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                <text>On Improving Quality of Experience of 4G Mobile Networks  A Slack Based Approach</text>
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                <text>This paper analyses Indias four top 4G Mobile network Providers with respect to five key user experience metrics  Video, Games, Voice app, Download speed and Upload speed. Results using Data Envelopment Analysis show Airtel and Vodafone-Idea performing with maximum relative efficiency with respect to these metrics, while BSNL and Jio closely follow them. Further analysis using the Slack Based Measure shows where and by how much BSNL and Jio need to improve to perform at par with Airtel and Vodafone-Idea. On certain variables, for instance Voice app, BSNL and Jio perform well, with no need for improvement. On the contrary, for Upload and Download speed experiences, both BSNL and Jio lag. For Video and Games, there is still scope for improvement, although both these players are reasonable in their performance. Thus, this analysis provides an accurate and optimal benchmark for each variable whose user experience has been evaluated.  2021, Springer Nature Switzerland AG.</text>
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                <text>Gracia S; Soundarabai P.B.; Raj P.</text>
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                <text>Communications in Computer and Information Science, Vol-1483, pp. 129-141.</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-3-030-91244-4_11" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-030-91244-4_11&lt;/a&gt;
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                <text>Gracia S, Christ University (Deemed), Karnataka, Bangalore, India; Soundarabai P.B., Christ University (Deemed), Karnataka, Bangalore, India; Raj P., Reliance Jio Platforms Ltd., Karnataka, Bangalore, India</text>
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                <text>5G Planning and QoE Management Using Mathematical Benchmarking Techniques for Europe and Middle Eastern Countries</text>
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                <text>5G; Data Envelopment Analysis; EMEA; Goal Setting; Quality of Experience</text>
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                <text>This paper analyses performance of Europe and Middle Eastern (EMEA) countries over 5G networks across eight key QoE metrics using robust and sophisticated mathematical techniques. The current position of the countries is realized along with feasible benchmarks/targets for metrics that need improvement. The benchmark countries and stretch goals are also presented.   2022 IEEE.</text>
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                <text>Gracia S.; Soundarabai P.B.; Raj P.</text>
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                <text>2022 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2022</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/CONECCT55679.2022.9865844" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/CONECCT55679.2022.9865844&lt;/a&gt;
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                <text>Gracia S., Christ University, Department of Computer Science, Bangalore, India; Soundarabai P.B., Christ University, Department of Computer Science, Bangalore, India; Raj P., Reliance Jio Platforms Ltd., Site Reliability Engineering Coe, Bangalore, India</text>
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                <text>Towards a Smarter Connected Society by Enhancing Internet Service Providers' QoS metrics using Data Envelopment Analysis</text>
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                <text>This paper analyses wireline broadband Quality of Service (QoS) metrics of India's small and medium Internet Service Providers (ISPs). Key Performance Indicators (KPIs) used in this analysis are - Fault repair (&amp;gt;90% in 1 working day and &amp;gt;=99% in 3 working days), Response time to customer for voice-to-voice operator assistance (in 60 sec. &amp;gt;60% and in 90 sec. &amp;gt;90%), Broadband connection speed from ISP to node (Download speed) and Service availability/uptime. Benchmarks are arrived at, using the Slack Based Measure (SBM) in Data Envelopment Analysis (DEA). Twenty Decision Making Units (DMUs - ISPs) were used in the analysis with eight of them needing to improve their QoS on some of the mentioned parameters. Relative benchmark providers for all providers needing improvement with their weightage are found and optimal targets by each QoS metric is mathematically arrived at.  The Electrochemical Society</text>
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                <text>Gracia S.; Soundarabai P.B.; Raj P.</text>
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                <text>ECS Transactions, Vol-107, No. 1, pp. 225-239.</text>
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                <text>Institute of Physics</text>
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                <text>&lt;a href="https://doi.org/10.1149/10701.0225ecst" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1149/10701.0225ecst&lt;/a&gt;
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                <text>ISSN: 19386737; ISBN: 978-160768539-5</text>
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                <text>Gracia S., Department of Computer Science, Christ University, Karnataka, Bangalore, India; Soundarabai P.B., Department of Computer Science, Christ University, Karnataka, Bangalore, India; Raj P., Reliance Jio Platforms Ltd., Karnataka, Bangalore, India</text>
