A FRAMEWORK FOR MORPHOLOGICAL OPERATIONS USING COUNTER HARMONIC MEAN

Autor: Savya Sachi, D. Ganesh, Rajesh Tiwari, S. P. Manikanta, L. Bhagyalakshmi, Ankita Nigam, Sanjay Kumar Suman, Rajeev Shrivastava

Publikováno v: Proceedings on Engineering Sciences, Vol 6, Iss 4, Pp 1531-1540 (2024)

In this article, we have a tendency to embrace a novel framework for learning morphological operations using counter-harmonic mean. It combines the conception of morphology with convolutional neural networks. Similarly, the elemental morphological op

Externí odkaz: https://doaj.org/article/4f881b5f8b244c0b80d5e2ccbd4482ee

Machine Learning Techniques for Gait Analysis in Skiing

Autor: Savya Sachi Gupta, Moa Johansson, Dan Kuylenstierna, David Larsson, Julia Ortheden, Markus Pettersson

Publikováno v: Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference ISBN: 9783030993320

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f7cc9bb59c2c990402cc3ddacf1fb862
https://doi.org/10.1007/978-3-030-99333-7_21

Icme for Process Scale-Up: Importance of Vertical and Horizontal Integration of Models

Autor: Rishabh Shukla, Savya Sachi, Saurabh Mangal, Amarendra K. Singh, Gerald Tennyson

Publikováno v: Proceedings of the 3rd World Congress on Integrated Computational Materials Engineering (ICME 2015) ISBN: 9783319486123
Proceedings of the 3rd World Congress on Integrated Computational Materials Engineering (ICME 2015)

ICME will play a major role in reducing the lead time in development of a new product or component. One of the areas where ICME is likely to play a crucial role is process scale-up of mill products. Process scale-up of a mill product from laboratory

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d839e7ee3c8c30014161fe39b8ac9434
https://doi.org/10.1002/9781119139508.ch2