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                <text>A thorough investigation of various goals and responses for mobile software-defined networks</text>
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                <text>Cloud computing has caused some companies to modify their IT infrastructure and maintenance procedures and may eliminate their current hardware altogether. Conventional methods of setting up a switch or router may be error-prone and unable to make full use of the capabilities of current network architectures. As many intelligent networking designs as possible must be developed for intellectualization, activation, and customization in future networks. Due to software-defined networking (SDN) technology, it's possible to control, secure, and optimize network resources, eliminating the rigid coupling between the control plane and the data plane in traditional network architectures. Here, the chapter explores the problems, difficulties, and potential solutions associated with software-defined networks (SDN), a novel concept in computer networking. Through SDN, the network gains the ability to be programmable, quick, and adaptable thanks to its separation of data and its ability to control traffic.  2023, IGI Global. All rights reserved.</text>
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                <text>Sahu S.K.; Chandra J.; Muloor K.; Samanta D.</text>
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                <text>Designing and Developing Innovative Mobile Applications, pp. 307-328.</text>
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                <text>&lt;a href="https://doi.org/10.4018/978-1-6684-8582-8.ch017" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/978-1-6684-8582-8.ch017&lt;/a&gt;
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                <text>ISBN: 978-166848584-2; 978-166848582-8</text>
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                <text>Sahu S.K., LTI, India; Chandra J., CHRIST University (Deemed), India; Muloor K., CHRIST University (Deemed), India; Samanta D., Rochester Institute of Technology, Serbia</text>
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                <text>A Thorough Review of Deep Learning in Autism Spectrum Disorder Detection: From Data to Diagnosis</text>
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                <text>ABIDE dataset; ASGCN (adaptive spatiotemporal; atlases; autism spectrum disorder (ASD); comprehensive review; Deep learning; electroencephalography (EEG); graph convolution network); LeNet; neuroimaging modalities; preprocessing tools; resting-state functional magnetic resonance imaging (rsfMRI); structural MRI (sMRI); task-based fMRI (tfMRI)</text>
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                <text>Background: Autism Spectrum Disorder (ASD) is a multifaceted neurodevelop-mental condition with significant heterogeneity in its clinical presentation. Timely and precise identification of ASD is crucial for effective intervention and assistance. Recent advances in deep learning techniques have shown promise in enhancing the accuracy of ASD detection. Objective: This comprehensive review aims to provide an overview of various deep learning methods employed in detecting ASD, utilizing diverse neuroimaging modalities. We analyze a range of studies that use resting-state functional Magnetic Resonance Imaging (rsfMRI), structural MRI (sMRI), task-based fMRI (tfMRI), and electroencephalography (EEG). This paper aims to assess the effectiveness of these techniques based on criteria such as accuracy, sensitiv-ity, specificity, and computational efficiency. Methods: We systematically review studies investigating ASD detection using deep learning across different neuroimaging modalities. These studies utilize various preprocessing tools, at-lases, feature extraction techniques, and classification algorithms. The performance metrics of interest include accuracy, sensitivity, specificity, precision, F1-score, recall, and area under the curve (AUC). Results: The review covers a wide range of studies, each with its own dataset and methodolo-gy. Notable findings include a study employing rsfMRI data from ABIDE that achieved an accuracy of 80% using LeNet. Another study using rsfMRI data from ABIDE-II achieved an im-pressive accuracy of 95.4% with the ASGCN deep learning model. Studies utilizing different modalities, such as EEG and sMRI, also reported high accuracies ranging from 74% to 95%. Conclusion: Deep learning-based approaches for ASD detection have demonstrated significant potential across multiple neuroimaging modalities. These methods offer a more objective and data-driven approach to diagnosis, potentially reducing the subjectivity associated with clinical evaluations. However, challenges remain, including the need for larger and more diverse da-tasets, model interpretability, and clinical validation. The field of deep learning in ASD diagnosis continues to evolve, holding promise for early and accurate identification of individuals with ASD, which is crucial for timely intervention and support.  2024 Bentham Science Publishers.</text>
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                <text>Lamani M.R.; Pernabas J.B.</text>
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                <text>Recent Advances in Computer Science and Communications, Vol-17, No. 8, pp. 73-91.</text>