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                <text>Sexual Selection, Signaling and Facial Hair: US and India Ratings of Variable Male Facial Hair</text>
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                <text>Beard; Cultural evolution; Facial hair; Sexual selection</text>
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                <text>Objective: The objective of this study was to address the putative ancestral social signaling value of male facial hair, in concert with variable cultural meaning. The ability to grow facial hair might have served as an honest ancestral signal of male age, social dominance, strength and health. Male facial hair may also have had signaling value for attractiveness, though these might be less strong than effects tied to male-male competition. Male facial hair can also be modified, giving rise to cultural variation in its potential signaling function. Methods: We surveyed N= 252 US men and women and N= 280 Indian men and women, ages 1825, about sociodemographics and attitudes toward male facial hair. Participants rated a randomized series of nine images of a composite male model with facial hair with respect to: preferred style, estimated age, attractive to potential partners, assertive, physically strong, friendly, and healthy. Types of facial hair were group into three categories: clean shaven, partial (e.g., Van Dyke, soul patch, stubble) and beard. Results: Supporting hypothesized differences, results show that more male facial hair was positively associated with age estimates and negatively with friendliness, and positively related to assertiveness and physical strength. Supporting hypotheses, women preferred less facial hair and rated less facial hair as more attractive. Some sample differences arose, such as Indian participants perceiving greater age range estimates than US respondents. Conclusion: These data indicate patterned variation in evaluations of male facial hair that can be situated within an evolutionary and culturally evolved signaling framework.  2020, Springer Nature Switzerland AG.</text>
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                <text>Gray P.B.; Craig L.K.; Paiz-Say J.; Lavika P.; Kumar S.A.; Rangaswamy M.</text>
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                <text>ISSN: 21987335</text>
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                <text>Gray P.B., Department of Anthropology, University of Nevada, 4505 S. Maryland Parkway, Box 455003, Las Vegas, 89154-5003, NV, United States; Craig L.K., Department of Anthropology, University of Nevada, 4505 S. Maryland Parkway, Box 455003, Las Vegas, 89154-5003, NV, United States; Paiz-Say J., Department of Anthropology, University of Nevada, 4505 S. Maryland Parkway, Box 455003, Las Vegas, 89154-5003, NV, United States; Lavika P., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India; Kumar S.A., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India; Rangaswamy M., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India</text>
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                <text>family dynamics; grandfathers; grandmothers; social change; urban India</text>
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                <text>A variety of caregivers, including grandparents, help raise children. Among grandparents, most Western samples evidence a matrilateral (i.e., mothers kin) bias in caregiving, and many studies show more positive impacts and stronger relationships with grandmothers than grandfathers. The aim of the present study is to test competing hypotheses about a potential laterality bias and explore contrasts between grandmothers and grandfathers in a sample of urban young adult university students in Bangalore, India. A sample of 377 (252 women) relatively mobile and high socioeconomic status individuals 17 to 25 years of age completed a survey consisting of sociodemographic and grandparenting questions. Results reveal generally little evidence of either a patrilateral or matrilateral bias, though findings varied for some outcomes. As illustrations, there were no differences in residential proximity or the most recent time when a participant saw matrilateral or patrilateral grandparents, whereas maternal grandmothers were more approving of ones choice of a life partner than were paternal grandmothers. In inductively coded responses to an open-ended item about the roles of grandparents, maternal grandmothers were more often identified as guides and less often deemed non-significant than paternal grandmothers, while paternal grandfathers were less often viewed as guardians and more often noted for their influence compared with maternal grandparents. Findings also revealed differences between grandmothers and grandfathers, such as grandmothers playing more prominent roles in community and religious festivals. Findings are interpreted within changing residential, work, education, and family dynamics in urban India as well as a primary importance on parents relative to grandparents.  The Author(s) 2019.</text>
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                <text>Gray P.B.; Longkumer W.; Panda S.; Rangaswamy M.</text>
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                <text>SAGE Open, Vol-9, No. 3</text>
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                <text>&lt;a href="https://doi.org/10.1177/2158244019871070" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/2158244019871070&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071720034&amp;amp;doi=10.1177%2F2158244019871070&amp;amp;partnerID=40&amp;amp;md5=34597236f8b1e2249823671684717ccf" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071720034&amp;amp;doi=10.1177%2f2158244019871070&amp;amp;partnerID=40&amp;amp;md5=34597236f8b1e2249823671684717ccf&lt;/a&gt;</text>
