Results 81 to 90 of about 242,765 (301)
Significant overlap exists between traditional victimization and peer cyber-victimization. Yet, they can also be somewhat differentiated. Adopting person-centered approaches, studies showed that multiple classes of peer victimization are distinguishable.
Gianluca Gini +4 more
doaj +1 more source
Model of Cyber Victimization: Study on College Student in Indonesia
Cyber victimization is an emerging concern in the digital age, affecting a significant number of internet users, especially youth. This study aims to explore the psychological and behavioral factors contributing to cyber victimization, focusing on ...
Sigit Nugroho +4 more
semanticscholar +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Cyberbullying and emotional distress in adolescents: the importance of family, peers and school
The paper examines the role of socioeconomic status, family, parenting styles, peer relations and school factors in cyber-bullying with focus on emotional consequences. A survey was conducted with 259 participants (202 female) aged 19–25.
Goran Livazović, Emanuela Ham
doaj +1 more source
Examining Cyber Bullying and Cyber Victimization in High School Students
The aim of this research is to examine some variables related to cyber bullying and cyber victimization in high school students. It was investigated whether there is a difference for cyber bullying and cyber victimization behaviours, in terms of gender ...
Demet Pekşen Süslü
core +1 more source
A zero‐watermarking algorithm that combines a refined convolutional additive self‐attention vision transformer (CAS‐ViT) with a discrete wavelet transform variance‐based feature descriptor (DVFD) is proposed for protecting the privacy of medical images in mobile healthcare services.
Pei Liu +6 more
wiley +1 more source
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source
Patterns of Cyberbullying Victimization in US Adolescents: A Latent Class Analysis
This study used latent class analysis (LCA) with binary observed indicators to identify latent classes of victimization, based on the extent to which adolescents in the U.S. experienced traditional victimization and cyber-victimization.
Diana Mindrila
doaj +1 more source
{"references": ["Campbell, M. A. (2005). Cyber bullying: An old problem in a new guise? Australian Journal of Guidance and Counselling, 15(1), 68-76.", "\u00c7etin, B., Peker, A., Ero\u011flu, Y., & \u00c7itemel, N. (2011) Interpersonal cognitive distortions as a predictor of cyber victimization and bullying: A preliminary report in adolescents ...
Sezer, Merve +2 more
openaire +2 more sources
The aim of the study is to explain the university students' cyber bullying and cyber victimization level according to the social adjustment and certain demographic variables. The research is descriptive study.
Erbicer, EYÜP SABIR
core +1 more source

