509 20 11858 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 Steganography using Improved LSB Approach and Asymmetric Cryptography Subject The topic of the resource Encryption; PSNR; RSA; Steganography Description An account of the resource Steganography deals with the craft of obscuring private data inside a spread media. In confidential data communication security is a vital issue. In this paper, we use a two-layer security. At first, data encryption is achieved by the method of RSA algorithm of asymmetric cryptography, and later the ciphered data is hidden into host image by an innovative embedding technique. To hide our ciphered data into host image, we modify the existing LSB technique and use a mapping function that ensures a secure and confidential image steganography resulting in a stego image. Here cryptography is blended with steganography and provides two level security in the confidential data transmission over the internet. 2020 IEEE. Creator An entity primarily responsible for making the resource Pramanik S.; Samanta D.; Dutta S.; Ghosh R.; Ghonge M.; Pandey D. Source A related resource from which the described resource is derived Proceedings of IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation, ICATMRI 2020 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICATMRI51801.2020.9398408" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICATMRI51801.2020.9398408</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104668788&doi=10.1109%2FICATMRI51801.2020.9398408&partnerID=40&md5=6328d2055b506110e48a6e5256c34fa5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104668788&doi=10.1109%2fICATMRI51801.2020.9398408&partnerID=40&md5=6328d2055b506110e48a6e5256c34fa5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172817734-2 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 Pramanik S., Haldia Institute of Technology, Haldia, India; Samanta D., CHRIST (Deemed to Be University), Bangalore, India; Dutta S., Institute of Engineering and Management, Kolkata, India; Ghosh R., Haldia Institute of Technology, Haldia, India; Ghonge M., Sandip Institute of Technology and Research Centre, India; Pandey D., India and Research Scholar, IET, Department of Technical Education, 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 Stereotype threat and psychological wellbeing in children of prisoners Subject The topic of the resource Children of prisoners; Psychological wellbeing; Stereotype perception; Stereotype threat Description An account of the resource Stereotypes are ideas that one holds regarding individuals because of their membership to a specific group. The current research was undertaken to study stereotype perception and stereotype threat on the psychological wellbeing of children of prisoners. Eight children of prisoners in the age range of 17 to 25 (females = 4), whose fathers were in prison for more than a year, participated in the study. Semi-structured interview method was used to collect data from the participants and data were analyzed using thematic network analysis method. Results revealed that children of prisoners strongly perceive stereotypes against them and they conform to stereotypes. Further to this, it was found that stereotype threat had positive effects in terms of increased goal-directed behavior and negative effects in terms of reduced happiness and increased feelings of anger and sadness. These Undings are discussed in light of previous literature on the effects of stereotypes on behavior. 2019 International Journal of Criminal Justice Sciences (IJCJS). Creator An entity primarily responsible for making the resource Nair S.; Sahu A.; Moosath H. Source A related resource from which the described resource is derived International Journal of Criminal Justice Sciences, Vol-14, No. 2, pp. 283-297. Publisher An entity responsible for making the resource available International Journal of Criminal Justice Sciences Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.5281/zenodo.3723118" target="_blank" rel="noreferrer noopener">https://doi.org/10.5281/zenodo.3723118</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084311805&doi=10.5281%2Fzenodo.3723118&partnerID=40&md5=387e1cea4faba243c59c1fec64552c15" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084311805&doi=10.5281%2fzenodo.3723118&partnerID=40&md5=387e1cea4faba243c59c1fec64552c15</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9735089 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 Nair S., Department of Psychology, CHRIST (Deemed to be University), Hosur Road, Bengaluru, Karnataka, 560032, India; Sahu A., Turiyan Psyneuronics Private Limited, Bengaluru, India; Moosath H., Department of Psychology, CHRIST (Deemed to be University), Hosur Road, Bengaluru, Karnataka, 560032, 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 Sterlite Technologies Ltd.: To Buy or Not to Buy is the Question Description An account of the resource [No abstract available] Creator An entity primarily responsible for making the resource Sinha A.; Ramdas R.; Pradeep K.V. Source A related resource from which the described resource is derived Asian Case Research Journal, Vol-26, No. 2, pp. 127-144. Publisher An entity responsible for making the resource available World Scientific 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="https://doi.org/10.1142/S0218927522500055" target="_blank" rel="noreferrer noopener">https://doi.org/10.1142/S0218927522500055</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131909006&doi=10.1142%2FS0218927522500055&partnerID=40&md5=367542435d5a1fe54961086a0355d883" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131909006&doi=10.1142%2fS0218927522500055&partnerID=40&md5=367542435d5a1fe54961086a0355d883</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2189275 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 Sinha