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                <text>Comparative study of product liability and data confidentiality in case of intermediaries with special reference to india and the european union /</text>
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                <text>Comparative study of recommender systems</text>
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                <text>Recommendation System is a quickly progressing study area. Many new approaches are offered so far. In this particular paper we have researched on various applications of recommender system and various techniques used in recommender system like collaborative filtering, content-based filtering and hybrid filtering. Collaborative filtering is amongst the common methods utilized in recommending process. So comparative study on various collaborative filtering is done and the results are plotted graphically.  2016 IEEE.</text>
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                <text>Thomas A.; Sujatha A.K.</text>
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                <text>Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016</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/ICCPCT.2016.7530304" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCPCT.2016.7530304&lt;/a&gt;
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                <text>ISBN: 978-150901277-0</text>
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                <text>Thomas A., Dept. of CSE, Faculty of Engineering, Christ University, Bengaluru, India; Sujatha A.K., Dept. of CSE, Faculty of Engineering, Christ University, Bengaluru, India</text>
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                <text>Comparative study of sinusoidal and non-sinusoidal two-frequency internal heat modulation in a Rayleigh-Bard system</text>
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                <text>internal heat source; internal rayleigh number; non-sinusoidal; sinusoidal; two-frequency</text>
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                <text>A linear stability analysis is assented to investigate the effect of two-frequency internal heat modulation at the onset of convection in a Newtonian liquid. The correction Rayleigh number and wave number for small amplitudes is calculated using the Venezian approach. Under two-frequency internal heat modulation, the motion is found to be subcritical. To quantify heat transfer in the system, the three-mode Lorenz model is solved numerically. Various combinations of sinusoidal and non-sinusoidal waveforms influence the onset of convection and heat transfer in the system due to two-frequency internal heat modulation. The parameters' influence on heat transfer is seen to be dependent on the presence of a heat source or sink.  2021 Wiley Periodicals LLC.</text>
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                <text>Mathew A.; Pranesh S.</text>
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                <text>Heat Transfer, Vol-51, No. 3, pp. 2780-2807.</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>John Wiley and Sons Inc</text>
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                <text>&lt;a href="https://doi.org/10.1002/htj.22425" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/htj.22425&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121438748&amp;amp;doi=10.1002%2Fhtj.22425&amp;amp;partnerID=40&amp;amp;md5=9730fe4f3c8ed6405306b121b60870b8" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121438748&amp;amp;doi=10.1002%2fhtj.22425&amp;amp;partnerID=40&amp;amp;md5=9730fe4f3c8ed6405306b121b60870b8&lt;/a&gt;</text>
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                <text>Restricted Access</text>
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                <text>ISSN: 26884534</text>
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                <text>Mathew A., Research Scholar, Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Hosur Main Road, Bengaluru, 560029, India; Pranesh S., Research Scholar, Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Hosur Main Road, Bengaluru, 560029, India</text>
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      <name>Article</name>
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          <element elementId="50">
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                <text>Comparative study of soil properties and vegetation at various open dump and non-dumpsites in the Bengaluru city of Karnataka, India</text>
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          <element elementId="49">
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              <elementText elementTextId="131262">
                <text>ANOVA; dominant species; physicochemical characteristics; species diversity</text>
