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                <text>Optical Character Recognition (OCR) based Vehicle's License Plate Recognition System Using Python and OpenCV</text>
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                <text>Computer vision; Image processing; License plate; Optical Character Recognition (OCR); Python programming</text>
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                <text>License Platform Detection is a computer technology that enables us to identify digital images on the platform automatically. Different operations are covered in this system, such as imaging, number pad locations, alphanumeric character truncation and OCR. The final objective of the system is to construct and create efficient image processing procedures and techniques to position a licensing platter on the Open Computer View Library picture. It was used and implemented the K-NN algorithm and python programming language. The technology can be used in different industries such as security, highway speed detection, lighting violations, manuscript documents, automatic charging system, etc. Auto plate recognition is an integrated technology which identifies the auto licence plate. Auto plate auto recognition. Multiple applications include complex safety systems, public spaces, parking and urban traffic control. Automatic Vehicle License Plate Recognition (AVLPR) has undesirable aspects because of many effects, such as light and speed. This work presents an alternative technique to leverage free software for the implementation of AVLPR systems including Python and the Open Computer Vision (openCV).   2021 IEEE.</text>
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                <text>Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021, pp. 849-853.</text>
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                <text>Samantaray M., Udayanath (Auto) College of Sc. Tech., Dept. of ITM, Odisha, India; Biswal A.K., Siksha 'o' Anusandhan University, Dept.of CSE, Odisha, India; Singh D., Siksha 'o' Anusandhan University, Dept.of CSE, Odisha, India; Samanta D., Siksha 'o' Anusandhan University, Dept. of CA, Odisha, India; Karuppiah M., SRM Institute of Science and Technology, Department of CSE, Ghaziabad, India; Joseph N.P., CHRIST University, Department of Computer Science, Bangalore, India</text>
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                <text>Comparison of Machine Learning-Based Intrusion Detection Systems Using UNSW-NB15 Dataset</text>
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                <text>Cyber security; Intrusion detection; Machine learning; UNSW-NB15</text>
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                <text>Various machine learning classifiers have been employed recently to enhance network intrusion detection. In the literature, researchers have put forth a wide range of intrusion detection solutions. The accuracy of the machine learning classifiers intrusion detection is limited by the fact that they were trained on dated samples. Therefore, the most recent dataset must be used to train the machine learning classifiers. In this study, UNSW-NB15, machine learning classifiers are trained using the most recent dataset. A taxonomy of classifiers based on eager and lazy learners is used to train the chosen classifiers, such as K-Means (KNN), Polynomial Features, Random Forest (RF), and Naive Bayes (NB), Linear Regression. In order to decrease the redundant and unnecessary features in the UNSW-NB15 dataset, chi-Square, a filter-based feature selection technique, is used in this study. When comparing these machine learning classifiers, performance is measured in terms of accuracy, mean squared error (MSE), precision, recall, and F1-score with or without feature selection technique.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.</text>
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                <text>Sambandam R.K.; Daniel D.; Gokulapriya R.; Vetriveeran D.; Jenefa J.; Anuneshwar</text>
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                <text>Lecture Notes in Networks and Systems, Vol-844, pp. 311-324.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-99-8479-4_23" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-99-8479-4_23&lt;/a&gt;
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                <text>ISSN: 23673370; ISBN: 978-981998478-7</text>
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                <text>Sambandam R.K., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Daniel D., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Gokulapriya R., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Vetriveeran D., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Jenefa J., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Anuneshwar, Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India</text>
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                <text>Enhanced Level Brain Tumor Identification Using CNN, VGG16 and ResNet Models</text>
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                <text>Brain Tumor; CNN; Deep Learning; MRI Classification; RESNET; VGG16</text>
