281 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 LBP-GLZM Based Hybrid Model for Classification of Breast Cancer Subject The topic of the resource Augmentation; Breast Cancer; CNN; DDSM; GLZM; LBP Description An account of the resource Classifying mammogram images is difficult because of their complex backgrounds and the differences in resolutions across the images. One of the toughest parts is telling the difference between harmless (benign) and harmful (malignant) tissue. This is hard because the differences between them are incredibly subtle. As a consequence, the distinctive features embedded within tissue patches become not just relevant but critical for the accurate and automatic classification of these images. Traditionally, efforts to automate this classification process have encountered limitations when relying on a singular feature or a restricted set of characteristics. The subtle variations in texture within these images often render such approaches insufficient in achieving high-quality categorization results. Recognizing this, the present investigation undertakes a more comprehensive approach by incorporating distinct feature extraction techniques - specifically, the utilization of Local Binary Pattern (LBP) and Gray Level Zone Matrix (GLZM). These techniques are adept at capturing and delineating the nuanced texture features inherent in mammogram images. By extracting and analyzing these textural nuances, the aim is to construct a hybrid model capable of classifying mammograms into three distinct categories: malignant, benign, and without the necessity for further examination or follow-up. This proposed hybrid model holds significant promise in the field of mammography classification by leveraging the strengths and complementary attributes of multiple feature extraction methods. The integration of LBP and GLZM aims not only to enhance the accuracy of classification but also to improve the robustness of the system in identifying subtle yet crucial differences in tissue textures. Ultimately, the goal is to create a hybrid feature extraction framework that augments the diagnostic capabilities of mammography, providing more precise and reliable categorization of breast tissue for effective medical decision-making and patient care. 2024 IEEE. Creator An entity primarily responsible for making the resource Mahapatra D.; Umme Salma M. Source A related resource from which the described resource is derived Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp. 305-310. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICWITE59797.2024.10503412" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICWITE59797.2024.10503412</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192560889&doi=10.1109%2FICWITE59797.2024.10503412&partnerID=40&md5=4ef67843eb115bce4bb66789fa35b195" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192560889&doi=10.1109%2fICWITE59797.2024.10503412&partnerID=40&md5=4ef67843eb115bce4bb66789fa35b195</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038328-7 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 Mahapatra D., Christ (Deemed to Be University), Department of Statistics and Data Science, Karnataka, Bengaluru, India; Umme Salma M., Christ (Deemed to Be University), Department of Statistics and Data Science, Karnataka, 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 Energy harvesting using two-dimensional magnesiochromite (MgCr2O4) Subject The topic of the resource Device; DFT; Flexoelectricity; MgCr2O4; Two-dimensional material Description An account of the resource Two-dimensional (2D) materials with high surface activity can be utilized for harvesting energy from small mechanical sources using flexoelectricity. In the present work, we have synthesized an atomically thin 2D spinel MgCr2O4 by a liquid-phase exfoliation process, and characterization shows the preferential exfoliation along the (111) plane with low formation energy. The fabricated flexoelectric device produces an electrical response up to ?3 V (peak-to-peak voltage) upon pressing and releasing the cell with ?0.98 N force. Furthermore, the energy harvesting properties of 2D MgCr2O4 are explored by combining bending with other sources of external energy, with applied varying magnetic flux (Vmax = ?2.6 V) and temperature with 0.9 N force (Vmax = ?18 V). Our calculations determine that 2D MgCr2O4 has a flexoelectric coefficient of approximately ?XZXZ = 0.005 nC/m. Overall, the results indicate that 2D MgCr2O4 is a very promising material for the next generation of self-powered wearable electronics and energy harvesting. 2023 Elsevier Ltd Creator An entity primarily responsible for making the resource Mahapatra P.L.; Singh A.K.; Tromer R.; Kumbhakar P.; Sinha S.K.; Lahiri B.; Kundu T.K.; Galvao D.S.; Tiwary C.S. Source A related resource from which the described resource is derived Materials Today Nano, Vol-23 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.mtnano.2023.100374" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.mtnano.2023.100374</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165357418&doi=10.1016%2Fj.mtnano.2023.100374&partnerID=40&md5=15fa984054593ab753085885c0c54ffa" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165357418&doi=10.1016%2fj.mtnano.2023.100374&partnerID=40&md5=15fa984054593ab753085885c0c54ffa</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25888420 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 Mahapatra P.L., School of Nano Science and Technology, Indian Institute of Technology, West Bengal, Kharagpur, 721302, India; Singh A.K., Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, 721302, India; Tromer R., Applied Physics Department and Center for Computing in Engineering and Sciences, University of Campinas, Campinas, S Paulo, Brazil; Kumbhakar P., Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, 721302, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Sinha S.K., Department of Materials Engineering, Indian Institute of Science, Bangalore, 560012, India; Lahiri B., Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, 721302, India; Kundu T.K., Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, 721302, India; Galvao D.S., Applied Physics Department and Center for Computing in Engineering and Sciences, University of Campinas, Campinas, S Paulo, Brazil; Tiwary C.S., Metallurgical and Materials Engineering, Indian Institute of Technology, Kharagpur, 721302, 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 Deep vs. Shallow: A Comparative Study of Machine Learning and Deep Learning Approaches for Fake Health News Detection Subject The topic of the resource classification; deep learning; Fake news; healthcare; machine learning; readability features Description An account of the resource Internet