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                <text>&lt;a href="https://doi.org/10.2174/0126662558284886240130154414" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.2174/0126662558284886240130154414&lt;/a&gt;
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                <text>ISSN: 26662558</text>
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                <text>Lamani M.R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Pernabas J.B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India</text>
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                <text>Chakraborty, Arkaprovo; Veeresha, P.; Trounev, Alexander; Jana, Debaldev</text>
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                <text>A Three-Species Model With Predator-Taxis Sensitivity: Hopf Bifurcation and Active Control Stabilization</text>
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                <text>Mathematical Methods in the Applied Sciences;Volume;49;Issue;4;pp.2358-2370</text>
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                <text>&lt;a href="https://doi.org/10.1002/mma.70256" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/mma.70256&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105019673134?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105019673134?origin=resultslist&lt;/a&gt;</text>
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                <text>Chakraborty A., Center for Mathematical Needs, Department of Mathematics, CHRIST University, Bengaluru, India; Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST University, Bengaluru, India; Trounev A., Department of Mathematics, Kuban State Agrarian University, Krasnodar, Russian Federation; Jana D., Department of Mathematics, Ramakrishna Mission Vivekananda Educational and Research Institute, West Bengal, Howrah, India</text>
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                <text>This study presents an analysis of a novel fractional two preyone predator model incorporating predator-taxis sensitivity. We conduct a comprehensive stability analysis, explore the model's chaotic nature through period-doubling bifurcations, and also show the existence of limit cycles through fractional Hopf bifurcation. It is observed that the fractional-order parameter brings in a stabilizing effect and, simultaneously, a shift of the Hopf bifurcation point. At the Hopf bifurcation point, the system moves from stable equilibria to sustained oscillations. In addition, regardless of initial conditions, the system approaches a stable limit cycle, showing the robustness of the method. We also demonstrate the effectiveness of the active control method to eliminate the periodicity of the fractional system and also unravel the decelerating influence of the fractional-order parameter on the convergence time to equilibrium. These results provide valuable insights into the stabilization of ecosystem dynamics and contribute more broadly to our understanding of population dynamics in ecological systems.  2025 John Wiley &amp;amp; Sons Ltd.</text>
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                <text>active control method; fear effect; fractional Hopf bifurcation; predator-taxis sensitivity; stability analysis</text>
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                <text>The proteins of Nipah virus ascribe to its lifecycle and are crucial to infections caused by the virus. In the absence of approved therapeutics, these proteins can be considered as drug targets. This study examined the potential of fifty-three (53) natural compounds to inhibit Nipah virus fusion glycoprotein (NiV F) and matrix protein (NiV M) in silico. The molecular docking experiment, supported by the principal component analysis (PCA), showed that out of all the phytochemicals considered, Tribulusamide B had the highest inhibitory potential against the target proteins NiV F and NiV M (-9.21 and ?8.66 kcal mol?1, respectively), when compared to the control drug, Ribavirin (-7.01 and ?6.52 kcal mol?1, respectively). Furthermore, it was found that Tribulusamide B pharmacophores, namely, hydrogen donors, acceptors, aromatic and hydrophobic groups, contributed towards the effective residual interactions with the target proteins. The molecular dynamic simulation further validated the results of the docking studies and concluded that Tribulusamide B formed a stable complex with the target proteins. The data obtained from MM-PBSA study further explained that the phytochemical could strongly bind with NiV F (-31.26 kJ mol?1) and NiV M (-40.26 kJ mol?1) proteins in comparison with the control drug Ribavirin (-13.12 and ?13.94 kJ mol?1, respectively). Finally, the results indicated that Tribulusamide B, a common inhibitor effective against multiple proteins, can be considered a potential therapeutic entity in treating the Nipah virus infection.  2024 Elsevier Ltd</text>
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On the other side, there are also some disadvantages to using cloud computing that must be considered. In the cloud, the customer may not have the kind of control over their data or the performance of the applications that they need, or the ability to audit or change the processes and policies under which users must work. 

The security of cloud, and associated privacy concerns, give many organizations pause as they think through their particular cloud computing concerns. Security and privacy concerns include physical security and simple access to facilities and equipment, as well as logical security, industry compliance requirements, audit ability, and more. 