A., ICFAI Foundation for Higher Education, Telangana, Hyderabad, India; Ramdas R., School of Business and Management, Christ (Deemed to be University), Karnataka, Bengaluru, India; Pradeep K.V., Jain (Deemed-to-be University), Kerala, Kochi, 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 Stiffness of a single layered cable assembly over a sheave with internal friction Subject The topic of the resource Free bending; Frictional force; Interfacial force; Stiffness analysis Description An account of the resource The stiffness response of a single layered helical strand with a straight core surrounded by a layer of six helical wires has been made with improved relations of wire curvatures & twist and with internal friction considerations. The stranded cable undergoes a constant curvature bending over a sheave/pulley under static loading conditions and experiences the combinations of tension, torsion and bending loadings. A new analytical model has been developed for the cable in contact with the pulley/sheave using thin rod theory under linear elastic conditions. The stiffness coefficients of the cable are evaluated in free bending and constrained bending modes. The resulting wire strains are evaluated and compared with the experimental results. IAEME Publication Creator An entity primarily responsible for making the resource Rajesh Kumar P.; Parthasarathy N.S. Source A related resource from which the described resource is derived International Journal of Mechanical Engineering and Technology, Vol-9, No. 4, pp. 156-168. 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> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045957616&partnerID=40&md5=1a1b7fce26f6d746836ba2e248f0dc20" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045957616&partnerID=40&md5=1a1b7fce26f6d746836ba2e248f0dc20</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9766340 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 Rajesh Kumar P., Mechanical Engineering Department, MVJ College of Engineering, Bangalore, India; Parthasarathy N.S., Mechanical Engineering Department, Christ (Deemed to be 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 Stigma among COVID-19 patients in South India-A cross-sectional study Subject The topic of the resource COVID-19; home isolation; hospital care; stigma Description An account of the resource Background: COVID-19 has a significant biopsychosocial impact on the lives of people who are infected, with the stigma associated with the illness being one of the major issues. However, the level of stigma based on demographics, gender differences, hospital-based or home-based care is yet to be explored. Hence, this study aimed to infer the level of stigma between these groups in the urban district of south India. Materials and Methods: This cross-sectional study recruited 50 participants who were recently infected with COVID-19 and were receiving either hospital or home-based care. The stigma was assessed using a standardized questionnaire which has four domains. MannWhitney U test was conducted to analyze the data. Results: Median age is 54 years and the majority of the participants are male (74%). The mean score of enacted stigma subscale was 4.48, disclosure fear was 2.34, internalized stigma was 2.82, perceived externalized stigma was 7.32 and the total stigma mean score was 17. The perceived externalized stigma subscale was higher in males (7.57 5.96) when compared to females 6.62 5.53. Total stigma scores were higher for males 17.2 10.1 when compared to females 16.2 10.5. The total stigma score was more (17 10.3) among home isolated COVID patients as compared to hospitalized patients (16.9 10.2). Conclusion: Increased levels of stigma among COVID-19 patients have various important psychosocial implications. This study highlights the need for larger prospective cohort studies to further understand stigma in the context of COVID-19. 2022 by the Author(s). Creator An entity primarily responsible for making the resource Shetty K.V.; Amaresha A.C.; Bamney U.; Rajkumar R.P.; Srivastava P.; Mahesh G. Source A related resource from which the described resource is derived Archives of Mental Health, Vol-23, No. 2, pp. 123-128. Publisher An entity responsible for making the resource available Wolters Kluwer Medknow Publications 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="https://doi.org/10.4103/amh.amh_189_21" target="_blank" rel="noreferrer noopener">https://doi.org/10.4103/amh.amh_189_21</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149918617&doi=10.4103%2Famh.amh_189_21&partnerID=40&md5=ff49f7ef0ea191ae2f0e420b2bf3c7b3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149918617&doi=10.4103%2famh.amh_189_21&partnerID=40&md5=ff49f7ef0ea191ae2f0e420b2bf3c7b3</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25899171 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 Shetty K.V., School of Social Work, Ignou, New Delhi, India; Amaresha A.C., Department of Sociology and Social Work, Christ (Deemed to Be University), Karnataka, Bengaluru, India; Bamney U., Department of Social Work, Central University of Karnataka, Karnataka, Kalaburagi, India; Rajkumar R.P., Department of Psychiatry, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India; Srivastava P., Department of Clinical Psychology, Institute of Psychiatry, West Bengal, Kolkata, India; Mahesh G., School of Social Work, Ignou, New Delhi, 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 Reviews Review Faculty Publications- Reviews 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 Stilbenes, a Versatile Class of Natural Metabolites for InflammationAn Overview Subject The topic of the resource inflammation; plant secondary metabolites; resveratrol; stilbenes; viniferins; Vitis vinifera Description An account of the resource Stilbenes are polyphenolic allelochemicals