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                <text>Analysis of Nifty 50 index stock market trends using hybrid machine learning model in quantum finance</text>
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                <text>National stock exchange fifty; Principle component analysis; Stock market; Technical indicators; Time series forecast</text>
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                <text>Predicting equities market trends is one of the most challenging tasks for market participants. This study aims to apply machine learning algorithms to aid in accurate Nifty 50 index trend predictions. The paper compares and contrasts four forecasting methods: artificial neural networks (ANN), support vector machines (SVM), naive bayes (NB), and random forest (RF). In this study, the eight technical indicators are used, and then the deterministic trend layer is used to translate the indications into trend signals. The principal component analysis (PCA) method is then applied to this deterministic trend signal. This study's main influence is using the PCA technique to find the essential components from multiple technical indicators affecting stock prices to reduce data dimensionality and improve model performance. As a result, a PCA-machine learning (ML) hybrid forecasting model was proposed. The experimental findings suggest that the technical factors are signified as trend signals and that the PCA approach combined with ML models outperforms the comparative models in prediction performance. Utilizing the first three principal components (percentage of explained variance=80%), experiments on the Nifty 50 index show that support vector classifier (SVC) with radial basis function (RBF) kernel achieves good accuracy of (0.9968) and F1-score (0.9969), and the RF model achieves an accuracy of (0.9969) and F1-Score (0.9968). In area under the curve (AUC) performance, SVC (RBF and Linear kernels) and RF have AUC scores of 1.  2023 Institute of Advanced Engineering and Science. All rights reserved.</text>
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                <text>Manjunath C.; Marimuthu B.; Ghosh B.</text>
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                <text>International Journal of Electrical and Computer Engineering, Vol-13, No. 3, pp. 3549-3560.</text>
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                <text>Manjunath C., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, India; Marimuthu B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, India; Ghosh B., Symbiosis Institute of Business Management, Symbiosis International (Deemed University), Bengaluru, India</text>
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                <text>Analysis of Nine Level Single-Phase Cascaded H-Bridge Inverters for EVs</text>
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                <text>Efficiency; Electric Vehicle Charging; Harmonic distortion; PV energy system; PWM</text>
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                <text>This paper explores the design and operation of a Modular Nine-Level Inverter (MLI)-Electric Vehicle (EV) charging system, incorporating solar energy to power domestic loads and charge EVs. The system comprises a solar panel, DC-DC regulator, and MLI for efficient energy conversion. The MLI's modular design reduces complexity and enhances efficiency. Equivalent circuits illustrate voltage level generation, while PWM control regulates power device switching for precise output control. Performance metrics, including regulated DC supply voltage and staircase nine-level output voltage, demonstrate the system's capability for diverse applications. A nearly sinusoidal current waveform and harmonic analysis underscore the system's effectiveness in delivering stable power with reduced harmonic distortion. Comparisons between filtered and unfiltered output highlight the importance of filtering techniques in improving power quality. Overall, the MLI-EV charging system showcases advancements in renewable energy integration, offering a versatile solution for sustainable electricity generation and EV charging.  2024 IEEE.</text>
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                <text>Parimalasundar E.; Jayakumar S.; Sita H.; Jayanthi R.; Hemanth Kumar B.; Suresh K.</text>
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                <text>2024 3rd International Conference on Smart Technologies and Systems for Next Generation Computing, ICSTSN 2024</text>
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                <text>Parimalasundar E., Mohan Babu University, Erstwhile Sree Vidyanikethan Engineering College, Electrical and Electronics Engineering, Tirupati, India; Jayakumar S., Sri Sairam College of Engineering, Electronics and Communication Engineering, Bengaluru, India; Sita H., Mother Theresa Institute of Engineering and Technology, Electrical and Electronics Engineering, Palamaner, India; Jayanthi R., Karpagam College of Engineering, Electrical and Electronics Engineering, Coimbatore, India; Hemanth Kumar B., Mohan Babu University, Erstwhile Sree Vidyanikethan Engineering College, Dept of EEE, Tirupati, India; Suresh K., Christ University, Electrical and Electronics Engineering, Bangalore, India</text>
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                <text>Caputo fractional derivative; Chaotic behaviors; Numerical method; Political parties</text>