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                <text>Adhikari S., Department of Chemistry, Govt. Degree College, Tripura, Dharmanagar, (N)-799253, India; Nath S., Department of Chemistry, Govt. Degree College, Tripura, Dharmanagar, (N)-799253, India, Department of Chemistry and Vivekananda Centre for Research, Ramakrishna Mission Residential College, Narendrapur, Kolkata, 700103, India; Saha K., Department of Chemistry, Jadavpur University, West Bengal, Kolkata, 700032, India; Baildya N., Department of Chemistry, Milki High School, Milki, Malda, 732209, India; Kaminsky W., Department of Chemistry, University of Washington, Seattle, 98195, Washington, United States; Kumar M.S., Department of Chemistry, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India; Roy S., Department of Chemistry, The ICFAI University Tripura, Kamalghat, Mohanpur, Tripura, Agartala, 799210, India; Das A.K., Department of Chemistry, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India</text>
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                <text>Heavy metal pollution, particularly from cadmium(ii) ions (Cd2+), causes severe environmental and health risks due to its acute toxicity, carcinogenicity, and bioaccumulation, leading to kidney damage, neurological disorders, and other physiological issues. Herein, we report the one-pot synthesis of a bis-hydrazone-based fluorescent probe L2H2O (1) for selective detection of Cd2+. Probe 1 was derived from isophthalaldehyde and 3-pyridylcarbonyl hydrazine and single-crystal X-ray diffraction discloses a well-defined binding pocket with pyridyl, imine, and carbonyl donor sites suitable for Cd2+ coordination. Probe 1 exhibits weak emission in CH3CN/HEPES buffer (9?:?1, v/v, pH 7.4) due to photoinduced electron transfer (PET) and unrestricted intramolecular rotations. Upon selective binding to Cd2+, 1 displays a pronounced turn-on fluorescence response with intensity enhancements of at ?324 nm and at 420 nm, accompanied by bathochromic shifts to 327 nm (?? = 3 nm) and 445 nm (?? = 25 nm) (?ex = 295 nm). The limit of detection (LOD) for probe 1 with metal Cd2+ is 3.39 M, with a binding constant of 5 103 M?1. 1H NMR titration, DFT-optimized geometries (B3LYP/6-31+G(d)/LANL2DZ), and simulated UV-Vis spectra further confirm binding of Cd2+, blocking PET and rigidifying the structure via chelation-enhanced fluorescence (CHEF). This work presents a modular hydrazone scaffold for developing selective Cd2+ sensors with potential application in environmental and biological monitoring.  The Royal Society of Chemistry and the Centre National de la Recherche Scientifique, 2026.</text>
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                <text>Royal Society of Chemistry</text>
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                <text>ISSN: 11440546; CODEN: NJCHE</text>
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                <text>Restricted Access; Hardcopy may be available in the library</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="183118">
                <text>A Two-Pass Hybrid Mean and Median Framework for Eliminating Impulse Noise From a Grayscale Image</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="183119">
                <text>Image Noise Cancellation; Image processing; Image Restoration; Salt and Pepper Noise; Visual quality</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="183120">
                <text>In a digital era, Image recuperation plays a vital role in the area of digital image processing. Image instauration offers more visualization on the quality of the image thereby eliminating noise. Elimination of Gaussian and impulse noise is a challenging problem in the area of image restoration. Rigorous research is pursued to restore salt-and-pepper (SAP) noise utilizing spatial filters. Mean and Median are two contributing spatial filters for eliminating impulse noise. This paper applies a two-pass hybrid mean and median framework on a corrupted grayscale image to replace salt and pepper noise. The hybrid framework is effectively restoring the image by abstracting the low, medium, and high-density impulse noise. The efficacy of the recommended strategy is evaluated by quantifying the peak signal to noise ratio and structural similarity index metric. The result obtained when compared with recent recuperation strategies outperforms to remove noise from grayscale images.  2021 IEEE</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="183121">
                <text>Shiju Thomas M.Y.; Krishna A.V.N.</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="183122">
                <text>ACCESS 2021 - Proceedings of 2021 2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems, pp. 206-210.</text>
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            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="183123">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
              </elementText>
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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="183124">
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                <text>&lt;a href="https://doi.org/10.1109/ACCESS51619.2021.9563285" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ACCESS51619.2021.9563285&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126264458&amp;amp;doi=10.1109%2FACCESS51619.2021.9563285&amp;amp;partnerID=40&amp;amp;md5=70fe12740afbbfdd912b2f5f8253ef8b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126264458&amp;amp;doi=10.1109%2fACCESS51619.2021.9563285&amp;amp;partnerID=40&amp;amp;md5=70fe12740afbbfdd912b2f5f8253ef8b&lt;/a&gt;</text>
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          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="183126">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
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            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="183127">
                <text>ISBN: 978-172817136-4</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="183128">
                <text>Online</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="183129">