synthesized by plants, especially grapes, peanuts, rhubarb, berries, etc., to defend themselves under stressful conditions. They are now exploited in medicine for their antioxidant, anti-proliferative and anti-inflammatory properties. Inflammation is the immune systems response to invading bacteria, toxic chemicals or even nutrient-deprived conditions. It is characterized by the release of cytokines which can wreak havoc on healthy tissues, worsening the disease condition. Stilbenes modulate NF-?B, MAPK and JAK/STAT pathways, and reduce the transcription of inflammatory factors which result in maintenance of homeostatic conditions. Resveratrol, the most studied stilbene, lowers the Michaelis constant of SIRT1, and occupies the substrate binding pocket. Gigantol interferes with the complement system. Besides these, oxyresveratrol, pterostilbene, polydatin, viniferins, etc., are front runners as drug candidates due to their diverse effects from different functional groups that affect bioavailability and molecular interactions. However, they each have different thresholds for toxicity to various cells of the human body, and thus a careful review of their properties must be conducted. In animal models of autoinflammatory diseases, the mode of application of stilbenes is important to their absorption and curative effects, as seen with topical and microemulsion gel methods. This review covers the diversity seen among stilbenes in the plant kingdom and their mechanism of action on the different inflammatory pathways. In detail, macrophages contribution to inflamed conditions in the liver, the cardiac, connective and neural tissues, in the nephrons, intestine, lungs and in myriad other body cells is explored, along with detailed explanation on how stilbenes alleviate the symptoms specific to body site. A section on the bioavailability of stilbenes is included for understanding the limitations of the natural compounds as directly used drugs due to their rapid metabolism. Current delivery mechanisms include sulphonamides, or using specially designed synthetic drugs. It is hoped that further research may be fueled by this comprehensive work that makes a compelling argument for the exploitation of these compounds in medicine. 2023 by the authors. Creator An entity primarily responsible for making the resource Al-Khayri J.M.; Mascarenhas R.; Harish H.M.; Gowda Y.; Lakshmaiah V.V.; Nagella P.; Al-Mssallem M.Q.; Alessa F.M.; Almaghasla M.I.; Rezk A.A.-S. Source A related resource from which the described resource is derived Molecules, Vol-28, No. 9 Publisher An entity responsible for making the resource available 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/molecules28093786" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/molecules28093786</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159271506&doi=10.3390%2Fmolecules28093786&partnerID=40&md5=83cac4fc92747d4ed5959ba63d848796" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159271506&doi=10.3390%2fmolecules28093786&partnerID=40&md5=83cac4fc92747d4ed5959ba63d848796</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: 14203049; PubMed ID: 37175197; CODEN: MOLEF 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 Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; Mascarenhas R., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore, 560029, India; Harish H.M., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore, 560029, India; Gowda Y., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore, 560029, India; Lakshmaiah V.V., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore, 560029, India; Nagella P., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore, 560029, India; Al-Mssallem M.Q., Department of Food Science and Nutrition, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; Alessa F.M., Department of Food Science and Nutrition, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; Almaghasla M.I., Department of Arid Land Agriculture, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia, Plant Pests, and Diseases Unit, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; Rezk A.A.-S., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia, Department of Virus and Phytoplasma, Plant Pathology Institute, Agricultural Research Center, Giza, 12619, Egypt 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 Still Waters Run Deep: Groundwater Contamination and Education Outcomes in India Subject The topic of the resource Education; Health; India; Water pollution Description An account of the resource We investigate the impact of groundwater contamination on educational outcomes in India. Our study leverages variations in the geographical coverage and timing of construction of safe government piped water schemes to identify the effects of exposure to contaminants. Using self-collected survey data from public schools in Assam, one of the most groundwater-contaminated regions in India, we find that prolonged exposure to unsafe groundwater is associated with increased school absenteeism, grade retention, and decreased test scores and Cumulative Grade Point Average (CGPA). To complement our findings and to study the effect of one such contaminant, arsenic, we use a large nationally representative household survey. Using variations in soil textures across districts as an instrument for arsenic concentration levels we find that exposure to arsenic beyond safe threshold levels is negatively associated with school attendance. 