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                <text>A comparative field studies on seven municipal dumpsites namely Agara 1 (12.917N, 77.639E), Agara 2 (12.922N, 77.639E), HSR depot (12.919N, 77.644E), Koraman-gala Church (12.934N, 77.626E), Koramanagla BDA (12.931N, 77.625E), Garvebhayipalya (12.897N, 77.638E) and Sanjay Gandhi hospital (12.891N, 77.601 E), and its adjoining non-dump sites were conducted to understand their soil characteristic features and the vegetation pattern. Soil characteristics were presented in terms of the physicochemical parameters and the vegetation patterns were presented in terms of the dominance using the ecological parameter Important Value Index (IVI). Soils at the dump sites showed higher mean electrical conductivity and pH values as compared to the non-dump sites. Though the mineral content showed higher mean value in the dump sites (except chloride), there is no significant variation in the higher total soluble solutes between dump and non-dump sites(P&amp;gt;0.05) As per ANNOVA there was highly significant variation in the heavy metal content between dump and non dumpsites (P&amp;lt;0.01).. With respect to vegetation analysis though 50 different species found across locations only 10 species viz Alternatheria sessile, Amaranthus spinose, Caesalpinia pulcherima, Ipomea acumilanata, Ipomea evolvulus, Parthenium hysterophorous Pisum sativum, Ricinis communis, Sida rombifolia and Solanum lycopersicum were found consistent across all locations irrespective of the seasons. Among these, A. sessile, R. communis and A. spinosa were found dominant based on the IVI values across seven locations which further can be studied for their potential for phyto remediating the land pollutants such as heavy metals.  2019, Applied and Natural Science Foundation. All rights reserved.</text>
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                <text>Joseph J.; Reddy J.; Sayantan D.</text>
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                <text>Journal of Applied and Natural Science, Vol-11, No. 1, pp. 76-87.</text>
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                <text>Applied and Natural Science Foundation</text>
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            <name>Date</name>
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                <text>2019-01-01</text>
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                <text>&lt;a href="https://doi.org/10.31018/jans.v11i1.1968" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.31018/jans.v11i1.1968&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132200942&amp;amp;doi=10.31018%2Fjans.v11i1.1968&amp;amp;partnerID=40&amp;amp;md5=baf3b4317a96feeddf62a3842fb57e3f" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132200942&amp;amp;doi=10.31018%2fjans.v11i1.1968&amp;amp;partnerID=40&amp;amp;md5=baf3b4317a96feeddf62a3842fb57e3f&lt;/a&gt;</text>
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              <elementText elementTextId="131269">
                <text>All Open Access; Bronze Open Access</text>
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                <text>ISSN: 9749411</text>
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                <text>English</text>
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                <text>Joseph J., Department of Botany, Bharathiar University, Tamil Nadu, Coimbatore, 641046, India; Reddy J., Department of Botany, St. Josephs Post Graduate Centre, Karnataka, Bengaluru, 560027, India; Sayantan D., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India</text>
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                <text>Mapana Journal Of Science, Vol.16, Issue 4, pp.23-35, ISSN: 0975-3303.</text>
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                <text>D, Sayantan., Shardendu.</text>
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                <text>Soliev, Erkin; Dhakshayini, K.N.; Abas, Hayder Muhamed; Yomas, Jerrin; Ananthalakshmi, G.; Anvarovna, Abdullayeva Shakhnoza</text>
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                <text>Soliev E., Jizzakh State Pedagogical University, Jizzakh, Uzbekistan; Dhakshayini K.N., School of Business &amp;amp; Management, Christ (Deemed to be University), Yeshwanthpur Branch, Bangalore, India; Abas H.M., Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq, Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq; Yomas J., Department of Electronics and communication engineering, Vimal Jyothi Engineering College, Chemperi, Kearla, Kannur, India; Ananthalakshmi G., Department of Cyber Security, New Prince Shri Bhavani College of Engineering and Technology, Tamil Nadu, Chennai, India; Anvarovna A.S., Faculty of Humanities &amp;amp; Pedagogy, Turan International University, Namangan, Uzbekistan</text>
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                <text>Whereas Wi-Fi 6 and 5G briefly competed in the home internet space, 5G has since outpaced Wi-Fi 6 in speed and reliability. Wi-Fi 6 and 5G have detailed white papers outlining their protocols and specs. Initial home use and advanced Wi-Fi use should prioritize downloading, as Wi-Fi 6 offers a significant edge in download speed, latency, and efficiency in multi-device environments (most homes have a home intelligence system, phones, and PCs). 5G has no physical PC connection and must be provisioned by a carrier and covered by a cell tower. Hence, its advantages are for rural users and for users who typically work from home. Each has specific target markets, with the home as the primary focus, including streaming media and gaming, multiple smart home devices, and a home office. Install speed and cost, system-wide latency (total system, including devices), data retention and privacy, device lock (data retention), and scaling (to be sound). 