Listar por tema "Convolutional Neural Network (CNN)"
Mostrando ítems 1-4 de 4
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ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System
(International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society. Realworld ... -
Deobfuscating Leetspeak With Deep Learning to Improve Spam Filtering
(International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ... -
Performance and Communication Cost of Deep Neural Networks in Federated Learning Environments: An Empirical Study
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2024)Federated learning, a distributive cooperative learning approach, allows clients to train the model locally using their data and share the trained model with a central server. When developing a federated learning environment, ... -
The Application of Deep Learning for Classification of Alzheimer's Disease Stages by Magnetic Resonance Imaging Data
(International Journal of Interactive Multimedia and Artificial Intelligence, 07/2023)Detecting Alzheimer’s disease (AD) in its early stages is essential for effective management, and screening for Mild Cognitive Impairment (MCI) is common practice. Among many deep learning techniques applied to assess brain ...
