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 Prediction and modeling of mechanical properties of concrete modified with ceramic waste using artificial neural network and regression model Subject The topic of the resource ANN; Compressive strength; LR; Rejected ceramics; Splitting tensile strength Description An account of the resource Over two centuries, concrete has been crucial to building. Thus, eco-friendly concrete is being developed. Emulating these tangible traits has recently gained popularity. Ceramic waste concretes mechanical properties were modeled in this study. Ceramic waste percentages ranged from 5 to 20%. Compressive and tensile concrete strengths were modeled. To predict concrete hardness, regression modeling and artificial neural network (ANN) were used. Model performance was evaluated using prediction coefficients and root-mean-square error (RMSE). ANN models outperformed linear prediction with a coefficient for determination (R2) of 0.97. ANN models achieved root-mean-square errors (RMSEs) of 1.22MPa, 1.21MPa, and 1.022MPa after 7, 14, and 28days of retraining, respectively. Linear regression model showed RMSE values of 1.21, 1.32, and 1.27MPa at 7, 14, and 28days, respectively. In determining the compressive and tensile strength, the R2 was 0.70, meanwhile the ANN model achieved 0.87. Given its accuracy in predicting the strength qualities of ceramics cement and structural stiffness, the ANN model presents a promising tool for representing various types of concrete. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024. Creator An entity primarily responsible for making the resource Kshirsagar P.R.; Upreti K.; Kushwah V.S.; Hundekari S.; Jain D.; Pandey A.K.; Parashar J. Source A related resource from which the described resource is derived Signal, Image and Video Processing, Vol-18, No. Suppl 1, pp. 183-197. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11760-024-03142-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11760-024-03142-z</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189956901&amp;doi=10.1007%2Fs11760-024-03142-z&amp;partnerID=40&amp;md5=4bf410cb78e49e9ffc69fa7a42a1ba90" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189956901&amp;doi=10.1007%2fs11760-024-03142-z&amp;partnerID=40&amp;md5=4bf410cb78e49e9ffc69fa7a42a1ba90</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18631703 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 Kshirsagar P.R., Department of Electronics &amp; amp; Telecommunication Engineering, J D College of Engineering &amp; amp; Management, Nagpur, India; Upreti K., Department of Computer Science, CHRIST (Deemed to Be University), Delhi-NCR, Uttar Pradesh, Ghaziabad, India; Kushwah V.S., School of Computing Science &amp; amp; Engineering, VIT Bhopal University, Bhopal-Indore Highway, Madhya Pradesh, Bhopal, India; Hundekari S., MIT College of Management, MIT ADT University, Loni Kalbhor, Pune, India; Jain D., Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, India; Pandey A.K., Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, India; Parashar J., Department of Computer Science and Engineering, Dr. Akhilesh Das Gupta Institute of Engineering and Technology, New Delhi, India