2024 Elsevier Ltd Creator An entity primarily responsible for making the resource Aggarwal K.; Barua R.; Vidal-Fernandez M. Source A related resource from which the described resource is derived Economics of Education Review, Vol-100 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.econedurev.2024.102525" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.econedurev.2024.102525</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189086925&doi=10.1016%2Fj.econedurev.2024.102525&partnerID=40&md5=0164db63036c441c5228ff1baa44fb22" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189086925&doi=10.1016%2fj.econedurev.2024.102525&partnerID=40&md5=0164db63036c441c5228ff1baa44fb22</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 2727757 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 Aggarwal K., Christ University, India; Barua R., Centre for International Trade and Development (CITD), Jawaharlal Nehru University (JNU), India; Vidal-Fernandez M., The University of Sydney, Australia 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 Stir Speed and Reinforcement Effects on Tensile Strength in Al-Based Composites Subject The topic of the resource AMCs; Squeeze casting and optimization Techniques Description An account of the resource This study focuses on the preparation of Al-based hybrid composites using AA7475 as the main alloy reinforced with two materials, ZrO2 and SiC. The combination of stir-squeeze processing techniques was employed to create various specimens by varying four parameters: Stir-speed, Stir-time, reinforcements, and squeeze pressure. Taguchi design was utilized to generate specimens for analyzing their mechanical properties, specifically tensile strength, hardness, and porosity.The results indicated that the highest porosity (4.44%) was observed in the L16 test, with a combination of 700rpm stir speed, 25 mins stir time, 2wt% reinforcements, and 80MPa squeeze pressure. On the other hand, the lowest porosity (2.61%) was found in the L7 test, with 800rpm stir speed, 30 mins stir time, 2wt% reinforcements, and 100 MPa squeeze pressure.Regarding tensile strength (UTS), the maximum value (285.23MPa) was achieved in the L13 experiment, while the minimum value (187.58 MPa) was observed in the L1 experiment. This variation in UTS can be attributed to the applied load, the strengthening effect of the reinforcements, and the grain size of SiC. 2024 E3S Web of Conferences Creator An entity primarily responsible for making the resource Rajendran S.; Arulpandy P.; Reena R.; Thakur G.; Al-Jawahry H.M. Source A related resource from which the described resource is derived E3S Web of Conferences, Vol-491 Publisher An entity responsible for making the resource available EDP Sciences 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/10.1051/e3sconf/202449104020" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/e3sconf/202449104020</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188292214&doi=10.1051%2Fe3sconf%2F202449104020&partnerID=40&md5=9fe90bf254ab1043f539a4ed4b4483d8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188292214&doi=10.1051%2fe3sconf%2f202449104020&partnerID=40&md5=9fe90bf254ab1043f539a4ed4b4483d8</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25550403 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 Rajendran S., Department of Mechanical Engineering, Jaya Engineering College, Chennai, India; Arulpandy P., Department of Mathematics, Christ (Deemed to Be University), Karnataka, Bangalore, 560073, India; Reena R., Department of Computer Science and Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, 600 127, India; Thakur G., Department of Civil Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007, India; Al-Jawahry H.M., The Islamic University, Najaf, Iraq 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 Stirling number of the fourth kind and Lucky partitions of a finite set Subject The topic of the resource Bell number; Lucky partition; Stirling number of the fourth kind; Stirling number of the second kind Description An account of the resource The concept of Lucky k-polynomials and in particular Lucky ?polynomials was recently introduced. This paper introduces Stirling number of the fourth kind and Lucky partitions of a finite set in order to determine either the Lucky k- or Lucky ?-polynomial of a graph. The integer partitions influence Stirling partitions of the second kind. 2021 Azarbaijan Shahid Madani University. Creator An entity primarily responsible for making the resource Kok J.; Kureethara J.V. Source A related resource from which the described resource is derived Communications in Combinatorics and Optimization, Vol-6, No. 2, pp. 211-219. Publisher An entity responsible for making the resource available Azarbaijan Shahid Madani University 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/10.22049/CCO.2020.26895.1158" target="_blank" rel="noreferrer noopener">https://doi.org/10.22049/CCO.2020.26895.1158</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106005357&doi=10.22049%2FCCO.2020.26895.1158&partnerID=40&md5=b78d09cde803336284dc46fc867bba39" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106005357&doi=10.22049%2fCCO.2020.26895.1158&partnerID=40&md5=b78d09cde803336284dc46fc867bba39</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25382128 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 Kok J., City of Tshwane, South Africa; Kureethara J.V., Department of Mathematics, Christ 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 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 STOCHASTIC BEHAVIOUR OF AN ELECTRONIC SYSTEM SUBJECT TO MACHINE AND OPERATOR FAILURE Subject The topic of the resource Electronic System; Operator Failure; Regenerative Point Technique; Reliability Measures; semi-Markov Process; Stochastic Analysis Description An account of the resource A stochastic model is developed by assuming the human (operator) redundancy in cold standby. For constructing this model, one unit is taken as electronic system which consists of hardware and software components and another unit is operator (human being). The system can be failed due to hardware failure, software failure and human failure. The failed hardware