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                <text>The comprehension of brain growths is significantly improved through the identification and categorization of these disorders. Still, their discovery is relatively grueling due to their variability in terms of position, shape, and size. Fortunately, deep literacy has revolutionized the field and significantly improved recognition, prediction, and opinion in various healthcare areas, including brain excrescences. The main goal of this study is to thoroughly review exploration that utilizes CNN, VGG16, and RESNET infrastructures to classify brain excrescences using MRI images. The performance of these models varied significantly, with CNN, VGG16, and RESNET achieving an emotional delicacy of 99.6. Additionally, ResNet and VGG16 achieved rigor of 92.4 and 89.7 independently. Likewise, the visualization of the decision-making processes of these models has provided valuable insight into the features they prioritize. By incorporating these models into their practice, healthcare professionals have the opportunity to enhance their individual capabilities, eventually leading to improved patient outcomes.   2024 IEEE.</text>
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                <text>Sambandam R.K.; Jyoshna M.</text>
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                <text>Proceedings of InC4 2024 - 2024 IEEE International Conference on Contemporary Computing and Communications</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 979-835038365-2</text>
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                <text>Sambandam R.K., Christ University, Dept. of Computer Science and Engineering, Bengaluru, India; Jyoshna M., Christ University, Dept. of Computer Science and Engineering, Bengaluru, India</text>
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                <text>In recent years, video interviews have become increasingly popular in the recruitment process due to their convenience and efficiency. However, evaluating a candidates communication skills and perceived personality traits from a video interview can be challenging. The agent utilizes natural language processing and computer vision techniques to analyze the candidates verbal and nonverbal behavior during the interview. Specifically, the agent focuses on linguistic features such as fluency, grammar, and vocabulary, as well as nonverbal cues such as facial expressions and body language. Based on these features, the agent predicts the candidates communication skills and perceived personality traits. To validate the effectiveness of the agent, a Talk was conducted with a group of participants who completed video interviews with and without the agent. The results show that the agents predictions of communication skills and perceived personality traits are highly correlated with the ratings given by human evaluators. Additionally, the agent is able to provide valuable insights into the candidates performance that may not be immediately apparent to human evaluators. Overall, the intelligent video interview agent proposed here has the potential to improve the recruitment process by providing more accurate and objective evaluations of candidates communication skills and perceived personality traits.  2025 selection and editorial matter, A. Vadivel, K. Meena, P. Sumathy, Henry Selvaraj, P. Shanmugavadivu and Shaila S. G.; individual chapters, the contributors.</text>
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                <text>Sambandam R.K., CHRIST (Deemed to be University), Bengaluru, India; Vetriveeran D., CHRIST (Deemed to be University), Bengaluru, India; Jenefa J., CHRIST (Deemed to be University), Bengaluru, India; Balamurugan M., CHRIST (Deemed to be University), Bengaluru, India; Thaiyalnayaki S., Bharath Institute of Higher Education and Research (Deemed to be University), Chennai, India</text>
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                <text>Patent number: 202241013502, Applicant: Dr. Aruna S K.&#13;
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                <text>International Journal of Mechanical and Mechatronics Engineering, Vol.12, Issue 9, pp.863-869, ISSN No: 1307-6892.</text>
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                <text>Sameena Tarannum and S. Pranesh</text>
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                <text>Experimenting with ONOS scalability on software defined network</text>
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                <text>In traditional network, a developer cannot change the configuration of a router with software programs to control the behavior of the network switches due to closed vendor specific configuration scripts. In order to make the routers/switches programmable, a new architecture of network has to be developed and this gave rise to Software defined networks. It is the new architecture for Computer Networks in which, the old traditional architecture is slowly depreciated. It is very difficult to adapt new technology especially to decide upon which controller has to be considered and what may be its scalability to compete the dynamic circumstances of networks. Many researches are working on possible solutions and look upon SDN to overcome the traditional network limitations. There are many SDN controllers existing amongst them, some are OpenDaylight, Floodlight, Onos, Ryu, Beacon etc. From the existing multiple controllers serving the SDN services to the network, Onos is one of the Controller. ONOS can be deployed on Docker container and it is accessed using its IP as a host. In this paper, authors are contributing for the evaluation of the Performance to check the Scalability of ONOS controller by taking many scenarios which are experimented on the simulation tool of Mininet, Onos Controller, Docker and iPerf. ONOS Controller?s simulated environments are observed for its throughput evaluated in dynamic conditions of a network over Mesh topology by gradually increasing the number of hosts until its supported by the system with optimum resource utilization.  2018, Institute of Advanced Scientific Research, Inc.. All rights reserved.</text>
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                <text>Journal of Advanced Research in Dynamical and Control Systems, Vol-10, No. 14, pp. 1820-1830.</text>