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                <text>The goal of this work is to investigate nonlinear models and their complexity using techniques that are universal and have connections to historical and material aspects. Using the premise of a constant population that is uniformly mixed, a nonlinear compartmental model that depicts the movement between voter classes is taken into consideration. In the current work, we investigate the dynamical framework that supports the interactions between the three parties. It is discussed how rate change affects various metrics. The conditions for boundedness, stability, existence, and other dynamics are obtained. We derive the effects of generalizing the model in any order. The current study supports investigations into complex real-world issues and forecasts of necessary plans.  2023 The Author(s)</text>
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                <text>Guirao J.L.G.; Alsulami M.; Baskonus H.M.; Ilhan E.; Veeresha P.</text>
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                <text>Mathematics and Computers in Simulation, Vol-214, pp. 133-151.</text>
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                <text>Guirao J.L.G., Departamento de Matematica Aplicada y Estadistica, Universidad Politecnica de Cartagena, Hospital de Marina, Murcia, 30203, Spain; Alsulami M., Mathematical Modeling and Applied Computation Research Group (MMAC), Department of Mathematics, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia; Baskonus H.M., Department of Mathematics and Science Education, Faculty of Education, Harran University, Sanliurfa, Turkey; Ilhan E., Faculty of Engineering and Architecture, Kirsehir Ahi Evran University, Kirsehir, 40500, Turkey; Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India</text>
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                <text>Anwar M.S., Department of Mathematics, University of Jhang, Jhang, 35200, Pakistan; Alghamdi M., Department of Mathematics, College of Science, King Khalid University, Abha, 61413, Saudi Arabia; Muhammad T., Department of Mathematics, College of Science, King Khalid University, Abha, 61413, Saudi Arabia; Hussain M., Department of Natural Sciences and Humanities, University of Engineering and Technology, Lahore, 54890, Pakistan; Puneeth V., School of Sciences, CHRIST University, Delhi-NCR, Ghaziabad, India</text>
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                <text>This article presents a comprehensive analysis of the online in-destination booking service processes within the dynamic landscape of the travel industry. Utilizing a case study approach, the research investigates the various stages involved in providing travel-related services, focusing on the key players. The study employs a quantitative method to assess the information quality, system quality, service quality, customer satisfaction, and purchase intention of online in-destination booking. The research highlights the investigation of the usability of online travel booking systems and identifies the purchase intention of customers towards online travel booking websites. To address the research objectives, the participants are selected using a nonprobability sampling method. The sample size of the study is 225 from in and around Coimbatore. The sampling procedure used is convenience sampling. The sampling is selected based on convenience and accessibility to the residents. The findings reveal that there exists a significant difference in respondents opinions on quality criteria: system quality and service quality. Additionally, the study finds that the loading time of online travel booking websites is positively correlated with quality criteria and features of travel apps. By examining a specific case within the travel sector, this study contributes valuable insights that can inform strategic decision-making for businesses operating in the online in-destination booking space. The results aim to guide industry players in enhancing their operational efficiency, leveraging technology advancements, and aligning their services with evolving customer expectations, ultimately fostering sustainable growth in the competitive travel market.  2024, Bentham Books imprint.</text>
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                <text>Doe M.B., Department of Management Studies, Sri Ramakrishna Engineering College, Coimbatore, India; Dhanabagiyam S., School of Business and Management, Christ University, Bengaluru, India; Irfan M., School of Business and Management, Christ University, Bengaluru, India</text>
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                <text>ANALYSIS OF ORGANISATION BLOGS AS A PR TOOL </text>
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                <text> Balachandran   Pooja</text>
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                <text>Organisation blogs have been used by organisations constantly at present times with the evolution of the digital world taking place. Every organisation involves various mediums through which they are constantly kept in the minds of the people. The researcher aims to find out the patterns and strategies used in organisation blogs as a Public relations tool. There are many public relations tools like in house publications, press conferences, Press releases, PR campaigns have been used by organisations since decades. The researcher aims to find out the growing importance of organisation blogs in the current scenario. The researcher would adopt qualitative method for the study. The researcher would analyse the blogs of top brands and conduct expert interviews. </text>
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                <text>Jomon S., Department of Life Sciences, CHRIST University, Karnataka, Bengaluru, 560029, India; Bastian B.T., Augsense Lab, Kerala, Thiruvananthapuram, India; Joseph M.M., Department of Life Sciences, CHRIST University, Karnataka, Bengaluru, 560029, India</text>