explosion and penetration have amplified the fake news problem that existed even before Internet penetration. This becomes more of a concern, if the news is health-related. To address this issue, this research proposes Content Based Models (CBM) and Feature Based Models (FBM). The difference between the two models lies in the input provided. The CBM only takes news content as the input, whereas the FBM along with the content also takes two readability features as the input. Under each category, the performance of five traditional machine learning techniques: - Decision Tree, Random Forest, Support Vector Machine, AdaBoost-Decision Tree and AdaBoost-Random Forest is compared with two hybrid Deep Learning approaches, namely CNN-LSTM and CNN-BiLSTM. The Fake News Healthcare dataset comprising 9581 articles was utilized for the study. Easy Data Augmentation technique is used to balance this highly imbalanced dataset. The experimental results demonstrate that Feature Based Models perform better than Content Based Models. Among the proposed FBM, the Hybrid CNN - LSTM model had a F1 score of 97.09% and AdaBoost-Random Forest had a F1 Score of 98.9%. Thus, Adaboost-Random Forest under FBM is the best-performing model for the classification of fake news. 2013 IEEE. Creator An entity primarily responsible for making the resource Mahara T.; Helen Josephine V.L.; Srinivasan R.; Prakash P.; Algarni A.D.; Verma O.P. Source A related resource from which the described resource is derived IEEE Access, Vol-11, pp. 79330-79340. 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/ACCESS.2023.3298441" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2023.3298441</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165907642&doi=10.1109%2FACCESS.2023.3298441&partnerID=40&md5=3e0325b92c53e759025e1cb2678110b9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165907642&doi=10.1109%2fACCESS.2023.3298441&partnerID=40&md5=3e0325b92c53e759025e1cb2678110b9</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21693536 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 Mahara T., Prin L.N. Welingkar Institute of Management Development and Research, Department of Research and Business Analytics, Karnataka, Bangalore, 560100, India; Helen Josephine V.L., Christ University, School of Business and Management, Karnataka, Bangalore, 560029, India; Srinivasan R., Christ University, School of Business and Management, Karnataka, Bangalore, 560029, India; Prakash P., Christ University, School of Business and Management, Karnataka, Bangalore, 560029, India; Algarni A.D., Princess Nourah Bint Abdulrahman University, College of Computer and Information Sciences, Department of Information Technology, P.O. Box 84428, Riyadh, 11671, Saudi Arabia; Verma O.P., Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Department of Instrumentation and Control Engineering, Punjab, Jalandhar, 144011, 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 Effect of Organizational Culture during Crises on adoption of virtual classrooms: An extension of UTAUT model Subject The topic of the resource COVID; Higher Education; Organizational Culture during Crises (OCC); Pandemic; SEM; Teaching; Technology Adoption; UTAUT; Virtual Classroom Description An account of the resource This study aims to understand the impact of organizational culture in the context of obligatory adoption of a virtual classroom (VC) during the COVID pandemic. The academic crisis created by the pandemic resulted in obligatory adoption of VCs, without being mandated by top management. Organizational culture was tested by this crisis, and thus created a unique opportunity to examine adoption. This research examines Organizational Culture during Crises (OCC) as an antecedent to the Unified Theory of Acceptance and Use of Technology (UTAUT) model to evaluate the factors that determine the intention to adopt a virtual classroom across multiple disciplines by the faculty of a reputed Indian university. Data collected from a sample of 353 respondents was analyzed to test the research model using Structural Equation Modeling (SEM). The findings of the study reveal that OCC plays a positive and significant role in determining the intention of faculties to adopt a virtual classroom. We also found that OCC also significantly influences performance expectancy, effort expectancy, facilitating conditions and social influence. The results imply proper framing of policies by top management of Higher Education Institutions (HEI) for the smooth adoption of virtual classrooms by faculty when confronted by crises. 2021 The Author(s). Published with license by Taylor & Francis Group, LLC. Creator An entity primarily responsible for making the resource Mahara T.; Iyer L.S.; Matta V.; Alagarsamy S. Source A related resource from which the described resource is derived Journal of Information Technology Case and Application Research, Vol-23, No. 3, pp. 213-239. Publisher An entity responsible for making the resource available Routledge 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/10.1080/15228053.2021.1965818" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/15228053.2021.1965818</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113366288&doi=10.1080%2F15228053.2021.1965818&partnerID=40&md5=8df07b6c3d5eea8b43c161899cb5ec12" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113366288&doi=10.1080%2f15228053.2021.1965818&partnerID=40&md5=8df07b6c3d5eea8b43c161899cb5ec12</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15228053 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 Mahara T., Christ University, Bangalore, India; Iyer L.S., Christ University, Bangalore, India; Matta V., Ohio University, Athens, United States; Alagarsamy S., 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 Search and analysis of giant radio galaxies with associated nuclei (SAGAN): III. New insights into giant radio quasars Subject The topic of the resource Galaxies: Active; Galaxies: Jets; Quasars: General; Radio continuum: Galaxies Description An account of the resource Giant radio quasars (GRQs) are radio-loud active galactic nuclei (AGN) that propel megaparsec-scale jets. In order to understand GRQs and their properties, we have compiled all known GRQs (the GRQ catalogue) and a subset of small (size < 700 kpc) radio quasars (SRQs) from the literature. In the process, we have found ten new Fanaroff-Riley type-II GRQs in the redshift range of 0.66 < z < 1.72, which we include in the GRQ catalogue. Using the above samples, we have carried out a systematic comparative study of GRQs and SRQs using optical and radio data. Our results show that the GRQs and SRQs statistically have similar spectral index and black hole mass distributions. However, SRQs have a higher radio core power, core dominance