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                <text>Enhancing Early Detection of Cardiovascular Disease through Feature Optimization Methods</text>
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                <text>Cardiovascular detection (CVD); Heart disease; Machine Learning; Optimization</text>
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                <text>cardiovascular diseases are the most common reason for mortality around the world. Early detection of the ailment can help to reduce the mortality rate considerably. The ever-growing technologies like machine learning algorithms and deep learning models can be used for this purpose. The AI models thus developed can be used for health sector for assisting doctors in assessing the stage of the disease and detection and tracking of the clots in the cardio blood vessels. The proposed work uses two benchmark datasets for analysing the performance of various machine learning algorithms including KNN, Nae Bayes, Decision Tree and Random Forest. The performance was compares based on the AUC %. The method feature reduction were used here to reduce the computational complexity of the model. The results show that Random Forest Algorithm gave the best result when compared to other algorithms in case of UCI dataset and MLP classifier gave best results for Kaggle dataset.  2024 IEEE.</text>
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                <text>Didwania S.; Amrutha K.; Resmi K.R.; Vineetha K.R.</text>
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                <text>2024 IEEE 3rd World Conference on Applied Intelligence and Computing, AIC 2024, pp. 119-122.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 979-835038459-8</text>
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                <text>Didwania S., Christ University, Department of Computer Science, Bengaluru, India; Amrutha K., Christ University, Department of Computer Science, Bengaluru, India; Resmi K.R., Christ University, Department of Computer Science, Bengaluru, India; Vineetha K.R., Christ University, Department of Computer Science, Bengaluru, India</text>
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                <text>Appropriation and commercialization of mythology: A reading of amish tripathi???s Shiva Trilogy</text>
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                <text>Dileep Lakshmi</text>
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                <text>The Quantification of Human Facial Expression Using Trapezoidal Fuzzy Membership Function</text>
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                <text>Fuzzy rule; Membership function; Quantification of expression</text>
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                <text>Fuzzy Inference System is an interesting approach. Major benefit of the FIS is, it permits the natural narration in linguistic terms of tribulations that can be resolved rather than in requisites of associations between accurate arithmetical points. This helps, handling with the complicated systems in easy way, is the major motive why fuzzy system is broadly incorporated in practice. In the present research paper, an effective approach is proposed that quantifies the human facial expression using Mamdani implication based fuzzy logic system. The recent principle engages in retrieving arithmetical values from persons face and feed them to a fuzzy classifier. Fuzzification and Defuzzification process issues trapezoidal fuzzy membership function for input as well as output. The diverse characteristic of this method is its effortlessness and maximum correctness. Experimental outcome on Image dataset depicts excellent accomplishment of the proposed methodology. In this paper, a legitimate procedure proposed for quantification of human facial expression from the features of the face by means of Mamdani type fuzzy inference system, which is proficient to set up a convenient membership association involving the various dimensions of the happy expression. Values representing features of the face are fed to a Mamdani-type fuzzy classifier. This system recognizes three levels of same happy expression namely Normal, Bit Smiley and Loud Laugh. The total output expressions for this proposed scheme is three. Another discrete element of the proposed methodology is the membership method model of expression outcome which stands on various surveys and readings of psychology.  Springer Nature Singapore Pte Ltd. 2019.</text>
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                <text>Dileep M.R.; Danti A.</text>
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                <text>Communications in Computer and Information Science, Vol-1036, pp. 373-380.</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-13-9184-2_34" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-13-9184-2_34&lt;/a&gt;
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                <text>ISSN: 18650929; ISBN: 978-981139183-5</text>
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                <text>Dileep M.R., Department of Computer Science and Applications, St. Aloysius College (Autonomous), Mangaluru, Karnataka, India; Danti A., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, Karnataka, India</text>
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                <text>A Study and Analysis on Various Types of Agricultural Drones and its Applications</text>