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                <text>Bloodstain pattern analysis (BPA) is a critical forensic science tool for reconstructing crime scene events. In this study, the effect of substrate type and drop height on the morphology of passive bloodstains was examined under controlled laboratory conditions. Blood samples were dropped vertically at 90 angle from three different heights, and the drops were permitted to strike five different surfaces, including curved cups, crushed chart paper, jute cloth, jelly stone, and concrete. These substrates were chosen to represent a realistic range of porous, semi-porous, non-porous, textured, and curved materials that are commonly encountered in crime scenes. The features of the substrate affect stain morphology, including shape irregularity and satellite formation, but not the measured angle of impact. These findings validate the consistency of impact angle determination using BPA, wherein the nature of the substrate primarily affects stain morphology but not necessarily the accuracy of angles. The large image data sets were tested using deep learning approaches, which effectively differentiate bloodstain patterns generated from varying fall heights. MobileNet model, leveraging pretrained ImageNet features, achieved superior accuracy and generalisation, underscoring the value of transfer learning for small forensic datasets. Future extensions of this work will include multiple impact angles, motion-related effects and temperature-controlled conditions to represent the actual crime scene scenarios. Deep learningbased analysis of these data may improve the understanding of bloodstain morphology and strengthen the forensic applicability.  2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.</text>
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                <text>This study investigates the propagation of Rayleigh-type surface waves in a homogeneous, transversely isotropic piezoelectric half-space under various boundary conditionsspecifically, stress-free, electrically open- or short-circuited, and thermally insulated or isothermal surfaces. We analyze the problem within the framework of the GreenNaghdi type III (GN-III) and three-phase-lag thermoelastic models named as model I. Also, studies carry the comparative study with Rayleigh surface wave propagation in piezoelectric media influenced by thermal effects and the presence of voids where this has analytical solutions for Rayleigh wave propagation in a nonlocal piezo-thermoelastic medium with voids, employing the MooreGibsonThompson thermoelasticity theory that incorporates memory-dependent effects named as model II. Plane harmonic wave solutions are employed to determine mechanical displacements, electric potential and temperature variations. Using these results, expressions for stress, electric displacement and temperature gradient are derived. Four secular equations corresponding to different boundary conditions are formulated for the considered half-space. The trajectories of surface particles are shown to follow elliptical paths in a vertical plane parallel to the direction of wave propagation, with the eccentricity of these ellipses explicitly calculated. When there is no phase difference between the vertical and horizontal displacement components, the particle motion degenerates into a straight-line path. A previously established analysis is recovered as a special case of the present model. The effects of various wave characteristicsincluding phase velocity, attenuation coefficient and specific lossare illustrated graphically for both the GN-III and three-phase-lag models, using cadmium selenide (a 6-mm class, hexagonally symmetric material) as the representative medium. The findings of this study highlight several distinct scenarios that enhance the understanding of Rayleigh wave propagation in complex material systems, especially those containing voids. This research offers important insights into the interplay between piezoelectric components and surface wave behavior, paving the way for advancements in sensor design, improved energy harvesting techniques and innovative seismic monitoring applications. This mathematical framework can serve as a foundation for the design and development of temperature sensors and other piezoelectric surface acoustic wave devices.  The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2025.</text>
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                <text>In the past few decades, the terrorist attack on buildings has significantly increased. Blast loads due to explosions cause severe damage to the buildings structural and non-structural elements which may also lead to progressive collapse of the building. Hence, there is a need for the structures to be analysed and designed for blast loads in addition to the conventional loads. An investigation is undertaken to minimize the damage of a G+3 storied building and by improving the mechanical properties such as compressive strength, nonlinear behaviour of M40 grade concrete by adding carbon fibres in different dosages. A finite element model of G+3 storied building has been created using Ansys/LS Dyna to analyse the structure subjected to a blast load with charge weights of 50 kg, 100 kg, 150 kg at 3000 mm standoff distance. The lateral deflections and strains of the structure are determined for different charge weights to study the behaviour of the structure when subjected to blast loads. The addition of carbon fibres has improved the behaviour of structure by reducing the strains and deflections and optimum dosage of fibres is also determined in this paper.  2023, Springer Science and Business Media Deutschland GmbH. All rights reserved.</text>