factor, total radio power, jet kinetic power, and Eddington ratio compared to GRQs. On the other hand, when compared to giant radio galaxies (GRGs), GRQs have a higher black hole mass and Eddington ratio. The high core dominance factor of SRQs is an indicator of them lying closer to the line of sight than GRQs. We also find a correlation between the accretion disc luminosity and the radio core and jet power of GRQs, which provides evidence for disc-jet coupling. Lastly, we find the distributions of Eddington ratios of GRGs and GRQs to be bi-modal, similar to that found in small radio galaxies (SRGs) and SRQs, which indicates that size is not strongly dependent on the accretion state. Using all of this, we provide a basic model for the growth of SRQs to GRQs. ESO 2022. Creator An entity primarily responsible for making the resource Mahato M.; Dabhade P.; Saikia D.J.; Combes F.; Bagchi J.; Ho L.C.; Raychaudhury S. Source A related resource from which the described resource is derived Astronomy and Astrophysics, Vol-660 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1051/0004-6361/202141928" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/0004-6361/202141928</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128463811&doi=10.1051%2F0004-6361%2F202141928&partnerID=40&md5=76b3cb1306368e4f4c0d2736c6ee5df1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128463811&doi=10.1051%2f0004-6361%2f202141928&partnerID=40&md5=76b3cb1306368e4f4c0d2736c6ee5df1</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access; Green Open Access Relation A related resource ISSN: 46361; CODEN: AAEJA 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 Mahato M., Inter-University Centre for Astronomy and Astrophysics (IUCAA), Pune, 411007, India; Dabhade P., Inter-University Centre for Astronomy and Astrophysics (IUCAA), Pune, 411007, India, Observatoire de Paris, PSL University, Sorbonne University, Paris, 75014, France; Saikia D.J., Inter-University Centre for Astronomy and Astrophysics (IUCAA), Pune, 411007, India, Department of Physics, Tezpur University, Tezpur, 784028, India; Combes F., Observatoire de Paris, PSL University, Sorbonne University, Paris, 75014, France; Bagchi J., Inter-University Centre for Astronomy and Astrophysics (IUCAA), Pune, 411007, India, Department of Physics and Electronics, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Ho L.C., Kavli Institute for Astronomy and Astrophysics, Peking University, Beijing, 100871, China, Department of Astronomy, School of Physics, Peking University, Beijing, 100871, China; Raychaudhury S., Inter-University Centre for Astronomy and Astrophysics (IUCAA), Pune, 411007, India, School of Physics and Astronomy, University of Birmingham, Birmingham, B15 2TT, United Kingdom 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 Wearable Smart Technologies: Changing the Future of Healthcare Description An account of the resource Wearable smart technologies are the innovative solutions for the issues of healthcare services. In this chapter, a review of the innovative wearable healthcare devices and applications has been done. Wearable devices are used for supervision and illness control. These innovative wearable technologies can straightforwardly affect the medical dynamic, can upgrade the quality of treatment for patients, and can reduce the expenses incurred in it. The large health record generated by the wearable devices provides an opportunity for data analysts to apply machine learning techniques for prediction on the data generated by sensors. Today's wearable smart technologies are capable of being integrated into eyeglasses, cloths, shoes, belts, watches, etc. Sensors can be inserted in these objects to be worn. The advanced forms of wearable technologies can be attached to the skin of the wearer. A smartphone is mainly utilized to collect data and communicate it to a server situated at a remote area for greater capacity and investigation. Maximum innovations related to wearable technologies are still in the prototyping phase. The study covers almost every aspect of wearable technologies, which could be helpful in the future for innovation and research in this area. 2024 selection and editorial matter, Ankur Beohar, Ribu Mathew, Abhishek Kumar Upadhyay, and Santosh Kumar Vishvakarma -individual chapters, the contributors. All rights reserved. Creator An entity primarily responsible for making the resource Mahato S.; Kumari Pathak L.; Sweta S.; Kumar Choubey D. Source A related resource from which the described resource is derived Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions, pp. 130-148. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003388845-11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003388845-11</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180907298&doi=10.1201%2F9781003388845-11&partnerID=40&md5=b454d2858eb6ee941af865a355073496" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180907298&doi=10.1201%2f9781003388845-11&partnerID=40&md5=b454d2858eb6ee941af865a355073496</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100382588-3; 978-103247841-8 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 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 Mahato S., Indian Institute of Information Technology, Jharkhand, RanchiRanchi, India; Kumari Pathak L., CHRIST (Deemed to be University), Bangalore, India; Sweta S., MPSTME, NMIMS (Narsee Monjee Institute of Management Studies, Mukesh Patel School of Technology Management and Engineering, Maharashtra, Mumbai, India; Kumar Choubey D., Indian Institute of Information Technology, Bihar, Bhagalpur, 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 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 Impact of Work from Home During COVID-19 Scenario Subject The topic of the resource Coronavirus; COVID-19; Lockdown; SARS-CoV-2; Work from home (WFH) Description An account of the resource In view of the recent situation, COVID-19 has spread across the world, and every country has to enforce a lockdown to prevent the virus from transmitting further. The worldwide COVID-19 outbreak has led to a large number of professionals work from their homes. Almost all the sectors like IT, academics, government, business, etc. are implementing work from home for safety of their employees and sincerely obeying the social distancing norms. Work from home can be beneficial and fruitful in terms of travel expenses, saving time commuting, working on ones own agenda, etc. But it can also be a pain and take a toll on mental well-being as you are living a quarantined life with little to no social life, which can also impact an individuals efficiency. There are so many barriers to work from home (WFH), like unavailability of resources, poor network connectivity, using digital