                <text>English</text>
              </elementText>
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          </element>
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            <description>The nature or genre of the resource</description>
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                <text>Conference paper</text>
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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>
            <elementTextContainer>
              <elementText elementTextId="183131">
                <text>Shiju Thomas M.Y., Department of Computer Science and Engineering, School of Engineering and Technology Christ (Deemed to be) University, Karnataka, Bangalore, India; Krishna A.V.N., Department of Computer Science and Engineering, School of Engineering and Technology Christ (Deemed to be) University, Karnataka, Bangalore, India</text>
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  <item itemId="16404" public="1" featured="0">
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              <elementTextContainer>
                <elementText elementTextId="64">
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      <name>Article</name>
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        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126325">
                <text>A two-stepped feature engineering process for topic modeling using batchwise LDA with stochastic variational inference model</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126326">
                <text>Feature engineering; Feature engineering; Hierarchical dirichlet process; Latent dirichlet allocation; Latent semantic analysis; Sentiment analysis; Stochastic variational inference; Topic modeling; Vector space model</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126327">
                <text>Online ratings and customer feedback on hotel booking websites support the decision-making process of the customer as the reviews provide a deeper understanding about all aspects of a hotel. Consequently, review and rating analyses are of great interest to consumers and hotel owners for the hotel related social media services. The key challenge, however, is to make the wide variety of information accessible in a simple, fast and relevant way and the solution is Topic Modelling and Opinion Mining. Common approaches like Latent Semantic Analysis (LSA) and Hierarchical Dirichlet Process (HDP) have order affects. If the input dataset is shuffled then different topics are generated leading to misleading results. To overcome this, a two-stepped feature engineering process is used: first step is to use a TF-IDF with modified trigrams calculation followed by the second step in removing weak features from the corpus thereby reducing the dimensionality of the Vector Space Model (SVM) for efficient Topic Modeling and sentiment analysis of the considered corpus. Sentiment score is calculated using VADER tool and Topic Modeling is done with Batch Wise Latent Dirichlet Allocation (LDA) using Stochastic Variational Inference (SVI) model. The modified trigrams included calculation of probabilities of words not only in the backward direction but also the probability calculation of the next two words of the target word thereby retaining its context information. The proposed method using Batchwise LDA with SVI along with two-stepped feature engineering process considerably improved its performance when compared to LSA and HDP models due to the fact of identifying hidden and relevant topics in terms of their optimized posterior distribution in hotel reviews dataset. The Batchwise LDA with SVI improved its performance by 3% in terms of its coherence values by using two-stepped feature engineering process and by 9% and 4% increase when compared with LSA and HDP models respectively.  2020, Intelligent Network and Systems Society.</text>
              </elementText>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126328">
                <text>Kokatnoor S.A.; Krishnan B.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="126329">
                <text>International Journal of Intelligent Engineering and Systems, Vol-13, No. 4, pp. 333-345.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="126330">
                <text>Intelligent Network and Systems Society</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126331">
                <text>2020-01-01</text>
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            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="126332">
                <text>&lt;a href="https://doi.org/10.22266/IJIES2020.0831.29" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.22266/IJIES2020.0831.29&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089491901&amp;amp;doi=10.22266%2FIJIES2020.0831.29&amp;amp;partnerID=40&amp;amp;md5=eb171c5da699c51d12106aedd99ea9d4" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089491901&amp;amp;doi=10.22266%2fIJIES2020.0831.29&amp;amp;partnerID=40&amp;amp;md5=eb171c5da699c51d12106aedd99ea9d4&lt;/a&gt;</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126333">
                <text>All Open Access; Bronze Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
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              <elementText elementTextId="126334">
                <text>ISSN: 2185310X</text>
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            </elementTextContainer>
          </element>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="126335">
                <text>Online</text>
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            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126336">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="126337">
                <text>Article</text>
              </elementText>
            </elementTextContainer>
          </element>
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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>
            <elementTextContainer>
              <elementText elementTextId="126338">
