328 20 16481 https://archives.christuniversity.in/files/original/f284042fb5a944fc7e7c18651138d911.pdf 20cfc426b8f15f7b678621141adcc8d1 Dublin Core 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/. Title A name given to the resource Thesis PhD PhD Thesis Dublin Core 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/. Title A name given to the resource Research competence of university teachers in relation to organisational ethos and research culture / Subject The topic of the resource Education Creator An entity primarily responsible for making the resource Kiran Srivastava - 1530097 Publisher An entity responsible for making the resource available CHRIST (Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2024-07-16 Language A language of the resource English Type The nature or genre of the resource PhD Dublin Core 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/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core 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/. Creator An entity primarily responsible for making the resource Kiran, K.; Jose, Nirmal; Rout, Amruta; Ravikumar, R.; Hebbar, Gurumoorthy S Title A name given to the resource Maximised bioethanol extraction from bamboo biomass through alkali pretreatment and enzymatic saccharification by application of ANN-NSGA-II-based optimisation method Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Environment, Development and Sustainability;Volume;27;Issue;9;pp.22823-22845 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10668-023-04209-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10668-023-04209-6</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85178188635?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85178188635?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kiran K., Mechanical and Automobile Engineering Department, School of Engineering and Technology, CHRIST University, Bengaluru, 560074, India; Jose N., Mechanical and Automobile Engineering Department, School of Engineering and Technology, CHRIST University, Bengaluru, 560074, India; Rout A., Mechanical and Automobile Engineering Department, School of Engineering and Technology, CHRIST University, Bengaluru, 560074, India; Ravikumar R., Mechanical and Automobile Engineering Department, School of Engineering and Technology, CHRIST University, Bengaluru, 560074, India; Hebbar G.S., Mechanical and Automobile Engineering Department, School of Engineering and Technology, CHRIST University, Bengaluru, 560074, India Description An account of the resource The demand for alternative fuels is growing due to the depletion of fossil fuel resources. Non-edible resources are explored as alternatives, and a bamboo is an up-and-coming option for producing ethanol. The extraction process for bioethanol from bamboo involves alkali pretreatment, enzymatic saccharification, and ethanol production. The bamboo biomass is treated with alkali at high temperatures and pressure. This treatment helps break the lignin bonds that hinder the reaction between cellulose and enzymes. As a result, the pretreated biomass contains 40% less lignin than its raw form. Next, the air-dried pretreated biomass undergoes saccharification using Supercut Acid Cellulose. The saccharification process is optimised to achieve the shortest possible time, determined through prediction models based on artificial neural networks and optimisation techniques like Non-dominated Sorting Genetic Algorithm-II. The optimised process involves specific biomass and enzyme loading, producing reducing sugars estimated using the DNS method. Following enzymatic Saccharification, the hydrolysate is fermented using Saccharomyces cerevisiae, a type of yeast. This fermentation process yields ethanol with a 1614.26mg/kg concentration. The Author(s), under exclusive licence to Springer Nature B.V. 2023. Subject The topic of the resource Artificial neural network; Bamboo; Bioethanol; Non-dominated sorting genetic algorithm-II; Saccharification Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 1387585X; CODEN: EDSNB Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core 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/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core 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/. Creator An entity primarily responsible for making the resource Kiran, Prabha; Banerjee, Jayanta; Vasudevan, M.; Kishore, S.V. Krishna Title A name given to the resource Influence of advertisements controversial element and emotional appeal on customer intention to buy Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived International Journal of Business and Globalisation;Volume;39;Issue;2026-04-03 00:00:00;pp.415-441 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJBG.2025.144861" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJBG.2025.144861</a> <br /><br /><a href="https://www.scopus.com/pages/publications/86000738360?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/86000738360?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kiran P., Westminster International University in Tashkent, 12 Istikbol Street, Tashkent, 100047, Uzbekistan; Banerjee J., College of Business, City University Ajman, United Arab Emirates; Vasudevan M., Christ University, Hosur Road, Near Diary Circle, Karnataka, Bangalore, 560029, India; Kishore S.V.K., Christ University, Hosur Road, Near Diary Circle, Karnataka, Bangalore, 560029, India Description An account of the resource This paper studies the influence of an advertisements controversial element and emotional appeal on the customer intention to buy. The research paper is both exploratory and conclusive. S-O-R model was used for the study. Convenience sampling was used to draw a sample of 264 respondents. The data were tested for reliability, correlation and regression. The advertisements controversial element and emotional appeal significantly influence the customers intention to buy. The controversial element and the emotional appeal are positively correlated with the customer intention to buy. The research was done within a limited time and resources. The future research paper can include more moderators in the research model. The research paper provides a better understanding of the emotional appeal and the controversial element of an advertisement on customer intention to buy. 2025 Inderscience Enterprises Ltd. Subject The topic of the resource controversial element; customer intention to buy; emotional appeal Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17533627; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core 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/. Title A name given to the resource PHD PhD PhD Thesis Dublin Core 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/. Relation A related resource No Thesis Title A name given to the resource Study of magnetoconvection with maxwell cattaneo law Subject The topic of the resource Mathematics and Statistics Description An account of the resource This thesis deals with the study of Rayleigh-Bard-convection in a Newtonian fluid and micropolar