platform and latest software for non-IT professionals, lack of proper infrastructure, etc. Our chapter focuses on every aspects of WFH during the COVID-19 lockdown period so that well-suited policies and practices can be designed to cope with the issues and hence transforming future of organizations by shifting the tradition of work from office to work from home. 2024 Apple Academic Press, Inc. All rights reserved. Creator An entity primarily responsible for making the resource Mahato S.; Pathak L.K.; Malik S.; Keo?lu N. Source A related resource from which the described resource is derived HR 4.0 Practices in the Post-covid-19 Scenario, pp. 47-69. Publisher An entity responsible for making the resource available Apple Academic Press 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191917844&partnerID=40&md5=c821ae5b2d1329d7c50755158dd8b7c9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191917844&partnerID=40&md5=c821ae5b2d1329d7c50755158dd8b7c9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100091905-9; 978-177491460-1 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 Mahato S., Indian Institute of Information Technology (IIIT), Jharkhand, Ranchi, India; Pathak L.K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Malik S., Amity Institute of Biotechnology, Amity University Jharkhand, Jharkhand, Ranchi, India; Keo?lu N., Canakkale Onsekiz Mart University, Canakkale, Turkey 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 Strength and durability properties of geopolymer paver blocks made with fly ash and brick kiln rice husk ash Subject The topic of the resource Durability; Geopolymer; Pavers; Rice husk ash; Strength Description An account of the resource In India the generation of agro waste rice husk ash is abundant. The utilization of rice husk ash in development of geopolymer binders can be suitable to alleviate the environmental problems associated with disposal of rice husk ash. Further, the utilization of rice husk ash generated from the stacks of brick kilns has not been addressed in past, particularly in development of geopolymer binders. This study proposes development of geopolymer paver (GEOPAV) blocks utilizing brick kiln rice husk ash (BKRHA). It presents fresh, mechanical and durability properties of GEOPAV blocks blended with fly ash, BKRHA, natural aggregates, NaOH and Na2SiO3 solution, and cured in both sundry and room temperature conditions. Microstructural analysis using scanning electron microscope (SEM) and X-ray diffraction (XRD) was adopted to study the influence of BKRHA on hardened properties of GEOPAV blocks. The results show that addition of BKRHA reduce the workability of GEOPAV mixes due to micro porous surface with honeycombed structure of BKRHA particles. The addition of BKRHA showed negligible improvement in compressive strength of GEOPAV blocks. However, the major advantage was observed with improved split tensile strength and flexural strength for GEOPAV blocks with BKRHA. Further, the durability properties in terms of resistance to acid and frost attack was significantly improved with the addition of BKRHA in GEOPAV blocks. Such improvements can be attributed to high amounts of amorphous silica in BKRHA which contribute towards dissolution and formation of polymeric gel, and thereby serve as a binder to enhance the geopolymer matrix making it dense. Finally, all the developed GEOPAV blocks satisfy the IS 156582021 specification requirements and perform much better when compared to commercially available paver blocks. 2021 The Authors Creator An entity primarily responsible for making the resource Mahdi S.N.; Babu R D.V.; Hossiney N.; Abdullah M.M.A.B. Source A related resource from which the described resource is derived Case Studies in Construction Materials, Vol-16 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.cscm.2021.e00800" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cscm.2021.e00800</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119904976&doi=10.1016%2Fj.cscm.2021.e00800&partnerID=40&md5=b786714d7f1eaf52634e444466b5c391" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119904976&doi=10.1016%2fj.cscm.2021.e00800&partnerID=40&md5=b786714d7f1eaf52634e444466b5c391</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 22145095 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 Mahdi S.N., School of Civil Engineering, CERSSE, JAIN (Deemed to be University), Bangalore, Karnataka, India; Babu R D.V., School of Civil Engineering, FET-JAIN (Deemed to be University), Bangalore, Karnataka, India; Hossiney N., Department of Civil Engineering, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Abdullah M.M.A.B., Center of Excellence Geopolymer & Green Technology (CEGeoGTech), Universiti Malaysia Perlis (UniMAP), P.O. Box 77, D/A Pejabat Pos Besar, Kangar, 01000, Perlis, Malaysia 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 Performance analysis of different classifier for remote sensing application Subject The topic of the resource Multispectral data; Pixel-based; Remote Sensing; Support Vector Machines Description An account of the resource The classification of remotely sensed data on thematic map is a challenging task from very long time and it is also a goal of todays remote sensing because of complexity level of earth surface and selection of suitable classification technique. Hence selection of best classification technique in remote sensing will give better result. Classification of remotely sensed data is an important task within the domain of remote sensing and it is outlined as processing technique that uses a systematic approach to group the pixels into different classes. In this study, we have classified the multispectral data of Udupi district, Karnataka, India using different classifier including Support Vector Machine (SVM), Maximum Likelihood, Minimum Distance and Mahalanobis Distance classifier. The data of dimension 3980x3201 pixels are collected from a Landsat-3 satellite. Performance of the each classifier is compared by conducting accuracy assessment test and Kappa analysis. The obtained results shows that SVM will give accuracy of 95.35% and kappa value of 0.9408 respectively when compared other classifier, hence effectiveness of SVM is a good choice for classifying remotely sensed data. BEIESP. Creator An entity primarily responsible for making the resource Mahendra H.N.; Mallikarjunaswamy S.; Rekha V.; Puspalatha V.; Sharmila N. Source A related resource from which the described resource is derived International Journal of Engineering and Advanced Technology, Vol-9, No. 1, pp. 7153-7158. Publisher An entity responsible for making the resource available Blue Eyes Intelligence Engineering and Sciences Publication 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/10.35940/ijeat.A1879.109119" target="_blank" rel="noreferrer