5G uses cell towers with a large and covered geographic area and no physical restrictions. Each has target markets where advanced Wi-Fi has outpaced rural users and mobile users. This is where Wi-Fi has outpaced 5G (5G is a better solution for streaming, data retention, and scaling). Findings indicate that Wi-Fi 6 is excellent in environments with high-speed broadband. At the same time, 5G demonstrates its advantages in areas with low-quality broadband or when users require mobile Internet access. Because both technologies offer unique benefits, combining them may yield the best home connectivity. The document enables buyers, Internet Service Providers (ISPs), and community decision-makers to choose cutting-edge internet connectivity options.  2025, Innovative Information Science and Technology Research Group. All rights reserved.</text>
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                <text>5G; Comparison; Internet; Performance; Residential; Services; Wi-Fi 6</text>
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                <text>Comparative Study on GANs and VAEs in Credit Card Fraud Detection</text>
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                <text>anomaly detection; credit card fraud; fraud detection; generative adversarial networks (GANs); synthetic data generation; variational autoencoders (VAEs)</text>
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                <text>In today's world, the major issue credit card sectors encounter is fraud. This comparative study deals with how GANs and VAEs detect fraudulent transactions. The dataset comprised 284807 transactions, of which 492 were fraudulent. These two models, GANs and VAEs, are trained on this dataset, during which, in the training process, the models are learned to deal with the imbalance in the dataset. VAEs are trained so that fraud transactions are considered anomalies, and only legitimate transactions are passed onto the model for training. Conversely, GANs generate synthetic data of fraud by addressing the problem of data imbalance and passed on to the ML model for classification. We can observe that Both the models have very good AUC-ROC scores of around 96%, which indicates their distinguishing capability between the classes. In all other aspects, GANs outperformed VAEs, which makes GANs a better option for fraud detection.  2024 IEEE.</text>
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                <text>Sukruth S.; Haripriya M.; Deepa S.; Jayapriya J.; Vinay M.</text>
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                <text>2024 1st International Conference on Software, Systems and Information Technology, SSITCON 2024</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 979-835035293-1</text>
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                <text>Sukruth S., Christ University, Department of Computer Science, Bangalore, India; Haripriya M., Christ University, Department of Computer Science, Bangalore, India; Deepa S., Christ University, Department of Computer Science, Bangalore, India; Jayapriya J., Christ University, Department of Computer Science, Bangalore, India; Vinay M., Christ University, Department of Computer Science, Bangalore, India</text>
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                <text>Comparative Study on Gasoline and Methanol in a Twin Spark IC Engine</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="184392">
                <text>DTSi engine; Methanol fuel; Spark advance angle; Variable compression ratio</text>
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          <element elementId="41">
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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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              <elementText elementTextId="184394">
                <text>Divakar Shetty A.S.; Sahu D.; Arthur Davis J.; Kumar R.</text>
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                <text>Lecture Notes in Mechanical Engineering, pp. 191-201.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>Divakar Shetty A.S., Engineering Department, Ibri College of Technology, Ibri, Oman; Sahu D., School of Mechanical Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, 751024, India; Arthur Davis J., Engineering Department, Ibri College of Technology, Ibri, Oman; Kumar R., Department of Mechanical Engineering, Christ University, Bengaluru, 560029, India</text>
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                <text>Comparative Study on the Experimental Results on Low-Velocity Impact Characteristics of GLARE Laminates with Simulation Results from LS Dyna</text>
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                <text>Absorbed energy; ANSYS; Delamination; GLARE; Low-velocity impact; LS-DYNA</text>