component goes under repair immediately and software goes for upgradation. The operator is subjected to failure during the manual operation. There are two separate service facilities in which one repairs/upgrades the hardware/software component of the electronic system and other gives the treatment to operator. The failure rates of components and operator are considered as constant. The repair rates of hardware/software components and human treatment rate follow arbitrary distributions with different pdfs. The state transition diagram and transition probabilities of the model are constructed by using the concepts of semi-Markov process (SMP) and regenerative point technique (RPT). These same concepts have been used for deriving the expressions (in steady state) for reliability measures or indices. The behavior of some important measures has been shown graphically by taking the particular values of the parameters. 2024, Gnedenko Forum. All rights reserved. Creator An entity primarily responsible for making the resource Malik S.; Komal; Yadav R.K.; Anju Source A related resource from which the described resource is derived Reliability: Theory and Applications, Vol-19, No. 4, pp. 353-363. Publisher An entity responsible for making the resource available Gnedenko Forum 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/10.24412/1932-2321-2024-480-353-363" target="_blank" rel="noreferrer noopener">https://doi.org/10.24412/1932-2321-2024-480-353-363</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216331981&doi=10.24412%2F1932-2321-2024-480-353-363&partnerID=40&md5=35c01c173913d6ac3b79c982bb9f599c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216331981&doi=10.24412%2f1932-2321-2024-480-353-363&partnerID=40&md5=35c01c173913d6ac3b79c982bb9f599c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19322321 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 Malik S., Department of Mathematics, Baba Mastnath University, Rohtak, India; Komal, Department of Mathematics, Baba Mastnath University, Rohtak, India; Yadav R.K., School of Sciences, Christ University, Bengaluru, India; Anju, Department of Mathematics, Baba Mastnath University, Rohtak, 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 Stochastic frontier analysis to measure technical efficiency: Evidence from skilled and unskilled agricultural labour in india Subject The topic of the resource Mustard production; Skilled/ Unskilled Labour; Stochastic frontier analysis; Technical efficiency Description An account of the resource This paper comprises the stochastic frontier model which has been applied to measure the technical efficiency of skilled and unskilled labour. By considering the certain input variables listed in the cost of cultivation suggested by the Commission of Agricultural Costs and Prices (CACP) for Indian states during the main cropping season. Result of the study shows that the evaluated average technical efficiency estimates have been found between 71 to 84 % for both type of labour. Factors i.e. use of seeds (77 % efficient), fertilizers (29 % inefficient), manure (3 % efficient), land, human (9 % efficient), attached (10 % efficient) and casual (103 % efficient) labor, animal labor (is between 1 to 4 % efficient), hired machine (33 % inefficient), owned machine (7 % efficient), insecticides (20 % efficient), irrigational cost (31 % efficient), fixed cost (36 % inefficient) and operational cost (197 % inefficient) have a significant at 1, 5 and 10 % level of significance1. 2020 DAV College. All rights reserved. Creator An entity primarily responsible for making the resource Dagar V.; Bansal E.; Murshed M.; Mishra V.; Alvarado R.; Kumar A.; Anser M.K. Source A related resource from which the described resource is derived International Journal of Agricultural and Statistical Sciences, Vol-16, No. 2, pp. 647-657. Publisher An entity responsible for making the resource available DAV College 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099446133&partnerID=40&md5=90d04007532616f5de7d16c28378413c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099446133&partnerID=40&md5=90d04007532616f5de7d16c28378413c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9731903 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 Dagar V., Amity School of Economics (ASE), Amity University, Noida, 201 303, India; Bansal E., Janki Devi Memorial College, University of Delhi, New Delhi, 110 060, India; Murshed M., School of Business and Economics, North South University, Dhaka, 1209, Bangladesh; Mishra V., Department of Economics, Christ University, Bangalore, Karnataka, 560 076, India; Alvarado R., Carrera de Economia, Universidad Nacional de Loja, Loja, 110 150, Ecuador; Kumar A., Dept. of Economics and Public Policy, Central University of Himachal Pradesh, Dharamshala, Kangra, 176 215, India; Anser M.K., School of Public Administration, Xi'an University of Architecture and Technology, Xi'an, Shaanxi, 710 055, China 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 Stock Market Efficiency and COVID-19 with Multiple Structural Breaks: Evidence from India Subject The topic of the resource automatic portmanteau test; COVID-19; India; Stock market efficiency; wild bootstrap automatic variance ratio test Description An account of the resource The objective of the study is to investigate the influence of the coronavirus pandemic (endogenous crisis) on the stock market efficiency of India during the multiple break periods. The empirical analysis is performed using conditional heteroscedasticity and a small sample robust wild bootstrap automatic variance ratio test and automatic portmanteau test on a daily stock return data of two benchmark indices, that is, NIFTY and SENSEX. The empirical results demonstrate that the stock return of two indices deviates from market efficiency during some periods of the analysis, notably during the nationwide lockdown and peak periods of coronavirus cases in India. These findings indicate that changing stock market behaviour becomes more speculative and earns abnormal profits. To the best of the authors knowledge, this study provides the first evidence of investigating the variations in the stock market efficiency of India in response to this endogenous crisis. 