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                <text>Palani Y., Department of Civil Engineering, Christ University, Bangalore, India; Raghunandan Kumar R., Department of Civil Engineering, Christ University, Bangalore, India</text>
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                <text>Lecture Notes in Networks and Systems, Vol-863 LNNS, pp. 141-151.</text>
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                <text>Krivolapova O., North Caucasus Federal University, Stavropol, Russian Federation; Lapin V., North Caucasus Federal University, Stavropol, Russian Federation; Shvedunenko D., North Caucasus Federal University, Stavropol, Russian Federation; Anita E.A.M., CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Blowfish; Cloud computing; Compression; Cryptography; Huffman coding</text>
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                <text>Medical images are considered to be the most sensitive images as it contains various health related sensitive information of an individual and it is necessary for the health care organization to maintain the sensitivity of these images without anybody misusing these data. When these images are transferred digitally through a network in order to store it in cloud for easy access for the authorities of the health care system, it is important to compress and encrypt these images to reduce the size and safeguard the information before storing and make sure that these images are transferred securely. In this paper, we use Huffman Coding technique in order to compress the image for easy transmission and to consume less storage space in cloud. To maintain the confidentiality of these images Blowfish encryption methodology is used. Once the image undergoes compression and encryption, the encrypted image is transferred and stored in a cloud storage.  IAEME Publication.</text>
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                <text>Singh M.L.; Senthilnathan T.</text>
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                <text>International Journal of Mechanical Engineering and Technology, Vol-9, No. 3, pp. 162-173.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044712390&amp;amp;partnerID=40&amp;amp;md5=889ef3d30dcfcfe78b2f98186e329500" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044712390&amp;amp;partnerID=40&amp;amp;md5=889ef3d30dcfcfe78b2f98186e329500&lt;/a&gt;</text>
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                <text>ISSN: 9766340</text>
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                <text>Singh M.L., Christ University, Karnataka, India; Senthilnathan T., Christ University, Karnataka, India</text>
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              <elementText elementTextId="200735">
                <text>Singhal, Abhinav; Saeed, Abdulkafi Mohammed; Chaudhary, Anjali; Seema; Kumar, Pulkit; Das, Soumik</text>
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                <text>Analysis of SH and anti-plane SH wave signals for nanosensor applications using two distinct models of piezoelectric materials lead zirconate titanate</text>
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                <text>01-01-2025</text>
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              <elementText elementTextId="200738">
                <text>ZAMM Zeitschrift fur Angewandte Mathematik und Mechanik;Volume;105;Issue;5;Article No.;e70081;</text>
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                <text>Singhal A., Department of Mathematics, Christ University, Bengaluru, India; Saeed A.M., Department of Mathematics, College of Science, Qassim University, Buraydah, Saudi Arabia; Chaudhary A., Department of Management, College of Business Administration, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia; Seema, Department of Mathematics, Christ University, Bengaluru, India; Kumar P., Centre for Nondestructive Evaluation, Iowa State University, Ames, IA, United States; Das S., School of Physical Sciences, Amrita Vishwa Vidyapeetham, Mysuru Campus, Karnataka, India</text>
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                <text>The primary goal of the current study is to examine the effects of wave propagation on the performance of surface acoustic wave (SAW) macro- and nano-sensors. Therefore, shear horizontal waves (SH) in an orthotropic piezoelectric layer laid on top of an elastic framework (Model I), a piezoelectric substrate, and an orthotropic piezoelectric substrate (Model II) are studied using the surface piezoelectricity theory. The study used a variable-separable methodology. Theoretical forms are developed and used to show the wavenumber of surface waves in any direction of the piezoelectric medium based on the differential equations and matrix formulation. A piezoelectric material half-space with a nano substrate and an orthotropic piezoelectric material layer over an elastic framework are the two configurations that are investigated. Frequency equations are expressed analytically for both symmetric and anti-symmetric waves. The study looks into how phase velocity is affected by surface density, anisotropic piezoelectric constant, surface elastic constants, and symmetric and antisymmetric modes. The study is limited to the propagation of linear waves. Furthermore, the analysis is predicated on the material's surface characteristics and idealized material qualities. Surface effect study is the novelty, which is conducted in the piezoelectric model and its applications in sensors. The findings of this research may be useful in designing SAW devices.  2025 Wiley-VCH GmbH.</text>
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                <text>John Wiley and Sons Inc</text>
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                <text>ISSN: 442267;</text>
