[HTML][HTML] A review on deep learning techniques for IoT data
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …
internet-based sensor tools that provide physical world observations and data …
IoT enabled HELMET to safeguard the health of mine workers
Abstract Information and communication technologies have aided advancements in
providing a healthy and safe working environment at the workplace. Using ICT-based …
providing a healthy and safe working environment at the workplace. Using ICT-based …
A comprehensive review on breast cancer detection, classification and segmentation using deep learning
The incidence and mortality rate of Breast Cancer (BC) are global problems for women, with
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …
Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine Tuning Approach
T Shelatkar, U Bansal - … Conference on Machine Intelligence and Signal …, 2022 - Springer
Brain cancer is an uncommon and lethal tumor with a limited chance of survival. Early brain
tumor identification is one of the most important responsibilities of neurologists and …
tumor identification is one of the most important responsibilities of neurologists and …
Sentiment analysis of Twitter data
Y Wang, J Guo, C Yuan, B Li - Applied Sciences, 2022 - mdpi.com
Twitter has become a major social media platform and has attracted considerable interest
among researchers in sentiment analysis. Research into Twitter Sentiment Analysis (TSA) is …
among researchers in sentiment analysis. Research into Twitter Sentiment Analysis (TSA) is …
Botshape: A novel social bots detection approach via behavioral patterns
An essential topic in online social network security is how to accurately detect bot accounts
and relieve their harmful impacts (eg, misinformation, rumor, and spam) on genuine users …
and relieve their harmful impacts (eg, misinformation, rumor, and spam) on genuine users …
[HTML][HTML] Machine learning-based social media bot detection: A comprehensive literature review
In today's digitalized era, Online Social Networking platforms are growing to be a vital aspect
of each individual's daily life. The availability of the vast amount of information and their …
of each individual's daily life. The availability of the vast amount of information and their …
[HTML][HTML] Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets
N Thakur, YN Duggal, Z Liu - Computers, 2023 - mdpi.com
In the last decade and a half, the world has experienced outbreaks of a range of viruses
such as COVID-19, H1N1, flu, Ebola, Zika virus, Middle East Respiratory Syndrome (MERS) …
such as COVID-19, H1N1, flu, Ebola, Zika virus, Middle East Respiratory Syndrome (MERS) …
Bottrinet: A unified and efficient embedding for social bots detection via metric learning
The rapid and accurate identification of bot accounts in online social networks is an ongoing
challenge. In this paper, we propose BotTriNet, a unified embedding framework that …
challenge. In this paper, we propose BotTriNet, a unified embedding framework that …
[HTML][HTML] Emotions and virality: Social transmission of political messages on Twitter
Drawing on previous literature that valence and arousal constitute the fundamental
properties of emotions and that emotional content is a determinant of social transmission …
properties of emotions and that emotional content is a determinant of social transmission …