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 …
Optimizing epileptic seizure recognition performance with feature scaling and dropout layers
A Omar, T Abd El-Hafeez - Neural Computing and Applications, 2024 - Springer
Epilepsy is a widespread neurological disorder characterized by recurring seizures that
have a significant impact on individuals' lives. Accurately recognizing epileptic seizures is …
have a significant impact on individuals' lives. Accurately recognizing epileptic seizures is …
A comprehensive analytical review on cybercrime in West Africa
Cybercrime is a growing concern in West Africa due to the increasing use of technology and
internet penetration in the region. Legal frameworks are essential for guiding the control of …
internet penetration in the region. Legal frameworks are essential for guiding the control of …
School Staff Strategies for Identifying, Dealing with and Preventing Cyberbullying Among Swedish Primary School Pupils
This study, using a socio-ecological model of bullying, examines how school staff, in a
Swedish municipality, identify and deal with cyberbullying among primary school pupils …
Swedish municipality, identify and deal with cyberbullying among primary school pupils …
Navigating digital network: Mindfulness as a shield against cyberbullying in the knowledge economy era
In the rapidly evolving digital society, people's daily lives have become intricately woven
with online activities, driven by an ever-increasing demand for digital interconnectedness …
with online activities, driven by an ever-increasing demand for digital interconnectedness …
Shielding against online harm: A survey on text analysis to prevent cyberbullying
Cyberbullying poses a digital threat to society. In this survey, we explain what cyberbullying
is and its various forms. We focus on social media platforms and instant messaging apps …
is and its various forms. We focus on social media platforms and instant messaging apps …
Few-shot cyberviolence intent classification with Meta-learning AutoEncoder based on adversarial domain adaptation
The phenomenon of cyberviolence has become a critical issue in online security, drawing
attention from various stakeholders. A major shortcoming in the previous works is the …
attention from various stakeholders. A major shortcoming in the previous works is the …
Deep Learning as a Digital Tool for the Detection and Prevention of Cyberbullying
R Seminario-Córdova, MÁC Oyola… - … Cyberbullying in Digital …, 2023 - taylorfrancis.com
The present research aimed to explore the state-of-the-art of deep learning (DL) techniques
focused on the automatic detection of offensive behavior on the Internet, a problematic also …
focused on the automatic detection of offensive behavior on the Internet, a problematic also …
Detecting cyberbullying using deep learning techniques: a pre-trained glove and focal loss technique
This study investigates the effectiveness of various deep learning and classical machine
learning techniques in identifying instances of cyberbullying. The study compares the …
learning techniques in identifying instances of cyberbullying. The study compares the …
F-DenseCNN: feature-based dense convolutional neural networks and swift text word embeddings for enhanced hate speech prediction
S Shilpashree, DV Ashoka - Social Network Analysis and Mining, 2024 - Springer
Hate speech on social media platforms poses a significant threat to individuals and society,
necessitating robust automated detection systems. While existing approaches employ …
necessitating robust automated detection systems. While existing approaches employ …