noopener">https://doi.org/10.35940/ijeat.A1879.109119</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075305709&doi=10.35940%2Fijeat.A1879.109119&partnerID=40&md5=bcbf1edd4cf4e92cce4dabb84452b285" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075305709&doi=10.35940%2fijeat.A1879.109119&partnerID=40&md5=bcbf1edd4cf4e92cce4dabb84452b285</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 22498958 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 Mahendra H.N., Department of ECE, JSS Academy of Technical Education, Visvesvaraya Technological University, Bangalore-560060 and Affiliated, Belagavi, Karnataka, India; Mallikarjunaswamy S., Department of ECE, JSS Academy of Technical Education, Visvesvaraya Technological University, Bangalore-560060 and Affiliated, Belagavi, Karnataka, India; Rekha V., Department of CSE, Christ University, Bangalore, India; Puspalatha V., Department of ISE, Mysore College of Engineering and Management, Mysore, India; Sharmila N., Department of EEE, RNSIT, 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 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 Analysis of error rate for various attributes to obtain the optimal decision tree Subject The topic of the resource data mining; decision tree; error rate; pruning Description An account of the resource The competitiveness and computational intelligence are required to increase the gross profit of the product in a market. The classification algorithm rpart is applied on retail market dataset. The regression rpart decision tree algorithm is implemented with principal component analysis to impute data in the missing part of the dataset. The objective is to obtain an optimal tree by analysing cross validation error, standard deviation error, and number of splits and relative error of various attributes. The results of various attributes by ANOVA method are compared to choose the best optimal tree. The tree with minimum error rate is considered for the optimal tree. Copyright 2022 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Mahesawri K.; Ramkumar S. Source A related resource from which the described resource is derived International Journal of Intelligent Enterprise, Vol-9, No. 4, pp. 458-472. Publisher An entity responsible for making the resource available Inderscience Publishers 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/10.1504/ijie.2022.126400" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/ijie.2022.126400</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142765952&doi=10.1504%2Fijie.2022.126400&partnerID=40&md5=5bf069263aa5b60fb5c58f489508354b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142765952&doi=10.1504%2fijie.2022.126400&partnerID=40&md5=5bf069263aa5b60fb5c58f489508354b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17453232 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 Mahesawri K., Department of Computer Applications, School of Computing, Kalasalingam Academy of Research and Education, Virudhunagar (DT), Krishnankoil, India; Ramkumar S., Department of Business Analytics, School of Business and Management, Christ University, Bengaluru, 560-029, 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 Optimized uplink scheduling model through novel feedback architecture for wimax network Subject The topic of the resource Feedback; MUS; QoE; Scheduling; Wi-MaX Description An account of the resource Broadband Wireless Access has drawn the fine attention due to the wide range of data requirement and user mobility all the time. Moreover, WiMAX provides the best QoE (Quality of Experience) which is based on the IEEE 802.16 standards; this includes several services such as data, video and audio. However, in order to provide the effective and smooth experience i.e. QoS scheduling plays one of the critical part. In past several mechanism has been proposed for effective scheduling however, through the research it is observed that it can be furthermore improvised hence in this we propose a mechanism named as OUS (Optimized Uplink Scheduling) which helps in improvising the QoS. In here, we have proposed a novel feedback architecture and proposed optimized scheduling which helps in computing the bandwidth request this in terms helps in reducing the delay as well as jitter. Moreover, the performance evaluation is performed through extensive simulation by varying the different SS and frequency and the results analysis confirms that our mechanism performs way better than the existing algorithm. BEIESP. Creator An entity primarily responsible for making the resource Mahesh D.S.; Chandramouli H.; Chitnis S.R. Source A related resource from which the described resource is derived International Journal of Innovative Technology and Exploring Engineering, Vol-9, No. 1, pp. 1353-1359. Publisher An entity responsible for making the resource available Blue Eyes Intelligence Engineering and Sciences Publication 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/10.35940/ijitee.L3835.119119" target="_blank" rel="noreferrer noopener">https://doi.org/10.35940/ijitee.L3835.119119</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075146577&doi=10.35940%2Fijitee.L3835.119119&partnerID=40&md5=8a2ff4eaf9ea6538ef68671b7984273a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075146577&doi=10.35940%2fijitee.L3835.119119&partnerID=40&md5=8a2ff4eaf9ea6538ef68671b7984273a</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 22783075 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 Mahesh D.S., Dept. of CSE, Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, India; Chandramouli H., Dept. of CSE, East Point College of Engineering, Bangalore, India; Chitnis S.R., Dept. of CSE, Dayananda Sagar 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 Adaptive uplink scheduling model for WiMAX network using evolutionary computing model Subject The topic of the resource Evolutionary computing; Genetic algorithm; Modulation; Multi-objective; WiMAX Description An account of the resource The increased usage of smart phones has led to increase usage an internet based application services. These application requires different quality of service (QoS) and bandwidth requirement. WiMAX is an efficient network to provision high bandwidth connectivity and coverage to end user. To meet QoS requirement the exiting model used adaptive model selection scheme. However, these model induce bandwidth wastage as it does not considers any feedback information for scheduling. This work present an Adaptive Uplink Scheduling (AUS) by optimizing MAC layer using Multi-Objective Genetic Algorithm (MOGA). The MAC scheduler use feedback information from both physical layer and application layer. Further, to meet QoS requirement of application and utilize bandwidth efficiently this paper presented an adaptive modulation selection scheme based on user application requirement using MOGA. Our model provides application level based QoS provisioning for WiMAX network. Experiment are conducted to evaluate performance of AUS over exiting model. The overall result attained shows AUS model attain good performance in term of throughput, successful packet transmission and packet collision. 