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              <elementText elementTextId="130055">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>ISSN: 21582440</text>
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                <text>Gray P.B., University of Nevada, Las Vegas, United States; Longkumer W., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Panda S., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Rangaswamy M., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Panel data analysis of Indian textile exports in the post quota period /</text>
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                <text>Economics</text>
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                <text>Trade And Development Review, Vol. 11, Issue 1-2, pp.1-27.</text>
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                <text>Greeshma  Manoj and S. Muraleedharan</text>
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                <text>&lt;a href="https://www.researchgate.net/publication/337000481_Panel_Data_Analysis_of_Indian_Textile_Exports_in_the_Post_Quota_Period" target="_blank" title="Panel Data Analysis of Indian Textile Exports In The Post Quota Period." rel="noreferrer noopener"&gt;https://www.researchgate.net/publication/337000481_Panel_Data_Analysis_of_Indian_Textile_Exports_in_the_Post_Quota_Period&lt;/a&gt;</text>
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      <description>PhD Thesis</description>
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                <text>The Effectiveness of Adolescence Education Programme in Relation to Stress and Meaning in Life Among the Adolescents  </text>
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                <text>Bacillus sp; Biopolymers; Characterization; Floral waste; Optimization; Polyhydroxyalkanoates</text>
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                <text>The versatile properties and high degree of biodegradability of polyhydroxyalkanoates (PHA) have made them the ideal candidate for biomedical and other applications. Although extensive research on PHA-producing bacterial isolates from terrestrial environments is documented in the available literature, the potential of marine bacterial isolates in PHA production remains less explored and offers a great scope for future research. This research work primarily focuses on isolation and characterization of PHA-producing bacterial isolates from samples collected from coastal areas of Kerala, India. Furthermore, the possibility of PHA production from the most potential isolate Bacillus cereus TS1 using jasmine waste hydrolysate-based media was explored in this study. The utilization of floral waste hydrolysate (FWH) for PHA fermentation is not widely discussed in the available literature and is the major novelty factor of this research work. Under optimized conditions of glucose (1.2% w/v), yeast extract (0.15% w/v), NaCl (5.02% w/v), and incubation period (60h), a maximum PHA yield of 1.13g/L was achieved. The characterization of PHA polymer was done using Fourier transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), X-ray diffraction (XRD) and thermogravimetric analysis (TGA). Thus, this research work integrates floral waste valorisation with microbial biopolymer production and highlights an innovative approach for sustainable development. The scale of this method on an industrial scale in future may prove helpful in the cost-effective production of PHA using cheap raw materials. Graphical Abstract: [Figure not available: see fulltext.]. 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</text>
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                <text>Grigary S.; Umesh M.</text>
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                <text>Grigary S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Mani V.M., Department of Biotechnology, RVS College of Arts and Science, Tamil Nadu, Coimbatore, India</text>
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                <text>The high demand for automobiles has increased traffic hazards and road accidents. Life of the people is under high risk. This is because of the lack of the best emergency facilities available in the country. The proposed system can detect accidents in significantly less time and sends the basic information first to aid center and relatives of the victim on mobile and Amazon Alexa within a few seconds covering geographical coordinates. Various devices like Arduino UNO for car movement demonstration, Arduino Mega for accident detection and Raspberry Pi 3B for internet services gateway, accelerometer and impact sensor working together to detect an accident. All connected over the internet to generate a huge amount of data which holds a lot of information about the occurrence of the accident based on the speed and location and can be used to detect accident hotspots. The system also focuses on the safety of pedestrians where a safety band is programmed to perform the notification services using an emergency push button. The ESP8266 NodeMCU invokes the same services using a button on the module. The data generated may be used for the prediction, analysis to prevent future accidents and contribute to future road safety.  Springer Nature Switzerland AG 2020.</text>
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                <text>Internet of Things (IoT): Concepts and Applications, pp. 391-407.</text>
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                <text>Grover L., Department of Computer Science, Christ University, Bangalore, India; Kirubanand V.B., Department of Computer Science, Christ University, Bangalore, India; Paulose J., Department of Computer Science, Christ University, Bangalore, India</text>
