Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Dinesh, G.; Vigneshwaran, T.; Velammal, B.L.; Sweetline, S.; Sasthi Kumar, C.; Brinda, V. Title A name given to the resource Statistical Forecasting of Fat in Body Proportion Utilizing Nonlinear Anthropological Parameters and Density Evaluation Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of 2025 IEEE International Conference on Contemporary Computing and Communications, InC4 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC465408.2025.11256299" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC465408.2025.11256299</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105030319140?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030319140?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dinesh G., School of Computing SRM Institute of Science and Technology, Kattankulathur, Department of Computational Intelligence, Tamilnadu, Chennai, India; Vigneshwaran T., Christ (Deemed to be University), School of Engineering and Technology, Department of CSE, Bangalore, India; Velammal B.L., College of Engineering Guindy Anna University, Department of CSE, Tamilnadu, Chennai, India; Sweetline S., Vel Tech Rangarajan Dr. Sagunthala R&amp;D Institute of Science and Technology, Avadi, Department of English, Tamilnadu, Chennai, India; Sasthi Kumar C., Karpagam Academy of Higher Education, Department of Computer Science and Engineering, Tamilnadu, Coimbatore, India; Brinda V., K. Ramakrishnan College of Engineering, Dept. of ECE, Tamil Nadu, Tiruchirappalli, 621112, India Description An account of the resource Body Fat Percentage (BFP) is an accurate body fat assessment, plays vital role in order to evaluate an individual's health status and disease risk. Traditional BFP assessments, such as dual-energy X-ray absorptiometry (DXA) and hydrostatic weighing are high in accuracy which is compromised by their cost and complexity. This research work focuses on creating a predictive BFP model using anthropometric techniques. For formulating and validating the proposed model, a benchmark dataset is used consisting of 252 samples having measures of weight, height, waist circumference (WC), hip circumference (HC), skinfold thicknesses along with air displacement plethysmography (ADP) based density estimates. For feature engineering, the most important values are selected such as body mass index, hip ratio etc., as well as logarithmic values and then the best artificial neural network model is trained. The proposed model is developed using quadratic polynomial terms with a literature-based space-cost function (r &gt; 0.98), provided the best model with a Mean Absolute Error (MAE) of 1.5% and coefficient of determination R = 0.92 outperforming conventional works. 2025 IEEE. Subject The topic of the resource Artificial Neural Network; Body Fat Percentage; Data Preprocessing; Deep Learning; Feature Selection; X-ray absorptiometry Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833152118-9; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online