2019 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Mahesh D.S.; Chandramouli H.; Chitnis S.R. Source A related resource from which the described resource is derived Indonesian Journal of Electrical Engineering and Computer Science, Vol-14, No. 3, pp. 1345-1355. 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 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijeecs.v14.i3.pp1345-1355" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijeecs.v14.i3.pp1345-1355</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065627579&doi=10.11591%2Fijeecs.v14.i3.pp1345-1355&partnerID=40&md5=d5ceee88deda22033908a871cba46fe4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065627579&doi=10.11591%2fijeecs.v14.i3.pp1345-1355&partnerID=40&md5=d5ceee88deda22033908a871cba46fe4</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 25024752 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 Mahesh D.S., Department of CSE, Faculty of Engineering, CHRIST (Deemed to be University), India; Chandramouli H., Department of CSE, East Point College of Engineering, India; Chitnis S.R., Department of CSE, Dayananda Sagar University, 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 Evalutionary compting model for QoS provisioning in WiMAX Subject The topic of the resource Genetic; Traffic; WiMaX Description An account of the resource In recent time wireless technology is adopted widely for connecting remote user over network. WiMAX is an attractive technology for provisioning high data rate connectivity and coverage. QoS is a required parameter for analyzing the system performance. Before allocation of the bandwidth in the network, physical layer information is required for improving QoS performance. Many modulation techniques are used in WiMAX network. An adaptive approach is required for selection of modulation scheme to maximize network performance. Physical layer information is used for selection of modulation scheme. An adaptive genetic based scheduling is proposed in this paper for improved QoS. Experiments are conducted to evaluate performance of proposed approach in term of throughput, successful transmission and packet collision over existing approach. The outcome shows significant performance over existing approach. 2017 IEEE. Creator An entity primarily responsible for making the resource Mahesh D.S.; Chandramouli H.; Chitnis S.R. Source A related resource from which the described resource is derived RTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings, Vol-2018-January, pp. 1826-1830. 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 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/RTEICT.2017.8256914" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/RTEICT.2017.8256914</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046297100&doi=10.1109%2FRTEICT.2017.8256914&partnerID=40&md5=706ef6708f189f9db3a8b1d94ff7e389" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046297100&doi=10.1109%2fRTEICT.2017.8256914&partnerID=40&md5=706ef6708f189f9db3a8b1d94ff7e389</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-150903704-9 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 Mahesh D.S., Dept. of CSE, Christ University Faculty of Engineering, Bangalore, India; Chandramouli H., Dept. of CSE, East Point College of Engineering, Bangalore, India; Chitnis S.R., CMR Institute of Echnology, 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 A new facile synthesis of (2S,5S)-5-hydroxypipecolic acid hydrochloride Subject The topic of the resource (S)-CBS-oxazaborolidine; HCl salt of 5-hydroxypipecolic acid; methyl pyroglutamate; piperidine Description An account of the resource A simple and efficient synthesis of (2S,5S)-5-Hydroxypipecolic acid hydrochloride is reported. The key features of the synthesis involve the asymmetric reduction of ketone using (S)-CBS oxazaborolidine and the use of commercially available methyl pyroglutamate as a starting material.. 2022 Taylor & Francis Group, LLC. Creator An entity primarily responsible for making the resource Mahesh Kumar A.; Venkateshwarlu R.; Tadiparthi K.; Rao B.V.; Kota Balaji S.K.; Raghunadh A.; Singh S.N. Source A related resource from which the described resource is derived Synthetic Communications, Vol-52, No. 6, pp. 827-833. Publisher An entity responsible for making the resource available Taylor and Francis 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/10.1080/00397911.2022.2047731" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/00397911.2022.2047731</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129167212&doi=10.1080%2F00397911.2022.2047731&partnerID=40&md5=fb3ec4e0273141481794613eeffc4c18" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129167212&doi=10.1080%2f00397911.2022.2047731&partnerID=40&md5=fb3ec4e0273141481794613eeffc4c18</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 397911; CODEN: SYNCA 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 Mahesh Kumar A., Technology Development Center, Custom Pharmaceutical Services, Dr. Reddys Laboratories Ltd, Hyderabad, India; Venkateshwarlu R., Technology Development Center, Custom Pharmaceutical Services, Dr. Reddys Laboratories Ltd, Hyderabad, India, Department of Organic Chemistry and FDW, Andhra University, Visakhapatnam, India; Tadiparthi K., CHRIST (Deemed to be University), Bangalore, India; Rao B.V., AU College of Engineering (A), Andhra University, Visakhapatnam, India; Kota Balaji S.K., Technology Development Center, Custom Pharmaceutical Services, Dr. Reddys Laboratories Ltd, Hyderabad, India; Raghunadh A., Technology Development Center, Custom Pharmaceutical Services, Dr. Reddys Laboratories Ltd, Hyderabad, India; Singh S.N., Technology Development Center, Custom Pharmaceutical Services, Dr. Reddys Laboratories Ltd, Hyderabad, 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 Convolutional Neural Networks for Automated Detection and Classification of Plasmodium Species in Thin Blood Smear Images Subject The topic of the resource automated diagnosis; convolutional neural networks; malaria; plasmodium; thin blood smear Description An account of the resource There has been a continued transmission of malaria throughout the world due to protozoan parasites from the Plasmodium species. As for treatment and control, it is very important to make correct and more efficient diagnostic. In order to observe the efficiency of the proposed approach, This Research built a Convolutional Neural Network (CNN) model for Automated detection and classification on thin blood smear images of Plasmodium species. This model was built on a corpus of 27558 images, included five Plasmodium species. Our CNN model got an overall accuracy of 96% for the cheating detection with an F 1score of 0.94. In the detection of the presence of malaria parasites the test accuracy conducted was as follows: 8%. Species-specific classification accuracies were: P. falciparum (95.7%), P. vivax (94.9%), P. ovale (93.2%), P. malaria (92.8%) and P. Knowles (91, 5%). As for the model SL was found to have sensitivity of 97.3% And the specificity in this case is 9 6. 