A review on deep-learning-based cyberbullying detection

MT Hasan, MAE Hossain, MSH Mukta, A Akter… - Future Internet, 2023 - mdpi.com
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 …

Technical methods for social robots in museum settings: An overview of the literature

M Hellou, JY Lim, N Gasteiger, M Jang… - International Journal of …, 2022 - Springer
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 …

Introducing CARESSER: A framework for in situ learning robot social assistance from expert knowledge and demonstrations

A Andriella, C Torras, C Abdelnour… - User Modeling and User …, 2023 - Springer
Socially assistive robots have the potential to augment and enhance therapist's
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

G Udahemuka, K Djouani, AM Kurien - Applied Sciences, 2024 - mdpi.com
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 …

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 …

Enhancing facial expression recognition system in online learning context using efficient deep learning model

M Aly, A Ghallab, IS Fathi - IEEE Access, 2023 - ieeexplore.ieee.org
This paper presents an online educational platform that leverages facial expression
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 …

[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 …

Deep learning inspired intelligent embedded system for haptic rendering of facial emotions to the blind

S Saurav, AK Saini, R Saini, S Singh - Neural Computing and Applications, 2022 - Springer
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 …

[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 …