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                <text>Fiber reinforcement with metallic face sheets is one of the recently implemented materials for distinctive applications in automotive and aerospace sectors. While the reinforcement enhances the sustenance property of the laminate, the face sheets provide resistance to impact force. In most automotive sectors, drop weight analysis at varying velocity ranges is performed to evaluate the damage characteristics of the vehicle body. The present work is aimed at studying the influence of low-velocity impact (LVI) on Glass Laminate Aluminum-Reinforced Epoxy (GLARE) laminate. Three distinct thicknesses of Al-2024 T3 aluminum alloy (0.2, 0.3 and 0.4mm) were chosen as the face sheet and E-glass fiber was used as intermediate layers. Epoxy resin LY556 with a HY951 hardener was used to fabricate the GLARE structure and the overall thickness was maintained at 2.0mm for all the cases. Energy absorbed by GLARE laminates for different energy was determined using Drop weight Impact test experimentally and analytically. The laminate and the dart were modeled by ANSYS ACP tool and the simulation was performed using LS Dyna software. It was evident that laminate can sustain impact at a velocity of 3.13m/s and beyond which leads to surface delamination. The simulation results were in close agreement with the experimental values for the absorbed energy, with less than 10% error.  2022, The Institution of Engineers (India).</text>
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                <text>Muniswamy H.K.; Nagarathnam R.M.</text>
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                <text>Journal of The Institution of Engineers (India): Series D, Vol-103, No. 2, pp. 431-442.</text>
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                <text>&lt;a href="https://doi.org/10.1007/s40033-022-00355-9" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s40033-022-00355-9&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129482499&amp;amp;doi=10.1007%2Fs40033-022-00355-9&amp;amp;partnerID=40&amp;amp;md5=68a92f85375662c007f2e532c51d54ec" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129482499&amp;amp;doi=10.1007%2fs40033-022-00355-9&amp;amp;partnerID=40&amp;amp;md5=68a92f85375662c007f2e532c51d54ec&lt;/a&gt;</text>
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                <text>ISSN: 22502122</text>
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                <text>Muniswamy H.K., Department of Mechanical and Automobile Engineering, School of Engineering and Technology (SE&amp;amp;T), CHRIST (Deemed to be University), Bangalore, 560074, India; Nagarathnam R.M., Department of Mechanical Engineering, PES University, Bangalore, India</text>
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                <text>Comparing Developmental Approaches for Game-Based Learning in Cyber-Security Campaigns</text>
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                <text>cyber-security; Game based learning; game design approaches; learning pedagogy; student engagement; visual novel</text>
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                <text>Digital game-based learning (DGBL) has been viewed as an effective teaching strategy that encourages students to pick up and learn a subject. This paper explores its viability to help increase the reach and efficiency of the existing cybersecurity awareness spreading campaigns that find adolescent students as their demographic. This work intends to reinforce the benefits of multimedia learning in schools and universities with the use of video games and further find the ideal type and genre of game that can be developed to spread awareness about cybersecurity to students in grades 8th to 12th (tailored towards the Indian context). Game genres were compared on the basis of having a simple gameplay loop, being easy for instructors to train themselves in, being inclusive to special needs children, being able to be published as an independent title, and having very low hardware specification requirements. Ideally, the paper proposes that this game would be a single-player experience that would follow a game-based learning approach to maximize the game's reach. Once identified, the model of the game was assessed using already existing implementations. Finally, the ideal model, a single-player visual novel is proposed. A future iteration of the paper will implement the proposed model of game design and perform an analysis of the effects the video game had on the learning experience of the students surveyed.   2023 IEEE.</text>
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                <text>Sreehari S.; Gokulapriya R.</text>
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                <text>Proceedings of IEEE InC4 2023 - 2023 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>&lt;a href="https://doi.org/10.1109/InC457730.2023.10263260" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/InC457730.2023.10263260&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174723035&amp;amp;doi=10.1109%2FInC457730.2023.10263260&amp;amp;partnerID=40&amp;amp;md5=cddd7bfc198b6a2450aa51ec20047db2" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174723035&amp;amp;doi=10.1109%2fInC457730.2023.10263260&amp;amp;partnerID=40&amp;amp;md5=cddd7bfc198b6a2450aa51ec20047db2&lt;/a&gt;</text>
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                <text>ISBN: 979-835033577-4</text>
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                <text>Sreehari S., CHRIST (Deemed to Be University), Dept. of Computer Science and Engineering, Bangalore, India; Gokulapriya R., CHRIST (Deemed to Be University), Dept. of Computer Science and Engineering, Bangalore, India</text>
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                <text>Comparing Influence of Depression and Negative Affect on Decision Making</text>