1 %. The proposed CNN-based approach provides a sound and fully automated solution for malarial parasite detection and species determination, which could lead to better diagnostic performances in day-to-day practices. 2024 IEEE. Creator An entity primarily responsible for making the resource Mahesh Kumar A.S.; Maindola M.; Salis V.E.; Mitra A.; Janumala T.; Vijayan A. Source A related resource from which the described resource is derived 2024 1st International Conference on Software, Systems and Information Technology, SSITCON 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SSITCON62437.2024.10797182" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SSITCON62437.2024.10797182</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215667362&doi=10.1109%2FSSITCON62437.2024.10797182&partnerID=40&md5=57809e5b65d0b54e86fcad30779dabe3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215667362&doi=10.1109%2fSSITCON62437.2024.10797182&partnerID=40&md5=57809e5b65d0b54e86fcad30779dabe3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035293-1 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 Mahesh Kumar A.S., Maharaja Institute of Technology, Department of Electronics and Communication Engineering, Belawadi, India; Maindola M., Graphic Era Deemed to Be University, Department of Computer Science and Engineering, Dehradun, India; Salis V.E., Global Academy of Technology, Department of Information Science and Engineering, Bengaluru, India; Mitra A., Symbiosis Law School, Pune, Symbiosis International (Deemed University), Symbiosis Centre for Advanced Legal Studies and Research (SCALSAR), Pune, India; Janumala T., R v College of Engineering, Department of Electronics and Instrumentation Engineering, Bengaluru, India; Vijayan A., Christ University, Department of Computer Science and Engineering, 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 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 Integration of sustainability in business through finance Description An account of the resource [No abstract available] Creator An entity primarily responsible for making the resource Mahesh Kumar T.; Sharma M. Source A related resource from which the described resource is derived Sustainable Marketing and Customer Value, pp. 300-308. Publisher An entity responsible for making the resource available Taylor and Francis 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/10.4324/9781003173311-28" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003173311-28</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143562680&doi=10.4324%2F9781003173311-28&partnerID=40&md5=93c0812773a55facdffc3873f733134d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143562680&doi=10.4324%2f9781003173311-28&partnerID=40&md5=93c0812773a55facdffc3873f733134d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100078584-5; 978-103200244-6 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 Mahesh Kumar T., School of Commerce, Finance and Accountancy, CHRIST Deemed to be University, Pune Campus Lavasa, India; Sharma M., School of Commerce, Finance and Accountancy, CHRIST Deemed to be University, Pune Campus Lavasa, 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 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 Data-Driven Decision Making in the VUCA Context: Harnessing Data for Informed Decisions Subject The topic of the resource Agility; Ambiguity; Complexity; DDDM; Decision making; Uncertainty; Volatility; VUCA Description An account of the resource Data-driven decision making (DDDM) has evolved from being a strategic advantage to a necessity for organizations aiming to thrive in the dynamic business contexts. It is about using data as a tool to enhance strategic thinking, scenario planning, and adaptation in rapidly changing environments. It involves leveraging data and analytics to navigate the challenges of volatility, uncertainty, complexity, and ambiguity. By embracing DDDM, organizations can enhance their decision-making processes, gain a competitive edge, and navigate the challenges of volatility, uncertainty, complexity, and ambiguity with greater confidence. However, successful implementation requires addressing challenges, fostering a data-driven culture, and continually adapting best practices to meet the evolving demands of the VUCA environment. This chapter discusses how organizations leverage DDDM in VUCA context to support effective and rapid decision making aligned with organizations vision. Particularly, it would offer insights to transit from volatility to vision, uncertainty to understanding, complexity to clarity, and ambiguity to agility. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Maheshkar C.; Poulose J.; Sharma V. Source A related resource from which the described resource is derived Data-Driven Decision Making, pp. 1-25. Publisher An entity responsible for making the resource available Springer Nature 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/10.1007/978-981-97-2902-9_1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-2902-9_1</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216028617&doi=10.1007%2F978-981-97-2902-9_1&partnerID=40&md5=bf16991832b24050dea284e4585fcc15" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216028617&doi=10.1007%2f978-981-97-2902-9_1&partnerID=40&md5=bf16991832b24050dea284e4585fcc15</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981972902-9; 978-981972901-2 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 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 Maheshkar C., Department of Management, Chameli Devi Group of Institutions and East Nimar Society for Education, Madhya Pradesh, Indore, India; Poulose J., Christ University, Ghaziabad, India; Sharma V., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Maharashtra, Pune, 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 Stakeholders' pedagogical preferences for teaching 'marketing' in management education Subject The topic of the resource Effective teaching; Higher education; Management education; Pedagogy; Teaching marketing Description An account of the resource This study has been realized that there is a dire need for re-thinking, particularly obvious for matters of assessment and its relation to the current focus on teaching marketing. A descriptive design of the research was used where convenient sampling has been followed for data collection. In order to achieve the purpose, it was decided to collect independent opinions of students, teachers, and professionals. Analysis has been done through descriptive statistics and Spearman's rank correlation. As a result, a significant difference between the stakeholders' perceptions about the pedagogy for teaching marketing in management education was identified. 