fluid by replacing the classical Fourier law by non-classical Maxwell-Cattaneo heat flux law. The effects of second sound, non-uniform basic temperature gradients, suctioninjection-combination, temperature modulation and gravity modulation in newlinepresence of external constraints like magnetic field and rotation are studied. newlineThe problems investigated in this thesis throw light on externally controlled convection in Newtonian and micropolar fluids in the presence of Maxwell-Cattaneo law. The problems investigated in this thesis deal newlinewith practical problems with very large heat fluxes and/or short time duration. With this motivation, we investigate in this thesis five problems and their summary is given below. (i) Effects of Coriolis force and non-uniform basic temperature gradients on the onset of Rayleigh-Bard-Chandrasekhar newlineconvection with Maxwell-Cattaneo law The effect of non-uniform temperature gradient on RayleighBard-Chandrasekhar convection in a rotating Newtonian fluid with Maxwell-Cattaneo law is studied using the Galerkin technique. The eigenvalues is obtained for free-free, rigid-free and rigid-rigid velocity boundary combinations with isothermal and adiabatic boundaries. A linear stability analysis is performed. The influence of various parameters on the onset of convection has been analyzed. One linear and five non-linear temperature profiles are considered and their comparative influence on onset is discussed. It is found that the results are noteworthy at short times and the critical eigenvalues are less than the classical ones. It is shown that the system having magnetic field will delay in the onset newlineof instability. In general, it is observed that step function and inverted parabolic temperature profile are the most destabilizing and stabilizing profiles. Creator An entity primarily responsible for making the resource Kiran, R V. Source A related resource from which the described resource is derived Author's Submission Publisher An entity responsible for making the resource available Christ(Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2013-01-01 Contributor An entity responsible for making contributions to the resource Pranesh, S Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/423314" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/423314</a> https://archives.christuniversity.in/files/original/d898bcc8e6e495969e5209b8b6154943.pdf 6921afa6c73935e74e7b293cc0d9a9f7 Dublin Core 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/. Title A name given to the resource Thesis PhD PhD Thesis Dublin Core 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/. Title A name given to the resource Study of magnetoconvection with maxwell cattaneo law / Subject The topic of the resource Mathematics Description An account of the resource This thesis deals with the study of Rayleigh-Bénard-convection in a Newtonian fluid and micropolar fluid by replacing the classical Fourier law by non-classical Maxwell-Cattaneo heat flux law. The effects of second sound, non-uniform basic temperature gradients, suctioninjection-combination, temperature modulation and gravity modulation in presence of external constraints like magnetic field and rotation are studied. The problems investigated in this thesis throw light on externally controlled convection in Newtonian and micropolar fluids in the presence of Maxwell-Cattaneo law. The problems investigated in this thesis deal with practical problems with very large heat fluxes and/or short time duration. With this motivation, we investigate in this thesis five problems and their summary is given below. (i) Effects of Coriolis force and non-uniform basic temperature gradients on the onset of Rayleigh-Bénard-Chandrasekhar convection with Maxwell-Cattaneo law The effect of non-uniform temperature gradient on RayleighBénard-Chandrasekhar convection in a rotating Newtonian fluid with Maxwell-Cattaneo law is studied using the Galerkin technique. The eigenvalues is obtained for free-free, rigid-free and rigid-rigid velocity boundary combinations with isothermal and adiabatic boundaries. A linear stability analysis is performed. The influence of various parameters on the onset of convection has been analyzed. One linear and fiveix non-linear temperature profiles are considered and their comparative influence on onset is discussed. It is found that the results are noteworthy at short times and the critical eigenvalues are less than the classical ones. It is shown that the system having magnetic field will delay in the onset of instability. In general, it is observed that step function and inverted parabolic temperature profile are the most destabilizing and stabilizing profiles. The range of values of the parameters of the problem for which oscillatory convection in the case of free-free isothermal boundary exists is also discussed. (ii) The effect of temperature modulation on the onset of RayleighBénard-Chandrasekhar convection using Maxwell-Cattaneo law The effect of imposed time-periodic boundary temperature (ITBT, also called temperature modulation) and magnetic field at the onset of Rayleigh-Bénard convection is investigated by making a linear analysis. The classical Fourier heat law is replaced by the non-classical MaxwellCattaneo law. The venezian approach is adopted in arriving at the critical Rayleigh number and wave number for small amplitude of ITBT. Three cases of oscillating temperature field are examined: (a) symmetric, so that the wall temperatures are modulated in-phase, (b) asymmetric, corresponding to out-of-phase modulation and (c) only the lower wall is modulated. The temperature modulation is shown to give rise to sub-critical motion. The shift in the critical Rayleigh number is calculated as a function of frequency and it is found that it is possible to advance or delay the onset of convection by time modulation of the wall temperatures. It is shown that the system is more stable when the boundary temperatures are modulated out of phase.x (iii) The effect of gravity modulation on the onset of RayleighBénard-Chandrasekhar convection using Maxwell-Cattaneo law The effect of gravity modulation and magnetic field at the onset of Rayleigh-Bénard-Chandrasekhar convection is investigated by making a regular perturbation technique. The stability of the horizontal fluid layer heated from below is examined by assuming time-periodic body acceleration called g-jitter, which normally occurs in satellites and in vehicles connected with microgravity simulation studies. The venezian approach is adopted in arriving at the critical Rayleigh number and wave number for small amplitude of gravity modulation. The shift in the critical Rayleigh number is calculated as a function of frequency of modulation. It is observed that gravity modulation leads to delayed convection. (iv) The effect of suction-injection-combination (SIC) on the onset of Rayleigh-Bénard-Chandrasekhar convection in a micropolar fluid with Maxwell-Cattaneo law The effect of suction-injection-combination (SIC) on the onset of Rayleigh-Bénard-Chandrasekhar