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                <text>Restricted Access; Hardcopy may be available in the library</text>
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                <text>Analysis of SH-waves Propagating in Multiferroic Structure with Interfacial Imperfection</text>
              </elementText>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="112664">
                <text>Analytical modeling; Mechanical vibrations; PM (CoFe2O4) material; Reinforced material</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
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              <elementText elementTextId="112665">
                <text>This article presents the study of wave mechanics in a multiferroic structure having imperfection in the structures interface. This article reflects the study of shear horizontal (SH) wave propagation in a layered cylindrical structure consisting of thin layers of different materials (reinforced material and piezomagnetic material) with an imperfect interface. The interface considered between both materials is mechanically imperfect. Dispersion relations are achieved analytically. Distinct graphs are drawn (numerically) to exhibit the influence of parameters like rotation, initial stress, and mechanically imperfect parameters on phase velocity. Numerical results are drawn analytically and explained for each affecting distinct parameters for materials and interface. Parametric results on the phase velocities yield a significant conclusion of which some are: (a) Performance of Piezo with reinforcement material have an influential impact on wave velocity. (b) The mechanical imperfection affects the significantly on wave velocity (c) The Reinforcement/PM stiffening can monotonically up the velocity of phase velocity.  2022 Published by Semnan University Press.</text>
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                <text>Singhal A.; Baroi J.; Sultana M.; Baby R.</text>
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              <elementText elementTextId="112667">
                <text>Mechanics of Advanced Composite Structures, Vol-9, No. 1, pp. 1-10.</text>
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              <elementText elementTextId="112668">
                <text>Semnan University, Faculty of Mechanical Engineering</text>
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            <name>Date</name>
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              <elementText elementTextId="112669">
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                <text>&lt;a href="https://doi.org/10.22075/macs.2021.20627.1266" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.22075/macs.2021.20627.1266&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127508998&amp;amp;doi=10.22075%2Fmacs.2021.20627.1266&amp;amp;partnerID=40&amp;amp;md5=2d66a3202b6d7511a892e9ca682595d0" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127508998&amp;amp;doi=10.22075%2fmacs.2021.20627.1266&amp;amp;partnerID=40&amp;amp;md5=2d66a3202b6d7511a892e9ca682595d0&lt;/a&gt;</text>
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                <text>ISSN: 24234826</text>
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                <text>English</text>
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              <elementText elementTextId="112676">
                <text>Singhal A., School of Sciences, Christ University, Ghaziabad, 201003, India; Baroi J., School of Sciences, Christ University, Ghaziabad, 201003, India; Sultana M., Department of Finance and Economics, Jagdish Sheth School of Management, Bangalore, India; Baby R., School of Sciences, Christ University, Ghaziabad, 201003, India</text>
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            <element elementId="50">
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          <element elementId="39">
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              <elementText elementTextId="223421">
                <text>Manoj, Meby Joseph; Azarudheen, A.</text>
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            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="223422">
                <text>Analysis of skip-lot sampling plan of Type 3 with multiple reference criteria</text>
              </elementText>
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          </element>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="223423">
                <text>01-01-2026</text>
              </elementText>
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            <elementTextContainer>
              <elementText elementTextId="223424">
                <text>Communications for Statistical Applications and Methods;Volume;33;Issue;2;pp.263-275</text>
              </elementText>
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              <elementText elementTextId="223425">
                <text>&lt;a href="https://doi.org/10.29220/CSAM.2026.33.2.263" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.29220/CSAM.2026.33.2.263&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105034936373?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105034936373?origin=resultslist&lt;/a&gt;</text>
              </elementText>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="223426">
                <text>Manoj M.J., Department of Statistics &amp;amp; Data Science, CHRIST (Deemed to be University), India; Azarudheen A., Department of Statistics &amp;amp; Data Science, CHRIST (Deemed to be University), India</text>
              </elementText>
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            <description>An account of the resource</description>
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              <elementText elementTextId="223427">