2021 Ecological Society of India. All rights reserved. Creator An entity primarily responsible for making the resource Maheshkar C.; Sharma V. Source A related resource from which the described resource is derived Indian Journal of Ecology, Vol-48, pp. 64-68. Publisher An entity responsible for making the resource available Ecological Society of India 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113804541&partnerID=40&md5=b39136be42d8063c6b1cc84eb3d08ac3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113804541&partnerID=40&md5=b39136be42d8063c6b1cc84eb3d08ac3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 3045250 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 Maheshkar C., CHRIST (Deemed to be University), Delhi NCR, 201 003, India; Sharma V., CHRIST (Deemed to be University), Delhi NCR, 201 003, 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 Occupational stress: A pre and post COVID-19 perspective on teaching personnel in higher education institutions of India Subject The topic of the resource COVID-19; Employee performance; Higher education; Job satisfaction; Occupational health; Work stress Description An account of the resource The COVID-19 as a catalytic phenomenon exposes many loop holes in the socio-economic sustainability of business and society. It exposed people to different occupational stressors and anxiety. This study was focused on occupational stress of teaching personnel in higher education institutions (HEIs), in both pre and post COVID-19 scenario. Descriptive analysis shows work autonomy, career progression, community membership, work conditions, and freedom to use own judgements are major stressors to to HEI teachers in the post COVID-19 scenario. Inferential evaluation has confirmed that Job security, social service, and creativity are major concerns to HEI teachers. They experience limitations to try their own ways of doing job. 2021 Ecological Society of India. All rights reserved. Creator An entity primarily responsible for making the resource Maheshkar C.; Sharma V. Source A related resource from which the described resource is derived Indian Journal of Ecology, Vol-48, pp. 64-69. Publisher An entity responsible for making the resource available Ecological Society of India 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110603955&partnerID=40&md5=e731030b9a492db128bb6f5d62d72852" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110603955&partnerID=40&md5=e731030b9a492db128bb6f5d62d72852</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 3045250 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 Maheshkar C., CHRIST (Deemed to be University), Delhi NCR, 201 003, India; Sharma V., CHRIST (Deemed to be University), Delhi NCR, 201 003, 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 Comparative Analysis of Machine Learning Models in Predicting Academic Outcomes: Insights and Implications for Educational Data Analytics Subject The topic of the resource Academic outcomes; Educational Data Analytics; Machine Learning models Description An account of the resource In the evolving landscape of educational research, the predictive analysis of student performance using data science has garnered significant interest. This study investigates the influence of diverse factors on academic outcomes, ranging from personal demographics to socioeconomic conditions, to enhance educational strategies and support mechanisms. We employed a diverse ml models to analyze a information containing academic records and socioeconomic information. The models tested include Logistic Regression, Random Forest (RF), Gradient Boosting (GB), Support Vector Machines (SVC), K-Nearest Neighbors (KNN), Gaussian Naive Bayes, and Decision Trees. The process involved comprehensive data preprocessing, exploratory analysis, model training, and evaluation based on metrics such as precision, recall, accuracy, and F1 score. The results indicate that ensemble methods, specifically RF and GB, demonstrate superior efficacy in accurately predicting categories of student performance such as 'Enrolled,' 'Graduated,' and 'Dropped Out.' These models excelled in handling the complex interplay of varied predictors affecting student success. The results further underline the potential of advanced ensemble ML techniques in significantly outperforming the prediction accuracy in the academic domain, hence facilitating the tailoring of educational interventions to foster improved engagement and better outcomes for students. This has provided a comparative analysis of the methods that guide the future application of predictive analytics in education. 2024 IEEE. Creator An entity primarily responsible for making the resource Maheshwari A.; Malhotra A.; Hada B.S.; Ranka M.; Basha M.S.A. Source A related resource from which the described resource is derived International Conference on Smart Systems for Applications in Electrical Sciences, ICSSES 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSSES62373.2024.10561260" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSSES62373.2024.10561260</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197889910&doi=10.1109%2FICSSES62373.2024.10561260&partnerID=40&md5=a13a98c125ac21e6ed53451324a0b760" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197889910&doi=10.1109%2fICSSES62373.2024.10561260&partnerID=40&md5=a13a98c125ac21e6ed53451324a0b760</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036404-0 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 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 Maheshwari A., Christ (Deemed to be University), School of Commerce, Finance and Accountancy, Ghaziabad, India; Malhotra A., Christ (Deemed to be University), School of Commerce, Finance and Accountancy, Ghaziabad, India; Hada B.S., CHRIST (Deemed to be University), School of Commerce, Finance and Accountancy, NCR, Delhi, India; Ranka M., Dayananda Sagar College of Arts, Science and Commerce Bengaluru, India; Basha M.S.A., Gandhi Institute of Technology and Management (Deemed to be University), GITAM School of Business, Bengaluru, India