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                <text>One important response to COVID-19 was the intensification of the use of digital media to deliver education. However, the results are paradoxical, since the digital revolution did not lead to improvement of the social quality of teachers working circumstances. We ana-lyze internal or subjective oriented constitutional and external or objective orientated conditional factors related to teachers that determine the adaptation of digitalization, taking a social quality perspective. Through a case study in the most advanced educational hub of IndiaDelhiwe find that the digital revolution helped India to address the first-order problems in digital transformation, namely concerning objective infrastructural facilities. The second-order problems, particularly changing the subjective belief structures of teachers related to the integration of technologies, appear to remain a challenge. As India has recently adopted a new education policy (2020), the findings of our study have significant relevance to improving the accessibility and utilization of digital technology in educational spaces.  The Author(s).</text>
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                <text>Grover S., Ernst and Young, New Delhi, India; Mathew L., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>K? to K? X-ray intensity ratio and KL vacancy transfer probability of Mn following electron capture decay</text>
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                <text>effect of electron capture; K&lt;sub&gt;?&lt;/sub&gt; to K&lt;sub&gt;?&lt;/sub&gt; intensity ratio of Mn; total KL total vacancy transfer probability</text>
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                <text>K? and K? X-rays of Mn following electron capture (EC) decay of55 Fe were detected using Amptek XR-100 T-CdTe X-ray detector spectrometer. Measured K? and K? X-ray intensities of Mn were used to determine the K? to K? intensity ratio and total KL total vacancy transfer probability. These values were compared with the theoretical, semiempirical, and others experimental values obtained via EC decay as well as photoionization. The X-ray intensity ratio of Mn was found to be higher by 1.5% from the relativistic Hartree-Slater theoretical value. This deviation may be attributed to the exchange interactions occurring between the 3p and 3d shell electrons as well as the recoil effect of the nucleus due to neutrino emission.  2023 The Author(s).</text>
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                <text>Canadian Journal of Physics, Vol-101, No. 11, pp. 613-618.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177472015&amp;amp;doi=10.1139%2Fcjp-2023-0080&amp;amp;partnerID=40&amp;amp;md5=a918403e1373c3c6626636e106068732" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177472015&amp;amp;doi=10.1139%2fcjp-2023-0080&amp;amp;partnerID=40&amp;amp;md5=a918403e1373c3c6626636e106068732&lt;/a&gt;</text>
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                <text>Gudennavar S.B., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560 029, India; Bubbly S.G., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560 029, India</text>
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                <text>A compilation of interstellar column densities</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="139571">
                <text>dust, extinction; ISM: abundances; ISM: clouds</text>
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              <elementText elementTextId="139572">
                <text>We have collated absorption line data toward 3008 stars in order to create a unified database of interstellar column densities. These data have been taken from a number of different published sources and include many different species and ionizations. The preliminary results from our analysis show a tight relation [N(H)/E(B - V)= 6.1210 21] between N(H) and E(B - V). Similar plots have been obtained with many different species, and their correlations along with the correlation coefficients are presented.  2012 The American Astronomical Society. All rights reserved.</text>
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              <elementText elementTextId="139573">
                <text>Gudennavar S.B.; Bubbly S.G.; Preethi K.; Murthy J.</text>
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              <elementText elementTextId="139574">
                <text>Astrophysical Journal, Supplement Series, Vol-199, No. 1</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857885778&amp;amp;doi=10.1088%2F0067-0049%2F199%2F1%2F8&amp;amp;partnerID=40&amp;amp;md5=5d0c3049f7210027057cf1b9660b975c" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857885778&amp;amp;doi=10.1088%2f0067-0049%2f199%2f1%2f8&amp;amp;partnerID=40&amp;amp;md5=5d0c3049f7210027057cf1b9660b975c&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="139577">
                <text>All Open Access; Bronze Open Access</text>
              </elementText>
            </elementTextContainer>
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                <text>ISSN: 670049</text>
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                <text>Gudennavar S.B., Department of Physics, Christ University, Bangalore 560 029, Karnataka, Hosur Road, India; Bubbly S.G., Department of Physics, Christ University, Bangalore 560 029, Karnataka, Hosur Road, India; Preethi K., Department of Physics, Christ University, Bangalore 560 029, Karnataka, Hosur Road, India; Murthy J., Indian Institute of Astrophysics, Bangalore 560 034, Karnataka, II Block, Koramangala, India</text>
