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                <text>In recent years, facial recognition has emerged as a key technological advancement with numerous useful applications in numerous industries. FaceNet, ArcFace, and OpenFace are three widely used techniques for facial identification. In this study, we examined the accuracy, speed, and capacity to manage variations in face expression, illumination, and occlusion of these three approaches over a period of five years, from 2018 to 2023. According to our findings, FaceNet is more accurate than ArcFace and OpenFace, even under difficult circumstances like shifting lighting and facial occlusion. Also, during the previous five years, FaceNet has shown a significant improvement in performance. Even while ArcFace and OpenFace have made significant strides, they still lag behind FaceNet in terms of accuracy. Therefore, based on our findings, we conclude that FaceNet is the most effective method for facial recognition and is well-suited for use in high-stakes applications where accuracy is crucial.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.</text>
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                <text>Iype J.K., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560001, India; Sebastian S., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560001, India</text>
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                <text>The time series forecasting system can be used for investments in a safe environment with minimized chances of loss. The Holt-Winters algorithm followed various procedures and observed the multiple factors applied to the neural network. The final module helps filter the system to predict the various factors and provides a rating for the system. This research work uses real-time dataset of fifteen stocks as input into the system and, based on the data, predicts or forecasts future stock prices of different companies belonging to different sectors. The dataset includes approximately fifteen companies from different sectors and forecasts their results based on which the user can decide whether to invest in the particular company or not; the forecasting will give an accurate result for the customer investments.   2022 Iyyappan. M et al.</text>
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                <text>Scientific Programming, Vol-2022</text>
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                <text>Iyyappan M., School of Sciences, Christ (Deemed to Be University), Delhi-NCR, Ghaziabad, 201003, India; Ahmad S., Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, 11942, Saudi Arabia; Jha S., School of Sciences, Christ (Deemed to Be University), Delhi-NCR, Ghaziabad, 201003, India; Alam A., Department of Computer Science, Bakhtar University, Kabul, Afghanistan; Yaseen M., Faculty of Information Technology, University of Central Punjab, Lahore, Pakistan; Abdeljaber H.A.M., Department of Computer Science, Faculty of Information Technology, Applied Science Private University, Amman, Jordan</text>
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                <text>A Component Selection Framework of Cohesion and Coupling Metrics</text>
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                <text>cohesion metric; complexity component; Component-based software system; coupling metric; interface module density</text>
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                <text>Component-based software engineering is concerned with the development of software that can satisfy the customer prerequisites through reuse or independent development. Coupling and cohesion measurements are primarily used to analyse the better software design quality, increase the reliability and reduced system software complexity. The complexity measurement of cohesion and coupling component to analyze the relationship between the component module. In this paper, proposed the component selection framework of Hexa-oval optimization algorithm for selecting the suitable components from the repository. It measures the interface density modules of coupling and cohesion in a modular software system. This cohesion measurement has been taken into two parameters for analyzing the result of complexity, with the help of low cohesion and high cohesion. In coupling measures between the component of inside parameters and outside parameters. The final process of coupling and cohesion, the measured values were used for the average calculation of components parameter. This paper measures the complexity of direct and indirect interaction among the component as well as the proposed algorithm selecting the optimal component for the repository. The better result is observed for high cohesion and low coupling in component-based software engineering.  2022 CRL Publishing. All rights reserved.</text>
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                <text>Computer Systems Science and Engineering, Vol-44, No. 1, pp. 351-365.</text>
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                <text>Iyyappan M., Department of Computer Science and Engineering, SRM University, Delhi-NCR, Sonepat, 131029, India; Kumar A., Department of Computer Science and Engineering, SRM University, Delhi-NCR, Sonepat, 131029, India; Ahmad S., Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, 11942, Saudi Arabia; Jha S., School of Sciences, Christ (Deemed to be University), Delhi-NCR, Ghaziabad, 201003, India; Alouffi B., Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Alharbi A., Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia</text>
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                <text>The fractional-order marriagedivorce mathematical model: numerical investigations and dynamical analysis</text>