2022 International Management Institute, New Delhi. Creator An entity primarily responsible for making the resource Bhatia M. Source A related resource from which the described resource is derived Global Business Review Publisher An entity responsible for making the resource available Sage Publications India Pvt. Ltd 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="https://doi.org/10.1177/09721509221110372" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/09721509221110372</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134316676&doi=10.1177%2F09721509221110372&partnerID=40&md5=802df0f229fcba8db33baf72b3295ad7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134316676&doi=10.1177%2f09721509221110372&partnerID=40&md5=802df0f229fcba8db33baf72b3295ad7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9721509 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 Bhatia M., Christ (Deemed-To-Be) University, Delhi-NCR Campus, India, Indian Institute of Technology, Uttarakhand, Roorkee, 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 Stock Market Linkages in Emerging Asia-Pacific Markets Subject The topic of the resource Department of Economics Description An account of the resource Stock Market Linkages in Emerging Asia-Pacific Markets Creator An entity primarily responsible for making the resource Srinivasan Palamalai and Christopher Devakumar Source A related resource from which the described resource is derived <a href="https://journals.sagepub.com/doi/full/10.1177/2158244013514060" target="_blank" title="Click Here" rel="noreferrer noopener">https://journals.sagepub.com/doi/full/10.1177/2158244013514060</a> Publisher An entity responsible for making the resource available SAGE Journals Date A point or period of time associated with an event in the lifecycle of the resource 2013 Language A language of the resource English Type The nature or genre of the resource Article 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 Stock market linkages in emerging Asia-Pacific markets Subject The topic of the resource Cointegration; Stock market integration; Variance decomposition analysis; Vector error correction model Description An account of the resource This study examines the stock market integration among major stock markets of emerging Asia-Pacific economies, viz. India, Malaysia, Hong Kong, Singapore, South Korea, Taiwan, Japan, China, and Indonesia. The Johansen and Juselius multivariate cointegration test, Granger causality/Block exogeneity Wald test based on the vector error correction model (VECM) approach, and variance decomposition analysis were used to investigate the dynamic linkages between markets. Cointegration test confirmed a well-defined long-run equilibrium relationship among the major stock markets, implying that there exists a common force, such as arbitrage activity, which brings these stock markets together in the long run. The results of Granger causality/Block exogeneity Wald test based on VECM and variance decomposition analysis revealed the stock market interdependencies and dynamic interactions among the selected emerging Asia-Pacific economies. This result implies that investors can gain feasible benefits from international portfolio diversification in the short run. On the whole, the study results suggest that although long-term diversification benefits from exposure to these markets might be limited, short-run benefits might exist due to substantial transitory fluctuations. The Author(s) 2013. Creator An entity primarily responsible for making the resource Palamalai S.; Kalaivani M.; Devakumar C. Source A related resource from which the described resource is derived SAGE Open, Vol-3, No. 4 Publisher An entity responsible for making the resource available SAGE Publications Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2013-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/2158244013514060" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/2158244013514060</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907909088&doi=10.1177%2F2158244013514060&partnerID=40&md5=3b772451cb87dd06cc9a2880dd59acd9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907909088&doi=10.1177%2f2158244013514060&partnerID=40&md5=3b772451cb87dd06cc9a2880dd59acd9</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21582440 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 Palamalai S., Christ University, Bangalore, Karnataka, India; Kalaivani M., MGR College of Arts and Sciences, Hosur, Krishnagiri, Tamil Nadu, India; Devakumar C., Christ University, Bangalore, 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 Stock market prediction employing ensemble methods: the Nifty50 index Subject The topic of the resource Bagging; Boosting; Fundamental analysis; Machine learning; National stock exchange fifty; Stacking; Stock market forecasting Description An account of the resource Accurately forecasting stock fluctuations can yield high investment returns while minimizing risk. However, market volatility makes these projections unlikely. As a result, stock market data analysis is significant for research. Analysts and researchers have developed various stock price prediction systems to help investors make informed judgments. Extensive studies show that machine learning can anticipate markets by examining stock data. This article proposed and evaluated different ensemble learning techniques such as max voting, bagging, boosting, and stacking to forecast the Nifty50 index efficiently. In addition, an embedded feature selection is performed to choose an optimal set of fundamental indicators as input to the model, and extensive hyperparameter tuning is applied using grid search to each base regressor to enhance performance. Our findings suggest the bagging and stacking ensemble models with random forest (RF) feature selection offer lower error rates. The bagging and stacking regressor model 2 outperformed all other models with the lowest root mean square error (RMSE) of 0.0084 and 0.0085, respectively, showing a better fit of ensemble regressors. Finally, the findings show that machine learning algorithms can help fundamental analyses make stock investment decisions. 