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                <text>A Multi-Modal Approach to Digital Document Stream Segmentation for Title Insurance Domain</text>
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            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="113610">
                <text>BERT; binary classification; multi modal training; Page stream segmentation; title insurance; VGG16</text>
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              <elementText elementTextId="113611">
                <text>In the twenty-first century, storing and managing digital documents has become commonplace for all corporate and public sectors around the world. Physical documents are scanned in batches and stored in a digital archive as a heterogeneous document stream, referred to as a digital package. To make Robotic Process Automation (RPA) easier, it's necessary to automatically segment the document stream into a subset of independent, coherent multi-page documents by detecting the appropriate document boundary. It's a common requirement of a TI company's Automated Document Management Systems (ADMS), where business operations are automated using RPA and the goal is to extract information from digital documents with minimal user intervention. The current study proposes, evaluates, and compares a multi-modal binary classification network incorporating text and picture aspects of digital document pages to state-of-the-art baseline methodologies. Image and textual features are extracted simultaneously from the input document image by passing them through Visual Geometry Group 16 - Convolutional Neural Network (VGG16-CNN) and pre-trained Bidirectional Encoder Representations from Transformers (Legal-BERT {}_{base} ) model through transfer learning respectively. Both features are finally fused and passed through a fully connected layer of Multi Layered Perceptron (MLP) to obtain the binary classification of the pages as the First Page (FP) and Other Page (OP). Real-time document image streams from production business process archive were obtained from a reputed Title Insurance (TI) company for the study. The obtained F_{1} score of 97.37% and 97.15% are significantly higher than the accuracies of the considered two baseline models and well above the expected Straight Through Pass (STP) threshold defined by the process admin.   2013 IEEE.</text>
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                <text>Guha A.; Alahmadi A.; Samanta D.; Khan M.Z.; Alahmadi A.H.</text>
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                <text>IEEE Access, Vol-10, pp. 11341-11353.</text>
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              <elementText elementTextId="113614">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ACCESS.2022.3144185" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ACCESS.2022.3144185&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123371503&amp;amp;doi=10.1109%2FACCESS.2022.3144185&amp;amp;partnerID=40&amp;amp;md5=6998ef3231722b8bc2dc89ce6c6fba1f" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123371503&amp;amp;doi=10.1109%2fACCESS.2022.3144185&amp;amp;partnerID=40&amp;amp;md5=6998ef3231722b8bc2dc89ce6c6fba1f&lt;/a&gt;</text>
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            <elementTextContainer>
              <elementText elementTextId="113617">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 21693536</text>
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                <text>Guha A., Department of Data Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India, First American India Private Ltd., Karnataka, Bengaluru, 560038, India; Alahmadi A., Department of Computer Science and Information, Taibah University, Medina, 42353, Saudi Arabia; Samanta D., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Khan M.Z., Department of Computer Science and Information, Taibah University, Medina, 42353, Saudi Arabia; Alahmadi A.H., Department of Computer Science and Information, Taibah University, Medina, 42353, Saudi Arabia</text>
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                <text>Clustering-based Optimal Resource Allocation Strategy in Title Insurance Underwriting</text>
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                <text>Production of insurance policies in all types of Insurance requires a thorough examination of the entity against which the Insurance is to be issued. In health insurance, it is the past medical data of the individuals. Vehicle insurance needs the examination of the vehicle and the owner's data. Likewise, in Title Insurance, it is the historical data of the property which needs scrutiny before the policy issuance. Underwriters perform the job of examining the property records. The scrutiny of the property records requires a high degree of the domain and legal expertise, and title insurance underwriters are often associated with legal professions. They do the final round of validation of the examination process. There are examination teams that take care of the initial set of regular examination tasks associated with each title insurance order. Some human experts assign the orders to the team associates. Not all the orders are of the same complexity in terms of examination. The allocation of the tasks happens based on the gut feeling of the supervisor, considering their experience with the team members. Our research creates clusters of the orders based on specific parameters associated with the orders. It builds a cost model of the past associates working on orders belonging to different clusters. Based on this cost matrix, we have built an optimal task allocation model that assigns the orders to the associates with the promise of optimal cost using a Linear programming solution used frequently in operations research.   2022 IEEE.</text>