convection in a micropolar fluid with Maxwell-Cattaneo law is studied using the Galerkin technique. The eigenvalue is obtained for free-free, rigid-free and rigid-rigid velocity boundary combinations with isothermal and adiabatic on the spinvanishing boundaries. A linear stability analysis is performed. The influence of various micropolar fluid parameters on the onset of convection has been analyzed. It is found that the effect of Prandtl number on the stability of the system is dependent on the SIC beingxi pro-gravity or anti-gravity. A similar Pe-sensitivity is found in respect of the critical wave number. The problem suggests an elegant method of external control of internal convection. (v) The effect of non-uniform temperature gradients on RayleighBénard-Chandrasekhar convection in a micropolar fluid with Maxwell-Cattaneo law The effect of non-uniform temperature gradient on RayleighBénard-Chandrasekhar convection in a micropolar fluid with MaxwellCattaneo law is studied using the Galerkin technique. The eigenvalue is obtained for free-free, rigid-free and rigid-rigid velocity boundary combinations with isothermal and adiabatic on the spin-vanishing boundaries. A linear stability analysis is performed. The influence of various micropolar fluid parameters on the onset of convection has been analyzed. Six different non-uniform temperature profiles are considered their comparative influence on onset is discussed. It is observed that the micropolar fluid layer heated from below is more stable compared to the classical Newtonian fluid layer. Creator An entity primarily responsible for making the resource Kiran, R.V. - 0944302 Publisher An entity responsible for making the resource available CHRIST (Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2013-12-22 Language A language of the resource English Type The nature or genre of the resource PhD Dublin Core 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/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core 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/. Creator An entity primarily responsible for making the resource Kiran, Talari Uday; Vigneshwaran, T.; Natarajan, K. Title A name given to the resource A Deep Learning Approach to Phishing Detection Using BiLSTM with an Attention Mechanism Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1612 LNNS;pp.445-457 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-95-2872-1_32" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-95-2872-1_32</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028264891?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028264891?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kiran T.U., Department of AI, ML and Data Science, Christ University, Karnataka, Bengaluru, India; Vigneshwaran T., Department of AI, ML and Data Science, Christ University, Karnataka, Bengaluru, India; Natarajan K., Department of AI, ML and Data Science, Christ University, Karnataka, Bengaluru, India Description An account of the resource Phishing sites are a serious cyber threat as they trick users into revealing sensitive personal data. Conventional detection techniques, including rule-based systems and blocklists, cannot cope with changing phishing tactics. In this paper, a new approach to phishing detection is introduced using a Bidirectional Long Short-Term Memory (BiLSTM) network with an attention mechanism. The suggested model learns and examines URL-based features and identifies forward and backward relationships in data, enhancing classification accuracy. A 30,000 URL-tagged dataset is utilized to train the model, which is then optimized with the help of methods like sequence tokenization, embedding layers, dropout regularization, and class weight balancing to counter data imbalance issues. The BiLSTM layer processes sequential information about URLs in a bidirectional manner, whereas the attention mechanism applies weights to important features differently to ensure the model pays attention to the most critical elements of phishing URLs. The model was tested based on standard performance metrics and has attained an astounding accuracy of 99.22%, precision of 99.1%, recall of 99.3%, and an F1-score of 99.2%, surpassing the traditional approach like Logistic Regression. The model indicates good generalization ability and is possible to be applied in real-time in web security systems. In the future, the use of dynamic data analysis and large datasets will be applied to improve further the detection efficiency and responsiveness against the new emerging phishing attacks. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. Subject The topic of the resource Attention mechanism; BiLSTM; Machine learning; Phishing websites Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981952871-4; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core 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/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core 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/. Title A name given to the resource Forecasting Prices of Black Pepper in Kerala and Karnataka using Univariate and Multivariate Recurrent Neural Networks Subject The topic of the resource Black Pepper; Gated Recurrent Unit (GRU); Long Short-Term Memory (LSTM); Macroeconomic; Singular Spectral Analysis (SSA); Time series Description An account of the resource Our country has a high level of agricultural employment. Price swings harm the economy of our country. To combat this impact, forecasting the selling price of agricultural products has become a need. Forecasts of agricultural prices assist farmers, government officials, businesses, central banks, policymakers, and consumers. Price prediction can then assist in making better selections in this area. Black pepper, sometimes known as the "King of Spices, " is a popular spice farmed and exported in India. The largest producers of black pepper are Karnataka and Kerala. For black pepper in Kerala and Karnataka, this study provides a univariate and multivariate price prediction model using Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU). The data is denoised using Singular Spectral Analysis (SSA). The most accurate method is the multivariate variate LSTM technique, which uses macroeconomic variables. It has a Mean Absolute Percentage Error (MAPE) of 0.012 and 0.040 for Kerala and Karnataka, respectively. Grenze Scientific Society, 2022. Creator An entity primarily responsible for making the resource Kiranjith K.A.; Pramila R.M. Source A related resource from which the described resource is derived 13th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2022, Vol-8, pp. 803-810. Publisher An entity responsible for making the resource available Grenze Scientific Society Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143317391&amp;partnerID=40&amp;md5=960b6a7fa8f0f5c4588e41289ee87564" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143317391&amp;partnerID=40&amp;md5=960b6a7fa8f0f5c4588e41289ee87564</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-171385793-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kiranjith