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Institution

National Institute of Technology, Karnataka

EducationMangalore, Karnataka, India
About: National Institute of Technology, Karnataka is a education organization based out in Mangalore, Karnataka, India. It is known for research contribution in the topics: Corrosion & Cloud computing. The organization has 5017 authors who have published 7057 publications receiving 70367 citations.


Papers
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Journal ArticleDOI
01 Nov 2021
TL;DR: Survey of prior work from 1970 to 2020 on intelligent decision support models specific to banking findings are synthesized on quadrant outcomes; technology; employees, customers, and organizations for service ecosystems; and scope of advancements like big data, internet of things, virtual reality along other untapped conceptual relationships into this framework are discussed.
Abstract: The current banking industry is heavily dependent on technological artifacts supported by intelligent systems for performance on operational and marketing parameters. However, the attributes for enabling practice between such technological interfaces with managerial adoption are been lagging creating a knowledge gap. To address this, present research surveys the prior work from 1970 to 2020 on intelligent decision support models specific to banking. Subsequently, findings are synthesized on quadrant outcomes; technology; employees, customers, and organizations for service ecosystems. In addition, the managerial perceptions of technology on work are captured through short survey. Finally, scope of advancements like big data, internet of things (IoT), virtual reality (VR) along other untapped conceptual relationships into this framework are discussed.

30 citations

Journal ArticleDOI
TL;DR: A new affective database for both the e-learning and classroom environments using the students’ facial expressions, hand gestures, and body postures is proposed and the classification accuracy of the database is analyzed using a few state-of-the-art machine and deep learning techniques.

30 citations

Journal ArticleDOI
TL;DR: In this article, the phase change temperature of TSM is 123 to 125 °C and heat of fusion is 71.95 to 97.95kJ/kg, at the completion of the solidification process the TSM energy content reduces to 96.5, 96, 96 and 96% for LLDPE, CPCM-1,CPCM-2 and CPM-3 respectively.
Abstract: The main driving force behind the present work is environmental issues caused due to the usage of plastics, and energy issues. Current work attempts to address these problems by converting recycled plastics into thermal storage materials (TSM). Unfavorable thermophysical properties of plastic make it impractical but these inadequacies can be amended by blending with additives of superior thermophysical properties like, functionalized graphene. Numerical and experimental analysis are carried out to assess the thermal performance of TSMs (LLDPE, CPCM-1, CPCM-2 and CPCM-3) and check the compatibility of the materials. The phase change temperature of TSM is 123 to 125 °C and heat of fusion is 71.95 to 97 kJ/kg. Several thermal characteristics are analyzed to assess thermal performance and the amount of heat energy supplied, rate of heat transfer, and heat storage efficiency are deliberated. Results shown energy level enhancement of 43.17, 50.42, 54 and 50.61% for LLDPE, CPCM-1, CPCM-2 and CPCM-3 respectively. Among the TSM CPCM-2 shows relatively better storage capability (54% enhancement) due to incorporation of optimum concentration of enhancing material. The solidification process takes place through convection and radiation mode of heat transfer, at the completion of solidification process the TSM energy content reduces to 97.5, 96, 96 and 96% for LLDPE, CPCM-1,CPCM-2 and CPCM-3 respectively. This work concludes that, recycled plastics can be blended and it can be converted into efficient thermal storage material.

30 citations

Journal ArticleDOI
TL;DR: An algorithm to predict the bug proneness index using marginal R square values is proposed, which aims to select the minimal number of best performing metrics, thereby keeping the model both simple and accurate at the same time.

30 citations


Authors

Showing all 5100 results

NameH-indexPapersCitations
Ajay Kumar5380912181
Bhiksha Raj5135913064
Alexander P. Lyubartsev491849200
Vijay Nair4742510411
Sukumar Mishra444057905
Arun M. Isloor382616272
Vinay Kumaran362624473
M. C. Ray301152662
Airody Vasudeva Adhikari301192832
Ian R. Lane271292947
D. Krishna Bhat26951715
Anurag Kumar261262276
Soma Biswas251272195
Chandan Kumar25661806
H.S. Nagaraja23901609
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202351
2022175
2021938
2020893
2019838
2018740