                <text>In the modern quality control segment, the skip-lot sampling plan is still significant among all others plans due to rising production volumes and the demand for cost-effective inspection methods that will yield high-quality outputs. Unlike other sampling plans, while inspecting a submitted lot, a skip-lot plan is economically advantageous and ensures high quality. The skip-lot sampling plan utilizes single sampling plan (SSP) or double sampling plan (DSP) as the reference plan during both normal and skipping inspections. However, using these plans as the reference can lead to bias, favouring either the producer or the consumer. In this paper, a novel approach is illustrated where the skip-lot sampling plan of type 3 is having the provision of two different reference plans in the normal and skipping phases. The proposed plan is termed as the Multi-Reference Skip-lot Sampling Plan of type 3 (MR-SkSP-3). The plan is then compared with the help of performance measures such as operational characteristic (OC) function and average sample number (ASN). The comparison is done between the proposed plan and existing skip-lot sampling plans which use single sampling plan or double sampling plan as reference plan in both inspection phases. The comparison is made based on performance measures with graphical and tabulated illustrations. The comparative analysis proves that the proposed plan successfully balances the satisfaction of both producers and consumers. By leveraging the strengths of conventional skip-lot sampling plans that use single reference plans, it achieves superior performance.  2026 The Korean Statistical Society, and Korean International Statistical Society. All rights reserved.</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="223428">
                <text>acceptance sampling plan; average sample number; operating characteristic curve; quality control; skip-lot sampling plan</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
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              <elementText elementTextId="223429">
                <text>Korean Statistical Society</text>
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                <text>The study of client behaviour has been revolutionized by the combination of social media marketing with cutting-edge technology like Artificial Intelligence (AI) and Machine Learning (ML) in today's age of digital transformation. This study delves into the complex interplay between AI/ML, consumer involvement, and social media marketing methods. Our research exposes crucial insights via careful data collecting, sentiment analysis, and the construction of prediction models. By stressing the importance of catering content to individual interests, AI-driven customization emerges as a potent tool, increasing user engagement by 18%. Analysis of online sentiment shows how important it is to keep people feeling good about a business; postings with positive feelings get 30% more likes and comments on average. Accurate and time-saving insights from machine learning models provide up new avenues for optimizing marketing's use of available resources. As a result of the study's conclusions, companies will be able to better connect with their customers, use their resources more efficiently, and behave ethically moving forward. Promising new developments in the subject include the next steps, which include sophisticated AI models, temporal dynamics analysis, and investigation of long-term consequences, ethical issues, and multichannel techniques. This study helps companies, marketers, and policymakers better understand the convergence of technology and marketing in today's ever-changing digital world so that they may better serve their customers and build a successful brand over time.   2024 IEEE.</text>
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                <text>Thamaraiselvi P., Business School (MBA), Kumaraguru College of Technology, Tamilnadu, Coimbatore, India; Masih J., School of Management, Bml Munjal University, Haryana, Gurugram, India; Giri P., School of Business And Management, Christ (Deemed To Be University), Delhi NCR, India; Sridevi J., Dr. MG. R. Educational &amp;amp; Research Institute, Management Studies &amp;amp; Dean-Centre of Excellence, India; Karim Shaikh I.A., Faculty of Business, Bahrain Polytechnic, Bahrain; Prasad M.V.R., Gitam School of Business, Gitam (Deemed To Be University), Bangalore, Doddaballapur taluk, Bengaluru, Nagadenahalli, India</text>
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                <text>Analysis of some important fluid flow problems using differential geometry based methods</text>
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                <text>In this thesis we have studies MHD and EMFD flow of viscous and inviscid fluid for different cases when magnetic field and velocity are variably or constantly inclined. In particular magnetic and velocity vector are orthogonal. The pattern of streamlines and magnetic lines are derived in every problem and the effect of density and magnetic permeability on the variation of pressure is studied. The problems studied in this thesis give further investigation on the analytical solution of magnetohydrodynamic and electromagnetic fluid dynamic flow.</text>