K.A., Christ (Deemed to be University), Pune Lavasa Campus, Maharashtra, India; Pramila R.M., Christ (Deemed to be University), Pune Lavasa Campus, Maharashtra, India Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Alpha Decay Favoured Isotopes of Some Superheavy Nuclei: Spontaneous Fission Versus Alpha Decay Subject The topic of the resource Physics Description An account of the resource Romanian Journal of Physics, Vol-57 (9-10), pp. 1335-1345. Creator An entity primarily responsible for making the resource Kiren O.V., Gudennavar S.B. and Bubbly S.G. Publisher An entity responsible for making the resource available Romanian Journal of Physics Date A point or period of time associated with an event in the lifecycle of the resource 2012 Language A language of the resource English Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Evolution of primordial dark matter planets in the early Universe Subject The topic of the resource Dark matter; DM planets; Early Universe Description An account of the resource In a recent paper we had discussed possibility of DM at high redshifts forming primordial planets composed entirely of DM to be one of the reasons for not detecting DM (as the flux of ambient DM particles would be consequently reduced). In this paper we discuss the evolution of these DM objects as the Universe expands. As Universe expands there will be accretion of DM, helium and hydrogen layers (discussed in detail) on these objects. As they accumulate more and more mass, the layers get heated up leading to nuclear reactions which burn H and He when a critical thickness is reached. In the case of heavier masses of these DM objects, matter can be ejected explosively. It is found that the time scale of ejection is smaller than those from other compact objects like neutron stars (that lead to x-ray bursts). These flashes of energy could be a possible observational signature for these dense DM objects. 2021 COSPAR Creator An entity primarily responsible for making the resource Kiren O.V.; Arun K.; Sivaram C. Source A related resource from which the described resource is derived Advances in Space Research, Vol-68, No. 4, pp. 2050-2056. Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.asr.2021.04.016" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.asr.2021.04.016</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105337124&amp;doi=10.1016%2Fj.asr.2021.04.016&amp;partnerID=40&amp;md5=1b52e3e202d726827bd8085144a8945e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105337124&amp;doi=10.1016%2fj.asr.2021.04.016&amp;partnerID=40&amp;md5=1b52e3e202d726827bd8085144a8945e</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 2731177; CODEN: ASRSD Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kiren O.V., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Arun K., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, India, Christ Junior College, Bangalore, 560 029, India; Sivaram C., Indian Institute of Astrophysics, Bangalore, 560 034, India Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Alpha decay favoured isotopes of some superheavy nuclei: Spontaneous fission versus alpha decay Subject The topic of the resource Alpha decay; Half-life; Spontaneous fission; Superheavy nuclei Description An account of the resource Spontaneous fission and alpha decay are the main decay modes for superheavy nuclei. The superheavy nuclei which have small alpha decay half-life compared to spontaneous fission half-life will survive fission and can be detected in the laboratory through alpha decay. We have studied the alpha decay half-life and spontaneous half-life of some superheavy elements in the atomic range Z = 100-130. Spontaneous fission half-lives of superheavy nuclei have been calculated using the phenomenological formula and the alpha decay half-lives using Viola-Seaborg-Sobiczewski formula (Sobiczewski et al. 1989), semi empirical relation of Brown (1992) and formula based on generalized liquid drop model proposed by Dasgupta-Schubert and Reyes (2007). The results are reported here. Creator An entity primarily responsible for making the resource Kiren O.V.; Gudennavar S.B.; Bubbly S.G. Source A related resource from which the described resource is derived Romanian Reports of Physics, Vol-57, No. 45939, pp. 1335-1345. Date A point or period of time associated with an event in the lifecycle of the resource 2012-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872305043&amp;partnerID=40&amp;md5=b66ce449096f74e93d9ae26391e7bd0b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872305043&amp;partnerID=40&amp;md5=b66ce449096f74e93d9ae26391e7bd0b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1221146X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kiren O.V., Department of Physics, Christ University, Bangalore-560 029, Karnataka, India; Gudennavar S.B., Department of Physics, Christ University, Bangalore-560 029, Karnataka, India; Bubbly S.G., Department of Physics, Christ University, Bangalore-560 029, Karnataka, India Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Primordial Planets with an Admixture of Dark Matter Particles and Baryonic Matter Subject The topic of the resource baryonic admixture; dark matter; DM; early universe; primordial planets Description An account of the resource It has been suggested that primordial planets could have formed in the early universe and the missing baryons in the universe could be explained by primordial free-floating planets of solid hydrogen. Many such planets were recently discovered around the old and metal-poor stars, and such planets could have formed in early epochs. Another possibility for missing baryons in the universe could be that these baryons are admixed with DM particles inside the primordial planets. Here, we discuss the possibility of the admixture of baryons in the DM primordial planets discussed earlier. We consider gravitationally bound DM objects with the DM particles constituting them varying in mass from 20 to100 GeV. Different fractions of DM particles mixed with baryonic matter in forming the primordial planets are discussed. For the different mass range of DM particles forming DM planets, we have estimated the radius and density of these planets with different fractions of DM and baryonic particles. It is found that for heavier-mass DM particles with the admixture of certain fractions of baryonic particles, the mass of the planet increases and can reach or even substantially exceed Jupiter mass. The energy released during the process of merger of such primordial planets is discussed. The energy required for the tidal breakup of such an object in the vicinity of a black hole is also discussed. 