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                <text>International Journal of Artificial Intelligence &amp; Applications Vol.4, No.1, pp.105-115                                                                          ISSN No. 0975-900X (O)   0976-2191 (P)</text>
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                <text>ALT speech; Disordered speech; DREL noise; Formant frequency; Healthy speech (HE speech); Spectral Tilt</text>
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                <text>Human Beings use voice as the medium for communication. Human Speech is a very complex signal with multiple frequencies, amplitudes and intensities that mix up to convey specific information. In international terminology, voice disorders are described as dysphonia. Various dysphonias are clearly organic origin due to nervous, muscular, neuro or cellular degenerative disease affecting the body or it is from local laryngeal changes. Other dysphonias having no visible laryngeal causes are grouped as non organic involving habitual dysphonias that arise from faulty speaking habits or the psycho genic dysphonias that stem from emotional causes. This paper looks at a speech recognition system for disordered speech generated by Physically Disabled people using Artificial Larynx Transducer (ALT) device from the perspective of Speech Signal Processing. From the ALT speech features like formant, pitch and spectral tilt is estimated. For formant frequency estimation RNN technique is used. Before training the system pitch frequency improvement is accomplished. Now the features and homomorphic based coefficients are used for training the system. The same operation is performed during the test phase and compared with the training set. Comparison and decision making is accomplished using distance estimator. BEIESP.</text>
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                <text>Inbanila K.; Krishnakumar E.</text>
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                <text>International Journal of Engineering and Advanced Technology, Vol-8, No. 6, pp. 3556-3561.</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 22498958</text>
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                <text>Inbanila K., CHRIST (Deemed to be University), Bangalore, Karnataka, India; Krishnakumar E., East Point College of Engineering and Technology, Avalahalli, Bengaluru, Karnataka, India</text>
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                <text>Alternate models to dark energy</text>
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                <text>Dark energy; Dark matter; Varying gravitational constant; Varying proton mass</text>
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                <text>One of the unresolved questions currently in cosmology is that of the non-linear accelerated expansion of the universe. This has been attributed to the so called Dark Energy (DE). The accelerated expansion of the universe is deduced from measurements of Type Ia supernovae. Here we propose alternate models to account for the Type Ia supernovae measurements without invoking dark energy.  2017 COSPAR</text>
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                <text>Advances in Space Research, Vol-61, No. 1, pp. 567-570.</text>
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                <text>Alzheimer's Disease Detection using Machine Learning: A Review</text>
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                <text>alzheimer's disease; machine Learning; pathologically proven data; support vector machine; transfer learning</text>
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                <text>Alzheimer's is a progressive brain disorder which is an untreatable, and inoperable and mostly affect the elderly people. There is a new case of Alzheimer's disease being discovered globally in every four seconds. The outcome is fatal, as it results in death. Timely identification of Alzheimer's disease can be beneficial for us to get necessary care and possibly even avert brain tissue damage by the time. Effective automated techniques are required for detecting Alzheimer's disease at very early stage. Researchers use a variety of novel approaches to classify Alzheimer's disease. machine learning, an AI branch use probabilistic technique that allow system to acquire knowledge from huge amount of data. In this paper we represent a analysis report of the work which is done by researcher in this field. Research has achieved quite promising prediction accuracies however they were evaluated the the non-existent datasets from various imaging modalities which makes it difficult to make the fair comparison with the other methods comparison among them. In this paper, we conducted a study on the effectiveness of using human brain MRI scans to detect Alzheimer's disease and ended with a future discussion of Alzheimer's research trends.   2021 IEEE.</text>
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                <text>Dahiya S.; Vijayalakshmi S.; Sabharwal M.</text>
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                <text>Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021, pp. 288-293.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Dahiya S., Galgotias University, School of Computing Science and Engineering, Greater Noida, India; Vijayalakshmi S., Christ University, Department of Data Science, Lavasa, India; Sabharwal M., Galgotias University, School of Computing Science, Greater Noida, India</text>
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                <text>Amberlite-15 promoted an unprecedented aza Michael rearrangement for one pot synthesis of dihydroquinazolinone compounds</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="135762">
