource from which the described resource is derived Inorganica Chimica Acta, Vol-491, pp. 93-104. Publisher An entity responsible for making the resource available Elsevier S.A. Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.ica.2019.03.040" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ica.2019.03.040</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063892443&doi=10.1016%2Fj.ica.2019.03.040&partnerID=40&md5=b778d49e050ac76ea8ffb562e0dc83fc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063892443&doi=10.1016%2fj.ica.2019.03.040&partnerID=40&md5=b778d49e050ac76ea8ffb562e0dc83fc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 201693; CODEN: ICHAA 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 Vineetha M.C., Department of Applied Chemistry, Cochin University of Science and Technology, Kochi, 682 022, Kerala, India, Department of Chemistry, Sree Kerala Varma College, Thrissur, 680 011, Kerala, India; Sithambaresan M., Department of Chemistry, Faculty of Science, Eastern University, Chenkalady, Sri Lanka; Nair Y.S., Department of Chemistry, Christ University, Bengaluru, 560 029, Karnataka, India; Prathapachandra Kurup M.R., Department of Applied Chemistry, Cochin University of Science and Technology, Kochi, 682 022, Kerala, India, Department of Chemistry, School of Physical Sciences, Central University of Kerala, Tejaswini Hills, Periye, Kasaragod, 671 316, 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 Vineetha, K.R.; Bhargavi, Kovvuri N.; Narasamba Vanguri, G.L.; Mahilraj, Jenifer; Kannan, V. Title A name given to the resource FEATURE SELECTION AND CLASSIFICATION OF LEUKEMIC CELLS USING IOT AND MACHINE LEARNING 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 Journal of Mechanics of Continua and Mathematical Sciences;Volume;20;Issue;3;pp.36-53 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.26782/jmcms.2025.03.00004" target="_blank" rel="noreferrer noopener">https://doi.org/10.26782/jmcms.2025.03.00004</a> <a href="https://www.scopus.com/pages/publications/105000512011?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000512011?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 Vineetha K.R., Department of Computer Science, Christ University, Karnataka, Bengaluru, 560029, India; Bhargavi K.N., Department of Information Technology, Aditya College of Engineering and Technology, Surampalem, India; Narasamba Vanguri G.L., Department of Information Technology, Aditya College of Engineering and Technology, Surampalem, India; Mahilraj J., Department of AI & DS, NPR College of Engineering and Technology, Dindigul, Natham, India; Kannan V., CLDC Research and Development, No.997, Mettupalayam Road, Near X-CutSignal, R.S.Puram, Tamil Nadu, Coimbatore, India Description An account of the resource Machine learning and the Internet of Things (IoT) have affected every step of the leukemia process, from diagnosis to understanding to therapy. Consequently, this study delves into the planning of an innovative system that employs IoT and machine learning techniques to precisely differentiate leukemic cells. Depending on the patient's samples, the system uses different ways to feature selection and cell classification. To pick the most informative collection of features that enables stable and accurate cell categorization into suitable categories, the offered research relies on strong machine-learning approaches for feature selection. Next, a classification model is used to classify cells based on their properties using the attributes that have been chosen. There is evidence that the suggested approach can classify leukemic cells with an identification rate of up to 99%, which is greater than the current methods. As a novel strategy for managing massive volumes of biological and medical samples, the suggested method will be an invaluable tool for doctors treating leukemia patients. The system's ability to process data from various Internet of Things (IoT) sources should aid its ability to learn and adapt to real-world clinical settings. With the results of this study in hand, we may be able to detect leukemia sooner, with greater precision, and maybe use more tailored treatments for each patient, leading to better results while reducing healthcare expenditures. 2025, Institute of Mechanics of Continua and Mathematical Sciences. All rights reserved. Subject The topic of the resource Diagnosing; Feature Selection; IoT; Leukemic Cells; Machine Learning; Understanding Publisher An entity responsible for making the resource available Institute of Mechanics of Continua and Mathematical Sciences Relation A related resource ISSN: 9738975; 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 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 Vineetha, K.R.; Resmi, K.R.; Amrutha, K.; Blessie, E. Chandra; Omanakuttan, Midhun Title A name given to the resource GAN-Based Metaheuristic Techniques for Data Generation and Imbalance Data Control 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 Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks;pp.220-234 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003652991-16" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003652991-16</a> <a href="https://www.scopus.com/pages/publications/105040279942?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105040279942?