2023 by the authors. Creator An entity primarily responsible for making the resource Kiren O.V.; Kenath A.; Sivaram C. Source A related resource from which the described resource is derived Universe, Vol-9, No. 9 Publisher An entity responsible for making the resource available Multidisciplinary Digital Publishing Institute (MDPI) Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/universe9090401" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/universe9090401</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172133967&amp;doi=10.3390%2Funiverse9090401&amp;partnerID=40&amp;md5=9a03d139c2901ba7c4e7d9dcee8578e7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172133967&amp;doi=10.3390%2funiverse9090401&amp;partnerID=40&amp;md5=9a03d139c2901ba7c4e7d9dcee8578e7</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 22181997 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kiren O.V., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India, Department of Physics, St Claret PU College, Bangalore, 560013, India; Kenath A., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Sivaram C., Indian Institute of Astrophysics, Bangalore, 560034, India Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Is asteroid 33 Polyhymnia a dark matter (DM) degenerate object? Description An account of the resource Polyhymnia (33 Polyhymnia) is a main belt asteroid in our solar system with a diameter around 54km. The density of asteroid 33 Polyhymnia, located in the main asteroid belt, is calculated to be 75g/cc. Researchers have speculated the possibility that Polyhymnia could be composed of high-density superheavy elements near atomic number 164. Here, we propose that Polyhymnia could be an asteroid composed of degenerate dark matter (DM) and there could be many such asteroids in our solar system. (This is following our earlier work suggesting that Planet Nine could be such an object.) The Author(s), under exclusive licence to SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2024. Creator An entity primarily responsible for making the resource Kiren O.V.; Sivaram C.; Kenath A. Source A related resource from which the described resource is derived European Physical Journal Plus, Vol-139, No. 6 Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1140/epjp/s13360-024-05174-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1140/epjp/s13360-024-05174-3</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196840755&amp;doi=10.1140%2Fepjp%2Fs13360-024-05174-3&amp;partnerID=40&amp;md5=32167fb6b475b8959dfc6ec4e1ed3f0b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196840755&amp;doi=10.1140%2fepjp%2fs13360-024-05174-3&amp;partnerID=40&amp;md5=32167fb6b475b8959dfc6ec4e1ed3f0b</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 21905444 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kiren O.V., Department of Physics and Electronics, Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India, Department of Physics, St Claret Pre-University College, Jalahalli, Karnataka, Bengaluru, 560013, India; Sivaram C., Indian Institute of Astrophysics, Koramangala, Karnataka, Bengaluru, 560057, India; Kenath A., Department of Physics and Electronics, Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India Dublin Core 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/. Title A name given to the resource PHD PhD PhD Thesis Dublin Core 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/. Relation A related resource 61000167 Title A name given to the resource Duplex functionally graded and multilayered thermal barrier coatings based on 8 % yttria stabilized zirconia and pyrochlores Subject The topic of the resource Mechanical and Automobile Engineering Description An account of the resource Thermal Barrier Coatings (TBCs) protect gas turbine engine metal components while they serve in a high temperature environment (upto 1200?). 8% Yttria- Stabilized Zirconia (8YSZ) is the current state of the art material for TBCs. Typically, 250 to 500 ?m (upto 2 mm) thick TBCs can lower the metal temperature by upto 150C than the service temperature and thereby enhance life to the components. 8YSZ TBCs however, suffer from (a) increased sinterability, (b) phase de-stabilization and (c) poor adhesion with time in service at high temperature. In order to facilitate longer engine running time, research is being directed towards finding (i) newer materials that do not possess these deficiencies or (ii) configurations that can overcome them. In order to further improve the performance efficiency of the engines, TBC materials with extended thermal fatigue life at higher than current service temperatures (&gt;1100?) are also being actively investigated. In the same area of research, this thesis presents the findings of work on air plasma sprayed (i) duplex, (ii) functionally graded and (iii) multilayered configurations of TBCs synthesized from commercial 8YSZ and lab synthesized pyrochlore (lanthanum zirconate, lanthanum cerate and lanthanum cerium zirconate) compositions with NiCrAlY bond coat. Duplex i.e., 2-layered TBCs, synthesized by depositing commercial 8YSZ ceramic topcoat (METCO 204 NS) and NiCrAlY bond coat (AMDRY 962) plasma spray powders on Inconel 718 and/or stainless-steel substrates were used for benchmarking purpose (designated as conventional 8YSZ TBC). Next, TBCs were prepared by using these two powders in blended form (8YSZ+NiCrAlY) to serve as a third intermediate layer between the duplex TBC layers in functionally graded material (FGM) configurations. The role of he third intermediate layer is to minimize the thermal expansion mismatch between the ceramic and bond coat layers at elevated temperatures. 8YSZ FGM TBCs were prepared from three different blends of plasma spray powders of NiCrAlY and 8YSZ (i .e., 25%NiCrAlY +75%8YSZ, 50% NiCrAlY + 50% 8YSZ and 60% NiCrAlY + 40% 8YSZ). The development of newer ceramic TBC materials and configurations was achieved by the synthesis of novel pyrochlores and FGM TBCs from them. The Rare-earth pyrochlores and Rare-earth zirconate pyrochlores studied were (i) Lanthanum Zirconate (La2Zr2O7), (ii) Lanthanum Cerium Zirconate (La2 (Zr0.7Ce0.3)2O7 and (iii) Lanthanum Cerate (La2Ce2O7). Plasma sprayable powders of these compositions were synthesized in the laboratory via a solid-state method. They were spray-coated by Atmospheric Plasma Spray (APS) method in duplex layers by using three different spray parameters on NiCrAlY bond coated substrates. The spray parameter that provided the best TBC for each composition was identified based on preliminary thermal fatigue tests. FGM TBCs with (50% NiCrAlY+ 50% 8YSZ) blend as intermediary layer exhibited significantly improved thermal fatigue resistance (life) over conventional 8YSZ TBC (up to 1400?). Hence, in the FGM pyrochlore system too, further studies were restricted to TBCs with (50%NiCrAlY+50% pyrochlore) blend layers to serve as the intermediate FGM layers. Further studies involved the synthesis of multilayered TBCs: two types of systems have been experimented (a) FGM with commercial 8YSZ integrated with the pyrochlores - here the intermediary blend layer was (50% NiCrAlY+ 50% 8YSZ), and lab synthesized pyrochlores were the topcoats and (b) 8YSZ as an intermediary layer and pyrochlores as the topcoats. Identical (to the extent possible) characterization methods were employed to study and evaluate all TBCs synthesized in this research work. They were (1) thermal fatigue tests between high temperature &amp; ambient