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[HTML][HTML] Long short-term memory models of water quality in inland water environments
Water quality is substantially influenced by a multitude of dynamic and interrelated variables,
including climate conditions, landuse and seasonal changes. Deep learning models have …
including climate conditions, landuse and seasonal changes. Deep learning models have …
Prognostics and health management of industrial assets: Current progress and road ahead
L Biggio, I Kastanis - Frontiers in Artificial Intelligence, 2020 - frontiersin.org
Prognostic and Health Management (PHM) systems are some of the main protagonists of
the Industry 4.0 revolution. Efficiently detecting whether an industrial component has …
the Industry 4.0 revolution. Efficiently detecting whether an industrial component has …
TAnoGAN: Time series anomaly detection with generative adversarial networks
Anomaly detection in time series data is a significant problem faced in many application
areas such as manufacturing, medical imaging and cyber-security. Recently, Generative …
areas such as manufacturing, medical imaging and cyber-security. Recently, Generative …
[HTML][HTML] A combined deep learning application for short term load forecasting
An accurate prediction of buildings' load demand is one of the most important issues in
smart grid and smart building applications. In this way, an important contribution is made to …
smart grid and smart building applications. In this way, an important contribution is made to …
[HTML][HTML] Recognizing misogynous memes: Biased models and tricky archetypes
Warning: This paper contains examples of language and images which may be offensive.
Misogyny is a form of hate against women and has been spreading exponentially through …
Misogyny is a form of hate against women and has been spreading exponentially through …
First, do no harm: automated detection of abusive comments in student evaluation of teaching surveys
Student evaluation of teaching (SET) surveys are the most widely used tool for collecting
higher education student feedback to inform academic quality improvement, promotion and …
higher education student feedback to inform academic quality improvement, promotion and …
Enhancing the detection of misogynistic content in social media by transferring knowledge from song phrases
R Calderón-Suarez, RM Ortega-Mendoza… - IEEE …, 2023 - ieeexplore.ieee.org
Misogyny is a serious social problem that affects the mental and physical health of women
and can even lead to femicide. This problem is visible and prevalent in different …
and can even lead to femicide. This problem is visible and prevalent in different …
A systematic review of computer science solutions for addressing violence against women and children
DA Rodríguez, A Díaz-Ramírez… - IEEE …, 2021 - ieeexplore.ieee.org
Violence against women and children is a public health issue of pandemic proportions. It is
estimated that one in every three women worldwide has experienced physical, emotional, or …
estimated that one in every three women worldwide has experienced physical, emotional, or …
Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts
In this world of information and experience era, microblogging sites have been commonly
used to express people feelings including fear, panic, hate and abuse. Monitoring and …
used to express people feelings including fear, panic, hate and abuse. Monitoring and …
Transfer learning based long short-term memory car-following model for adaptive cruise control
Most existing studies modeled Adaptive Cruise Control (ACC) car-following (CF) behavior
using conventional CF models which were originally built for human-driving vehicles (HVs) …
using conventional CF models which were originally built for human-driving vehicles (HVs) …