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 Vineetha K.R., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Resmi K.R., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Amrutha K., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Blessie E.C., School of Innovation, KG College of Arts and Science, Tamil Nadu, Coimbatore, India; Omanakuttan M., Computing Department, International College of Dundee Scotland, United Kingdom Description An account of the resource In cybersecurity today, the power of features such as threat detection, anomaly spotting, and predictive analytics depends heavily on having abundant, properly dispersed datasets. The actual datasets often fall short, suffering both from a lack of volume and skewed class distribution, for example, a flood of routine network activity records overshadowing the infrequent but vital records of malicious behavior. The performance of data-driven models hinges on access to abundant, well-distributed data. However, real-world datasets frequently exhibit inadequate sample sizes and pronounced class imbalances, limiting the viability of complex models. This chapter proposes a novel strategy for generating synthetic data and effectively managing class imbalance, leveraging the integration of Generative Oppositional Networks (GANs) and sophisticated metaheuristic optimization techniques. Rather than settling for fixed GAN architectures, our approach progressively enhances a dynamic GAN framework by deploying a metaheuristic search to identify optimal network topologies, antidote scaling factors, and training schedules. This iterative calibration enables the model to adaptively respond to the imbalance and ensures a richer, balanced synthetic training environment. This adaptive optimization addresses common GAN training pitfalls, mode collapse, and instability while consistently producing synthetic samples that are both precise and varied. What sets the framework apart is its built-in ability to detect and over-represent minority classes, intelligently augmenting the dataset to correct class imbalance without falling back on naive duplication. By equipping GANs with metaheuristic reasoning, the study seeks to elevate data synthesis beyond current limits, generating more robust and impartial machine learning models in any domain where data collection is limited or systematically skewed. 2026 selection and editorial matter, E. Chandra Blessie, Pethuru Raj, and B. Sundaravadivazhagan; individual chapters, the contributors. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-100365299-1; 978-104109801-0; 978-104110023-2; 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 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 Vineshkumar, Vineetha Anitha; Dazo, Kekhronguu Title A name given to the resource Trauma, Ontological Exile, and the Trans Self: Reading Transgender Autobiographical Narratives from the Global South 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 Dia-noesis;Volume;18;Issue;2;pp.419-438 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.12681/dia.43470" target="_blank" rel="noreferrer noopener">https://doi.org/10.12681/dia.43470</a> <a href="https://www.scopus.com/pages/publications/105027078333?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027078333?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 Vineshkumar V.A., Department of English and Cultural Studies, CHRIST University, Bengaluru, India; Dazo K., Department of English and Cultural Studies, CHRIST University, Bengaluru, India Description An account of the resource Scholarly understanding of exile usually foregrounds the forced displacement of human beings from one geographical location to another due to war, violence, or fear of persecution. However, exile is also a psychological state of being caused by external factors that need not necessarily be limited to the physicality of dislodgement from a sense of home. This paper explores exile as an ontological condition informed by experiences of trauma, selfhood, and marginalisation from the vantage point of transgender lived experiences from India. The philosophical engagement of these ideas is exemplified by the autobiographical work of a transgender woman, A. Revathi, titled The Truth About Me: A Hijra Life Story. The paper facilitates dialogues between narrativising trauma, psychological exile, and the trans self-using interdisciplinary frameworks of Paul Ilie, Maurice Merleau-Ponty, Edward W. Said, Judith Butler, Cathy Caruth, Sara Ahmed, and Shoshana Felman to examine the interconnection between thoughts on trauma, testimony, inner exile, lived experiences, queer phenomenology, and gender performativity. The study observes that the reclamation of transgender selfhood emerges through the act of self-narration. It also reimagines exile and trauma as philosophical processes of self-awareness and becoming. 2025, University of Western Macedonia. All rights reserved. Subject The topic of the resource autobiographical narratives; ontological exile; politics of unbelonging; transgender existential displacement; transgender trauma Publisher An entity responsible for making the resource available University of Western Macedonia Relation A related resource ISSN: 2459413X; 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