by using (a) gas flame (1200? &amp; 1400?) and (b) furnace (1150C) (2) oxidation stability tests (at 800?,1000? and 1150?) (3) structural phase analysis (XRD) and (4) microstructure with chemical composition analysis (SEM/EDS). The work was aided by studies on adhesion strength test (ASTM C633 standard), residual stress analysis and assessment of thermal barrier effect (temperature drop across TBC) in chosen few TBCs. TBCs fabricated from three pyrochlores exhibited significant improvements in terms of thermal fatigue resistance at 1200? and 1400?. In duplex, Multilayer (ML) FGM and Multilayer (ML) configurations, La2Ce2O7 (LC) TBC performance was exemplary in all configurations studied in this research work. XRD analysis of pyrochlores in duplex, ML-FGM and ML configurations TBCs evaluated for thermal fatigue at 1200? and 1400? (gas flame heating) exhibited no phase destabilization in the failed specimen, confirming the thermal stability of the TBC system within the coated layers. The trend of improved thermal fatigue resistance of lanthanum cerate TBCs continued when studied via high-temperature furnace heating at 1150? as well. The experimental research work with details of TBC systems, processing, characterizations, and discussion based on findings and published literature to explore the prospective TBC material system and configuration with the potential to serve as an alternative to conventional 8YSZ TBC, in terms of life and thermal fatigue resistance, comprise the main contents of this thesis. Creator An entity primarily responsible for making the resource Kirti Teja, Pasupuleti. Source A related resource from which the described resource is derived Author's Submission Publisher An entity responsible for making the resource available Christ(Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Contributor An entity responsible for making contributions to the resource Ramaswamy, Parvati and Narayana Murthy, SVS Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/375232" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/375232</a> Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Calculator using brain computer interface Subject The topic of the resource Assistive devices; Augmentative communication; Brain-computer interface (BCI) and ECoG Description An account of the resource This paper is undertaken with an aspiration to provide a new way to calculate that can be availed by exploiting BCI. Often it's said things moved at the blink of eye, now the time has come to make it true. This project is developed to ease the efforts in two different ways. First a mind controlled image viewer is build which can be used to change images at the blink of an eye. Second is a simple single digit calculator which lets the user choose the number and the operators just by focusing.Brain-Computer Interface aims to improve the detection and decoding of brain signals acquired by electroencephalogram (EEG). IAEME Publication. Creator An entity primarily responsible for making the resource Kirubanad V.B.; Aeron M. Source A related resource from which the described resource is derived International Journal of Civil Engineering and Technology, Vol-9, No. 2, pp. 436-446. Publisher An entity responsible for making the resource available IAEME Publication Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042761730&amp;partnerID=40&amp;md5=aadc95ff50cac27dc29592d35f053ef2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042761730&amp;partnerID=40&amp;md5=aadc95ff50cac27dc29592d35f053ef2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9766308 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kirubanad V.B., Department of Computer Science, Christ University, Bangalore, India; Aeron M., Department of Computer Science, Christ University, Bangalore, India Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource Data encryption and decryption using graph plotting Subject The topic of the resource Affine cipher; Cryptography; Embedding and graph; Secret message Description An account of the resource Cryptography plays a vital role in today's network. Security of data is one of the biggest concern while exchanging data over the network. The data need to be highly confidential. Cryptography is the art of hiding data or manipulating data in such a way that where no third party can understand the original data while transmission from source to destination. In this paper, a modified affine cipher algorithm has been used to encrypt the data. The encrypted data will be plot onto a graph. Later, graph will be converted into image. This system allows sender to select his/her own keys to encrypt the original data before plotting graph. Then, Receiver will use the same key to decrypt the data. This system will provide the better security while storing the data in cloud in the form of secret message embedding in graphical image file in network environment. IAEME Publication. Creator An entity primarily responsible for making the resource Kirubanad V.B.; Kumari M. Source A related resource from which the described resource is derived International Journal of Civil Engineering and Technology, Vol-9, No. 2, pp. 36-46. Publisher An entity responsible for making the resource available IAEME Publication Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042767265&amp;partnerID=40&amp;md5=71337e0afa89beb4ad40a203ae0068ef" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042767265&amp;partnerID=40&amp;md5=71337e0afa89beb4ad40a203ae0068ef</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9766308 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kirubanad V.B., Department of Computer Science, Christ University, Bangalore, India; Kumari M., Department of Computer Science, Christ University, Bangalore, India Dublin Core 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/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core 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/. Title A name given to the resource An enhanced biometric attendance monitoring system using queuing petri nets in private cloud computing with playfair cipher Subject The topic of the resource Biometric ID; Cloud Server; Image Recognition; Playfair Cipher; Queuing Petri Nets Description An account of the resource Every educational institutions needs to analyse and monitor participation. Educationists believe that there should be a fair number of students available in the majority of their classes. In colleges participation is used a measure of consistency. To deal with this kind of a challenging situation, biometric based participation monitoring framework is being proposed. This proposed method with the assistance of face recognition will help in maintaining every detail about the present students in a classroom save the same in the class database. The camera captures the image of students and compares them with the existing visual data available in the database. In case, the software is not able to find a match for the captured data in the student database, the particular student is marked as absent. Queuing Petri nets help in fulfilling customised demands of various institutions along with providing better performance in terms of hold up time. With the application of this technology, classroom participation is recorded and saved every hour. The database is accessed and maintained using cloud services and necessary security measured are incorporated as provided by major private cloud service providers with playfair cipher technique. 