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                <text>In this research, we present a fractional-order mathematical model that simulates the ongoing phenomenon of marriage and divorce, which significantly impacts human lives. The model is defined within the LiouvilleCaputo framework and incorporates different states and parameter values. Specifically, the model consists of four state variables that describe the statuses of married, divorced, or troubled couples, as well as the interactions between these states. We conduct a stability analysis for the proposed model and calculate the equilibrium points, revealing the conditions for a stable solution. Moreover, we establish the existence, uniqueness, and boundedness of the models solution using the Banach fixed point theorem. The global stability of the obtained equilibrium points is investigated using the Lyapunov function, revealing a globally stable solution with specific conditions. To obtain the results, we employ a multi-domain collocation technique that utilizes orthogonal generalized Romanovski polynomials. These polynomials offer the advantage of achieving higher-order accuracy without requiring a large number of basis functions. We assess the accuracy of the proposed technique by calculating the residual error. Furthermore, we conduct simulations with various parameter values and fractional orders to demonstrate the techniques effectiveness under different scenarios. The results confirm the techniques ability to provide accurate outcomes across multiple scenarios. To enhance result validation, a comparison with real data from the USA is introduced for both married and divorced individuals. This elucidates the significance of the proposed fractional model in providing a deeper understanding of the dynamics and behavior of the solution and its impact on the populations lives. By introducing and analyzing this model, this research contributes to a deeper understanding of the dynamics and implications of marriage and divorce phenomena.  The Author(s), under exclusive licence to SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2024.</text>
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                <text>Izadi M.; Veeresha P.; Adel W.</text>
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                <text>European Physical Journal Plus, Vol-139, No. 3</text>
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                <text>Patent Number: 202241048840, Applicant: Nagendra N.&#13;
Attention Based Sentence Classification Using Term Frequency-Inverse Document Frequency and N-Gram On an e-commerce platform, products sold have critical and varying reviews from buyers which are difficult to analyze considering the hugenumber of reviews. The proposed model aspect extraction helps in categorizing sentence accurately.</text>
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                <text>Patent Number: 202241047867, Applicant: Sujatha A K.</text>
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                <text>Behavioural traits exhibited by individual investors play a vital role in the investment
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behavioural traits shown by different individual investors by their unique characteristics. The
study was conducted on a sample size of 811 individual investors from different parts of
Bengaluru. The study classified the investment decisions into four aspects and also identified
whether investment decisions vary significantlly due to demographic factors. The study
further developed a model which explains the linkages between behavioural traits to
investment attitude and investment attitude to investment decisions. Review of literature
revealed that there exists a gap in the studies in behavioural finance showing the linkages
between an investor's behavioural traits and investment attitude and investment decisions.
Even though many research happened to identify the personality traits of individual investors,
no significant attempt was made to study the linkage between behavioural traits on investment
decisions. In this study, an attempt was made to show how individual investors behavioural
traits can affect the investment attitude and how investment attitude can affect the investment
decision of an individual investor. Result of the study indicated that behavioural traits
influences the investment decisions of individual investors. The model developed in the study
also proved a linkage between behavioural traits , investment attitude and investment
decisions of individual investors with the moderating effect of demograpic factors.</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/426717" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/426717&lt;/a&gt;</text>
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                <text>Classical Be stars (CBe) in open clusters older than 100 Myr are identifed. The objective is to study their characteristics relating to age, spectral type and evolutionary state. This study compliments with that of Mathew et al. (2008), where they identifed and characterized emission-line stars in open clusters younger than 100 Myr. For this research, we surveyed a sample of newline71 open clusters older than 100 Myr using the slitless spectroscopy technique, with the Himalayan Chandra Telescope (HCT). From the survey we identifed 15 CBe stars from the 11 open clusters older than 100 Myr. Out of 15 CBe stars, 13 CBe stars show Hand#945; in emission. Among these CBe stars, TYC 2679-432-1 is a new detection, belonging to Berkeley 50 open newlinecluster. Two more CBe stars, out of 15 CBe stars, are found to exhibit Hand#945; in absorption for the frst time. This suggests that they might be passing through a disc-loss episode (or transient phase). Apart from our survey of 71 old open clusters, we found additional 16 Be stars from 6 open clusters older than 100 Myr in the literature (which was not observed in the slitless survey due to observation limitations). In addition to HFOSC instrument mounted on HCT, we used Opto Mechanics Research (OMR) spectrograph newlinemounted on 2.3-m Vainu Bappu Telescope (VBT) for taking the slit spectra of CBe stars. We performed the optical spectroscopy of 16 classical Be stars in 11 open clusters older than 100 Myr. Among these 16 stars, 15 newlinewere identifed from our previous slitless spectroscopic study. The remaining one, LS III +47 37b is a new detection, which is confrmed through the present study. Our analysis also suggests that one out of these 16 stars, [KW97] 35-12 might be a weak Hand#945; emitter in nature showing Hand#945; EW of -0.5  Moreover, it is found that the Hand#945; EW for 15 stars is lt -40  in agreement with previous works. Interestingly, we did not observe any FeII emission line or even the OI 8446 emission feature in any of our sample stars.</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="69808">
                <text>PDF</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="69809">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="69810">
                <text>PhD</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="69811">
                <text>&lt;a href="http://hdl.handle.net/10603/545525" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/545525&lt;/a&gt;</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