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                <text>In today's energy generation scenario, the extensive use of conventional sources are causing lot of environmental issues. It is necessary that humankind should come up with a strategy to produce clean energy. Even though we cannot completely stop relying on non-renewable sources of energy, lot of research is happening to find the ideal substitute for conventional sources of energy and also for migrating towards renewable energy sources from conventional sources. Its gaining popularity because of the fact that availability of fossil fuels are reducing at an alarming rate. Thus, these research works will aid in producing clean energy and also make the existing systems more efficient. A better substitution would be to design a machine which would use less conventional sources of energy and gives required output. Thus it is necessary to come up with a new technology which would suffice the above stated requirements. The proposed project is an novel idea aimed at designing an alternator which has higher power output at lower RPM when compared to conventional alternators. This model finds application in automobiles, WECS, Aerospace, hybrid vehicles in the near future.  2016 IEEE.</text>
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                <text>Samjez S.V.A., Department of Electrical and Electronics Engineering, Faculty of Engineering, Christ University, Kanminike, Bengaluru, 560074, India; Venkataswamy R., Department of Electrical and Electronics Engineering, Faculty of Engineering, Christ University, Kanminike, Bengaluru, 560074, India</text>
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                <text>Thermal analysis of nanofluid flow containing gyrotactic microorganisms in bioconvection and second-order slip with convective condition</text>
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              <elementText elementTextId="129239">
                <text>Bioconvection; MHD; Microorganisms; Nanofluid; Nonlinear radiation; Second-order slip</text>
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                <text>Bioconvection in magneto-nanoliquid embedded with gyrotactic microorganisms across an elongated sheet with velocity slip of second order is addressed. Nonlinear thermal radiation and chemical reaction aspects are retained in energy and concentration equations. Numerical simulations for the modeled problem are proposed via RungeKuttaFehlberg-based shooting technique. Special attention is given to the impact of involved parameters on the profiles of motile microorganisms, nanoparticle volume fraction, temperature and velocity. Our simulations figured out that assisting flow generates more heat transfer than the opposing flow situation. The motile microorganisms boundary layer decayed for higher bioconvection Peclet and bioconvection Lewis numbers.  2018, Akadiai Kiad Budapest, Hungary.</text>
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                <text>Sampath Kumar P.B.; Gireesha B.J.; Mahanthesh B.; Chamkha A.J.</text>
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                <text>Journal of Thermal Analysis and Calorimetry, Vol-136, No. 5, pp. 1947-1957.</text>
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              <elementText elementTextId="129246">
                <text>Restricted Access</text>
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                <text>ISSN: 13886150; CODEN: JTACF</text>
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              <elementText elementTextId="129249">
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              <elementText elementTextId="129251">
                <text>Sampath Kumar P.B., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, 577451, Karnataka, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, 577451, Karnataka, India; Mahanthesh B., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, 577451, Karnataka, India, Department of Mathematics, Christ University, Bengaluru, 560029, Karnataka, India, Mechanical Engineering Department, Prince Sultan Endowment for Energy and Environment, Prince Mohammad Bin Fahd University, Al-Khobar, 31952, Saudi Arabia; Chamkha A.J., Mechanical Engineering Department, Prince Sultan Endowment for Energy and Environment, Prince Mohammad Bin Fahd University, Al-Khobar, 31952, Saudi Arabia, RAK Research and Innovation Center, American University, Ras Al Khaimah, United Arab Emirates</text>
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          <element elementId="50">
            <name>Title</name>
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            <elementTextContainer>
              <elementText elementTextId="135021">
                <text>Radiative nonlinear 3D flow of ferrofluid with Joule heating, convective condition and Coriolis force</text>
              </elementText>
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          </element>
          <element elementId="49">
            <name>Subject</name>
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              <elementText elementTextId="135022">
                <text>Convective condition; Ferrofluid; Joule heating; MHD; Nonlinear thermal radiation; Three-dimensional flow</text>
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                <text>Characteristics of heat transport mechanism in three-dimensional ferrofluid flow past a deformed surface subjected to the Coriolis and Lorentz forces are analyzed. The impacts of Joule heating, nonlinear thermal radiation, viscous dissipation and convective condition are also accounted. The carrier fluid (water) is embedded by Fe3O4 nanoparticles. The boundary layer approximations are employed in problem statement. Stretching transformations are utilized to form nonlinear ODE system from governed PDE system. The subsequent system is treated numerically via Runge-Kutta-Fehlberg method. Effects of relevant parameters on different flow fields are discussed comprehensively with help of graphs. It is established that the heat transfer rate is enhanced due to Coriolis and Lorentz forces. Furthermore, Fe3O4 nanoparticles enhance the Nusselt number significantly in comparison with Al2O3 nanoparticles.  2017</text>