2020, Institute of Advanced Scientific Research, Inc. All rights reserved. Creator An entity primarily responsible for making the resource Kirubanand V.B. Source A related resource from which the described resource is derived Journal of Advanced Research in Dynamical and Control Systems, Vol-12, No. 5 Special Issue, pp. 459-468. Publisher An entity responsible for making the resource available Institute of Advanced Scientific Research, Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.5373/JARDCS/V12SP5/20201781" target="_blank" rel="noreferrer noopener">https://doi.org/10.5373/JARDCS/V12SP5/20201781</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090631835&amp;doi=10.5373%2FJARDCS%2FV12SP5%2F20201781&amp;partnerID=40&amp;md5=b10275c5405c36ec3ebf134ffa54740c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090631835&amp;doi=10.5373%2fJARDCS%2fV12SP5%2f20201781&amp;partnerID=40&amp;md5=b10275c5405c36ec3ebf134ffa54740c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1943023X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kirubanand V.B., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India Dublin Core 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/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core 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/. Title A name given to the resource Anonymization Based Deep Privacy Preserving Convolutional Autoencoder Learning Technique for High Dimensional Data Clustering in Big Data Cloud Subject The topic of the resource Advanced Networking; Anonymization; Big Data Clustering; Deep Learning Architecture; High Dimensional Big Data; Reconstruction Error Description An account of the resource Data Clustering is a primary research focus in large data-driven application domains in the big data cloud as performance of the clustering dynamic data with high dimensionality is highly challenging due to major concern in the effectiveness and efficiency on data representation. Machine learning is a conventional approach to distribute the data into soft partition still it leads to increasing sparsity of data and increasing difficulties in distinguishing distance between data points. In addition, securing the personnel and confidential information of the user is also becoming vital. In order to tackle those issues, a new anonymization based deep privacy preserving learning paradigm has been presented in this paper. The proposed model is represented as deep privacy preserving convolutional auto encoder learning architecture for secure high dimensional data clustering on inferring the distribution of the data over time. Initially dimensionality reduction and feature extraction is carried out and those extracted feature has been taken for clustering on generation of objective function to produce maximum margin cluster. Those clusters are further fine tuned to feature refinement on the hyper parameter of various layers of deep learning model network to establish the minimum reconstruction error by feature refinement. Softmax layer minimizes the intra cluster similarity and inter cluster variation in the feature space for cluster assignment. Hyper parameter tuning using stochastic gradient descent has been enabled in the output layer to make the data instance in the cluster to be close to each other by determining the affinity of the data on new representation. It results significant increase in the clustering performance on the discriminative informations. Detailed experimental analysis has been performed on benchmarks datasets to compute the proposed model performance with conventional approaches. The performance outcome represents that anonymization based deep privacy preserving clustering learning architecture can produce good scalability and effectiveness on high dimensional data. 2023 American Institute of Physics Inc.. All rights reserved. Creator An entity primarily responsible for making the resource Kiruthika B.; Srinivasan B.; Poornima N.V.; Prabhusundhar P. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2909, No. 1 Publisher An entity responsible for making the resource available American Institute of Physics Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/5.0183809" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0183809</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179877724&amp;doi=10.1063%2F5.0183809&amp;partnerID=40&amp;md5=96ae1d7a6261b97d8dc50453f13beb6f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179877724&amp;doi=10.1063%2f5.0183809&amp;partnerID=40&amp;md5=96ae1d7a6261b97d8dc50453f13beb6f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0094243X; ISBN: 978-073544750-9 | CS; 2023-20234; Vol-1; 00261-00262 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kiruthika B., Gobi Arts &amp; Science College, Gobichettipalayam, India; Srinivasan B., Gobi Arts &amp; Science College, Gobichettipalayam, India; Poornima N.V., Christ University, Bangalore, India; Prabhusundhar P., Gobi Arts &amp; Science College, Gobichettipalayam, India Dublin Core 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/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core 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/. Title A name given to the resource FADA: Flooding Attack Defense AODV Protocol to counter Flooding Attack in MANET Subject The topic of the resource Denial of Service (DoS); FADA Protocol; Flooding attack; MANET; Throughput Description An account of the resource The intrinsic nature of a Mobile Ad hoc Network (MANET) makes it difficult to provide security and it is more vulnerable to network attacks. Denial of Service (DoS) attack can be executed using Flooding attack, that has the potential to bring down the entire network. This attack works by delivering an excessive number of unwanted packets that consumes too much battery life, storage space, and bandwidth, that eventually lowers the system's performance. In order to flood the network, the attacker injects fake packets into it. Both Control Packet flooding and Data flooding attacks are taken into account in this study. FADA (Flooding Attack Defense AODV) protocol is proposed to counter flooding attack that promotes greater utilization of existing resources. This research identifies the attack-causing node, isolates it and protects the network against flooding attack. Attack Detection Rate, Attack Detection Accuracy, End-to-end delay and Throughput are few metrics used for evaluation of the proposed model. NS-2.35 is used to demonstrate the efficiency of the suggested protocol and the results prove that the proposed model increases system's throughput while decreasing attack. The simulation results have shown that the proposed FADA protocol performs better than the existing models taken into consideration. 