no code implementations • 26 Nov 2021 • Nishchal Parne, Kyathi Puppaala, Nithish Bhupathi, Ripon Patgiri
This problem can be solved by developing unlearning frameworks for all spam detection models.
no code implementations • 24 Aug 2021 • Lilapati Waikhom, Ripon Patgiri
Various other domains conform to non-Euclidean space, for which graph is an ideal representation.
no code implementations • 1 Jul 2021 • Sabuzima Nayak, Ripon Patgiri, Lilapati Waikhom, Arif Ahmed
Embedding computing and application in Edge devices lead to emerging of two new concepts in Edge technology, namely, Edge computing and Edge analytics.
1 code implementation • 18 Mar 2021 • Ripon Patgiri, Anupam Biswas, Sabuzima Nayak
In this article, we present a novel malicious URL detection technique, called deepBF (deep learning and Bloom Filter).
no code implementations • 11 Apr 2020 • Ripon Patgiri, Sabuzima Nayak
The article surveys on the various kinds of MDS architecture, designs, and methodologies.
no code implementations • 7 Apr 2020 • Sabuzima Nayak, Ripon Patgiri
We have discussed issues and challenges from every aspect from hardware to the enabling technologies which will be utilized by 6G.
no code implementations • 17 Feb 2020 • Ripon Patgiri, Sajid Hussain, Aditya Nongmeikapam
The accuracy of the Random Forest model is 82% with a delay threshold of 15 minutes of flight delay.
no code implementations • 17 Mar 2019 • Ripon Patgiri, Sabuzima Nayak, Tanya Akutota, Bishal Paul
We perform extensive experiments for the correctness of our results to exploit the weakness of machine learning algorithms.
no code implementations • 25 Aug 2018 • Ripon Patgiri
The Data are assets of the organization, and these data gives revenue to the organizations.
Distributed, Parallel, and Cluster Computing