                <text>Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India</text>
              </elementText>
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  <item itemId="13189" public="1" featured="0">
    <collection collectionId="5">
      <elementSetContainer>
        <elementSet elementSetId="1">
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="64">
                  <text>Articles</text>
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              </elementTextContainer>
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          </elementContainer>
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    <itemType itemTypeId="19">
      <name>Article</name>
      <description>Faculty Publications -Articles</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="81574">
                <text>A uGMRT search for radio emission from planets around evolved stars</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="81575">
                <text>exoplanets; planets and satellites: aurorae; planets and satellites: detection; planets and satellites: gaseous planets; radio continuum: planetary systems; radio continuum: stars</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="81576">
                <text>In this work, we present the results from a study using the Giant Meterwave Radio Telescope (GMRT) to search for radio emission from planets around three evolved stars namely ? Tau, ? UMi, and ? Gem. Both ? Tau and ? UMi host massive ? 6 MJ mass planets at about ?1.4 au from the central star, while ? Gem is host to a 2.9 MJ mass planet at 1.7 au from the host star. We observe ? Tau and ? UMi at two upgraded GMRT bands: band 3 (250500 MHz) and band 4 (550900 MHz). We also analysed the archival observations from ? Gem at 150 MHz from GMRT. We did not detect any radio signals from these systems. At 400 MHz, the 3? upper limit is 87 ?Jy beam?1 for ? Tau b and 77.4 ?Jy beam?1 for ? UMi b. From our observations at 650 MHz, we place a 3? upper limit of 28.2 ?Jy beam?1 for ? Tau b and 33.6 ?Jy beam?1 for ? UMi b. For ? Gem b, at 150 MHz, we place an upper limit of 2.5 mJy. At 400 and 650 MHz, our observations are the deepest radio images for any exoplanetary system.  The Author(s) 2024.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="81577">
                <text>Narang M.; Puravankara M.; Ishwara Chandra C.H.; Banerjee B.; Tyagi H.; Tamura M.; Henning T.; Mathew B.; Lazio J.; Surya A.; Nayak P.K.</text>
              </elementText>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="81578">
                <text>Monthly Notices of the Royal Astronomical Society, Vol-529, No. 2, pp. 1161-1168.</text>
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            <name>Publisher</name>
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            <elementTextContainer>
              <elementText elementTextId="81579">
                <text>Oxford University Press</text>
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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="81580">
                <text>2024-01-01</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="81581">
                <text>&lt;a href="https://doi.org/10.1093/mnras/stae536" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1093/mnras/stae536&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187227976&amp;amp;doi=10.1093%2Fmnras%2Fstae536&amp;amp;partnerID=40&amp;amp;md5=9120f146a115a4b5729a163186fdcb1b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187227976&amp;amp;doi=10.1093%2fmnras%2fstae536&amp;amp;partnerID=40&amp;amp;md5=9120f146a115a4b5729a163186fdcb1b&lt;/a&gt;</text>
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          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="81582">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
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                <text>Narang M., Academia Sinica Institute of Astronomy and Astrophysics, 11F of Astro-Math Bldg, No.1, Section 4, Roosevelt Rd, Taipei, 10617, Taiwan, Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India; Puravankara M., Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India; Ishwara Chandra C.H., National Centre for Radio Astrophysics, TIFR, Post Bag 3, Ganeshkhind, Pune, 411007, India; Banerjee B., Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India; Tyagi H., Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India; Tamura M., University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan, Astrobiology Center, 2-21-1, Osawa, Mitaka, Tokyo, 181-8588, Japan, National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo, 181-8588, Japan; Henning T., Max-Planck-Institut f Astronomie, Kigstuhl 17, Heidelberg, D-69117, Germany; Mathew B., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560034, India; Lazio J., Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91106, CA, United States; Surya A., Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India; Nayak P.K., Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai, 400005, India, Institute of Astrophysics, Pontificia Universidad Catica de Chile, Av. Vicu MacKenna 4860, Santiago, 7820436, Chile</text>
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                <text>A Unified Approach to Predict and Understand Acute Myeloid Leukemia Diagnosis</text>
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                <text>Acute myeloid leukemia (AML) is a rapidly progressing disease that affects myeloid cells in blood and bone marrow. These abnormal cancerous cells called blast cells are non-functional cells that increase rapidly in bone marrow and are released into blood stream which crowd out the healthy functional cells leading to weak immune system. This life-threatening disease needs to be diagnosed at early stage and hence requires fully automated system for early detection of leukemia to aid pathologists and doctors. Most of the automated machine learning and AI models are not transparent and require techniques to explain model prediction. This paper presents methods to classify blood microscopic images into healthy or acute myeloid leukemia. Among all the methods implemented, Gradient Boosting outperforms with an accuracy of 96.67%. This paper also focuses on explainable AI to interpret model prediction and feature importance which further helps in understanding decision-making process of classification model and optimize it.  2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Lecture Notes in Electrical Engineering, Vol-1098, pp. 233-242.</text>