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                <text>Drones are considered to be the greatest invention of mankind. Drones can be used in many areas widely. Drones can also be used in agriculture and it is called as unnamed aerial vehicles (UAV). In the traditional agriculture methods land vehicles are used to monitor various activities of the agriculture, this was consuming lot of human effort and time. Using drones in agriculture is more beneficial than using traditional methods for the activities. Usage of drones in agriculture provides a huge benefit in terms of economy and time due to their most astonishing features. In recent years many surveys have proved that drones can cover almost 10 to 15 times of the area which can be covered with traditional land based techniques. Drones can be controlled by computers according to their capacities, that is drones can be automated over some range of area, locating remote area, and even can be semi-automated. Drones can be efficiently used in agriculture for performing certain activities such as, studying weather conditions and variations, infection for the crops, land fertility and many more. Because of the efficiency of the drones they can be used in various activities of agriculture. In this paper, a detailed study has been made on various types of agricultural drones based on the feature, capacity, range as well as cost and the area of agriculture where they suit the most, and a statistical analysis about the usage of the drones in the field of agriculture.  2020 IEEE.</text>
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                <text>Dileep M.R.; Navaneeth A.V.; Ullagaddi S.; Danti A.</text>
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                <text>Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, pp. 181-185.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICRCICN50933.2020.9296195" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICRCICN50933.2020.9296195&lt;/a&gt;
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                <text>India, one of the most populous countries is growing phenomenally, though the challenges of unemployment is compounding. An unique method of overcoming this issue is through motivation of college students in becoming entrepreneurs, which will not only create employment but will also reduce the pressure of gaining employment on the students. However, flexible government policies in favor of entrepreneurs will facilitate the economic development of the country. In this study, a quantitative method is used to collect the data on entrepreneurship and the changing preferences of college students. A survey (N= 209) among college students of Bengaluru, India is conducted to identify the impact of entrepreneurship on work life choices of young graduates, evaluate the emergence of entrepreneurs in influencing decisions and analyzing the differing choices of males and females in terms of entrepreneurial selections. Analysis of the collected data indicates that Indian Government policy, unskilled labor, entrepreneurial education, family background and caste are factors affecting the entrepreneurial growth rate in Bangalore. Entrepreneurship education in Bangalore is still in the early stages, thus, depriving the college students from acquiring gainful practical knowledge. The structure of a conventional learning system and lack of social experiences also affects the learning process.  2019, International Journal of Scientific and Technology Research. All rights reserved.</text>
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                <text>In search of a viable alternative to petrol and diesel, methanol, ethanol and biodiesel play an important role. Methanol and ethanol are traditional alternatives to petrol(gasoline) because of better engine performance and reduced emission of carbon monoxide, oxides of nitrogen (NOx), unburnt hydrocarbon (UBHC) and other harmful gases. This work represents the result of four sets of spark timings on engine performance and engine emissions when run on methanol and petrol. Exhaustive investigations are carried out on a variable compression ratio DTSi engine for both methanol and gasoline. Engine was run at full throttle and at a constant speed of 1600RPM. Theefficiency of the engine found to be enhanced with methanol fuel which has higher octane number and high laminar flame speed. Maximum efficiency was found to be ~25.45% and ~28.7% at compression ratio 10 for gasoline and methanol fuel, respectively. This is observed at 2624 BTDC (before top dead center) spark advance combination. Optimum compression ratio for gasoline and methanol is found to be 6.8 and 7.4, respectively, at this spark advance angle combination. Moreover, methanol fuel eventually emits lesser amount of CO, UBHC and NOx than gasoline under all experimental combinations.  2021, Springer Nature Singapore Pte Ltd.</text>
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                <text>Divya N.S., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, Vaddeswaram, 520002, India; Bobba V., Department of Computer Science and Engineering, TKR College of Engineering and Technology, Telangana, Hyderabad, 500097, India; Vatambeti R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560072, India</text>
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                <text>The Indian Journal of Labour Economics, Vol.61, Issue 4, pp.681-699, ISSN No: 0971-7927.</text>
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                <text>&lt;a href="https://link.springer.com/article/10.1007/s41027-019-00155-y" title="Job search methods in the software industry in Bangalore: Does social capital matter?" target="_blank" rel="noreferrer noopener"&gt;https://link.springer.com/article/10.1007/s41027-019-00155-y&lt;/a&gt;</text>