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            <description>The topic of the resource</description>
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                <text>Balloon Analog Risk Task; Depression; Iowa Gambling Task; Mood induction; Value-based decision making</text>
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                <text>The current study aimed to explore differential value-based decision-making patterns across three groupsindividuals diagnosed with mild-to-moderate depression, a healthy matched control group, and a negative mood induction group. In the current study, drug- and therapy-nae individuals diagnosed with first episode of mild-to-moderate depression (n = 40), healthy individuals matched on age, gender, and education (n = 40), and healthy individuals with no current, past, or family history of any psychiatric conditions in a negative mood-induced state (n = 40) were administered the IOWA Gambling Task (IGT) and the Balloon Analog Risk Task (BART). Results indicated that individuals with depression showed heightened punishment sensitivity on both the IGT and the BART (p &amp;lt; 0.05 on the BART and p &amp;lt; 0.05 on the IGT), andperformed poorly on the IGT indicating poor and slow learning (p &amp;lt; 0.01). A similar, less severe, pattern was observed in the negative mood induction group. Individuals with mild-to-moderate depression performed poorly on tasks of value-based decision making. The significance of process factors in decision making, such as reward and punishment sensitivity, valuation of outcomes and learning, was highlighted in this study. The study also demonstrated how a negative affective state, without the other clusters of depressive symptomatology, can also lead to a less severe, but impaired decision making.  2023, The Author(s) under exclusive licence to National Academy of Psychology (NAOP) India.</text>
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                <text>Moosath H.; Rangaswamy M.</text>
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                <text>Most of the information is captured through multimedia techniques. Videos contain many frames which might be redundant. Since processing of many frames is involved, these redundant frames must be removed for better and efficient results. Summarizing these frames by removing similar frames can speed up processing. In this paper video summarization is achieved by generating key frames. Key frames are generated using discrete wavelet transforms (DWT) technique and we subtract background from the keyframes to get region of interest. A video of 920&amp;amp;Times;720 resolution and length 120 second was used as test video and the run-time was 111 second in CPU and 60 second in GPU. The speed up is nearly 100%. A HD video which took 23 minutes in serial implementation to extract foreground object from key frames generated was reduced to 7 minutes using GPU acceleration.  2015 IEEE.</text>
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                <text>Sharma C., Dept of CSE, Christ University, Bangalore, India</text>
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                <text>Decision trees; Ensemble learning; Prescision; Support vector machines; XGBoost</text>
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                <text>Football has been one of the most popular and loved sports since its birth on November 6th, 1869. The main reason for this is because it is highly unpredictable in nature. Predicting football matches results seems like the perfect problem for machine learning models. But there are various caveats such as picking the right features from an enormous number of available features. There have been many models which have been applied to various football-related datasets. This paper aims to compare Support Vector Machines a machine learning model and XGBoost an Ensemble learning model and how Ensemble Learning can greatly improve the accuracy of the predictions. Copyright  2019 Institute of Advanced Engineering and Science. All rights reserved.</text>
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                <text>International Journal of Electrical and Computer Engineering, Vol-9, No. 5, pp. 4321-4325.</text>
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                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>ISSN: 20888708</text>
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                <text>Khan S., Department of Computer Science, CHRIST (Deemed to Be University), Hosur Main Road, Bengaluru, Karnataka, 560029, India; Kirubanand V.B., Department of Computer Science, CHRIST (Deemed to Be University), Hosur Main Road, Bengaluru, Karnataka, 560029, India</text>
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                <text>Merchant ships at sea have been under threat for centuries from criminal activities such as maritime piracy and armed robbery. Such acts have seen a rise in recent years, with new breeding grounds mushrooming across the globe. In Africa, such criminal activities are as old as maritime trade, with three severely affected regions, each with its own dynamics. While piracy on the eastern coast (Gulf of Aden) has been brought under control by international maritime forces and that on the south-eastern coast (Mozambique Channel) by local maritime forces, piracy on the western side (Gulf of Guinea) continues unabated and has become a matter of concern for the world's maritime fraternity. In an effort to find a solution for piracy in the Gulf of Guinea, this article aims to compare and analyse incidents of piracy along the coasts of Africa and understand whether the countermeasures adopted on the eastern coasts can be replicated on the western one.  2020 National Maritime Foundation.</text>