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              <elementText elementTextId="135024">
                <text>Sampath Kumar P.B.; Gireesha B.J.; Mahanthesh B.; Gorla R.S.R.</text>
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              <elementText elementTextId="135025">
                <text>Thermal Science and Engineering Progress, Vol-3, pp. 88-94.</text>
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              <elementText elementTextId="135026">
                <text>Elsevier Ltd</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.tsep.2017.06.006" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.tsep.2017.06.006&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026860259&amp;amp;doi=10.1016%2Fj.tsep.2017.06.006&amp;amp;partnerID=40&amp;amp;md5=c3318d665c6ab17f75779557bf284038" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026860259&amp;amp;doi=10.1016%2fj.tsep.2017.06.006&amp;amp;partnerID=40&amp;amp;md5=c3318d665c6ab17f75779557bf284038&lt;/a&gt;</text>
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                <text>ISSN: 24519049</text>
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                <text>Sampath Kumar P.B., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta 577451, Shimoga, Karnataka, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta 577451, Shimoga, Karnataka, India; Mahanthesh B., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta 577451, Shimoga, Karnataka, India, Department of Mathematics, Christ University, Bengaluru, 560029, Karnataka, India; Gorla R.S.R., Department of Mechanical &amp;amp; Civil Engineering, Purdue University Northwest, Westville 1401 S U.S.42, United States</text>
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          <element elementId="50">
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                <text>Quadratic convective flow of radiated nano-Jeffrey liquid subject to multiple convective conditions and Cattaneo-Christov double diffusion</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="132695">
                <text>Brownian motion; convective condition; Jeffrey liquid; nanoliquid; nonlinear convection; O361; thermophoretic</text>
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                <text>A nonlinear flow of Jeffrey liquid with Cattaneo-Christov heat flux is investigated in the presence of nanoparticles. The features of thermophoretic and Brownian movement are retained. The effects of nonlinear radiation, magnetohydrodynamic (MHD), and convective conditions are accounted. The conversion of governing equations into ordinary differential equations is prepared via stretching transformations. The consequent equations are solved using the Runge-Kutta-Fehlberg (RKF) method. Impacts of physical constraints on the liquid velocity, the temperature, and the nanoparticle volume fraction are analyzed through graphical illustrations. It is established that the velocity of the liquid and its associated boundary layer width increase with the mixed convection parameter and the Deborah number.  2018, Shanghai University and Springer-Verlag GmbH Germany, part of Springer Nature.</text>
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                <text>Sampath Kumar P.B.; Mahanthesh B.; Gireesha B.J.; Shehzad S.A.</text>
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                <text>Applied Mathematics and Mechanics (English Edition), Vol-39, No. 9, pp. 1311-1326.</text>
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                <text>&lt;a href="https://doi.org/10.1007/s10483-018-2362-9" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s10483-018-2362-9&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049091042&amp;amp;doi=10.1007%2Fs10483-018-2362-9&amp;amp;partnerID=40&amp;amp;md5=b7258e19e905f968858d6f7212a485dc" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049091042&amp;amp;doi=10.1007%2fs10483-018-2362-9&amp;amp;partnerID=40&amp;amp;md5=b7258e19e905f968858d6f7212a485dc&lt;/a&gt;</text>
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              <elementText elementTextId="132702">
                <text>All Open Access; Bronze Open Access</text>
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                <text>ISSN: 2534827; CODEN: AMMEE</text>
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                <text>Sampath Kumar P.B., Department of Studies and Research in Mathematics, Kuvempu University, Shimoga, 577451, India; Mahanthesh B., Department of Mathematics, Christ University, Bangalore, 560029, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shimoga, 577451, India; Shehzad S.A., Department of Mathematics, COMSATS Institute of Information Technology, Sahiwal, 57000, Pakistan</text>
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                <text>Ferrofluid; Magnetohydrodynamics; Nonlinear thermal radiation; Shooting method; Stagnation point flow; Viscous dissipation</text>
