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 …

Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows

K Fukami, K Fukagata, K Taira - Journal of Fluid Mechanics, 2021 - cambridge.org
We present a new data reconstruction method with supervised machine learning techniques
inspired by super resolution and inbetweening to recover high-resolution turbulent flows …

Cyberbullying in text content detection: an analytical review

SW Azumah, N Elsayed, Z ElSayed… - International Journal of …, 2023 - Taylor & Francis
Technological advancements have resulted in an exponential increase in the use of online
social networks (OSNs) worldwide. While online social networks provide a great …

Assessment of supervised machine learning methods for fluid flows

K Fukami, K Fukagata, K Taira - Theoretical and Computational Fluid …, 2020 - Springer
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 …

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 …

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 …

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 …

Generalization techniques of neural networks for fluid flow estimation

M Morimoto, K Fukami, K Zhang, K Fukagata - Neural Computing and …, 2022 - Springer
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 …

[HTML][HTML] Improving image-based plant disease classification with generative adversarial network under limited training set

L Bi, G Hu - Frontiers in plant science, 2020 - frontiersin.org
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 …

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 …