                <text>A new one pot multicomponent annulation strategy for the synthesis of various dihydroquinazolinone compounds has been developed using Amberlite-15 as a catalyst, giving good to moderate yields. In this reaction the substrate scope for amines and aldehydes was also investigated. The reaction has been checked on a large scale and the possible reaction mechanism has also been proposed.  The Royal Society of Chemistry 2018.</text>
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              <elementText elementTextId="135763">
                <text>Murthy V.N.; Nikumbh S.P.; Tadiparthi K.; Madhubabu M.V.; Jammula S.R.; Rao L.V.; Raghunadh A.</text>
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              <elementText elementTextId="135764">
                <text>RSC Advances, Vol-8, No. 40, pp. 22331-22334.</text>
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              <elementText elementTextId="135765">
                <text>Royal Society of Chemistry</text>
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                <text>&lt;a href="https://doi.org/10.1039/c8ra03308k" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1039/c8ra03308k&lt;/a&gt;
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              <elementText elementTextId="135768">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>ISSN: 20462069; CODEN: RSCAC</text>
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              <elementText elementTextId="135771">
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                <text>Murthy V.N., Technology Development Centre, Custom Pharmaceutical Services, Dr Reddy's Laboratories Ltd, Hyderabad, 500049, India, Department of Chemistry, GIS, Gitam University, Visakhapatnam, 530045, India; Nikumbh S.P., Technology Development Centre, Custom Pharmaceutical Services, Dr Reddy's Laboratories Ltd, Hyderabad, 500049, India; Tadiparthi K., Department of Chemistry, Christ University, Hosur road, Bangalore, 560029, India; Madhubabu M.V., Technology Development Centre, Custom Pharmaceutical Services, Dr Reddy's Laboratories Ltd, Hyderabad, 500049, India; Jammula S.R., Technology Development Centre, Custom Pharmaceutical Services, Dr Reddy's Laboratories Ltd, Hyderabad, 500049, India; Rao L.V., Department of Chemistry, GIS, Gitam University, Visakhapatnam, 530045, India; Raghunadh A., Technology Development Centre, Custom Pharmaceutical Services, Dr Reddy's Laboratories Ltd, Hyderabad, 500049, India</text>
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            <element elementId="50">
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                  <text>Conference Papers</text>
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          <element elementId="50">
            <name>Title</name>
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            <elementTextContainer>
              <elementText elementTextId="187503">
                <text>Ambient monitoring in smart home for independent living</text>
              </elementText>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="187504">
                <text>Activity recognition; Machine learning classifiers; Segmentation; Sensor; Smart home</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Description</name>
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            <elementTextContainer>
              <elementText elementTextId="187505">
                <text>Ambient monitoring is a much discussed area in the domain of smart home research. Ambient monitoring system supports and encourages the elders to live independently. In this paper, we deliberate upon the framework of an ambient monitoring system for elders. The necessity of the smart home system for elders, the role of activity recognition in a smart home system and influence of the segmentation method in activity recognition are discussed. In this work, a new segmentation method called area-based segmentation using optimal change point detection is proposed. This segmentation method is implemented and results are analysed by using real sensor data which is collected from smart home test bed. Set of features are extracted from the segmented data, and the activities are classified using Naive Bayes, kNN and SVM classifiers. This research work gives an insight to the researchers into the application of activity recognition in smart homes.  Springer Nature Singapore Pte Ltd. 2019.</text>
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              <elementText elementTextId="187506">
                <text>Kavitha R.; Binu S.</text>
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              <elementText elementTextId="187507">
                <text>Advances in Intelligent Systems and Computing, Vol-883, pp. 57-74.</text>
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              <elementText elementTextId="187508">
                <text>Springer Verlag</text>
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              <elementText elementTextId="187511">
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                <text>ISSN: 21945357; ISBN: 978-981133701-7</text>
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                <text>Kavitha R., Christ University, Bangalore, Karnataka, India; Binu S., Christ University, Bangalore, Karnataka, India</text>
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          <element elementId="50">
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                <text>Amine functionalized carbon quantum dots from paper precursors for selective binding and fluorescent labelling applications</text>
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              <elementText elementTextId="107546">
                <text>amine-modified CQDs; Carbon quantum dots; DNA binding; DNA cleavage; Modified carbon quantum dots; Photoluminescence</text>
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            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="107547">