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                <text>The characteristics of the magnetohydrodynamic (MHD) stagnation point flow of ferrofluids are investigated. The effects of nonlinear thermal radiation, heat generation and viscous dissipation are considered. Two different nanoparticles (Fe3O4 and MnZnFe2O4) are comprised in the base fluid (water). The ordinary differential equations are formed using suitable similarity transformations from the governing partial differential equations. The subsequent nonlinear ordinary differential equations are solved numerically using RKF-45 method. The influence of governing parameters on the results are analysed. It is found that the thermal boundary layer thickens due to the influence of nonlinear radiation and heat generation for both the fluids. The rate of heat transfer is higher for MnZn ferrite-nanofluid in comparison with magnetite nanofluid.  2017 by American Scientific Publishers All rights reserved.</text>
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                <text>Sampath Kumar P.B.; Mahanthesh B.; Phalaksha Murthy B.</text>
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                <text>Journal of Nanofluids, Vol-6, No. 6, pp. 1127-1133.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046484631&amp;amp;doi=10.1166%2Fjon.2017.1411&amp;amp;partnerID=40&amp;amp;md5=bc208d3f7b1a89973dc1a53f63f3d14a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046484631&amp;amp;doi=10.1166%2fjon.2017.1411&amp;amp;partnerID=40&amp;amp;md5=bc208d3f7b1a89973dc1a53f63f3d14a&lt;/a&gt;</text>
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                <text>Sampath Kumar P.B., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, 577451, Karnataka, India; Mahanthesh B., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, 577451, Karnataka, India, Department of Mathematics, Christ University, Bangalore, 560029, Karnataka, India; Phalaksha Murthy B., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, 577451, Karnataka, India, Department of Mathematics, Government Science College, Chitradurga, 577501, Karnataka, India</text>
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                <text>Hybrid botnet detection using ensemble approach</text>
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                <text>Botnet; C&amp;amp;C; Ensemble; Hybrid Botnets; P2P</text>
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                <text>Botnets are one of the most threatening cyber-attacks available today. This paper proposes a hybrid system which can effectively detect the presence of C&amp;amp;C, P2P and hybrid botnets in the network. The powerful machine learning algorithms like BayesNet, IBk, KStar, J48 and Random Tree have been deployed for detecting these malwares. The performance and accuracy of the individual classifiers are compared with the ensemble approach. Labelled dataset of botnet logs were collected from the Malware Facility. Secured data was collected from Christ university network and the combined dataset is tested using virtual test bed. The performance of the algorithms is studied in this paper. Ensemble approach out performed individual classifiers.  2005  ongoing JATIT &amp;amp; LLS.</text>
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          <element elementId="39">
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                <text>Samson F.; Vaidehi V.</text>
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              <elementText elementTextId="136182">
                <text>Journal of Theoretical and Applied Information Technology, Vol-95, No. 8, pp. 1646-1654.</text>
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                <text>Asian Research Publishing Network</text>
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              <elementText elementTextId="136184">
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018375363&amp;amp;partnerID=40&amp;amp;md5=b375e2d27c9c6acd58593e640cdb40c4" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018375363&amp;amp;partnerID=40&amp;amp;md5=b375e2d27c9c6acd58593e640cdb40c4&lt;/a&gt;</text>
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            <name>Rights</name>
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              <elementText elementTextId="136186">
                <text>Restricted Access</text>
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                <text>ISSN: 19928645</text>
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            <name>Format</name>
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                <text>Online</text>
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              <elementText elementTextId="136189">
                <text>English</text>
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                <text>Samson F., Department of Computer Science, Christ University, Bengaluru, India; Vaidehi V., Department of Computer Science, Christ University, Bengaluru, India</text>
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                <text>Differential Approach of Bioremediation by Sclerotium rolfsii Towards Textile Dye</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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                <text>Bioadsorption; Biodegradation; Malachite green; Rose Bengal; Sclerotium rolfsii</text>
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              <elementText elementTextId="92732">