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                <text>ISSN: 18761100; ISBN: 978-981997382-8</text>
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                <text>Patil A.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Hiremath M., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Pawar V., Department of Computer Applications, CMR Institute of Technology, Bengaluru, India</text>
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                <text>A Unified Approach to Two-Dimensional Brinkman-Bard Convection of Newtonian Liquids in Cylindrical and Rectangular Enclosures</text>
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                <text>BrinkmanBard convection; cylindrical and rectangular geometries; onset of convection</text>
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                <text>A unified model for the analysis of two-dimensional BrinkmanBard/RayleighBard/ DarcyBard convection in cylindrical and rectangular enclosures ((Formula presented.)) saturated by a Newtonian liquid is presented by adopting the local thermal non-equilibrium ((Formula presented.)) model for the heat transfer between fluid and solid phases. The actual thermophysical properties of water and porous media are used. The range of permissible values for all the parameters is calculated and used in the analysis. The result of the local thermal equilibrium ((Formula presented.)) model is obtained as a particular case of the (Formula presented.) model through the use of asymptotic analyses. The critical value of the Rayleigh number at which the entropy generates in the system is reported in the study. The analytical expression for the number of Bard cells formed in the system at the onset of convection as a function of the aspect ratio, (Formula presented.), and parameters appearing in the problem is obtained. For a given value of (Formula presented.) it was found that in comparison with the case of (Formula presented.), more number of cells manifest in the case of (Formula presented.). Likewise, smaller cells form in the (Formula presented.) problem when compared with the corresponding problem of (Formula presented.). In the case of (Formula presented.), fewer cells form when compared to that in the case of (Formula presented.) and (Formula presented.). The above findings are true in both (Formula presented.) and (Formula presented.). In other words, the presence of a porous medium results in the production of less entropy in the system, or a more significant number of cells represents the case of less entropy production in the system. For small and finite (Formula presented.), the appearance of the first cell differs in the (Formula presented.) and (Formula presented.) problems.  2023 by the authors.</text>
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                <text>Siddheshwar P.G.; Lakshmi K.M.; Laroze D.</text>
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                <text>Entropy, Vol-26, No. 1</text>
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                <text>&lt;a href="https://doi.org/10.3390/e26010002" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3390/e26010002&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183090298&amp;amp;doi=10.3390%2Fe26010002&amp;amp;partnerID=40&amp;amp;md5=67dac90c7fe10c011aefe45dcef22d04" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183090298&amp;amp;doi=10.3390%2fe26010002&amp;amp;partnerID=40&amp;amp;md5=67dac90c7fe10c011aefe45dcef22d04&lt;/a&gt;</text>
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                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>Siddheshwar P.G., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to Be University), Hosur Road, Bengaluru, 560029, India; Lakshmi K.M., Department of Mathematics, School of Physical Sciences, Central University of Karnataka, Kalaburagi, 585367, India; Laroze D., Instituto de Alta Investigaci, Universidad de Tarapac Casilla 7D, Arica, 1000000, Chile</text>
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                <text>A unifying computational framework for fractional Gross-Pitaevskii equations</text>
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                <text>caputo derivative; gross-pitaevskii equations; laplace transform; q-homotopy analysis method</text>
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                <text>This paper concerns investigating the complex behaviour of the special case of Schringer equation called Gross-Pitaevskii (GP) equations using -homotopy analysis transform method (-HATM) with fractional order. Based on denticity function and different initial conditions, we consider three different examples to demonstrate the proficiency of -HATM. We consider different initial conditions for the hired system and the projected method is elegant unification of -homotopy analysis algorithm and Laplace transform. Further, the physical natures of the achieved results have been captured for change in space, time, homotopy parameter and fractional order in terms of contour and surface plots, and the accuracy is presented with the numerical study. The obtained results conclude that, the hired technique is highly methodical, easy to implement and accurate to examine the behaviour of the nonlinear equations of both fractional and integer order describing allied areas of science.   2021 IOP Publishing Ltd.</text>
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                <text>Physica Scripta, Vol-96, No. 12</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117128585&amp;amp;doi=10.1088%2F1402-4896%2Fac28c9&amp;amp;partnerID=40&amp;amp;md5=1f141ec661b779c86bab87451124021b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117128585&amp;amp;doi=10.1088%2f1402-4896%2fac28c9&amp;amp;partnerID=40&amp;amp;md5=1f141ec661b779c86bab87451124021b&lt;/a&gt;</text>