                <text>We report a novel synthesis route for preparing carbon quantum dots (CQDs) of customized surface functionality from readily available precursors. The synthetic strategy is based on the chemical modification of paper precursors prior to preparing CQDs from them. The pre-synthesis modification of paper precursors with (3-Aminopropyl) triethoxy silane (APTES) enabled us to synthesize CQDs with amine functional groups on the surface. The silane coupling via condensation between the ethoxy group of APTES and the cellulose hydroxyl group on the paper resulted in the tethering of amine groups on the paper substrates, which are retained as surface-bound species during the synthesis of CQDs from the modified paper. Amine functionalization on the surface of CQDs helped us use them in applications such as DNA binding. We analyzed the interaction of CQDs with calf thymus DNA (CT-DNA), and the results imply their propensity as an efficient biological probe. The synthetic strategy presented here can also be extended to other functional groups.  2022 Elsevier Inc.</text>
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                <text>Lisa John V.; Joy F.; Jose Kollannoor A.; Joseph K.; Nair Y.; Vinod T.P.</text>
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              <elementText elementTextId="107549">
                <text>Journal of Colloid and Interface Science, Vol-617, pp. 730-744.</text>
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            <elementTextContainer>
              <elementText elementTextId="107550">
                <text>Academic Press Inc.</text>
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                <text>Lisa John V., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Joy F., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Jose Kollannoor A., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Joseph K., Indian Institute of Space Science and Technology, Kerala, Thiruvananthapuram, 695547, India; Nair Y., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Vinod T.P., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India</text>
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                <text>Amorphous Ru-Pi nanoclusters coated on polypyrrole modified carbon fiber paper for non-enzymatic electrochemical determination of cholesterol</text>
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                <text>A facile electrochemical sensor based on Ruthenium-Phosphate (Ru-Pi) was developed by electrodeposition of Ru-Pi on Polypyrrole (PPy) modified carbon fiber paper (CFP) electrode. Phosphate buffer solutions of neutral pH containing RuCl3 was used for voltammetric deposition of Ru-Pi on PPy/CFP electrode. The modified electrodes were characterized by High resolution transmission electron microscopy (HRTEM), High-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM), Field emission scanning electron microscopy (FESEM) with energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD), Raman spectroscopy, Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS) and electroanalytical techniques. A significant amount of phosphate (Pi) and Ru centers in higher oxidation states were present on Ru-Pi film deposited on PPy/CFP substrate. Pi plays a significant role during catalyst deposition and in its activity toward determination of Cholesterol. DPV studies demonstrated that under optimum conditions, the developed sensor has displayed a wide linear dynamic range between 0.16 nM and 20.0 nM with a superior detection limit of 0.54 10-10 M. The proposed method was effectively applied in the nonenzymatic determination of cholesterol at an ultralow level in human blood serum samples. The method displayed high selectivity toward cholesterol in the presence of other interfering substances.  2019 The Electrochemical Society.</text>
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                <text>Journal of the Electrochemical Society, Vol-166, No. 12, pp. B1016-B1027.</text>
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                <text>Electrochemical Society Inc.</text>
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                <text>Akshaya K.B., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Nidhin M., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India; George L., Department of Chemistry, CHRIST (Deemed to Be University), Bengaluru, 560029, India</text>
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                <text>Amorphous Ru-Pi nanoclusters decorated on PEDOT modified carbon fibre paper as a highly efficient electrocatalyst for oxygen evolution reaction</text>
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                <text>Carbon fibre paper; Electrocatalyst; Electrochemical deposition; Oxygen evolution reaction; PEDOT; Ru-Pi</text>
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                <text>Amorphous Ru-Pi nanoclusters deposited on PEDOT modified carbon fibre paper electrode have been investigated as a potential oxygen evolution electrocatalyst. CFP/PEDOT/Ru-Pi electrode was prepared by electrodeposition of Ru-Pi nanoclusters on PEDOT decorated CFP using cyclic voltammetry (CV). Field emission scanning electron microscopy with energy-dispersive X-ray spectroscopy (FESEM-EDS), attenuated total reflection with Fourier-transform infrared spectroscopy (ATR-FTIR) and X-ray diffraction (XRD) were used for physicochemical characterization. Linear sweep voltammetric (LSV) studies corroborated that CFP/PEDOT/Ru-Pi has exhibited higher oxidation peak current when compared to other modified electrodes. CFP/PEDOT/Ru-Pi electrode has displayed better catalytic activity towards oxygen evolution reaction at low onset and over potential. The modified electrode has also offered better stability towards the oxidation reaction in phosphate buffer solution (PBS) and the working stability of these electrodes were determined using LSV and CV.  2021 Elsevier B.V.</text>
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                <text>Kannan P.; Akshaya K.B.; Sudhakar Y.N.; Vijayan A.; Varghese A.</text>