                <text>Synthetic dyes are extensively used in various industries and are one of the major contaminants of industrial effluents. Dyes being xenobiotic, carcinogenic, and toxic there is need for their effective removal and detoxification to conserve water resources. Tremendous research has been carried out to identify potent microorganisms that facilitate bioremediation of these harmful dyes. A static batch culture has proved white rot fungi Sclerotium.rolfsii as an efficient catalyst in bioremediation of textile dyes and to compare their efficiency in decolourisation of two different azo dyes. Studies revealed the organism employ different remedial approach to cationic dye (Malachite green) and anionic dyes (Rose Bengal). Decolourisation of malachite green was a gradual with degradation and bio-transformation to colourless, non-toxic by products while Decolourisation of rose Bengal was quick process of biosorption. S.rolfsii exhibited 89% of decolourisation of malachite green dyes at higher concentration of 900mg/L while 96% for rose Bengal at 900mg/L. The mechanism of dye decolourisation was proposed using the UV Vis spectrophotometry, FTIR, XRD, HPLC and SEM. Microbial toxicity studies confirmed the dye metabolites of degraded malachite green was less toxic compared to original dye. Com- prehensively studies illustrate the sustained application of S. rolfsii as model organism for bioremediation of complex industrial effluents due to its differential bio remedial approach can potentially decolourise or remove various dyes. 2023, Association of Biotechnology and Pharmacy. All rights reserved.</text>
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              <elementText elementTextId="92733">
                <text>Samuel A.; Lakshmaiah V.V.; Dias P.; Praveen N.; Fernandes C.A.; Nizam A.; Krishna S.B.N.</text>
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                <text>Current Trends in Biotechnology and Pharmacy, Vol-17, No. 3s, pp. 1159-1169.</text>
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                <text>Association of Biotechnology and Pharmacy</text>
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                <text>&lt;a href="https://doi.org/10.5530/ctbp.2023.3s.53" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.5530/ctbp.2023.3s.53&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174171116&amp;amp;doi=10.5530%2Fctbp.2023.3s.53&amp;amp;partnerID=40&amp;amp;md5=1bb600dd56241249cf5983a208afa191" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174171116&amp;amp;doi=10.5530%2fctbp.2023.3s.53&amp;amp;partnerID=40&amp;amp;md5=1bb600dd56241249cf5983a208afa191&lt;/a&gt;</text>
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                <text>Samuel A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Lakshmaiah V.V., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Dias P., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Praveen N., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Fernandes C.A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Nizam A., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; Krishna S.B.N., Department of Biomedical and Clinical Technology, Durban University of Technology, Durban, 4000, South Africa</text>
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                <text>This research paper offers a textual analysis of the portrayal of animals in the Panchatantra tales, leveraging technology, Natural Language Processing (NLP) for enhanced insights. The study focuses on the interplay of anthropomorphism and stereotypes within these narratives, delving into the diverse stereotypes associated with specific animals in the stories. This analysis enhances our understanding of animal portrayal in children's literature. Natural Language Processing (NLP) techniques like textual classification and thematic analysis have been employed to examine the underlying archetypes embedded within the tales to comprehend stereotypes. Through a close examination of literary examples employing AntConc, a corpus analysis software, this paper provides readers with a nuanced understanding of how anthropomorphism and stereotypes influence human perceptions of animals and contribute to our understanding of the natural world.   2024 IEEE.</text>
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                <text>Let G = (V, E) be a graph with no isolated vertices. For two disjoint subsets A and B of V , if every vertex in B is adjacent to at least one vertex in A, then the set A is said to dominate set B. A partition ? = {V1, V2, . . ., Vk} of the vertex set V is a total upper domatic partition of G if Vi dominates Vj or Vj dominates Vi or both, for any Vi, Vj ? ? and G[Vi], 1 ? i ? k, has no isolated vertices. The total upper domatic number Dt(G) of G is the maximum order of a total upper domatic partition of G. In this paper, we initiate a study on the concept of total upper domatic number and determine the bounds of Dt(G) and exact values of the same for some classes of graphs.  World Scientific Publishing Company.</text>
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                <text>Samuel L.C., Department of Mathematics, Christ University, India; Joseph M., Department of Mathematics, Christ University, India</text>
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                <text>Transitivity of trees</text>
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                <text>domatic number; Domination; transitivity</text>
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                <text>For a graph G = (V,E), a partition ? = (V1,V2,..,Vk) of the vertex set V is a transitive partition if Vi dominates Vj whenever i &amp;lt; j. The transitivity Tr(G) of a graph G is the maximum order of a transitive partition of V. For any positive integer k, we characterize the smallest tree with transitivity k and obtain an algorithm to determine the transitivity of any tree of finite order.   2022 World Scientific Publishing Company.</text>
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                <text>Discrete Mathematics, Algorithms and Applications, Vol-14, No. 6</text>
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                <text>Samuel L.C., Department of Mathematics, Christ (Deemed to Be University), Karnataka, Bangalore, India; Joseph M., Department of Mathematics, Christ (Deemed to Be University), Karnataka, Bangalore, India</text>
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