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                <text>Guha A., CHRIST University, Eagle Labs First American India Private Limited, Department of Computer Science, Karnataka, Bangalore, India; Obaidat M.S., Department of Computer Science, Cybersecurity Center, University of Texas-Permian Basin, United States, University of Jordan, KASIT, Amman, 11942, Jordan, University of Science and Technology, School of Computer and Communication Engineering, Beijing, China, Amity University, Noida, India; Samanta D., Department of Computer Science, CHRIST University, Bangalore, Karnataka, India; Islam S.K.H., Indian Institute of Information Technology Kalyani, Department of Computer Science and Engineering, West Bengal, 741235, India</text>
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                <text>Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance</text>
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                <text>Anomaly detection; autoencoder; dimensionality reduction; one-class support vector machine (OSVM); robotic process automation; term frequency  inverse document frequency (TF-IDF); title insurance</text>
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                <text>Anomaly detection (AD) is an important aspect of various domains and title insurance (TI) is no exception. Robotic process automation (RPA) is taking over manual tasks in TI business processes, but it has its limitations without the support of artificial intelligence (AI) and machine learning (ML). With increasing data dimensionality and in composite population scenarios, the complexity of detecting anomalies increases and AD in automated document management systems (ADMS) is the least explored domain. Deep learning, being the fastest maturing technology can be combined along with traditional anomaly detectors to facilitate and improve the RPAs in TI. We present a hybrid model for AD, using autoencoders (AE) and a one-class support vector machine (OSVM). In the present study, OSVM receives input features representing real-time documents from the TI business, orchestrated and with dimensions reduced by AE. The results obtained from multiple experiments are comparable with traditional methods and within a business acceptable range, regarding accuracy and performance.  2020, Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature.</text>
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                <text>Guha A.; Samanta D.</text>
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                <text>International Journal of Automation and Computing, Vol-18, No. 1, pp. 55-72.</text>
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                <text>Chinese Academy of Sciences</text>
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                <text>ISSN: 14768186</text>
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                <text>Guha A., Data Science Department, CHRIST (Deemed to be University), Bangalore, 560029, India, First American India Private Ltd., Bangalore, 560038, India; Samanta D., Computer Science Department, CHRIST (Deemed to be University), Bangalore, 560029, India</text>
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                <text>Real-Time Application of Document Classification Based on Machine Learning</text>
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                <text>This research has been performed, keeping a real-time application of document (multi-page, varying length, scanned image-based) classification in mind. History of property title is captured in various documents, recorded against the said property in all the countries across the world. Information of the property, starting from ownership to the conveyance, mortgage, refinance etc. are buried under these documents. This is by far a human driven process to manage these digitized documents. Categorization of the documents is the primary step to automate the management of these documents and intelligent retrieval of information without or minimal human intervention. In this research, we have examined a popular, supervised machine learning technique called, SVM (support vector machine) with a heterogeneous data set of six categories of documents related to property. The model obtained an accuracy of 88.06% in classifying over 988 test documents.  2020, Springer Nature Switzerland AG.</text>
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                <text>ISSN: 26623447</text>
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                <text>Guha A., Eagle Labs, First American India Private LTD., Bangalore, India; Samanta D., Department of Computer Science, Christ University (Deemed to be), Bangalore, India</text>
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                <text>A Deep Learning Model for Information Loss Prevention from Multi-Page Digital Documents</text>
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              <elementText elementTextId="120937">
                <text>artificial neural network; binary classification; data loss prevention; Information security; multi-layer perceptron; title insurance</text>
