Nature‐Inspired‐Based Approach for Automated Cyberbullying Classification on Multimedia Social Networking
N Yuvaraj, K Srihari, G Dhiman… - Mathematical …, 2021 - Wiley Online Library
In the modern era, the cyberbullying (CB) is an intentional and aggressive action of an
individual or a group against a victim via electronic media. The consequence of CB is …
individual or a group against a victim via electronic media. The consequence of CB is …
Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows
We present a new data reconstruction method with supervised machine learning techniques
inspired by super resolution and inbetweening to recover high-resolution turbulent flows …
inspired by super resolution and inbetweening to recover high-resolution turbulent flows …
Cyberbullying in text content detection: an analytical review
Technological advancements have resulted in an exponential increase in the use of online
social networks (OSNs) worldwide. While online social networks provide a great …
social networks (OSNs) worldwide. While online social networks provide a great …
Assessment of supervised machine learning methods for fluid flows
We apply supervised machine learning techniques to a number of regression problems in
fluid dynamics. Four machine learning architectures are examined in terms of their …
fluid dynamics. Four machine learning architectures are examined in terms of their …
Automatic detection of cyberbullying using multi-feature based artificial intelligence with deep decision tree classification
N Yuvaraj, V Chang, B Gobinathan… - Computers & Electrical …, 2021 - Elsevier
Recent studies have shown that cyberbullying is a rising youth epidemic. In this paper, we
develop a novel automated classification model that identifies the cyberbullying texts without …
develop a novel automated classification model that identifies the cyberbullying texts without …
CNN-LSTM based reduced order modeling of two-dimensional unsteady flows around a circular cylinder at different Reynolds numbers
K Hasegawa, K Fukami, T Murata… - Fluid Dynamics …, 2020 - iopscience.iop.org
We investigate the capability of machine learning (ML) based reduced order model (ML-
ROM) for two-dimensional unsteady flows around a circular cylinder at different Reynolds …
ROM) for two-dimensional unsteady flows around a circular cylinder at different Reynolds …
An investigation of garbage disposal electric vehicles (GDEVs) integrated with deep neural networking (DNN) and intelligent transportation system (ITS) in smart city …
N Yuvaraj, K Praghash, RA Raja… - Wireless personal …, 2022 - Springer
A smart city is a urban developed city that delivers the solution to the residents smarter
especially using Information and Communication Technology. The conventional smart city …
especially using Information and Communication Technology. The conventional smart city …
Generalization techniques of neural networks for fluid flow estimation
We demonstrate several techniques to encourage practical uses of neural networks for fluid
flow estimation. In the present paper, three perspectives which are remaining challenges for …
flow estimation. In the present paper, three perspectives which are remaining challenges for …
[HTML][HTML] Improving image-based plant disease classification with generative adversarial network under limited training set
Traditionally, plant disease recognition has mainly been done visually by human. It is often
biased, time-consuming, and laborious. Machine learning methods based on plant leave …
biased, time-consuming, and laborious. Machine learning methods based on plant leave …
Deep learning for geometric and semantic tasks in photogrammetry and remote sensing
C Heipke, F Rottensteiner - Geo-spatial Information Science, 2020 - Taylor & Francis
During the last few years, artificial intelligence based on deep learning, and particularly
based on convolutional neural networks, has acted as a game changer in just about all tasks …
based on convolutional neural networks, has acted as a game changer in just about all tasks …