2024, Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Manjunath C.; Marimuthu B.; Ghosh B. Source A related resource from which the described resource is derived IAES International Journal of Artificial Intelligence, Vol-13, No. 2, pp. 2047-2057. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science 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/10.11591/ijai.v13.i2.pp2049-2059" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijai.v13.i2.pp2049-2059</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192996983&doi=10.11591%2Fijai.v13.i2.pp2049-2059&partnerID=40&md5=defcf1993f4e9872d40f39c2da5ffd84" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192996983&doi=10.11591%2fijai.v13.i2.pp2049-2059&partnerID=40&md5=defcf1993f4e9872d40f39c2da5ffd84</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 20894872 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 Manjunath C., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Bengaluru, India; Marimuthu B., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Bengaluru, India; Ghosh B., Symbiosis Institute of Business Management, Symbiosis International (Deemed 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 Stock Market Prediction Techniques Using Artificial Intelligence: A Systematic Review Subject The topic of the resource Artificial intelligence; Deep learning; Expert systems; Forecasting; Hybrid learning; Machine learning; Stock market Description An account of the resource This paper systematically reviews the literature related to stock price prediction systems. The reviewers collected 6222 research works from 12 databases. The reviewers reviewed the full-text of 10 studies in preliminary search and 70 studies selected based on PRISMA. This paper uses the PRISMA-based Python framework systematic-reviewpy to conduct this systematic review and browser-automationpy to automate downloading of full-texts. The programming code with comprehensive documentation, citation data, input variables, and reviews spreadsheets is provided, making this review replicable, open-source, and free from human errors in selecting studies. The reviewed literature is categorized based on type of prediction systems to demonstrate the evolution of techniques and research gaps. The reviewed literature is 7 % statistical, 9% machine learning, 23% deep learning, 20% hybrid, 25% combination of machine learning and deep learning, and 14% studies explore multiple categories of techniques. This review provides detailed information on prediction techniques, competitor techniques, performance metrics, input variables, data timing, and research gap to enable researchers to create prediction systems per technique category. The review showed that stock trading data is most used and collected from Yahoo! Finance. Studies showed that sentiment data improved stock prediction, and most papers used tweets from Twitter. Most of the reviewed studies showed significant improvements in predictions to previous systems. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Chaudhari C.; Purswani G. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-608, pp. 219-233. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-9225-4_17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-9225-4_17</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150980723&doi=10.1007%2F978-981-19-9225-4_17&partnerID=40&md5=74ef09d14b4d836e3fe149c5c3b30bf4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150980723&doi=10.1007%2f978-981-19-9225-4_17&partnerID=40&md5=74ef09d14b4d836e3fe149c5c3b30bf4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981199224-7 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 Chaudhari C., Department of Commerce, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Purswani G., Department of Commerce, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India https://archives.christuniversity.in/files/original/f7fb83a9c774547a6f94e970c536a5a1.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 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 Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents 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 Stock market prediction using artificial neural networks in python / Subject The topic of the resource Stock Market Description An account of the resource Patent Number: 202231052415, Applicant: Dr. Rashel Sarkar. When the issue of forecasting time series is mentioned, the reader, listener, or observer instantly considers forecasting stock prices. This should help individuals determine when to sell and when to purchase more. On occasion, we encounter resources that explain how this is possible. Throughout Deep Learning with Python, Chollet cautions against using time series prediction algorithms to estimate market values. You should not attempt to predict how the stock market will behave in the future based on past performance. Due to the design of the martingale system, the present price of a share of stock is the most accurate indicator of its future price (in terms of the error associated with estimation). Creator An entity primarily responsible for making the resource Das, Tapas. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1uBRTrq5NnwXBNu9l6AdotIvT7dh4ujOY/view" target="_blank" title="Stock market prediction using artificial neural networks in python /" rel="noreferrer noopener">https://drive.google.com/file/d/1uBRTrq5NnwXBNu9l6AdotIvT7dh4ujOY/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/2c4cba26dc7fab43d7cf65029870c547.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 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 Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents 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 Stock market prediction using artificial neural networks in python / Subject The topic of the resource Stock Market Description An account of the resource Patent Number: 202231052415, Applicant: Dr. Rashel Sarkar. When the issue of forecasting time series is mentioned, the reader, listener, or observer instantly considers forecasting stock prices. This should help individuals determine when to sell and when to purchase more. On occasion, we encounter resources that explain how this is possible. Throughout Deep Learning with Python, Chollet cautions against using time series prediction algorithms to estimate market values. You should not attempt to predict how the stock market will behave in the future based on past performance. Due to the design of the martingale system, the present price of a share of stock is the most accurate indicator of its future price (in terms of the error associated with estimation). Creator An entity primarily responsible for making the resource Das, Sheshanwita. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1uBRTrq5NnwXBNu9l6AdotIvT7dh4ujOY/view" target="_blank" title="Stock market prediction using artificial neural networks in python /" rel="noreferrer noopener">https://drive.google.com/file/d/1uBRTrq5NnwXBNu9l6AdotIvT7dh4ujOY/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/8363fdbc1af9f0ddf41f7e335624afc5.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 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 Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents 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 Stock market prediction using artificial neural networks in python / Subject The topic of the resource Stock Market Description An account of the resource Patent Number: 202231052415, Applicant: Dr. Rashel Sarkar. When the issue of forecasting time series is mentioned, the reader, listener, or observer instantly considers forecasting stock prices. This should help individuals determine when to sell and when to purchase more. On occasion, we encounter resources that explain how this is possible. Throughout Deep Learning with Python, Chollet cautions against using time series prediction algorithms to estimate market values. You should not attempt to predict how the stock market will behave in the future based on past performance. Due to the design of the martingale system, the present price of a share of stock is the most accurate indicator of its future price (in terms of the error associated with estimation). Creator An entity primarily responsible for making the resource Ganguly, Deeksha Gupta. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1uBRTrq5NnwXBNu9l6AdotIvT7dh4ujOY/view" target="_blank" title="Stock market prediction using artificial neural networks in python /" rel="noreferrer noopener">https://drive.google.com/file/d/1uBRTrq5NnwXBNu9l6AdotIvT7dh4ujOY/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Stock market prediction using DQN with DQNReg loss function Description An account of the resource There have been many developments in predicting stock market prices using reinforcement learning. Recently, Google released a paper that designed a new loss function, specifically for meta-learning reinforcement learning. In this paper, implementation is done using this loss function to the reinforcement learning model, whose objective is to predict the stock price based on certain parameters. The reinforcement learning used is an encoderdecoder framework that is useful for extracting features from long sequence prices. The DQNReg loss function is implemented in the encoder-decoder model as it could provide strong adaptation performance in a variety of settings. The model can buy and sell the index, and the reward is the portfolio return after the days trading has concluded. To maximize yield the model must optimize reward function. The DQNReg loss implemented DQN network and the Huber loss DQN network is compared with the Sharpe ratio considered for return. 2024 selection and editorial matter, Arvind Dagur, Karan Singh, Pawan Singh Mehra & Dhirendra Kumar Shukla; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Sebastian A.; Habis K.V.; Shukla S. Source A related resource from which the described resource is derived Artificial Intelligence, Blockchain, Computing and Security: Volume 1, Vol-1, pp. 58-63. Publisher An entity responsible for making the resource available CRC Press 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/10.1201/9781003393580-10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003393580-10</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180055152&doi=10.1201%2F9781003393580-10&partnerID=40&md5=0f0e68e7264bd2cbb13cf0140e743dd3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180055152&doi=10.1201%2f9781003393580-10&partnerID=40&md5=0f0e68e7264bd2cbb13cf0140e743dd3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100384581-2; 978-103249393-0 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sebastian A., Department of Computer Science Christ University, Bangalore, India; Habis K.V., Department of Computer Science Christ University, Bangalore, India; Shukla S., Department of Computer Science Christ University, Bangalore, India