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A review on deep-learning-based cyberbullying detection
Bullying is described as an undesirable behavior by others that harms an individual
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
Technical methods for social robots in museum settings: An overview of the literature
Robots have become increasingly present in our daily lives, and we see several settings
wherein this technology might positively impact people. One of these settings, and the focus …
wherein this technology might positively impact people. One of these settings, and the focus …
Introducing CARESSER: A framework for in situ learning robot social assistance from expert knowledge and demonstrations
Socially assistive robots have the potential to augment and enhance therapist's
effectiveness in repetitive tasks such as cognitive therapies. However, their contribution has …
effectiveness in repetitive tasks such as cognitive therapies. However, their contribution has …
[HTML][HTML] Multimodal Emotion Recognition using visual, vocal and Physiological Signals: a review
The dynamic expressions of emotion convey both the emotional and functional states of an
individual's interactions. Recognizing the emotional states helps us understand human …
individual's interactions. Recognizing the emotional states helps us understand human …
New benchmark for household garbage image recognition
Z Wu, H Li, X Wang, Z Wu, L Zou… - Tsinghua Science and …, 2022 - ieeexplore.ieee.org
Household garbage images are usually faced with complex backgrounds, variable
illuminations, diverse angles, and changeable shapes, which bring a great difficulty in …
illuminations, diverse angles, and changeable shapes, which bring a great difficulty in …
Enhancing facial expression recognition system in online learning context using efficient deep learning model
This paper presents an online educational platform that leverages facial expression
recognition technology to monitor students' progress within the classroom. Periodically, a …
recognition technology to monitor students' progress within the classroom. Periodically, a …
Expression recognition method using improved VGG16 network model in robot interaction
S Wu - Journal of Robotics, 2021 - Wiley Online Library
Aiming at the problems of poor representation ability and less feature data when traditional
expression recognition methods are applied to intelligent applications, an expression …
expression recognition methods are applied to intelligent applications, an expression …
[PDF][PDF] A comparative analysis of recurrent neural network and support vector machine for binary classification of spam short message service
D Odera, G Odiaga - World Journal of Advanced Engineering …, 2023 - researchgate.net
Over the years, communication through Short Message Service (SMS) has been a primary
tool for mobile subscribers. SMS has varied applications in health, industry, finances …
tool for mobile subscribers. SMS has varied applications in health, industry, finances …
Deep learning inspired intelligent embedded system for haptic rendering of facial emotions to the blind
In our day-to-day social interactions, non-verbal cues such as facial emotions play a vital
role. These cues assist people in understanding and inferring the hidden emotional state of …
role. These cues assist people in understanding and inferring the hidden emotional state of …
[HTML][HTML] Research on inversion mechanism of chlorophyll—A concentration in water bodies using a Convolutional Neural Network model
Y Xue, L Zhu, B Zou, Y Wen, Y Long, S Zhou - Water, 2021 - mdpi.com
For Case-II water bodies with relatively complex water qualities, it is challenging to establish
a chlorophyll-a concentration (Chl-a concentration) inversion model with strong applicability …
a chlorophyll-a concentration (Chl-a concentration) inversion model with strong applicability …