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                <text>Maritime Affairs, Vol-16, No. 2, pp. 13-29.</text>
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                <text>Barla C., Department of International Studies and History, Christ University, Bengaluru, India; Agarwala N., Visiting Faculty, Naval War College, Verem, Goa, India</text>
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                <text>Comparing Strategies for Post-Hoc Explanations in Machine Learning Models</text>
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                <text>Most of the machine learning models act as black boxes, and hence, the need for interpreting them is rising. There are multiple approaches to understand the outcomes of a model. But in order to be able to trust the interpretations, there is a need to have a closer look at these approaches. This project compared three such frameworksELI5, LIME and SHAP. ELI5 and LIME follow the same approach toward interpreting the outcomes of machine learning algorithms by building an explainable model in the vicinity of the datapoint that needs to be explained, whereas SHAP works with Shapley values, a game theory approach toward assigning feature attribution. LIME outputs an R-squared value along with its feature attribution reports which help in quantifying the trust one must have in those interpretations. The R-squared value for surrogate models within different machine learning models varies. SHAP trades-off accuracy with time (theoretically). Assigning SHAP values to features is a time and computationally consuming task, and hence, it might require sampling beforehand. SHAP triumphs over LIME with respect to optimization of different kinds of machine learning models as it has explainers for different types of machine learning models, and LIME has one generic explainer for all model types.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Lecture Notes on Data Engineering and Communications Technologies, Vol-68, pp. 585-592.</text>
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                <text>ISSN: 23674512</text>
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                <text>Vij A., Christ (Deemed To Be University), Lavasa, India; Nanjundan P., Christ (Deemed To Be University), Lavasa, India</text>
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                <text>Comparing the Accuracy of CNN Model with Inception V3 for Music Instrument Recognition</text>
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                <text>Deep Learning; Machine Learning; Mel Frequency Cepstral Coefficients; Music Instrument recognition</text>
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                <text>Identification of music instruments from an audio signal is a complex but useful task in music information retrieval. Deep Learning and traditional machine learning models are extremely very useful in many music related tasks such as music genre classification, recognizing music similarity, identifying the singer etc. Music Instrument recognition and classification would be helpful in categorizing different categories of music. Many researchers have proposed models for classifying western music instruments. But very little research has been done in identifying instruments accompanied with South Indian music. This research aims at identifying string instrument such as violin and woodwind instrument such as flute accompanied in a Carnatic music concert and also in other categories of music. In order to identify the instruments accompanied, Convolutional Neural Network model and Inception V3 models were used. The Mel Frequency Cepstral Coefficients images were extracted from the audio input and fed in to the neural network model. The model has been trained for the above mentioned instruments, tested and validated on different types of audio input. This research also evaluates the performance of Inception V3 transfer learning model with CNN model in recognizing the instruments used in different categories of music.  2024, Ismail Saritas. All rights reserved.</text>
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                <text>Renju K.; Ashok Immanuel V.</text>
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                <text>International Journal of Intelligent Systems and Applications in Engineering, Vol-12, No. 17s, pp. 276-282.</text>
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                <text>Ismail Saritas</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185928892&amp;amp;partnerID=40&amp;amp;md5=506577b09e00be6250351881b365a689" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185928892&amp;amp;partnerID=40&amp;amp;md5=506577b09e00be6250351881b365a689&lt;/a&gt;</text>
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                <text>ISSN: 21476799</text>