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                <text>In this thesis we have studied MHD and EMFD flow of viscous and inviscid fluid for different cases when magnetic field and velocity are variably or constantly inclined. In particular magnetic and velocity vector are orthogonal. The pattern of streamlines and magnetic lines are derived in every problem and the effect of density and magnetic permeability on the variation of pressure is studied. The problems studied in this thesis give further investigation on the analytical solution of magnetohydrodynamic and electromagnetic fluid dynamic flow. The problems that studied analytically in this thesis have possible application in theoretical analysis of fluid dynamics and the analytical findings in this thesis can be applied in engineering fields such as aeronautics, plasmas, liquid metals and salt water or electrolytes. We have studied five problems here in this thesis. These problems are to find analytical solution of different types of fluid flows in the presence of magnetic field. Here we give a brief summary about the problems discussed in detail in this research work. (i) GEOMETRY OF CONSTANTLY INCLINED VISCOUS MHD FLOWS newlineProblems on incompressible MHD flow of viscous and inviscid fluids having newlinefinite or infinite electrical conductivity have been investigated by many researchers newlineusing different transformation methods. Transformation method is applied from newlineone plane to another plane for studying the flows by reducing the order of the equation. In this problem we have studied a viscous MHD flow having infinite electrical conductivity when the magnetic field is inclined to the velocity vector in a constant angle. Hodograph transformation is applied to shift variables from the physical plane to the hodograph plane. Streamlines and magnetic lines are analyzed along with determining the solutions to the flow problems. Finally the newlinepressure variation is analyzed graphically. Flow pattern along with pressure variation, also studied in this problem for an orthogonal MHD flow. </text>
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                <text>Roy, Anirban.</text>
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                <text>R, Hari Baskar</text>
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                <text>In the field of meteorology, temperature forecasting is a significant task as it has been a key factor in industrial, agricultural, renewable energy, and other sectors. High accuracy in temperature forecasting is needed for decision-making in advance. Since temperature varies over time and has been studied to have non-trivial long-range correlation, non-linear behavior, and seasonal variability, it is important to implement an appropriate methodology to forecast accurately. In this paper, we have reviewed the performance of statistical approaches such as AR and ARIMA with RNN, LSTM, GRU, and LSTM-RNN Deep Learning models. The models were tested for short-term temperature forecasting for a period of 48 hours. Among the statistical models, the AR model showed notable performance with a r2 score of 0.955 for triennial 1 and for the same, the Deep Learning models also performed nearly equal to that of the statistical models and thus hybrid LSTM-RNN model was tested. The hybrid model obtained the highest r2 score of 0.960. The difference in RMSE, MAE and r2 scores are not significantly different for both Statistical and Vanilla Deep Learning approaches. However, the hybrid model provided a better r2 score, and LIME explanations have been generated for the same in order to understand the dependencies over a point forecast. Based on the reviewed results, it can be concluded that for short-term forecasting, both Statistical and Deep Learning models perform nearly equally.  2024 Bentham Science Publishers.</text>
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                <text>Kruthika S.G.; Rajasekaran U.; Alagarsamy M.; Sharma V.</text>
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                <text>Kruthika S.G., Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Tamil Nadu, Madurai, India; Rajasekaran U., Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Tamil Nadu, Madurai, India; Alagarsamy M., Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Tamil Nadu, Madurai, India; Sharma V., Department of Computational Sciences, CHRIST (Deemed to be University), NCR, Delhi, India</text>
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                <text>Conjoint analysis; Part-worth utilities; Performance attributes; Relative preference analysis; Students evaluation of teaching (SET)</text>
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                <text>Faculty evaluation is widely used not only for the appraisal of their performance, but also for curriculum innovation and development. There are many techniques to perform faculty evaluation. But these techniques do not address all the factors essential for evaluating a faculty. These evaluations are subjective in nature and found to be controversial as students' expectations vary. This hinders the main motive of faculty evaluation. To overcome this problem, there is a need to identify a suitable method to perform faculty evaluation. In this paper, the Conjoint Analysis, a mathematical statistics technique is used to analyze the major aspects that the students are expecting from their faculty. This technique increases the fairness in the appraisal process so that teaching can be made fun and effective. This research is a novel attempt that applies conjoint analysis to identify the major aspects of teaching in students' perspective. The proposed idea can be adapted to any domain where the customers' choice is valued particularly in Cloud computing services.  2019 Mithula G P, Arokia Paul Rajan R.</text>
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                <text>TEM Journal, Vol-8, No. 2, pp. 630-635.</text>
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                <text>Mithula G.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Rajan R.A.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India</text>
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