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                <text>Patriarchy and Wifehood: A Feminist Reading of One Part Woman and Singarevva and the Palace</text>
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                <text>Marriage is a socially approved relationship between a man and a woman that binds each other into a permanent, official relation of husband and wife. In a patriarchal culture, the husbands personify dominance and liberty, whereas the wives are expected to be the epitome of fidelity, fecundity and chastity. In the Indian context, the intense devotion of wives towards their husbands defines married women as pativratas. The present study intends to analyze the various aspects that contribute to and shape the formation of the identity of a wife in a marital space through Ponna and Singarevva, the female protagonists of the novels One Part Woman and Singarevva and the Palace, respectively. The paper demonstrates how these female protagonists identity as wives gets suppressed over a period of time and how they succeed in reconstructing their identities, sailing against all odds stacked against them. The paper views these issues through the feminist theoretical lens.  2024 IUP. All Rights Reserved.</text>
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                <text>Divya R.; Sharmila N.</text>
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                <text>IUP Journal of English Studies, Vol-19, No. 1, pp. 51-66.</text>
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                <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191774443&amp;amp;partnerID=40&amp;amp;md5=3930c09dbde929fa35951e3f35e8621d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191774443&amp;amp;partnerID=40&amp;amp;md5=3930c09dbde929fa35951e3f35e8621d&lt;/a&gt;</text>
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                <text>ISSN: 9733728</text>
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                <text>Divya R., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Sharmila N., CHRIST (Deemed to be University), Karnataka, Bengaluru, India</text>
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                <text>Influence of hydrothermal synthesis conditions on lattice defects in cerium oxide</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="117567">
                <text>Ceria synthesis; Hydrothermal conditions; Oxidation activity; Redox character</text>
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                <text>Cerium oxide makes one of the most promising materials for chemical transformations in environmental and energy applications. Herein, the influence of hydrothermal conditions on the physico-chemical characteristics of cerium oxide prepared from salt solution via ammonia precipitation is analyzed. The systems are well characterized using SEM, TEM, XRD analysis, photoluminescence spectra, Raman spectra, TPR study. and XPS analysis. Normal aqueous conditions lead to particles of size ~8 ?nm, with truncated octahedral geometry, closer to spheroid shape (RT-Ce) bound by {111} and {100} planes. Elevated temperature facilitated preferential exposed {100} plane bounded cubic ceria structures of size ~15 ?nm (HT-Ce), which are stabilized by more number of anion vacancies. Low temperature synthesis yielded smaller sized particles with less crystallinity and higher surface area, when compared to hydrothermal route. Lattice defects, represented in terms of Ce3+ ions and associated lattice oxygen vacancies are seen in higher amounts in ceria synthesised via hydrothermal path, as supported by various characterization results. CeO2 achieved via hydrothermal path exhibited higher catalytic oxidation activity, which is examined using a model oxidation reaction, vis., CO oxidation. The enhanced activity of HT-Ce is explained through the defect structure induced facile redox shift in the system.  2021 Elsevier Inc.</text>
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                <text>Divya T.; Anjali C.; Sunajadevi K.R.; Anas K.; Renuka N.K.</text>
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                <text>Journal of Solid State Chemistry, Vol-300</text>
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                <text>Academic Press Inc.</text>
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                <text>2021-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.jssc.2021.122253" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.jssc.2021.122253&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105557078&amp;amp;doi=10.1016%2Fj.jssc.2021.122253&amp;amp;partnerID=40&amp;amp;md5=b4d4ee8449da9d00833ee11d5d912d2e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105557078&amp;amp;doi=10.1016%2fj.jssc.2021.122253&amp;amp;partnerID=40&amp;amp;md5=b4d4ee8449da9d00833ee11d5d912d2e&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="117574">
                <text>Restricted Access</text>
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                <text>ISSN: 224596; CODEN: JSSCB</text>
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              <elementText elementTextId="117577">
                <text>English</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Divya T., Department of Chemistry, University of Calicut, 673635, Kerala, India; Anjali C., Department of Chemistry, University of Calicut, 673635, Kerala, India; Sunajadevi K.R., Department of Chemistry, CHRIST (Deemed to Be University), 560029, Karnataka, India; Anas K., R&amp;amp;D Division, Sud-Chemie India Pvt. Limited, Binanipuram, 683502, Kerala, India; Renuka N.K., Department of Chemistry, University of Calicut, 673635, Kerala, India</text>
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