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                <text>Renju K., Department of Computer Science, Research Scholar, CHRIST(Deemed to be University), Karnataka, India; Ashok Immanuel V., Department of Computer Science, Research Scholar, CHRIST(Deemed to be University), Karnataka, India</text>
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                <text>Comparing the roles of cryptography and blockchain technology in relation to Internet of Things</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="84673">
                <text>Block chain; Cryptography; Integrity; IoT; Privacy; Security</text>
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                <text>Cryptography and blockchain technology are super important for keeping all our smart devices safe in the Internet of Things (IoT) which can be considered as social security. As more and more of our gadgets connect to the internet, we really need to make sure theyre secure. This article talks about how we can use blockchain technology with IoT devices. Introduction and literature survey provides the challenges of having cryptography and blockchain technology in relation to Internet of Things, the proposed methodology provides the limited internet speed, and how blockchain affects how fast our devices can work and compare the cryptography attributes and blockchain technologies with the IoT world. To maintain the data safe and securely and provide the integrity and provide the high throughput, the Weight Allocation Authority (WAA) gives priority to users based on their characteristics. The Secure Hash Algorithm-512 helps make bigger data smaller. This work deals with the Hybrid Weighted Algorithm (HWA) and how IoT devices can improve the faster data transmission securely. WAA and HWA algorithms canalso create a safe and decentralized system that can quickly stop any bad transactions.  2024, Taru Publications. All rights reserved.</text>
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                <text>Mallikarjuna B.; Noonia A.; Berar G.; Rani L.; Tripathi K.N.; Sebastian S.</text>
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                <text>Journal of Discrete Mathematical Sciences and Cryptography, Vol-27, No. 7, pp. 2015-2025.</text>
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                <text>&lt;a href="https://doi.org/10.47974/JDMSC-2076" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.47974/JDMSC-2076&lt;/a&gt;
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                <text>ISSN: 9720529</text>
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                <text>Mallikarjuna B., Department of Information Technology, Institute of Aeronautical Engineering, Telangana, Dundigal Hyderabad, 500043, India; Noonia A., Department of Computer Science and Engineering, Manipal University Jaipur, Rajasthan, Jaipur, 303007, India; Berar G., Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, 140401, India; Rani L., Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, 140401, India; Tripathi K.N., Department of Computer Engineering, ISBM College of Engineering, Maharashtra, Pune, 411042, India; Sebastian S., School of Business and Management, CHRIST University, Delhi NCR Campus Uttar Pradesh, 201003, India</text>
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                <text>Comparison between Symmetrical and Asymmetrical 13 Level MLI with Minimal Switches</text>
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                <text>Asymmetrical Inverter; Cascaded H-bridge; Multilevel Converter; Symmetrical Inverter</text>
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                <text>Voltage source converters that are dependable and of the highest quality are offered by Multilevel Inverter to convert DC power systems to the AC power grid. One of the intriguing technologies in the field of power electronics are multilevel inverters (MLIs) in various configurations. It is also possible to integrate a few DC sources in MLIs to create a singular output, reducing the number of isolated inverters, the overall component count, and losses. MLIs are the top converters in many applications because to their capacity for medium and high-power applications. In order to produce the levels for the stair case wave shape, this research work introduces a new configuration module for asymmetrical multilevel in which capacitors are employed as DC linkages. With two unequal DC sources, the suggested Box -type modular structure will produce more voltage levels. It is useful for a variety of renewable applications since it has two back-to-back T-type inverters and minimal parts. This module contains this structured method to lessen the Total Harmonic Distortion (THD) rating and raise the quality of the sinusoidal output voltage.  2022 IEEE</text>
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                <text>Sindhuja R.; Padma S.; Parimalasundar E.; Suresh K.</text>
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                <text>International Conference on Automation, Computing and Renewable Systems, ICACRS 2022 - Proceedings, pp. 187-191.</text>
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                <text>Srinivasan S., Department of Humanities and Social Sciences, Graphic Era University, Dehradun, India; Joseph J., School of Law, CHRIST University, Bangalore, India</text>
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