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                <text>Materials Chemistry and Physics, Vol-267</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.matchemphys.2021.124650" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.matchemphys.2021.124650&lt;/a&gt;
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                <text>ISSN: 2540584; CODEN: MCHPD</text>
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                <text>Kannan P., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, Karnataka, India; Akshaya K.B., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, Karnataka, India; Sudhakar Y.N., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, Karnataka, India; Vijayan A., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, Karnataka, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, Karnataka, India</text>
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                <text>Amorphous versus crystalline Al2O3nanoparticles: A comparative study in photocatalytic dye degradation</text>
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                <text>aluminum oxide (Al&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt;); amorphous; crystalline phase; nanoparticles; photocatalysts; photocatalytic dye degradation; rhodamine B; sol-gel method</text>
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                <text>This study focuses on the synthesis of aluminum oxide (Al2O3) nanoparticles and compares their amorphous and crystalline phases, emphasizing their suitability for photocatalytic dye degradation. The as-prepared Al2O3, synthesized using the sol-gel technique, is found to have an amorphous nature, which is later annealed at 1200C to obtain its ? phase of crystalline nature. Despite the widespread applications of aluminum oxide in various fields, the differences between its amorphous and crystalline phases are not well understood. This work bridges this gap by evaluating the amorphous and crystalline phases of Al2O3, particularly for dye degradation. As technologies advance to enhance aluminum-containing photocatalytic materials by doping, composites, and hybrids, understanding the impact of material phase on photocatalytic capabilities becomes crucial. The research comprehensively assesses structural, functional, morphological, optical, and dye degradation characteristics. Remarkably, amorphous Al2O3 demonstrates superior dye degradation efficacy compared with its crystalline counterpart, achieving an enhanced degradation efficiency of 87.2% for rhodamine B, a commonly used azo dye in the printing and textile industries.   2024 Emerald Publishing Limited: All rights reserved.</text>
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                <text>Christan S.; Lukose M.; Vijayan K.; John R.A.B.; Vijayachamundeeswari S.P.</text>
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                <text>Nanomaterials and Energy, Vol-13, No. 4, pp. 115-123.</text>
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                <text>&lt;a href="https://doi.org/10.1680/jnaen.23.00106" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1680/jnaen.23.00106&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205788639&amp;amp;doi=10.1680%2Fjnaen.23.00106&amp;amp;partnerID=40&amp;amp;md5=d81fcd4313ca51405cf4260b3d6eda6d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205788639&amp;amp;doi=10.1680%2fjnaen.23.00106&amp;amp;partnerID=40&amp;amp;md5=d81fcd4313ca51405cf4260b3d6eda6d&lt;/a&gt;</text>
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                <text>ISSN: 20459831</text>
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                <text>Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa 31982, Saudi Arabia; Ravindran M., Department of Biotechnology and Genetics, School of Sciences, JAIN (Deemed-to-be-University), Bangalore, 560027, India; Banadka A., Department of Biotechnology and Genetics, School of Sciences, JAIN (Deemed-to-be-University), Bangalore, 560027, India; Vandana C.D., Department of Biotechnology and Genetics, School of Sciences, JAIN (Deemed-to-be-University), Bangalore, 560027, India; Priya K., Department of Biotechnology and Genetics, School of Sciences, JAIN (Deemed-to-be-University), Bangalore, 560027, India; Nagella P., Department of Life Sciences, School of Sciences, Christ University, Bengaluru, 560029, India; Kukkemane K., Department of Life Sciences, School of Sciences, Christ University, Bengaluru, 560029, India</text>
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                <text>Nowadays, large amounts of unstructured data are currently trending on social media and the Web. Text summarising is the process of extracting pertinent information in a concise manner without altering the content's core meaning. Summarising text by hand requires a lot of time, money, and effort. Although deep learning algorithms are commonly applied in abstractive text summarization, further research is clearly needed to fully understand their conjunction with semantic-based or structure-based approaches. The resume dataset is taken for this research work, which is gathered from Kaggle and the dataset includes 1,735 Resumes. This paper presents a unique framework based on the combination of semantic data transformations and deep learning approaches for improving abstractive text summarization. In an attempt to tackle the problem of unregistered words, a solution called Decoder Attention with Pointer Network (DA-PN) has been introduced. This method incorporates the use of a coverage mechanism to prevent word repetition in the generated text summaries. DA-PN is utilized for protecting the spread of increasing errors in generated text summaries. The performance of the proposed method is estimated using the evaluation indicator Recall Oriented Understudy for Gisting Evaluation (ROUGE) and attains an average of 26.28 which is comparatively higher than existing methods.  2023 IEEE.</text>