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                <text>World Wide Web has redefined almost all the business models in the past twenty-five to thirty years. IoT, Big Data, AI are some of the comparatively recent technologies which brought in a revolution in the digitization and management of data. Along with the revolution arose the need for data security and consumer privacy protection, primarily concerning financial institutions. The data breach of Equifax in 2017 and personal information leaks from Facebook in 2021 led to general skepticism among the customers of large corporations. The GLBA, 1999, also known as the Financial Modernization Act, was implemented by US federal law to enforce the financial institutions to protect their private information. Built upon the GLBA, guidelines are paved by FTC for all financial institutions of the United States of America, including TI companies. In this paper, an ANN-based content classification technique using MLP architecture in combination with n-gram TF-IDF feature descriptor is proposed to detect and protect the customers' sensitive information of a reputed TI company securing it's one of the digital image-document stores. The proposed technique is compared with other state-of-the-art strategies. Data samples from the digital document store of the company have been taken into consideration in the study, and the prediction accuracy metrics obtained are found to be substantially better and within the acceptable range defined by the organization's information security monitoring team.  2013 IEEE.</text>
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                <text>Guha A.; Samanta D.; Banerjee A.; Agarwal D.</text>
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                <text>IEEE Access, Vol-9, pp. 80451-80465.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107197542&amp;amp;doi=10.1109%2FACCESS.2021.3084841&amp;amp;partnerID=40&amp;amp;md5=6547c4373370da8e56e5c19b9c78d5df" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107197542&amp;amp;doi=10.1109%2fACCESS.2021.3084841&amp;amp;partnerID=40&amp;amp;md5=6547c4373370da8e56e5c19b9c78d5df&lt;/a&gt;</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 21693536</text>
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                <text>Guha A., Department of Data Science, CHRIST (Deemed to Be University), Bengaluru, 560029, India, First American India Private Ltd., Bengaluru, 560038, India; Samanta D., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Banerjee A., Department of Electrical and Computer Engineering, Microelectronic Technologies and Devices, National University of Singapore, Singapore, 119077, Singapore; Agarwal D., Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, 19104, PA, United States, Lam Research Corporation, Fremont, 94538, CA, United States</text>
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                <text>IIRM: Intelligent Information Retrieval Model for Structured Documents by One-Shot Training Using Computer Vision</text>
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                <text>Best match region; Digital image processing; Information extraction; One-shot training; Structured document; Template matching; Title insurance</text>
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                <text>Various information retrieval algorithms have matured in recent years to facilitate data extraction from structured (with a predefined template) digital document images, primarily to manage and automate different organizations invoice and bill reimbursement processes. The algorithms are designated either rule-based or machine-learning-based. Both approaches have respective advantages and disadvantages. The rule-based algorithms struggle to generalize and need periodic adjustments, whereas machine learning-based supervised approaches need extensive data for training and substantial time and effort for manual annotation. The proposed system attempts to address both problems by providing a one-shot training approach using image processing, template matching, and optical character recognition. The model is extensible for any structured documents such as closing disclosure, bill, tax receipt, besides invoices. The model is validated against six different structured document types obtained from a reputed title insurance (TI) company. The comprehensive analysis of the experimental results confirms entity-wise extraction accuracy between 73.91 and 100% and straight through pass 81.81%, which is within business acceptable precision for a live environment. Out of total 32 tested entities, 17 outperformed all state-of-the-art techniques, where max accuracy has been 93 % with only invoices or sales receipts. The system has been set operational to assist the robotic process automation of the TI mentioned above based on the experimental results.  2022, King Fahd University of Petroleum &amp;amp; Minerals.</text>
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                <text>Guha A.; Samanta D.; Islam S.H.</text>
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                <text>Arabian Journal for Science and Engineering, Vol-48, No. 2, pp. 1285-1301.</text>
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              <elementText elementTextId="98396">
                <text>Institute for Ionics</text>
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                <text>&lt;a href="https://doi.org/10.1007/s13369-022-06735-3" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s13369-022-06735-3&lt;/a&gt;
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                <text>ISSN: 2193567X</text>
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                <text>Guha A., Department of Computer Science, Christ (Deemed to be) University, Karnataka, Bangalore, 560029, India, First American India Private Limited, Karnataka, Bangalore, 560038, India; Samanta D., Department of Computer Science, Christ (Deemed to be) University, Karnataka, Bangalore, 560029, India; Islam S.H., Department of Computer Science and Engineering, Indian Institute of Information Technology Kalyani, West Bengal, Kalyani, 741235, India</text>
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