Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mohammed Khalid Kaleem"'
Autor:
Mohammed Khalid Kaleem, Dhanraj Verma
Publikováno v:
AIP Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32db8d6ed6a25ace1c292ac1b86331c3
https://doi.org/10.1063/5.0125561
https://doi.org/10.1063/5.0125561
Autor:
Mohammed Khalid Kaleem, Dhanraj Verma
Publikováno v:
AIP Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::def5949569d13e1f59705e8846bee8eb
https://doi.org/10.1063/5.0125562
https://doi.org/10.1063/5.0125562
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811651564
In this paper, the design of IoT-based improved multimodal ant colony optimization (MM-ACO) algorithm for real-time applications is implemented. The main intent of multimodal ant colony optimization (MM-ACO) algorithm is to give good solution for fin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbfe2ed533a520ea6364475f690e1251
https://doi.org/10.1007/978-981-16-5157-1_15
https://doi.org/10.1007/978-981-16-5157-1_15
Publikováno v:
2021 International Conference on Emerging Smart Computing and Informatics (ESCI).
The present paper focuses on effective approach to minimize the error in the existing Bresenham’s Line Drawing Algorithm (BLDA) in computer graphics. In this method, we consider three different values of h, i.e., 1, 0.5 and 0.1. For h=1, all the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::725eb6434f9dee7753858c762e6975e8
https://doi.org/10.1109/esci50559.2021.9396940
https://doi.org/10.1109/esci50559.2021.9396940
Autor:
Syed Nisar Hussain Bukhari
In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opene
This book gathers selected papers presented at the International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021), jointly organized by Tribhuvan University, Nepal; Prince of Songkla University, Thailand; and Ejesra during June, 18