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                <text>Manohar M., CHRIST(Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India; Sunil G., School of Computer Science &amp;amp; Artificial Intelligence, Sr University, Warangal, India; Al-Attabi K., The Islamic University, Najaf, Iraq; Mohammed I.H., Al Rafidain University College, Department of Computer Communications Engineering, Bagdad, Iraq; Buvaneswari P.R., School of Electrical and Electronic Engineering, Vit Bhopal University, Sehhore, India</text>
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                <text>An Adaptive Cluster based Vehicular Routing Protocol for Secure Communication</text>
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                <text>In todays scenario, Vehicular Ad-hoc Network (VANET) is one of the modern fields in vehicle communication; it includes a large number of nodes that can be changed arbitrarily with the ability to link or exit the system anytime. Moreover, it has various complexities because of the attacks model in the transmission and communication channel. Besides, most of the attacks are known as black hole attack and wormhole attack. The presence of these attacks causes large damage in the data broadcasting region that ends in data drops or collapses. To defeat these problems, a novel Clustered Vehicle Location protocol for Hybrid Krill Herd and Bat Optimization (CVL-HKH-BO) technique is proposed. Thus, the proposed mechanism of hybrid krill herd and bat optimization is to detect and prevent attacks based on the fitness function. Moreover, secure communication can be enhanced by the proposed technique. Consequently, the solution to energy consumption and packet delay issues are solved using the CVL protocol. The projected strategy is implemented in the Network simulator (Ns-2) platform, and the outcomes show the node energy, overload and delay are minimized by increasing the quantity of packets transmitted in the network. Sequentially, the proposed technique is compared with existing techniques in terms of throughput, packet loss, delay time and data broadcasting ratio. Therefore, the duration of the node can be enhanced and can attain high energy capable data transmission.  2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</text>
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                <text>Divya N.S.; Bobba V.; Vatambeti R.</text>
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                <text>Wireless Personal Communications, Vol-127, No. 2, pp. 1717-1736.</text>
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                <text>Divya N.S., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, Vaddeswaram, 520002, India; Bobba V., Department of Computer Science and Engineering, TKR College of Engineering and Technology, Telangana, Hyderabad, 500097, India; Vatambeti R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560072, India</text>
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                <text>An adaptive inertia weight teachinglearning-based optimization for optimal energy balance in microgrid considering islanded conditions</text>
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            <name>Subject</name>
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                <text>Adaptive teachinglearning-based optimization; Islanding mode; Microgrid; Multi-objective optimization; Optimal load control; Renewable energy</text>
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                <text>The energy balance in islanded microgrids is a complex task due to various operational constraints. This paper proposes a new approach to multi-objective optimization for achieving energy balance in aMicrogrid(MG) in both islanded and normal modes. Optimal load control (OLC)is achallenge, due to a lack of capacity to generate the global optimum after each run. The latest variant of Teaching Learning Based Optimization (TLBO), known as Adaptive-TLBO, includes both modifications during exploitation and exploration stages (ATLBO). The results achievedwith the proposed method are exceptional on a modified IEEE 33-bus system. In addition to the improvement of the voltage profile and the decrease of the distribution losses, the energy balance improves with the method. The proposed ATLBO algorithm overrides any proposed other algorithm, as shown by comparison with PSO, base TLBO, Backtrackingsearch algorithm (BSA) and cuckoo search algorithms, etc. (CSA).  The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022.</text>
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            <name>Creator</name>
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              <elementText elementTextId="83248">
                <text>John N.; Janamala V.; Rodrigues J.</text>
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                <text>Energy Systems, Vol-15, No. 1, pp. 141-166.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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            <name>Date</name>
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                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1007/s12667-022-00526-3" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s12667-022-00526-3&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144244040&amp;amp;doi=10.1007%2Fs12667-022-00526-3&amp;amp;partnerID=40&amp;amp;md5=8ee8a021c2d32891f59fd5939f18072c" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144244040&amp;amp;doi=10.1007%2fs12667-022-00526-3&amp;amp;partnerID=40&amp;amp;md5=8ee8a021c2d32891f59fd5939f18072c&lt;/a&gt;</text>
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                <text>ISSN: 18683967</text>
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                <text>Online</text>
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                <text>English</text>
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                <text>John N., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Janamala V., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Rodrigues J., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India</text>
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