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                <text>Veeresha P., Centre for Mathematical Needs, Department of Mathematics, CHRIST, Deemed to Be University, Bengaluru, 560029, India; Baleanu D., Department of Mathematics, Faculty of Arts and Sciences, Cankaya University, Eskisehir Yolu 29. Km, Yukariyurtcu Mahallesi Mimar Sinan Caddesi, Etimesgut, 406790, Turkey, Institute of Space Sciences, Magurele-Bucharest, Romania</text>
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                <text>A USB- bluetooth two factor mutual authentication security protocol for wireless sensor networks</text>
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                <text>Bluetooth; Key agreement; Two factor mutual authentication; USB; Wireless sensor networks; WSN</text>
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                <text>Wireless sensor networks are easy to deploy, effective, and can monitor unattended environments. As the data transmitted through these networks is highly sensitive, the security of the networks is important and strong authentication measures must be in place. Authentication is done by means of a security protocol, wherein a user is authenticated through certain factors such as a smartcard or a password, and several mathematical calculations such as hashing, and XOR operations. Several previously proposed authentication protocols and their flaws are discussed in this paper. We propose a new two factor mutual authentication protocol using a USB-Bluetooth token as the second factor, to overcome the security flaws seen in previous schemes. We also provide security analysis as well as Scyther results in support of the proposed protocol. The proposed protocol can be used across various fields such as healthcare, agriculture, traffic monitoring etc.  BEIESP.</text>
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                <text>Thomas P.E.; Binu S.</text>
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                <text>International Journal of Recent Technology and Engineering, Vol-8, No. 1, pp. 1804-1810.</text>
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                <text>Blue Eyes Intelligence Engineering and Sciences Publication</text>
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                <text>2019-01-01</text>
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                <text>Restricted Access</text>
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                <text>ISSN: 22773878</text>
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                <text>Thomas P.E., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Binu S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India</text>
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              <elementText elementTextId="272840">
                <text>Varshini, R. Loga; Ragesh, K.; Ramkumar, K.; Vel, R. Arun Shai Saravana; Kumar, R. Bharani Raj; Saravanan, M.</text>
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                <text>A Verilog-Based Design Framework for Real-Time Edge Detection in Image Processing</text>
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                <text>01-01-2025</text>
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                <text>Proceedings of International Conference on Digital Innovations for Sustainable Solutions, ICDISS 2025;</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICDISS68238.2025.11320708" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICDISS68238.2025.11320708&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105033585274?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105033585274?origin=resultslist&lt;/a&gt;</text>
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                <text>Varshini R.L., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India; Ragesh K., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India; Ramkumar K., School of Engineering and Technology, Christ (Deemed to be University), Bengaluru, India; Vel R.A.S.S., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India; Kumar R.B.R., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India; Saravanan M., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India</text>
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                <text>This article details the design process of a real-time image processing system developed in Verilog. The design has proven highly effective in real-time image acquisition, buffering, and processing, with a focus on hardware and performance optimization. The principal modules are a line buffer for image frame storage, a convolution engine featuring edge detection filters such as Sobel and Prewitt, and a control unit responsible for data flow and synchronization. The architecture facilitates the transmission of image data from a camera, with processed images transmitted via VGA/HDMI interfaces. Focus is placed on attaining low latency, high throughput, and optimal utilization of FPGA platform resources. The technology is particularly relevant for autonomous systems, medical imaging, industrial automation, and surveillance, where real-time edge detection is crucial for decision-making. 2025 IEEE.</text>
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                <text>Edge Detection; FPGA; Hardware Acceleration; Hardware Design; High-Throughput Architecture; Image Processing; Line Buffer; Low Latency; Parallel Processing; Real-Time Image Processing; Real-Time Processing; Verilog; VGA/HDMI Output</text>
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              <elementText elementTextId="272848">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 979-833155641-9;</text>
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              <elementText elementTextId="272852">
                <text>Restricted Access; Hardcopy may be available in the library</text>
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