2023 IEEE. Creator An entity primarily responsible for making the resource Kiruthika M.; Krishnasamy L.; Samuel P.; Kanagaraj K. Source A related resource from which the described resource is derived Proceedings of IEEE 2023 5th International Conference on Advances in Electronics, Computers and Communications, ICAECC 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAECC59324.2023.10560115" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAECC59324.2023.10560115</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198407202&amp;doi=10.1109%2FICAECC59324.2023.10560115&amp;partnerID=40&amp;md5=7cf208f74599fe843fbdbeffcbc3d93e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198407202&amp;doi=10.1109%2fICAECC59324.2023.10560115&amp;partnerID=40&amp;md5=7cf208f74599fe843fbdbeffcbc3d93e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030544-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kiruthika M., School of Computing, SRM Institute of Science and Technology, Department of Computational Intelligence, Tamilnadu, Kattankulathur, India; Krishnasamy L., School of Engineering and Technology, Christ University, Department of Computer Science and Engineering, Karnataka, Bengaluru, India; Samuel P., School of Computing, SRM Institute of Science and Technology, Department of Computational Intelligence, Tamilnadu, Kattankulathur, India; Kanagaraj K., School of Computing, SRM Institute of Science and Technology, Department of Computational Intelligence, Tamilnadu, Kattankulathur, India Dublin Core 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/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core 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/. Title A name given to the resource Investigation on Preserving Privacy of Electronic Medical Record using Split Learning Subject The topic of the resource Healthcare; Patient data; Privacy; Security; Split Learning Description An account of the resource Artificial Intelligence is deployed in multiple areas, including healthcare. Utmost research is done in AI enabled healthcare industry because of the demands like accurate result, data security, exact prediction, huge volume of data, etc. In conventional deep learning models, the training happens with the dataset that are stored in a single device. This requires a huge storage space and highly efficient machines to train the data. Usage of big data, demands for innovative models that can be deployed and used in confined storage. Split learning is one such collaborative distributed deep learning model that allows the data to be stored in a split fashion. Split learning supports desirable features like less storage, more privacy to raw data, ability to work with resource constraints, etc., making it suitable for storing electronic medical record of patients. This paper discusses the advantages of using split learning for healthcare, the possible configurations of split learning that supports data privacy in healthcare and finally discusses the open research challenges in implementing split learning for healthcare. 2024 The Authors. Published by Elsevier B.V. Creator An entity primarily responsible for making the resource Kiruthika M.; Kumar A.; Krishnasamy L.; Sarveshwaran V. Source A related resource from which the described resource is derived Procedia Computer Science, Vol-233, pp. 614-622. Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.procs.2024.03.251" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.procs.2024.03.251</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192433820&amp;doi=10.1016%2Fj.procs.2024.03.251&amp;partnerID=40&amp;md5=96f40b4d76e04e80ad703a12a76b9e4d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192433820&amp;doi=10.1016%2fj.procs.2024.03.251&amp;partnerID=40&amp;md5=96f40b4d76e04e80ad703a12a76b9e4d</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 18770509 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kiruthika M., Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Tamilnadu, Kattankulathur, 603203, India; Kumar A., Punjab National Bank, New Delhi, 110075, India; Krishnasamy L., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bengaluru, 560074, India; Sarveshwaran V., Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Tamilnadu, Kattankulathur, 603203, India Dublin Core 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/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core 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/. Creator An entity primarily responsible for making the resource Kiruthika, D.; Fulgen, Maria; Nambiraj, L. Title A name given to the resource Deep Learning Driven Predictive Analytics Framework for Assessing Customer Satisfaction in Health Insurance Services Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2nd International Conference on Intelligent Systems for Cybersecurity, ISCS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ISCS69371.2025.11386199" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ISCS69371.2025.11386199</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034869226?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034869226?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kiruthika D., Dr. SNS Rajalakshmi College of Arts and Science (Autonomous), Department of Commerce with Computer Applications, Tamil Nadu, Coimbatore, India; Fulgen M., Christ Deemed to Be University, Department of Commerce, Bengaluru, India; Nambiraj L., Dr. SNS Rajalakshmi College of Arts and Science (Autonomous), Department of Commerce with Computer Applications, Tamil Nadu, Coimbatore, India Description An account of the resource The paper aims to design a predictive analytics platform based on deep learning that can measure the satisfaction of health insurance policyholders with accuracy. One of the major challenges in predicting customer satisfaction is the use of multiple sources of data. These sources also include unstructured consumer sentiments and official demographic and policy measures. The system that is suggested integrates a 1-D Convolutional Neural Network with TabNet, a deep attention-based neural network that is specifically good at handling tabular data. The two are combined to deal with inputs that are highly sentiment-loaded. To enable joint feature learning while maintaining interpretability, the dual-path architecture leverages feature attribution. The suggested method surpasses standard machine learning and isolated deep learning baselines accuracy more than 97% through experimental evaluation on a real-world LIC health insurance dataset. The findings provide the basis for an interpretable and scalable customer-oriented decision-making framework in health insurance. 2025 IEEE. Subject The topic of the resource Attention Mechanism; CNN; Customer Satisfaction; Deep Learning; Health Insurance; Hybrid Model; Interpretability; Predictive Analytics; Sentiment Analysis; TabNet Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833157243-3; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library