Investigation on Al2O3 nanoparticles for nanofluid applications-a review

A Prakash, S Satsangi, S Mittal, B Nigam… - IOP conference …, 2018 - iopscience.iop.org
A nanofluid is a fluid containing nanometer-sized particles, called nanoparticles. The
nanoparticles used in nanofluids are typically made of metals, oxides, carbides, or carbon …

" Notjustgirls" Exploring Male-related Eating Disordered Content across Social Media Platforms

JA Pater, LE Reining, AD Miller, T Toscos… - Proceedings of the 2019 …, 2019 - dl.acm.org
Eating disorders (EDs) are a worldwide public health concern that impact approximately
10% of the US population. Our previous research characterized these behaviors across …

[HTML][HTML] Exploring abnormal behavior patterns of online users with emotional eating behavior: topic modeling study

Y Hwang, HJ Kim, HJ Choi, J Lee - Journal of Medical Internet Research, 2020 - jmir.org
Background Emotional eating (EE) is one of the most significant symptoms of various eating
disorders. It has been difficult to collect a large amount of behavioral data on EE; therefore …

Anomaly detection in social-aware IoT networks

J Tang, T Qin, D Kong, Z Zhou, X Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Anomaly event coverage is usually related to several attributes, among which the primary
attribute dominates at the time of improving detection efficiency. In the case of Internet of …

Depression detection and prevention system by analysing tweets

M Gaikar, J Chavan, K Indore… - … 2019: conference on …, 2019 - papers.ssrn.com
Social media platforms like Twitter which is a microblogging tool enable its users to express
their feelings, emotions and opinions through short text messages. Detecting the emotions in …

The influence of public health information sharing on social media during the early COVID-19 outbreak

CC Chen, YP Chiu - Data Technologies and Applications, 2022 - emerald.com
Purpose Social media have become famous platform to search and share the COVID-19-
related information. The objective of this research is to bridge the gap by proposing the …

Depression detection in Twitter tweets using machine learning classifiers

SK Kumar, N Dinesh, L Nitha - 2022 Second International …, 2022 - ieeexplore.ieee.org
Users are increasingly using social media to share their thoughts and feelings. One of the
primary causes of higher suicide rates is' depression.'A user's social media status recently …

Intend to analyze Social Media feeds to detect behavioral trends of individuals to proactively act against Social Threats

S Jindal, K Sharma - Procedia computer science, 2018 - Elsevier
Just few years ago, many of us and rest of the world believed that social media was just fun,
unproductive and pointless technical whim. But today, the use of social media has become a …

Tracing prodromal behaviour by analysing data patterns from social media with ensemble machine learning approach

D Joshi, M Patwardhan - International Social Science Journal, 2023 - Wiley Online Library
This paper presents a novel solution for tracing prodromal behaviour of Twitter users for
early detection and prevention of mental illness. A very large number of people are using …

Behaviour analysis using word embedding & machine learning on social media

S Jarang, D Joshi… - 2019 5th International …, 2019 - ieeexplore.ieee.org
In today's world of technology AI has become immersing part of our life. Human interaction
with machines has been escalating drastically with the time period. As a result, People …